{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Code for BC on Andes Paper\n",
    "### Structure of the code\n",
    "\n",
    "* Introduction & coordinates of important locations.\n",
    "* Upload of neccesary packages\n",
    "* Functions for the paper\n",
    "* Plot fire, glacier, observation locations\n",
    "* Get total BC/Dust for the full columns\n",
    "* Precipiation observations means (thermal year totals, and monthly means) and comparison to MERRA-2: Get monthly and annual ratios\n",
    "* Plots w/ 2014-2019 thermal year dep avg with a normalized wet deposition\n",
    "* Compare normalized-GC with observations at Huascaran & Quelcayya\n",
    "* Compare normalized-GC w/ snow-top observations\n",
    "* Get estimate of BC on snow for areas with gridcells above 2000 m\n",
    "* Upload and plot results from SNICAR with the normalized estimates from GEOS-Chem \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Andes BC Deposition Python Code \n",
    "This code is used to plot BC depostion in the Andes.\n",
    "\n",
    "Coordinates (Lat, Lon) from locations in the Andes: \n",
    "    * Shallap:-9.48808194, -77.33425479\n",
    "    * Yanapaccha: -9.02847473, -77.5818767\n",
    "    * Huascaran: -9.1, -77.6\n",
    "    * Quelccaya: -13.9, -70.8\n",
    "    * Illimani: -16.6333, -67.7908\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import re\n",
    "import numpy as np\n",
    "import csv\n",
    "import glob\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as matplotlib\n",
    "import datetime as dt\n",
    "from datetime import datetime\n",
    "import matplotlib.dates as dplt\n",
    "from matplotlib.dates import date2num\n",
    "import seaborn as sns\n",
    "\n",
    "# GESO-chem & GFED\n",
    "# those modules are almost always imported when working with model data\n",
    "%matplotlib inline\n",
    "\n",
    "import cartopy\n",
    "from cartopy import config\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.mpl.ticker as cticker\n",
    "\n",
    "import xarray as xr # the major tool to work with NetCDF data!\n",
    "import matplotlib.colors as colors\n",
    "from netCDF4 import Dataset\n",
    "#import h5py\n",
    "\n",
    "\n",
    "# matplotlibdate format modules\n",
    "from matplotlib.dates import DateFormatter\n",
    "import matplotlib.dates as mdates\n",
    "import seaborn as sns; \n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style(\"ticks\")\n",
    "\n",
    "#from Hannah Nesser\n",
    "import format_plots as fp\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "#mkdir ../PP1_figs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Latex error\n",
    "from matplotlib import rc\n",
    "rc(\"text\", usetex=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Function that sums fire counts into grid cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "## code from Tia Scarpelli\n",
    "#turn Summing  to true if you want emissions\n",
    "def pt2grid(data,res=0.25, years=7, latlon_names=['latitude','longitude'],group_key='emissions',summing=False,mean =False):\n",
    "    df = data.copy()\n",
    "    Lat_low = -90\n",
    "    Lon_left = -180\n",
    "    grid = np.zeros([len(np.arange(-90,90,res)),len(np.arange(-180,180,res))])\n",
    "   \n",
    "    ## Getting the index in the grid for each lat, lon point\n",
    "    # added in round to 3 decimals in case points are on edges of grid cells\n",
    "    df['i_lat'] = np.round((df[latlon_names[0]] - Lat_low)/res,decimals=3).astype(int)\n",
    "    df['i_lon'] = np.round((df[latlon_names[1]] - Lon_left)/res,decimals=3).astype(int)\n",
    "   \n",
    "    ## Grouping together all entries that fall in the same grid cell\n",
    "    # if you want to find the sum in each grid cell for a given metric (e.g. emissions)\n",
    "    if summing:\n",
    "        group_df = df.groupby(by=['i_lat','i_lon']).sum().loc[:,group_key]\n",
    "    # if you want to find the mean of fires/wells for a number of yrs\n",
    "    elif mean:\n",
    "        group_df = df.groupby(by=['i_lat','i_lon']).count().loc[:,latlon_names[1]]\n",
    "        group_df= group_df/years\n",
    "    # if you want to count the entries for each grid cell (e.g. number of oil wells)\n",
    "    else:\n",
    "        group_df = df.groupby(by=['i_lat','i_lon']).count().loc[:,latlon_names[1]]\n",
    "   \n",
    "    ## Putting all grid cell emissions or entry counts in the grid cell\n",
    "    np.put(grid,np.ravel_multi_index((group_df.index.get_level_values('i_lat'),group_df.index.get_level_values('i_lon')),grid.shape), group_df)\n",
    "    \n",
    "    #printing lat lot for grid\n",
    "    lon = np.arange(-180,180,res)\n",
    "    lat = np.arange(-90,90,res)\n",
    "    \n",
    "    return grid, lat, lon, res\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot fire locations for 2014-2019 along w/ glacier locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/2541229531.py:3: DtypeWarning: Columns (5) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  fires_df=pd.read_csv('../BC_Andes_files/amazon_fires_2000_2019.csv')\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Satellite</th>\n",
       "      <th>Country</th>\n",
       "      <th>State</th>\n",
       "      <th>County</th>\n",
       "      <th>Biome</th>\n",
       "      <th>diasemchuva</th>\n",
       "      <th>Precipitation</th>\n",
       "      <th>Fire_risk</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>FRP</th>\n",
       "      <th>datetime</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AQUA_M-T</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>Alto Parana</td>\n",
       "      <td>Nacunday</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-26.227</td>\n",
       "      <td>-54.663</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004-08-17 17:29:00+00:00</td>\n",
       "      <td>2004</td>\n",
       "      <td>08</td>\n",
       "      <td>2004-08-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AQUA_M-T</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Buenos Aires</td>\n",
       "      <td>Baradero</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-33.912</td>\n",
       "      <td>-59.264</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004-08-15 17:39:00+00:00</td>\n",
       "      <td>2004</td>\n",
       "      <td>08</td>\n",
       "      <td>2004-08-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AQUA_M-T</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>Paysandu</td>\n",
       "      <td>n.a31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-31.617</td>\n",
       "      <td>-57.609</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004-01-27 17:45:00+00:00</td>\n",
       "      <td>2004</td>\n",
       "      <td>01</td>\n",
       "      <td>2004-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AQUA_M-T</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>Chaco</td>\n",
       "      <td>San Fernando</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-27.876</td>\n",
       "      <td>-59.026</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004-08-31 17:41:00+00:00</td>\n",
       "      <td>2004</td>\n",
       "      <td>08</td>\n",
       "      <td>2004-08-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AQUA_M-T</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>Presidente Hayes</td>\n",
       "      <td>Villa Hayes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-24.218</td>\n",
       "      <td>-58.530</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004-08-31 17:42:00+00:00</td>\n",
       "      <td>2004</td>\n",
       "      <td>08</td>\n",
       "      <td>2004-08-31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Satellite    Country             State        County Biome  diasemchuva  \\\n",
       "0  AQUA_M-T   Paraguay       Alto Parana      Nacunday   NaN          NaN   \n",
       "1  AQUA_M-T  Argentina      Buenos Aires      Baradero   NaN          NaN   \n",
       "2  AQUA_M-T    Uruguay          Paysandu         n.a31   NaN          NaN   \n",
       "3  AQUA_M-T  Argentina             Chaco  San Fernando   NaN          NaN   \n",
       "4  AQUA_M-T   Paraguay  Presidente Hayes   Villa Hayes   NaN          NaN   \n",
       "\n",
       "   Precipitation  Fire_risk  latitude  longitude  FRP  \\\n",
       "0            NaN        NaN   -26.227    -54.663  NaN   \n",
       "1            NaN        NaN   -33.912    -59.264  NaN   \n",
       "2            NaN        NaN   -31.617    -57.609  NaN   \n",
       "3            NaN        NaN   -27.876    -59.026  NaN   \n",
       "4            NaN        NaN   -24.218    -58.530  NaN   \n",
       "\n",
       "                   datetime  Year Month        Date  \n",
       "0 2004-08-17 17:29:00+00:00  2004    08  2004-08-17  \n",
       "1 2004-08-15 17:39:00+00:00  2004    08  2004-08-15  \n",
       "2 2004-01-27 17:45:00+00:00  2004    01  2004-01-27  \n",
       "3 2004-08-31 17:41:00+00:00  2004    08  2004-08-31  \n",
       "4 2004-08-31 17:42:00+00:00  2004    08  2004-08-31  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## setting up fires dataframe\n",
    "#upload and plot fire locations \n",
    "fires_df=pd.read_csv('../BC_Andes_files/amazon_fires_2000_2019.csv')\n",
    "fires_df['datetime']= pd.to_datetime(fires_df['datahora'], format='%Y/%m/%d %H:%M:%S', utc=True)\n",
    "del fires_df['datahora']\n",
    "#make column for yr and month\n",
    "fires_df['Year'] = fires_df['datetime'].map(lambda x: x.strftime('%Y'))\n",
    "fires_df['Month'] = fires_df['datetime'].map(lambda x: x.strftime('%m'))\n",
    "fires_df['Date'] = fires_df['datetime'].map(lambda x: x.strftime('%Y-%m-%d'))\n",
    "# edit names of columns to english \n",
    "fires_df.rename(columns={'satelite': 'Satellite', 'pais': 'Country','estado':'State','municipio':'County'\n",
    "                         ,'bioma':'Biome','diaemchuva':'Days_without_rain','precipitacao':'Precipitation'\n",
    "                        ,'riscofogo':'Fire_risk','frp':'FRP'}, inplace=True)\n",
    "fires_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "#selecting fires for 2014-2019\n",
    "fires_14_19=fires_df[(fires_df['Year']>='2014')& (fires_df['Year']<='2019')]\n",
    "##Fire avg per gridcell for 2014-2019\n",
    "grid_data_fires_mean_14_19,lat_f, lon_f,res = pt2grid(fires_14_19,summing=False, mean=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/1049239548.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  site[4]='Illimani'\n",
      "/tmp/ipykernel_32626/1049239548.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  lat_obs[4]= -16.63\n",
      "/tmp/ipykernel_32626/1049239548.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  lon_obs[4] = -67.79\n"
     ]
    }
   ],
   "source": [
    "#getting information/location for both snow & climate observation sites \n",
    "BC_snowconc_xls=pd.ExcelFile('../BC_Andes_files/BC_snow_peru.xlsx')\n",
    "BCdata_coor= pd.read_excel(BC_snowconc_xls, 'Coordinates')\n",
    "lat_obs, lon_obs,site = BCdata_coor.Lat, BCdata_coor.Lon,BCdata_coor['Glacier']\n",
    "site[4]='Illimani'\n",
    "lat_obs[4]= -16.63\n",
    "lon_obs[4] = -67.79\n",
    "#coordinates for climate obs sites\n",
    "lat_clim=[-8.648]#, -16.577]\n",
    "lon_clim=[-77.55]#, -70.208]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Figure for observations and climate data\n",
    "## # NOT IN PAPER\n",
    "Reds_trans = fp.cmap_trans('Reds')# makes tranparent at lower end\n",
    "Reds_trans_r = fp.cmap_trans('Reds')# makes tranparent in the middle of the spectrum\n",
    "\n",
    "fig = plt.figure(figsize=[13, 10])\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())# the \"projection\" keyword makes the axis aware of Earth geometry\n",
    "ax.add_feature(cartopy.feature.LAND, color='0.98')\n",
    "#ax.add_feature(cartopy.feature.OCEAN, alpha=0.5)\n",
    "ax.add_feature(cartopy.feature.COASTLINE) # overlay continents\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "\n",
    "# colorbar bounds\n",
    "bounds =  np.linspace(0, 300, 19)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "\n",
    "im = ax.pcolormesh(lon_f, lat_f, grid_data_fires_mean_14_19, cmap=Reds_trans, norm=norm)\n",
    "#labeling location\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='darkslateblue', marker=\"^\", alpha=0.9, label= 'Snow Obs.')\n",
    "ax.scatter(lon_clim, lat_clim, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=250, \n",
    "           c='black', marker=\"*\", alpha=0.6, label= 'Precip. Obs.')\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "# Create custom legend with the same format as in the previous example\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=3, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "ax.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')\n",
    "ax.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')\n",
    "ax.text(-67.5, -17, 'Illimani',fontsize=14,fontweight='light', ha='left',va='top',color='k')\n",
    "\n",
    "ax.text(-77, -9, 'Yanapaccha',fontsize=14,fontweight='light', ha='left',va='top',color='k')\n",
    "ax.text(-77, -10, 'Shallap',fontsize=14,fontweight='light', ha='center',va='top',color='k')\n",
    "ax.text(-79, -8.6, 'Artesonraju',fontsize=14,fontweight='light', ha='right',va='bottom',color='k')\n",
    "\n",
    "ax.text(-74, -5, 'Peru',fontsize=18,fontweight='bold', ha='right',va='top',color='k')\n",
    "ax.text(-62, -4, 'Brazil',fontsize=18,fontweight='bold', ha='right',va='top',color='k')\n",
    "\n",
    "cbar=fig.colorbar(im, orientation='vertical',  label='Mean fire count', pad=0.05);\n",
    "cbar.set_ticks([0,50,100,150,200,250,300])\n",
    "cbar.set_ticklabels([0,50,100,150,200,250,300])\n",
    "#fig.set_size_inches(3.7, 3.7)\n",
    "#fig.savefig('test2png.png', dpi=300)\n",
    "plt.title(\"Mean number of fires in Andes and observation locations for 2014-2019.\",y=1.05, fontsize=20);\n",
    "plt.savefig(\"fire_obs_locAndes14_19.pdf\", transparent=True,dpi=300)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ISO-8859-1\n"
     ]
    }
   ],
   "source": [
    "###to find encoding for the csv file\n",
    "import chardet    \n",
    "rawdata = open('../BC_Andes_files/glacier_inventory_region_extract.csv', 'rb').read()\n",
    "result = chardet.detect(rawdata)\n",
    "charenc = result['encoding']\n",
    "print(charenc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wgi_glacier_id</th>\n",
       "      <th>glacier_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>total_area</th>\n",
       "      <th>mean_elev</th>\n",
       "      <th>primary_class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PE1D3520CA12</td>\n",
       "      <td>HUAYRICANCHA</td>\n",
       "      <td>-11.691</td>\n",
       "      <td>-76.202</td>\n",
       "      <td>0.4400</td>\n",
       "      <td>5012</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PE1D35131003</td>\n",
       "      <td></td>\n",
       "      <td>-13.194</td>\n",
       "      <td>-72.019</td>\n",
       "      <td>0.1500</td>\n",
       "      <td></td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AR1I0134A011</td>\n",
       "      <td></td>\n",
       "      <td>-39.940</td>\n",
       "      <td>-71.459</td>\n",
       "      <td>0.0370</td>\n",
       "      <td></td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AR1J11178308</td>\n",
       "      <td></td>\n",
       "      <td>-33.268</td>\n",
       "      <td>-69.876</td>\n",
       "      <td>0.3200</td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BO1D22114312</td>\n",
       "      <td></td>\n",
       "      <td>-14.667</td>\n",
       "      <td>-69.167</td>\n",
       "      <td>0.0300</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  wgi_glacier_id   glacier_name     lat     lon  total_area  mean_elev  \\\n",
       "0   PE1D3520CA12   HUAYRICANCHA -11.691 -76.202      0.4400       5012   \n",
       "1   PE1D35131003                -13.194 -72.019      0.1500              \n",
       "2   AR1I0134A011                -39.940 -71.459      0.0370              \n",
       "3   AR1J11178308                -33.268 -69.876      0.3200              \n",
       "4   BO1D22114312                -14.667 -69.167      0.0300              \n",
       "\n",
       "   primary_class   \n",
       "0               6  \n",
       "1               6  \n",
       "2               6  \n",
       "3               9  \n",
       "4               0  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###uploading glacier locations in the world and plotting them\n",
    "#glacier from the World Glacier Inventory\n",
    "#url: https://nsidc.org/data/glacier_inventory/\n",
    "glaciers_df=pd.read_csv('../BC_Andes_files/glacier_inventory_region_extract.csv', encoding = 'ISO-8859-1')\n",
    "glaciers_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sW7dOiYmJLsemTJmimJiYRq2L1o/iLQAA0GIUFxdrzpw5evbZZ7V8+XL95S9/0SOPPOI076233lLXrl09kCEAAADQ/iQkJBiOCwoKlJ6e7plkAHhERESE05aqbJ0IAADgOS+99JJOnDjRJGu/9dZb+sc//lHr+KJFixQSEtLgdb/3ve/VOvbrX/9aFy5caNB6lZWVevLJJ1VWVuZyfOnSpfLx8WnQmtWioqK0YMECl2NlZWV68sknVVlZ2aA1L1y4oF//+te1jj/00EMNWg9tC8VbAACgRSgtLdX8+fNr3Ze8WkREBFu0AAAAAM0oKipKUVFRhlhSUpKHsgHgCWazWV26dDHEKN4CAADwnI0bN2ru3Ln6+c9/rrS0NLesmZubq1/+8pd67rnnap0THBys73//+41a/6abbtLQoUNdjuXl5em+++7TxYsX67VWeXm5fvKTn9TaxSomJkb33HNPo/Ks9qMf/UhBQUEux/bv36/HH3+81u0aa7p48aLuvfde5eXluRyfN2+e4uPjG5sq2gCKtwAAQIvwm9/8Rhs3brzqvLFjx8pkMjVDRgAAAACqDR482HCckpKi/fv31/uNagCtX/fu3Q3Hjd0qBgAAAO5htVq1YsUKzZs3T3PmzNHf/vY3HTlyRFartUHrpKWl6fnnn9fMmTP16aef1jn3V7/6lTp16tSofE0mk37961/X2g3r1KlTWrBggVavXi273V7rOgcOHNBtt92mL7/8stbrPPPMM43uulUtIiJCP/3pT2sd/+KLL7RkyRIdPHiw1jl2u12rVq3SggULau1gHR4erp/97GfXlCtaPy9PJwAAAJCfn6+///3vhlhYWJgmTZqko0eP6tixY6qoqFDXrl31q1/9ykNZAgAAAO1XXFycNm3a5HgDvaKiQmvWrNGmTZt04403asiQITxkAbRxXbt2NRxfuHBBVqtVFovFQxkBAACg2vHjx/XSSy/ppZdekp+fn2JjYzVgwAB16tRJISEhCg4Olr+/v4qLi1VUVKScnBwdOXJEqamp9e529fDDD2vevHnXlGf//v31i1/8Qs8++6zL8ZycHD355JP685//rClTpig2NlYhISEqLS3VqVOntGPHjqt2gv7e976n8ePHX1Oe1W677Tbt2rVL69evdzmekpKixYsXa8iQIRo/frx69OghPz8/FRYWKi0tTZs3b67zoQeTyaTnn39ekZGRbskXrRfFWwAAwOP+/e9/q6CgwHFsMpm0Zs0ajRw5UtJ3T49cvnxZ4eHh8vLixxcAAACguYWEhKhnz546efKkIV5aWqqVK1cqLS1Nc+bMUWBgoIcyBNDUunXrZjiuqqrSxYsXnYq6AAAA4FllZWU6ePBgnR2hGurRRx/VY4895pa17rzzTp0/f16vvfZarXPOnz+vd955p8Frz507Vz/+8Y+vITtnzz//vHJycvTtt9/WOufQoUM6dOhQg9d+5plndP31119Lemgj2DYRAAA0SkFBgaqqqrR582YtWrRIb7zxhjIzMxu8TkVFhV588UVD7Oabb3YUbkmSxWJRp06dKNwCAAAAPGjmzJnq2LGjy7EjR47o5Zdf1tGjR5s5KwDNxc/PT76+voZYaWmph7IBAABAcwgPD9c///lPtxVuVfvZz36mH/zgB27t4LxkyRL94Q9/kNns3jIYPz8/vfzyy5o8ebLb1vT29tZvf/tb3XbbbW5bE60bxVsAAKDBLl26pKFDh+rpp5/WZ599pk8//VT33XefoqOj9cQTT8hms9V7rY8++khnz541xB5//HF3pwwAAADgGkVEROj73/++lixZot69ezuNFxcXa9myZXU+jQyg9crLy1N5ebkhFhER4aFsAAAA2rfevXu7vUjpSgEBAbrvvvv0xRdfaMqUKU1yjR/+8If6xz/+oaioqGtap0OHDnruuef07LPPNlkTgMDAQP3jH//Q448/Lj8/v2taq3fv3nr33Xd16623uik7tAW0rwAAAA1SWlqq+fPn69SpU3ruuecMYzabTS+88IJGjx6txYsXX3WtS5cu6emnnzbExo4dqzFjxrg1ZwAAAADuYTabFRsbq9jYWKWkpGjdunUqKSlxjNvtdq1fv175+fmaNm2aW5+iBuBZ58+fNxwHBAQoNDTUQ9kAAAC0by+88IL+53/+R9u2bdO2bdu0f/9+p5/XGspkMmno0KGaNWuWFixYoJCQEDdlW7spU6Zo9OjReuutt/T+++8rKyur3ueGhITo1ltv1QMPPKDw8PAmzPI7ZrNZDz30kObMmaNXXnlFK1euVFlZWb3Pj4mJ0T333KMlS5bI29u7CTNFa0TxFgAAaJBHH31U33zzTZ1zHn/8cc2aNUvBwcG1zsnPz9esWbN08uRJQ/wnP/mJW/IEAAAA0LQGDhyomJgYrV27VmlpaYaxXbt2qaCgQDfffDPbnwNtREZGhuE4OjqaAk0AAAAPCg8P180336ybb75ZknT58mUdPHhQR48e1ZkzZ3Tu3DldvHhRxcXFKikpUVlZmSwWi3x8fBQaGqqOHTuqa9eu6t27twYOHKjhw4crLCys2V9HYGCgHnnkET344IPau3evtm7dqiNHjujUqVPKz89XeXm5fH19FRQUpOuuu079+/fX+PHjNXbs2GvugtUY3bp107PPPquf/vSn2rZtm7755hsdPXpUZ8+eVVFRkSorK+Xv768OHTqoV69eGjRokG644QbFx8c3abc0tG68cwIAAOqtoKBAb775plN8xIgR2rt3r+P4/PnzeuWVV/TEE0+4XKesrEwLFixQYmKiIT58+HDNnTvXrTkDaD2sHaI9nYJBS8vHnSx5GVefVA/u+hpZ3LKKZN+9zi3r2Gbc75Z1AKA9CAoK0uLFi7V9+3Z99dVXhrHDhw+ruLhYt956q/z9/T2UIQB3qVm81bVrVw9lgtbAXfccOnnQLctYerllGffdA7WwezJ3aok5AUB70bFjR02ZMqXJtjlsat7e3ho7dqzGjh3r6VTqJTg4WLNnz9bs2bM9nQraAMr6AABAvfn5+Tm1cv3jH/+oHTt2aOrUqYb47t27Xa5RVVWlu+++2+mDnR49emj58uWyWNz1ET4AAACA5mAymTRx4kTNmzfP6Sni9PR0vfXWW8rPz/dQdgDcwW6368KFC4ZYdDQFGgAAAADgDhRvAQCAevPx8dFNN91kiK1evVomk8npyYLMzEyn89PS0jRz5kx98sknhnhkZKTWrl2rLl26uD9pAAAAAM1i6NChuv322+Xj42OIZ2Zm6vXXX9fFixc9lBmAa5WVlaWKigpDjHt4AAAAAHAPircAAECD3H777YbjrVu36q9//asiIiIM8UuXLjn+v6SkRL/85S81ePBgbdq0yTAvKChIq1evVt++fZsuaQAAAADNonfv3rrnnnsUFBRkiBcWFurdd99Vdna2hzIDcC2SkpIMxyEhIQoODvZQNgAAAADQtlC8BQAAGmTOnDkKDQ01xH7605/q+9//viFW3XkrOztbN9xwg/7whz+osrLSMMfHx0effPKJhg0b1rRJAwAAAGg20dHRuu+++xQZGWmIl5SU6P3331dhYaGHMgPQGFarVQcPHjTEBgwY4KFsAAAAAKDtoXgLAADUqri4WKWlpYaYn5+ffvaznznNLSkpMRzn5+frzJkzuv7667V3716n+V27dtVnn32mKVOmuDdpAAAAAB7XoUMHLV26VDExMYZ4Xl6ePvjgA5WVlXkoMwANdfToURUVFRliPIQFAAAAAO5D8RYAAHBSVlamO+64Q0FBQQoICFCXLl00btw43X777XrqqafUsWNH3XHHHXWuER0drfHjxys1NdUQ9/Ly0uOPP66kpCRNnz69KV8GAAAAAA/y9/fXHXfcoS5duhjiFy9e1EcffaSqqioPZQagIY4ePWo47tatm1NnPQAAAABA43l5OgEAAOAZRUVFMplMCgwMNMQrKyt1++23a8WKFY5YRkaGMjIytGvXrnqvf+7cOadY9+7dtWLFCg0ePLjReQMAAABoPXx8fHT77bfrjTfeUE5OjiOenp6uFStWaOHChTKbeb4UaMnKy8sNxxUVFR7KBAAAAADaJt4ZAQCgHTl06JB+/etfa/jw4QoODlZwcLDGjh2r3//+9zpy5IisVqseeOABQ+GWu8TGxmrLli0UbgEAAADtTGBgoO68806nB0dSUlK0YcMG2e12D2UGoD5CQkIMx5mZmXrvvfe0Z88e5eXleSYpAAAAAGhD6LwFAEA7cPToUf3gBz/Qxo0bDXG73a5vvvlG33zzjZ566ilFR0crIyPD7defMGGCli1bxrYKAAAAQDsVFhamO+64Q2+99Zaha8+ePXtks9l04403ytvb24MZAqhN79699e233xpiJ06c0IkTJ/T5558rMjJSffr0Ud++fdW9e3dZLBYPZQoAAAAArRPFWwAAtGHl5eV6/vnn9dxzzzltc+BKzcItPz8/vfbaa/Lz89Pp06eVnp5u+FVQUFDrWj4+PlqwYIHuv/9+XX/99WyFAgAAALRz0dHRWrx4sT744ANZrVZHfN++fTpz5owWLFigzp07ezBDAK707dtX06ZNc3ogrFpWVpaysrK0a9cu+fr6KiwsTAEBAQoMDFRgYKCCgoIMx9W/vLz4eAIAAAAAJIq3AABos77++ms9/PDDOnLkSKPO9/Ly0gcffKA5c+bUOic3N1fp6emOwq7Tp0+roKBACQkJuv3229WxY8fGpg8AAACgDerVq5fmzZunzz77zBDPysrSa6+9pilTpmjMmDEymUweyhCAK+PGjZO/v782bNhg6J5XU3l5uS5evFivNf38/ByFXNXFXfUp6PLx8VFISIiCg4MVGhqqkJAQ+fn58fcGAAAAgFaL4i0AANqYsrIy/fCHP9S///1vl+OdO3fWokWLNHfuXFVWVmrVqlVas2aNoeuWyWTS66+/XmfhlvTd1idhYWFKSEhw62sAAAAA0HYNHjxYVqtVn3/+uSorKx1xq9WqL7/8Uunp6brlllvYRhFoYRISEjRgwAAdP37c8aukpKTR65WVlamsrEyXL1++5tyqC7qqf1UXdV1Z4OXr63vN1wEAAACApkDxFgAAbYjNZtPSpUu1bNkypzGz2axHH31UTz/9tIKDgx3xGTNm6KWXXtLevXu1du1aZWZm6s4779SECROaM3UAAAAA7cjQoUPVrVs3ffbZZ07btx87dkzvv/++lixZIj8/Pw9lCMAVPz8/xcXFKS4uTjabTRcuXNCxY8d0/Phxp+/l5lRRUaHs7GxlZ2fXOqdDhw664YYbFB8f34yZAQAAAMDVUbwFAEAb8vTTT7ss3Bo2bJj++c9/1tohy2w2a9SoURo1alRTpwgAAAAAkqSIiAjdd9992rJli3bu3Cm73e4YO336tN555x3deeedCggI8GCWAGpjNpvVrVs3devWTZMnT1ZhYaEuXryo4uJilZSUqLi42OUvm83mkXzz8vK0du1a9ezZUyEhIR7JAQAAAABcoXgLAIA24u2339Zvf/tbQywgIEC//e1v9f3vf18Wi8VDmQEAAACAaxaLRVOnTlWvXr308ccfq6yszDGWkZGhDz/8UPfee69MJpMHswRQH8HBwYZO367Y7XaVlZU5CrmKiooMhV5XK+yqPr+goEAFBQUqKipqUI5VVVU6deoU3bcAAAAAtCgUbwEA0AZs3bpVDz74oCFmNpu1bNkyzZgxw0NZAQAAAED99OzZU/fcc4/ee+89QzHGuXPndOrUKfXq1cuD2QFwF5PJJH9/f/n7+ysiIuKa16uqqlJhYaEKCgqUn5+vwsJC5efnO4q7CgoKVFJSYjgnIyOD4i0AAAAALQrFWwAAtHInTpzQwoULVVFRYYj/5S9/oXALAAAAQKsRFRWle+65R2+//bYKCwsd8TNnzlC8BcAlLy8vhYWFKSwsrNY527Zt01dffeU4zsjIaI7UAAAAAKDeKN4CAKCV+/73v6/Lly8bYo8++qgefvhhD2UEoKlZ8tzzYYO1Q7Rb1nEXy/717lmol3ueojcVZLtlHXv2ebesY4ro6pZ1JMkecu1dDtzJXV9rjZ7tnnUAAB7TsWNHxcXFadeuXY7Y2bNnPZgRgNYuOtp433Px4kXZbDaZzWYPZYSGsGe5537K7K77KTfdR7e0+3EAAAB4FncnAAC0Ylu3btWXX35piM2ePVt//OMfPZQRAAAAAFybbt26GY7Pnz8vm83moWwAtHY1i7cqKyuVne2mhwcAAAAAwA0o3gIAoBV75plnDMedO3fWO++8I4vF4pmEAAAAAOAa1SzeqqioUG5uroeyAdDaBQQEyMfHxxArLi72UDYAAAAA4IziLQAAWqktW7boq6++MsR+/vOfKzg42EMZAQAAAMC1y8nJcYrVLLwAgPoqLi5WRUWFIdahQwfPJAMAAAAALlC8BQBAK7V8+XLDcdeuXXX//fd7KBsAAAAAcI+jR48ajqOionhIBUCjZWVlGY69vb0p3gIAAADQolC8BQBAK3Xx4kXD8e233y4/Pz8PZQMAAAAA185utystLc0Qi42N9VA2ANqC7Oxsw3FERIRMJpOHsgEAAAAAZxRvAQDQShUVFRmOw8PDPZQJAAAAALhHUVGR07aJ/fr181A2ANqCmsVbHTt29FAmAAAAAOAaxVsAALRSxcXFhuOgoCAPZQIAAAAA7mE2O79dWVZW5oFMALQVNbdNjIyM9FAmAAAAAOAaxVsAALRSNTtvBQQEeCgTAAAAAHCPwMBARUdHG2IHDx70UDYA2gJX2yYCAAAAQEtC8RYAAK1UzeItOm8BAAAAaAuGDBliOD5y5AjdtwA0SmlpqdP7JxRvAQAAAGhpKN4CAKCVYttEAAAAAG1RXFycYfvEyspKpaamejAjAK1VWlqa4dhsNis8PNxD2QAAAACAaxRvAQDQStF5CwAAAEBbFBgYqL59+xpibJ0IoKHKy8u1efNmQ6xr166yWCweyggAAAAAXKN4CwCAVshmszkVbwUGBnooGwAAAABwr/j4eMPxmTNnlJOT46FsALRGO3bscHrvZMKECR7KBgAAAABqR/EWAACtUHl5uWw2myFG8RYAAACAtqJv374KCAgwxOi+BaC+cnNztWvXLkOsT58+Tl39AAAAAKAloHgLAIBWqOaToxLbJgIAAABoOywWiwYPHmyIHTp0SHa73UMZAWgtMjIy9PHHH8tqtTpiZrNZN954owezAgAAAIDaeXk6AQAA0HAUbwEAAABo6+Lj47V7927HcX5+vo4eParY2FgPZgWgpSgpKdHly5eVk5OjnJwcXb58Wbm5ubp48aJToefIkSMVERHhoUwBAAAAoG4UbwEA0Aq5Kt6quaUIAAAAADSX/Px8paWl6ejRo8rLy5Ovr6/8/f0VEBCg4OBgxcbGKiYmpkFrdu7cWVFRUbp06ZIjtnr1anXq1ElhYWHufgkAWoHTp09r+/btunDhgkpLS+t1TlBQkK6//vomzgwAAAAAGo/iLQAAWqHCwkLDcWBgoMxmdkMGAAAA0LzOnTunjRs36syZM3XO27VrlwYPHqwbb7xRgYGB9V5/xIgRWrt2reO4pKREy5Yt07333itfX99G5w2gdSkvL9fGjRu1b9++Bp0XERGhRYsWyd/fv4kyAwAAAIBrR/EWAACtUM3OW2yZCLR8lrwMt61l7RDttrXcwV35WHTQLeuYCrLdso5tywq3rGOKG+mWdewhbtzm5aR7vtaWXm5ZRvbs825Zxxoz2C3rAACurrS0VJs3b9b+/fudtierTVJSkk6cOKHp06dryJAhMplMVz0nISFBR48e1bFjxxyxzMxMrVu3TgsWLGh0/gBaj6NHj2rdunUqKCio9zleXl6aMGGCxo0bJy8vPgbxBLfdJ46e7ZZ16vcv1dW5897eHVra+wMAAABoHO5aAABohYqLiw3HDXlyHQAAAAAay263KykpSV9++aXTfUl9lJSUaOXKlcrKytK0adOuOt9sNmvhwoV64403lJmZ6YgnJydr6tSpCgkJaXAOAFqH4uJibdiwQcnJybXOMZvNCgsLU3h4uDp27Kjw8HCFh4erS5cu8vPza8ZsAQAAAKDxKN4CAKAVqtl5i+ItAAAAAE2tpKREq1evVlpamstxf39/9e3bVz179pTNZlNpaamKiop04MABlZWVGebu3LlT/fv3V7du3a56XV9fXy1ZskT/+te/VFFRIem7IrKUlBSNGTPm2l8YgBalukj0iy++UElJidO4t7e3Jk2apNjYWHXo0EFms9kDWQIAAACA+1C8BQBAK8S2iQAAAACa04kTJ7Ry5UqnexHpP4UUo0aNksVicRofO3asNmzYoJSUFEN8w4YNuu++++q1fWJYWJj69++vQ4cOOWKHDx+meAtoY7KysvTll1/q+PHjLsd79uypm266SWFhYc2cGQAAAAA0HYq3AABohWpuT5KTkyObzcbTpgAAAADcymq1avPmzdq1a5fL8X79+mnWrFkKDQ2tdY3g4GDdcsst2r59uzZv3uyInz9/XgcOHFBCQkK9comLizMUb50/f175+fl1XhtAy2e323Xy5El98803OnHihMs5fn5+uvHGGxUfH1+vgk8AAAAAaE0o3gIAoBWKjY01HKelpenNN9/Ufffd56GMAAAAALQ1drtdK1as0OHDh53GAgMDNXv2bA0YMKDe640dO1aHDh1Sdna2I7Z582YNGDBAfn5+Vz2/c+fOTrHS0lKKt4BWqrKyUklJSdq9e7eysrJqnTdgwADNmjWLruMAAAAA2izacwAA0ArdeOON6tevnyH2P//zP8rNzfVQRgAAAADaErvdrg0bNrgs3Ordu7ceeuihBhVuSZLFYtGNN95oiBUXF2vLli31Oj8tLc1w7O3tzdZpQCtUWFior776Sn/961+1Zs2aWgu3goKCdOutt+rWW2+lcAsAAABAm0bnLQAAWiFfX1/99a9/1axZsxyx7OxsPfvss/rzn//swcwAAAAA1Fd5ebm8vb1b5PbnO3bs0LfffmuIeXl5adq0aRo5cmSjty3r06eP+vXrp6NHjzpie/bsUXx8vKKjo+s8Nzk52XDct29f+fr6NioPAM0vIyND33zzjVJSUmS1Wmud5+/vr+HDh2vs2LHy9/dvxgwBAAAAwDMo3gIAoJWaOXOmbr75Zq1cudIRe/nll3Xfffdp8ODBHswMAAAAQF3sdru2b9+urVu3SpIGDRqkCRMmKCIiwsOZfScxMVGbN282xCwWi5YsWaLevXtf8/ozZszQqVOnVFlZKem7r8e6det077331lrIVl5erjNnzhhiffr0ueZcADSNiooKFRQUqLCwUHl5eTp06JBOnz5d5zmRkZEaPXq0Bg8eLG9v72bKFAAAAAA8j+ItAABasRdeeEEbNmxQWVmZJMlqteonP/mJvvzyy0Y/CQ8AAACgae3Zs0dfffWV4/jQoUNKSkpyFHF16tTJY7kdOXJEa9ascYrPmzfPLYVbkhQWFqaJEycaCsTOnz+v/fv3a8SIEbWeZ7FYVFVV5TjevXu34uLi5OXFW5yAJ+Xk5Cg5OVlnzpxRYWGhCgoKVF5eXu/ze/furdGjR6t37968lwEAAACgXeKdDQAAWrFevXrpySef1G9/+1tHbOvWrfr444+1ePFiD2YGAAAAwJUTJ05ow4YNTnG73a7k5GQdPnxYCQkJmj17drNvp3j69Gl9+umnstvthvjMmTPd3t137NixOnTokLKzsx2xzZs3q3///goKCnKa7+vrq5EjR2rXrl2O2KVLl/TVV19p+vTpbs0NwNXZ7XalpKRo9+7dOnfuXIPP9/Ly0pAhQzR69GhFRkY2QYYAAAAA0Ho07ztAAADA7X7xi18oJibGKVZcXOyhjAAAAAC4YrfbtX79eqfiqJpz9u/f77RtYVO7dOmSli1bZuhsJUkTJkzQqFGj3H49i8WiWbNmGWJlZWX68ssvaz1n8uTJioqKMsS++eYbnTp1yu35AahdQUGBli1bpuXLlze4cCs4OFiTJ0/Wj3/8Y910000UbgEAAACAKN4CAKDVCwwM1P/93/8ZYufOndMf/vAHD2UEAAAAwJUzZ87o8uXLhljv3r3l6+vrNHf37t3Kzc1tlrzy8vL0/vvvO7Zjr5aQkKDJkyc32XV79uzp1NErKSmp1mIsLy8vzZ8/37BNot1u15o1a2Sz2ZosTwD/cerUKb388ss6evRoveb7+fkpMjJSffv21fz58/XDH/5QEydOVEBAQBNnCgAAAACtB9smAgDQBixatEhTpkwxPJ3/5z//WQ8//LC6du3qwcwAAAAAVDt48KDhODIyUnfccYfKysq0e/du7dixQ1arVZJktVq1efNmLVq0qElzKi8v1/vvv6/CwkJDvF+/fpozZ45MJlOTXn/69Ok6duyYoXDs888/10MPPSSLxeI0PyoqSlOnTjVsPZmbm6uTJ0+qT58+TZor0N6dPHlSH374oVOHPkkKCAjQoEGD1LVrVwUHByskJETBwcHy8fHxQKYAAAAA0LrQeQsAgDbAbDbrxRdfNHy4UVFRoZ07d3owKwAAAADVKioqlJKSYojFx8fLZDLJ399fkyZN0ogRIwzjhw8fbvCWZA1ht9u1cuVKZWdnG+IxMTFatGiRzOamf+swKChIU6ZMMcSys7O1a9euWs8ZNWqUOnfubIglJiY2SX4AvnPx4kWXW6sGBQVpwYIF+slPfqJZs2ZpyJAh6tmzpzp27EjhFgAAAADUE8VbAAC0Eb1793aK0XULAAAAaBmOHDmiiooKx7HJZHLaMvD666+Xn5+fIbZx40bZ7fYmyWnnzp06cuSIIdapUyctWbJE3t7eTXJNV4YNG6YuXboYYlu3bq1120iTyaRhw4YZYmlpaSouLm6yHIH27uuvv1ZlZaUhFhsbq4cffliDBw922SkPAAAAAFA/FG8BANBGHDlyxLHFSrVBgwZ5KBsAAAAAVzp69KjhuHfv3goODjbE/P39df311xtiZ86cUWpqqtvzOXnypGHb9err33bbbfL393f79epiNps1e/ZswxaNVVVVWr9+fa2Fa3FxcYYCM5vNpkOHDjV5rkB7ZLPZlJ6ebogNHDhQt956qwICAjyTFAAAAAC0IRRvAQDQgmRlZRmexm+Imh9UXHfddQoNDXVHWgAAAACugdVq1cmTJw2xAQMGuJw7YsQIhYWFGWKbN292elDjWuTn5+vTTz81FEaZTCYtXLhQHTp0cNt1GqJLly5O20YeO3bMqTNYNT8/P6evYWJiYpN1KQPas8zMTJWXlxtiM2bMaJatVQEAAACgPfDydAIAAOC7Dxl+8pOf6Ouvv1ZQUJDmzp2r22+/XTfeeKN8fX3rtUZSUpLhmK5bQMti7RDt6RSajNeZpKtPqgd3fdRqzz7vlnXMk+a7ZZ2qmMFXn9Tchrnnz6Nl/3q3rKNe8e5ZBwBaqLNnz6qsrMwQ69Onj8u5Xl5emjJlipYvX+6I5eTkaPfu3Ro3btw151JVVaVPPvlEJSUlhvikSZNcbsXenCZPnqzU1FQVFRU5Yhs2bFDv3r3l4+PjND8hIcHwEEt2drbOnj2rmJiYZskXaC/Onj1rOA4LC3PqHAg0FXfdS1vyMtyyTkvjrvtxqYXeuwIAALQTPBoDAIAHZWVl6eGHH9aIESP09ddfS5KKior0wQcfaN68eerSpYseeOABbdq0SVVVVXWulZycbDiOi4trsrwBAAAA1F/NrludO3eus/Bh4MCB6tatmyH29ddfKy8v75pz2bBhg86fNxY69+vXTxMmTLjmta+Vn5+fpk+fbogVFBQ47pVqiomJUceOHQ2xxMTEJssPaK/OnDljOKZAEgAAAADci+ItAAA8oLKyUi+99JJiY2P1r3/9SzabzeW8nJwcvfbaa5o2bZpiYmL0ox/9SLt27XI5v2bnLYq3AAAAgJah5nZjOTk5KigoqHW+yWTSjBkzZDKZHLHKykpt2LDhmvJITEzUvn37DLHw8HDNnz/fcC1PiouLU8+ePQ2x3bt369KlS05zTSaTEhISDLGUlBSnLmcAGs9ut1O8BQAAAABNjOItAACa2ebNmzVs2DD98Ic/VG5ubr3Py8jI0Isvvqhx48apb9+++uUvf+nYIiQnJ8fp6XmKtwAAAICWIT4+3lAcVVFRoS+++KLOc7p27aphw4YZYmlpaUpLS2tUDhkZGfr8888NMW9vb916663y8/Nr1JpNwWQyafbs2bJYLI6YzWbT559/LrvdeZPlIUOGyGz+z1uclZWVOnz4cLPkCrQHeXl5KiwsNMS6d+/uoWwAAAAAoG2ieAsAgGZy+vRpLV68WFOnTnXa4lCSAgIC9Mwzz+gvf/mLxo4dW+daJ0+e1B/+8AfFx8dr0KBBevzxxw3j3t7eio2NdWv+AAAAABqnS5cuLjtE1dxOsaYpU6YoMDDQENuwYYMqKioadP3z58/r448/dtqKfc6cOYqKimrQWs2hY8eOGj9+vCF25swZHThwwGluUFCQ+vbta4i5mgegcWp23QoICHDarhQAAAAAcG28PJ0AAABtXUlJif74xz/q+eefV2lpqcs5S5Ys0e9//3t169ZNkvTII48oPT1dH3/8sZYtW+bosOVKSkqKUlJSDLH+/fvL29vbfS8CAAAArZrdbtfJkyd17tw5lZaWqqysTGazWZ07d1aXLl3UuXNneXnxNlFTmjJlilJTUw33BOvXr9dDDz1k6DJ1JX9/f02fPl0rVqxwxPLy8vTee+/p1ltvVVBQUJ3XPHPmjLZu3eqySGzUqFEaMmRI415MMxg/frySkpIM3Yo3bdqk2NhYBQQEGOYmJCQYOpKdP39eFy9eVOfOnZstX6CtOnv2rOG4e/fuLWabVQAAAABoK3hXDgCAJmKz2fTZZ5/pySefVHp6uss5Q4YM0Z///GdNnDjRaaxHjx766U9/qp/+9KdKTU3VRx99pGXLlun48eNXvTZbJgIAAECSqqqqlJSUpF27dik7O7vWeWazWVFRUerSpYtiY2PVu3dvPpx3s4CAAE2ZMkVr1651xLKzs7Vz506X9wPVBg8erAMHDhjuKc6ePavXXntNCxcuVFRUlLy9vWUymVRYWKiMjAxlZGQoPT1dp0+fdrlm9+7dNX36dLe9tqbg7e2tmTNn6oMPPnDESkpKtGnTJs2dO9cwt0+fPgoJCVFBQYEjduDAAc2cObPZ8gXaqprFW9ddd52HMgEAAACAtoviLQAAmoDVatWDDz6oN954w+V4eHi4nn32Wd1///21PmV/pQEDBujpp5/Wr371KyUmJuqjjz7SRx99pHPnzrmcHx8ff035AwAAoPWpqqpSRUWFysvLVVFRoWPHjunbb79VUVHRVc+12WyOop99+/apY8eOGjFihOLj4+Xn59cM2bcPCQkJSkxM1IULFxyxrVu3ql+/frVuX2gymTRnzhy9+uqrKi8vd8Tz8/Md9xteXl7y9vautdPvlSIiIrRo0aJ63Yd4Wt++fTVgwAClpqY6YomJiYqPj1dMTIwjZjabFR8fr23btjlihw4d0tSpU+lIDFyD/Px8ZWVlGWLdu3f3UDYAAAAA0HZRvAUAQBN4//33XRZumc1mPfTQQ3r66acVHh7e4HVNJpOGDRumYcOG6bnnntPOnTu1bNkyLV++3NFJoUOHDrrrrruu+TUAAACg5aqsrNS+fft06NAh5efnq6KiQlar1W3rX758WRs2bNBXX32lIUOGKC4uTkFBQfLz85Ovr2+rKPxpicxms2bPnq3XXntNdrtd0ncPfqxatUr33XdfrV/Xjh076p577tFHH32kvLw8p/GqqipVVVXVee3AwECNHTtWI0aMkI+PzzW/luYyY8YMnThxQhUVFY7Y559/rgceeMDw9Ro6dKiheKusrExHjhzR4MGDmzVfoC25cjtSSfLz82M7UgAAAABoAhRvAQDgZuXl5XrmmWec4hMnTtQLL7zgtq5YZrNZEyZM0IQJE/TCCy9o69atOn/+vGbMmKFOnTq55RoAAABoWSoqKrR3717t2rVLxcXFDT6/U6dO6tKli/z9/VVSUqKMjAxlZWU5Colqu97evXsNcW9vb/n6+jbqNVxNbbk01/meyCEjI0M7duzQ9ddfX+uczp076/7779fHH3+sM2fO1HvtkJAQjRs3TgkJCa2yC1VISIgmTZqkL774whG7dOmSvv32W40dO9YRCwsLU8+ePXXq1ClHLDExkeIt4BocOXLEcNyvXz+KdwEAAACgCVC8BQCAm7366qs6efKkIfbiiy/qoYcekslkapJrent7a+rUqU2yNgAAADzj2LFj2rBhgwoLC+Xv7y9/f38VFhaqpKSkwWv17NlTY8eOVe/evZ1+Ji0vL1dGRobOnz+vpKQkZWZmXnW9yspKVVZWNjgP1G7btm0aNWpUndtUBgYG6u6779aWLVu0b98+lZWVOc3x8fFRdHS0oqOj1bVrV8XGxsrLq3W/BThq1CgdPHhQly5dcsS+/vprDRw4UKGhoY5YQkKCoXgrPT1dOTk5jep6DLR3JSUlToWisbGxHsoGAAAAANq21v3ODQAALUxxcbF+97vfGWJjxoxp0sItAAAAtD12u10rV650FGpVVlaqoKCg3uebTCb5+/urd+/eGjNmjKKjo2ud6+vrqx49eqhHjx4aN26cTp8+rT179igtLU02m+2aXwvqx2q1Ki8v76pbklksFk2dOlVTpkxRWVmZSktLVVJSovLycoWGhqpjx45t7t6jervJK7emr6io0KZNm7Rw4UJHrH///vL391dpaakjduDAAU2ZMqVZ8wXagqNHjxr+DfD29lafPn08mBEAAAAAtF0UbwEA4EYvvviiMjIyDLHf/OY3be7DEwAAADSt4uLienXY6tOnj0aMGKGgoCD5+vrKx8dHvr6+8vb2btTPoCaTyVHIlZ+fr/379ys5OVkFBQWyWq2NeSmop5iYmAZtf15doOfv798uOkt1795dCQkJSkxMdMRSU1NVXl7u2MLTy8tLQ4YM0e7dux1zDh48qEmTJslsNjd7zkBrVnPLxF69erXKrVcBAAAAoDWgeAsAADfJzc3VH//4R0Ns+vTpuuGGGzyUEQAAAForu91e53i/fv00ceJEde3atclyCA0N1eTJkzV58mTZ7XZVVVWprKzM8aspt0281ocf3PHwRFPlYLfbZbVaZbVaVVVVpaqqKgUEBOi6666jwOgqpk6dqkOHDjkKCa1Wq9LS0jRkyBDHnKFDhxqKtwoLC3Xq1Cn17t272fMFWquKigqdPHnSEOvfv7+HsgEAAACAto/iLQAA3OT/+//+P+Xm5hpiv/nNbzyUDQAAANqa2bNny2KxqFu3boqMjGzWa5tMJnl7e8vb21vBwcHNem2gWkBAgHr16qVjx445YqmpqYbiraioKEVHRxs6ImdlZVG8BTTA8ePHVVVV5Tg2m83q16+fBzMCAAAAgLaNx/kAAHCDjIwMvfjii4bYwoULNWzYMA9lBAAAgNbMVeetuLg4JSQkNHvhFtCSDBgwwHB84sQJlZeXG2I1t5GszxakAP4jLS3NcBwTEyN/f38PZQMAAAAAbR/FWwAAuMHvfvc7wwcCZrNZzzzzjOcSAgAAQKt2tW0TgfYqNjbWsL1kVVWVjh49apgTEBBgOC4uLm6W3IC2wGq1GrrbSc5FkwAAAAAA96J4CwCAa5Sfn69XXnnFELv++usVGxvroYwAAADQ2rkq3jKZTB7IBGhZ/P391bNnT0MsNTXVcBwYGGg4pngLqL+kpCSVlZUZYry/AQAAAABNy8vTCQAA0NplZGSosrLSENuyZYtuu+02vfzyywoLC/NQZgBQN0tehlvWsb70rFvWsTz2K7esYw+JcMs6VR2i3bJOW2YdNtPTKQDtCsVbwHcGDhyoEydOOI5Pnjwpu93u+B6p2XmrtLS0WfMDWquUlBStWbPGEOvatatCQkI8lBHgPtYWdn/nrvtxd/I6k+SWdapiBrtlHQAAgPaEzlsAAFyjvn37atq0aU7xzz77TCNGjNCOHTs8kBUAAABaMzpvAbXr1q2b4biiosLwPVOzeCszM5PuW8BVpKSk6NNPP5XNZjPEhw0b5qGMAAAAAKD9oHgLAIBrZLFYtGrVKv3gBz9wGjt79qymTp2q3/72t7JarR7IDgAAAK2Rq+ItAN8xm53f0rzye6Zz586GsfLycn3xxRdNnhfQWh0+fNhl4dbw4cM1dOhQzyQFAAAAAO0IxVsAALiBv7+//va3v+mzzz5TeHi4Ycxms+nZZ5/VjTfeqHPnznkoQwAAALR2dN4CvuOqeOvKopPw8HANHDjQMJ6UlKT09PSmTg1odZKTk/XZZ585FW6NGDFCs2fP5t8eAAAAAGgGFG8BAOBG8+fP18GDB3XDDTc4jW3btk0jRozQypUrPZAZAAAAWhO2TQRq5+p7oeb3zIwZM+Tn52eIHTp0qEnzAlqb5ORkrVixwmXh1qxZs/h3BwAAAACaCcVbAAC4Wbdu3bRx40Y9++yzslgshrGcnBzdeuuteuyxx1RRUeGhDAEAANDSsW0iULv6FG8FBwdr/Pjxhhidt4D/SExMdNlxa+TIkRRuAQAAAEAzo3gLAIAm4OXlpf/93//Vli1bdN111zmN/+tf/9J///d/eyAzAAAAtFZ8kA58pz7FW5LUp08fw3FeXp5yc3ObLC+gNaioqNDKlSu1evVqp++bkSNHaubMmfx7AwAAAADNjOItAACa0IQJE5SYmKhbbrnFaeyf//ynMjMzPZAVAAAAWjq2TQRqV9/irU6dOikgIMAQo/sW2rPMzEy99tprOnjwoNPYqFGjKNwCAAAAAA+heAsAgCYWFhamZcuW6ZVXXpG3t7cjXlFRoddff92DmQEAAKClYttEoHb1Ld4ymUzq0aOHIUbxFtqrAwcO6LXXXlNWVpbT2JgxYzRjxgwKtwAAAADAQyjeAgCgGZjNZj344IO67bbbDPF///vfqqqq8lBWAAAAaKnovAXUrr7FW5LUs2dPw3F6ejrFkWhXKioqtGLFCq1atUqVlZWGMV9fXy1cuFA33ngj/8YAAAAAgAd5eToBAADakx/84Ad65513HMdnz57Vp59+qsWLF3swKwAAALR0fKgO/EdDireuu+46w3FhYaEuX76siIiIJskNaCoFBQU6deqUbDab/Pz8FBAQIH9/f/n7+8vX11dlZWUqKSlRcXGxiouLVVpaquLiYh05ckTZ2dlO63Xu3FmLFi1Sx44dPfBqAAAAAABXongLAIBmNHr0aI0cOVJ79uxxxJ555hkNHTpU/fr182BmAAAAaElqFqJQvAX8h6vvB5vN5nJux44dFRwcrMLCQkfsxIkTFG+h1SgpKdH27du1Z88eWa1Wt6w5YsQI3XjjjfLy4uMBAAAAAGgJ2DYRAIBm9sgjjxiOT5w4oXfffVdr16512xuxAAAAaN3Y1g2ondns/JZmbd8zJpNJPXr0MMT27NlTa7EX0JLs379fL730kr755hu3vF/g6+urRYsWafbs2RRuAQAAAEALQvEWAADNbOHChYZju92uzMxM7du3T++9955KSko8lBkAAABaKjpvAf/RkG0TJSk+Pt5wnJOTo9TUVLfnBbjT7t27tWbNGpWXl7tlvejoaD344IMaNGiQW9YDAAAAALgPj9cAANDMQkJC1K9fPx09etQRu3Dhgrp06aL09HS99tprWrJkiTp16uTBLAEAAOBJbJsI1K6hxVs9e/ZUdHS0MjIyHLGdO3dq4MCBfG+hRUpMTNSGDRuc4haLRZ06dVJZWZlKS0tVVlZmGDeZTAoICFBgYKACAgIc/9+1a1cNHDiQblsAAAAA0EJxtwYAgAeMHDnSqXirWm5url5//XUtXLhQ/fr180R6AAAA8DCKt4DaNbR4y2Qyady4cVq+fLkjlpGRoVOnTqlXr15NkiPQWElJSVqzZo1TPC4uTpMnT1ZYWJgjZrPZVFpaqvLycvn5+cnPz8/ltqIAAAAAgJaNOzkAADxg5MiRhuNLly4ZjisqKrRs2TLt3Lmzzg8hAAAA0DbxMyDQMFf7nhkwYIDCw8MNsR07djRlSkCDpaWlaeXKlU5/nqdOnaqFCxcaCrckyWw2KzAwUOHh4QoICKBwCwAAAABaKe7mAABoBjabTV9//bUeeeQR/ehHP1KPHj0M45mZmYqIiDDE7Ha7Nm7cqJUrV6qqqqoZswUAAEBLQ+ct4D+sVqtT7GrbwZnNZo0bN84QO3XqlKELMuBJR44c0SeffCKbzWaIT5w4UePHj/dQVgAAAACA5sC2iQAANLG0tDTdf//9hqe6v/nmG1ksFseHDna7XYMGDVJOTo6SkpIM5x86dEiSdPPNN/OhHQC3su9e55Z1Ki/mumUdi1tWAa6dJS/DLetYO0S7ZR20T2ybCNTO1cMtFsvVf5IYMmSItmzZoqKiIkfsm2++0cKFC92aH9BQiYmJWrNmjdPf/aNHj9akSZM8kxSAJmUqyHbLOvaQiKtPqifuXwAAADyHzlsAADShdevWafTo0U7bcezZs0cDBw40xA4ePKj58+drypQpTuscOnRIBw8ebNJcAQAA0HKwbSJQu8Z03qqeU3ML+4sXL7otL6Ch7Ha7duzYodWrVzv9vZ+QkKAbb7yR4l0AAAAAaAco3gIAoAnYbDY9//zzmjt3rvLz853G/f39NWLECENs7969MplMmjBhghYvXiwfHx/D+Oeff67sbPc8lQcAAIDWhQ/vgf9obOctSfL29jYc+/n5uSUnoKHsdru+/PJLbdq0yWls2LBhmjNnDn/3AwAAAEA7QfEWAABuVlJSorvuuku/+MUvZLPZXM6JiopyeuJ73759jv/v37+/5s6daxivrKzU8uXLVVlZ6f6kAQAA0KKwbSJQO1fFW/XpvCXJ6YGYjh07uiUnoCGsVqtWrFihb775xmls4sSJmjNnjsxm3roHAAAAgPaCO0AAANzIZrNp3rx5+uCDD+qcFxkZ6VS8dezYMUOXrkGDBmnYsGGGOZcuXdKXX37pvoQBAADQIrFtIlC7mtsmWiyWehc41izeioyMdFteQH0UFRXpww8/VFJSktPYjBkzNHnyZAp2AQAAAKCdoXgLAAA3stvt+uEPf2iImUwm+fr6GmJRUVEKDQ11Ov/QoUOG4xkzZqhTp06G2N69e7V+/XoVFha6KWsAAAC0dHyQD/xHzc5b9d0y0W63KysryxCj8xaai91u1/79+/WPf/xDJ06cMIyZzWbNnz9fo0eP9lB2AAAAAABPql8/cQAAUC9Wq1U5OTmG2EcffaRNmzbp5ZdfdsTCw8O1ePFip/MDAgIMx97e3lq0aJFeffVVw3aJ3377rfbv36/hw4dr3LhxCg4OdvMrAQAAgCexbSJQu5qdt+q7ZaIklZWVGY5rPmgDNFZlZaUuXboku90ub29v+fj4yMfHR97e3iooKNC6det0+vRpp/O8vb11yy23qG/fvh7IGgAAAADQElC8BQCAG61evVr33nuvIfbGG2/o4MGDhti3336r1NRUQ2zOnDlO2yRK323jMXPmTK1evdoQr6qq0u7du7Vv3z4NGzZM48ePp4gLAACgjaB4C6hdYztvmUwmRUREGLpvnTp1Sj169HBnemhnsrKytG/fPh06dMipOPBqAgICtGTJEnXv3r2JsgMAAAAAtAYUbwEA4EY333yzhgwZYtj+cN26dU7zahZu9evXT2+++WatH8oNHTpURUVF+vrrr2Wz2QxjVVVVjk5cw4YN07hx4xQSEuKGVwMAAABPqVm8BeA/rqXzVt++fQ3FW8ePH9fkyZPdlhvah6qqKqWmpmr//v0uu2nVR1xcnGbMmKHAwEA3ZwcAAAAAaG0o3gIAwI28vLz0hz/8QbNnz673OSEhIVq+fLlCQ0NrnWMymTRx4kTFxcVpx44dOnDgQJ1FXAkJCRo/fjxFXAAAAG0EnbeA/6jZeau+xVt2u13h4eHKyMhQQUGB+vTpo7Nnz6qgoIB7J9RLYWGhdu/erQMHDqikpKRRa3To0EGzZ89Wnz593JwdAAAAAKC1ongLAAA3mzFjhmbNmqXPP//8qnNNJpPeeecdxcbG1mvtsLAw3XTTTZowYYK2b99eaxHXnj17DEVcdRWGAQAAoOVh20SgdvXdNtFqterixYs6e/asTp8+rbNnz6q4uFgnT55UVVWVIiIidO7cOb377rv63ve+16AOXmhfSkpKtHPnTn377bdOf/6uZDKZ5O3trcrKSqe/x728vDRq1Chdf/318vHxaeqUAQAAAACtCO9IAADgZmazWcuWLdNTTz2lXbt2qbCwUBcuXFBRUZHT3GeffVazZs1q8DU6dOjgKOKq7sRVc+sQq9WqvXv3KjExUePHj9f1118vs9nc6NcFAACA5kPxFlC7mg+wVN8LVVRU6Ny5c45irfPnz6uystIw12QyqXPnzrLZbKqqqtLgwYOVnZ2t999/X0uWLJGvr2+zvQ60fOXl5dq9e7d27dql8vLyWucFBgYqISFBCQkJCgsLk91uV1VVlSorK1VRUaHKykqFhYVRIAgAAAAAcIm7RQAA3Cg7O1tr1qzRqlWr9MUXX6i4uLjWubfeeqt+9rOfXdP1OnTooDlz5jiKuBITE10WcW3dulVnz57VwoULFRgYeE3XBAAAAABP8vb2NhxnZWXpj3/8o8rLy50Ku1zp3bu30tLSdOnSJUVFRUmS0tPT9dZbb+n2229XcHBwk+SN1qOqqkr79u3T9u3b67yv79Gjh4YPH67+/fsbOsBVd+Dy9vZWQEBAc6QMAAAAAGjFKN4CAOAanThxQitWrNCqVau0Y8cOp+IpVxISEvTKK6+4rYNCaGioZs+erfHjx9daxHXq1Cm98sorWrRokWJiYtxyXQAAADQNOm8BtevVq5dja7pqpaWl9T4/ODhY48aNU1pamiF+8eJFvfHGG7rjjjsUERHhtnzRethsNh08eFBbt25Vfn6+yzlms1kJCQkaPXo0f04AAAAAAG5B8RYAAA1UvR3hypUrtWrVKh0+fLje5/bv31+33nqrnnjiiSZ5+ra6iKu6E9e+ffsMT54XFhbq7bff1rRp0zR69Gg+BAQAAGihKN4CahcQEKChQ4dqz5499ZofGRmp7t27q3v37oqJiVGHDh1kMpmUkZGh999/39BZKS8vT2+++aZuu+02devWraleAlqgs2fPas2aNcrKynI5bjKZNGjQIE2aNEnh4eHNnB0AAAAAoC2jeAsAgHooKyvT5s2btWrVKq1evVoXLlyo13kmk0njxo3T3LlzNXfuXPXt27eJM/1OSEiIZs2apUGDBunTTz9VQUGBY8xms+mLL77QmTNnNG/ePPn5+TVLTgAAAKi/msVbAIxuuOEGnTt3ThkZGYa42WxWly5dHMVa3bt3r3Xr+OjoaN177716//33lZOT44iXlJTonXfe0S233NJs93DwnIqKCn311Vf69ttva/27t1+/fpo8ebJjm00AAAAAANyJ4i0AAGqRk5OjtWvXatWqVdqwYYMKCwvrdZ6/v7+mTZumefPmafbs2YqMjGziTGsXExOjBx98UJ9++qlOnTplGDty5IgyMzN1yy23qHPnzh7KEAAAAPVB5y3AKCAgQA888IBOnDih8+fPy2w2q1u3burWrZu8vb3rvU54eLjuvfdeffDBB4aHdCorK7Vs2TLddNNNGjp0aBO8ArQEJ0+e1Nq1a5Wbm+tyvEePHpo8ebK6d+/ezJkBAAAAANoTircAAPh/bDabTpw4oXXr1mnVqlXaunWrqqqq6nVuZGSk5syZo7lz52rq1KlNsiViYwUGBurOO+/U1q1btW3bNsOTxDk5OXr99dc1a9YsJSQkeDBLAAAAXIltE4GrM5lM6tOnj/r06XNN6wQGBuq//uu/9PHHH+vEiROOuM1m06pVq1RUVKTx48fzfdiGlJWV6csvv1RiYqLL8c6dO2vq1Knq1asXv+8AAAAAgCZH8RYAoF0qLy9XSkqKEhMTdfDgQSUmJurQoUPKz8+v9xp9+/bV3LlzNW/ePI0ePVoWi6UJM742ZrNZkyZNUrdu3fTZZ5+ptLTUMVZVVaXVq1fr7NmzmjVrVoOeUgdQf5a8jKtPambu2pDL567b3bKOPSTCLetYO0S7ZR20X/wZQktA8RbQvHx8fHTbbbdp9erVOnTokGFs8+bNKiws1IwZM2Q2mz2UIdyloqJC77zzjtOWm5Lk5eWlSZMmacyYMfxeA2hS7rr/1cmD7llHkqWXe9YxFWS7ZZ2qmMFuWQcAAKA1oHgLANDm5ebm6sCBA4ZfqampqqysbNA6JpNJo0aN0rx58zR37lz179+/iTJuOn369NH3vvc9LV++XOfOnTOMHThwQBkZGbrlllvUsWNHD2UIAAAAybl4S/quU8z58+dlt9vl7e0tb29vhYaGKjAw0AMZAm2PxWLRzTffrKCgIO3cudMwtmfPHhUVFWnBggXy8uIt1dbKbrdr3bp1Lgu3YmJiNHfuXO6HAQAAAADNjncaAABths1m09mzZ5WYmKgDBw7o4MGDOnDggNLT0xu9pq+vr6ZOnaq5c+dqzpw56ty5s/sS9pDQ0FDdc889+vLLL/Xtt98axi5duqRXX31Vc+fO1cCBAz2UIQAAAGrKzc3Vn/70J1mtVqexfv36adKkSQoJCdHly5eVk5OjnJwcx/8XFhYqKChIYWFhCg8PV3h4uDp06KAOHTooJCSk3oUoxcXFys3NVadOneTj4+Pulwi0CCaTSdOmTVNwcLA2bNhgGEtNTVVpaakWL14sPz8/D2WIa1HddftKPj4+mjp1qkaMGEGXQwAAAACAR1C8BQBo9SoqKvTSSy/phRde0IULF655vcjISM2YMUNz587V9OnTFRQU5IYsWxaLxaKZM2eqe/fuWr16tSoqKhxj5eXl+uSTTzRmzBhNnTq1RW8HCQAA0FbV7Lzlqmir2tGjR3X06NE61ysuLtalS5ec4iaTSX5+fjKbzbJYLPLz81P//v01fvx4x3baBQUF2rZtmxITE2Wz2WSxWNS9e3f17t1bffv2VadOnRrxCoGWbfTo0QoMDNTKlSsN33/p6el66623dPvttyskJMSDGaKhLly4oM8//9wQ8/X11X333afIyEgPZQUAAAAAAMVbAIBWbsuWLXr00Ud1+PDhRp3fq1cvDRkyRPHx8YqPj9fQoUPVtWvXdvO07aBBgxQVFaVPPvlEmZmZhrFvvvlG586d05w5cxQVFeWhDAEAANonV9smNtV1SktLHccFBQXKzMzU4cOH1a9fPxUUFCgtLU1VVVWOOVarVenp6UpPT9emTZs0ePBgzZgxQwEBAc2SM9Bc4uLiFBgYqI8++kjl5eWO+KVLl/TGG2/ojjvuoOinlSgtLdXy5cudCmHnzp3L7yEAAAAAwOMo3gIAtEoZGRl68skn9f7779drvre3twYOHKihQ4c6CrWGDBmi0NDQJs605YuIiNB9992ndevWOW0fce7cOf373//WiBEjNGnSJLYGAQAAaCYdOnRwGbdYLAoMDFRlZaXKy8tls9ma5PqXL1/Wrl276jU3KSlJp06d0qxZszRgwIAmyQfwlJ49e+qee+7R+++/r6KiIkc8Pz9fb775pm677TZ1797dgxniaux2u1auXKnc3FxDfMyYMRo4cKCHsgIAAAAA4D8o3gIAtCqVlZX629/+pmeeeUYFBQUu54SGhjoKtKp/DRgwQD4+Ps2cbevh4+Ojm2++WTExMfr8888NTyPbbDZ9++23Sk5O1tSpUzV06NB205kMAADAU7p166bY2FilpaXJZDKpR48eiouL04ABAxwF9eXl5dqzZ4927drl6J5lNpsVHh6u8PBwdezYUeHh4QoODlZxcbFycnKUk5Oj3Nxc5eXlqayszG35FhUV6eOPP9agQYM0d+5cfvZGm9K5c2fde++9ev/993X58mVHvLS0VO+++64WLlyo2NhYD2aIunz99ddOW8t2795dU6dO9VBGAAAAAAAYUbwFAGg1tm7dqh/84AdKTk52OR4fH68///nPGj9+PMVFjWAymTRs2DBFR0frk08+cXoquaSkRKtXr9b+/fs1Y8YMdevWzUOZAgAAtH0mk0mLFy9Wfn6+fH195e/v7zTH19dXEyZM0JgxY3T58mV5e3urQ4cOMpvN9bpGWVmZ8vLyVF5eLqvVqsrKSm3fvl3nz593mms2m5WQkKDRo0fr8uXLOnnypJKSkpwKwA4fPiyr1apbb72Vn8nRpoSFhWnp0qX68MMPDd8jlZWV+uijj3TTTTcpISHBgxmiJrvdrq+++krbt283xAMDA7Vo0SJZLBYPZQYAAAAAgBHFWwAAj8nNzVVubq7CwsIUEhJS6xunFy9e1E9/+lO9++67LsdDQ0P161//Wt/73vfk5cU/bdcqOjpaDz/8sHbs2KGdO3eqqqrKMH7+/Hm9/vrrGjp0qKZMmaKgoCAPZQoAANC2mUymWrdPvJKXl5eioqIavL6fn586d+5siPXt21d79uzRyZMn5evrq6CgIIWGhqpfv34KCwuT9N2227GxsZowYYLWrl3r1NHmyJEjOnz4sOLi4hqcE9CSBQYG6u6779Ynn3yi48ePO+J2u12rV69WYWGhJk6c2G4LF0tKSnT58mXl5OTIx8dHPXv2dHQKbG52u10bNmzQt99+a4ibTCYtWLBAISEhHskLAAAAAABX+IQbANDsbDabnn32Wf3mN7+RzWaT9N2T/B06dFBYWJjjv+Hh4QoMDNTy5ctr3SLx7rvv1nPPPdeoD6tQO29vb02aNEnx8fH64osvlJaW5jTnwIEDSk1N1Q033KCRI0fy1DIAAEAbYDabNXr0aI0ePfqqc4ODg7VkyRIlJSVp/fr1hi5c69evV8+ePRUYGNiU6QLNzsfHR0uWLNGaNWt08OBBw9iWLVtUWFioWbNm1bsDXmtXWVmpQ4cOac+ePcrMzDSMWSwW9e3bV0OHDlXfvn2brajNZrNp7dq1SkxMdBqbNWuWevXq1Sx5AAAAAABQXxRvAQCa3bPPPqtf//rXhpjNZlNOTo5ycnLqtcbgwYP14osvavz48U2RIv6fsLAwLVmyRCdOnNCGDRuUnZ1tGC8vL9cXX3yhb7/9VuPHj1d8fDzdzwAAANoRk8mkIUOGyGKxaPny5Y54SUmJ1q9fr0WLFnkwO6BpWCwWzZs3TyEhIdq2bZthbN++fSoqKtLChQvl7e3toQybXn5+vvbu3av9+/ertLTU5Ryr1aojR47oyJEjiomJ0fTp09W1a9cmzctms2nFihVKTk42xE0mE1tbAgAAAABarPbxCBgAoMX405/+5FS41RAhISF64YUXtHv3bgq3mlHv3r310EMPafr06fLx8XEaz8vL09q1a/XSSy9p9+7dqqys9ECWAAAA8JSBAweqf//+htjhw4d1+vRpD2UENC2TyaTJkydr1qxZTh2l0tLS9N5779Va1NSanTt3TsuXL9dLL72kHTt21Ps1njlzRq+99po+/fRT5efnN0luVVVV+uSTT5wKt8xms+bPn0/hFgAAAACgxaJ4CwDQbP71r3/pySefbPT5d955p5KTk/Xoo4/S3ckDLBaLxo4dqx/84AcaMmSIyzmFhYXasGGDXnzxRe3YsUPl5eXNnCUAAAA8wWQyafbs2fL39zfEd+zY4aGMgOYxcuRILVq0yGkb+TNnzujNN99sskKl5nb58mW9/fbbev3113X48GHZbDaX88xms8LDw52+HtWSk5P197//XZs3b3br/WJ5ebk++ugjHTlyxBC3WCy65ZZbNHjwYLddCwAAAAAAd+OTbwBAk6uoqNCf//xn/fKXv3Qa+8tf/qKbbrpJubm5ysvLU25uruFXXl6egoKCNH/+fI0ePdoD2aOm4OBgzZ8/X8OHD9fGjRt19uxZpznFxcXatGmTdu7cqdGjR2vUqFHy8/PzQLYAAABoLkFBQbrhhhu0fv16R+z48eO6ePGiOnfu7MHMgKY1cOBABQQE6KOPPlJZWZkjnpWVpTfeeEN33HGHOnXq5MEMG89ms+mbb77Rli1bVFVVVeu8Pn36aPTo0erZs6fMZrNKS0uVmpqqHTt2KDc31zC3qqpK27dv19GjR/Vf//VfCggIuKYcT5w4oTVr1jgVynl5eWnx4sXq06fPNa0PAAAAAEBTo3gLANCk1q5dqyeeeEJpaWlOY7///e/1yCOPSJJiYmKaOzVco+7du2vp0qVKT0/Xtm3blJ6e7jSntLRUW7Zs0a5duzRy5EiNHj1agYGBzZ8sAAAAmkVCQoK2bt2qkpISR2zHjh1atGiRB7MCml6PHj10zz336P3331dhYaEjXlBQoDfffFNLlizRdddd58EMG+7ixYtavXq1MjIyXI57e3srPj5eo0aNUkREhGHM399fw4YN05AhQ7Rnzx5t27bNUNgmSZmZmdqyZYtmz57dqPxKS0v1xRdf6ODBg05jPj4+uu2229SjR49GrQ0AAAAAQHOieAsA0CRSU1P1+OOPG566v9JTTz2lJ554opmzgruZTCb17NlTPXv21JkzZ7Rt2zadOHHCaV55ebm2b9+unTt3qlevXho8eLBiY2Pl4+PjgawBAADQVLy9vTV69Gh99dVXjlhKSoquv/56RUZGejAzoOlFRUXpvvvu03vvvafs7GxHvKysTO+9954WLFigAQMGeDDD+qmqqtLWrVu1c+dOl9sjhoSEaNSoUUpISHDaKrUmLy8vjR07VvHx8fr666+1b98+w5qJiYkaN26cOnTo0KAcU1NT9fnnn6uoqMhpzM/PT3fccYe6devWoDUBAAAAAPAUs6cTAAC0Lbm5ufrRj36kIUOG1Fq49bOf/UxPP/10M2eGphYTE6M777xTDzzwgGJjY13OsdlsOn78uD777DP96U9/0qeffqqjR4/KarU2c7YAAABoKiNGjDAU6dvtdn344YcuiyyAtiY0NFRLly5V9+7dDfGqqip98skn2rdvn4cyq58zZ87olVde0fbt250Kt0wmk0aPHq1HHnlE48aNu2rh1pUCAgI0a9YsPfjgg/Ly+s/zxFarVV9//XW91ykuLtYnn3yijz/+2OXfKT169NCDDz5I4RYAAAAAoFWh8xYA4JqVlZUpOTlZW7Zs0fPPP294wvhKw4cP1wsvvKCxY8c2c4ZoTl26dNGSJUt06dIlbdu2TampqbLb7U7zKisrlZycrOTkZAUEBGjgwIGKi4tT9+7dZTKZPJA5AAAA3MHf318jRozQzp07HbHc3Fx9+OGHuvvuu+Xr6+vB7ICmFxAQoLvuukvLly/X0aNHHXG73a61a9eqsLBQN9xwQ4u676msrNTGjRu1Z88el+ORkZG66aabnIrSGioqKkrDhw/X7t27HbFDhw5p/PjxTlsv1pSRkaH33nvPsC1rNV9fX02fPl0JCQkt6usKAAAAAEB9ULwFAGiQwsJCHThwQPv379f+/ft14MABpaSkqKqqqtZzOnfurN/+9re66667ZDbT9LG9iIqK0i233KLs7Gzt2LFDKSkpqqysdDm3pKREe/fu1d69e9WhQwfFxcUpLi5OnTp1auasAQAA4A7XX3+9Tp06pYyMDEfswoUL2rZtm6ZNm+bBzIDm4e3trcWLF2vt2rVKTEw0jG3dulWFhYWaM2dOi7hHzs7O1ieffKLMzEynMbPZrAkTJmjChAmGjlnXYsKECUpMTFRFRYWk74ratmzZoltuuaXWc6qqqvTpp5+6LNzq27ev5syZo5CQELfkBwAAAABAc6N4CwBwVTt27NDf//537du3T8eOHXPZRckVHx8f/ehHP9IvfvELBQcHN3GWaKkiIiJ08803a+bMmTpy5IiSk5N16tQppy04quXl5Wn79u3avn27oqKiFBcXp0GDBsnHx0eFhYUqKipSYWGhiouLHcdFRUUqKytT586dNWvWLLo5eIjXmSRPp2BgD6n7yf1md/Kg25ayJ7vuiNBgUV3csox5wCi3rFPVIdot6wAAPM/Hx0e333673njjDeXm5jriFy5c8GBWQPMym8266aabFBwcrK1btxrGEhMTVVRUpFtuuUXe3t4eylBKSkrS2rVrHYVUV+ratatuuukmRUVFufWagYGBGjVqlLZv3+6IpaSk6OLFi+rcubPLc3bv3q3Lly8bYv7+/poxY4YGDx5Mty0ArY7VTfe/XhGud0BoDLub3rew94p3yzqWvAzX8QL3vWYAAICWguItAECd/va3v+mxxx5r8Hk333yznn/+efXq1asJskJr5Ovrq/j4eMXHx6uoqEgpKSlKTk7WuXPnaj3n0qVLunTpkjZt2lSva2RmZqq8vFxLlixxV9oAAABopKCgII0YMUJffvmlI2axWDyYEdD8TCaTJk2apODgYK1bt87wMNSxY8f0zjvvaPHixQoKCmrWvKqqqrRhwwbt27fPaczb21uTJ0/WqFGjmqwz2NixY7V3716VlZU5YikpKS6LtwoKCrRt2zZDLDo6Wrfffnuzf90AAAAAAGgKFG8BAGr1+9//Xk899VS95/fp00fDhw/X/fffr0mTJjVdYmj1goKCNGrUKI0aNUo5OTk6fPiwkpKSlJ197U/OpaWl6cyZM4qJiXFDpgAAALgWNbdXp3gL7dXw4cMVEBCgzz77zPB9ce7cOb388suaOXOmBg0a1OQdpKqqqnT06FFt375dFy9edBqPiorSokWLFBHR9F1sa/79EBAQ4HLel19+aegMZjKZNGfOHAq3AAAAAABtBsVbAAAnNptN//u//6vnnnvO5bjFYtGAAQOUkJCghIQEDR06VEOGDFFISEgzZ4q2IDw8XBMnTtSECRN08eJFJScnKzk5WYWFhY1ec/PmzbrnnnvYOgMAAMDDahZneHnxVhTarwEDBigwMFAffvihoeNUSUmJPv30U6WkpGj27NlNUpR06dIlHThwQElJSSopKXE5JyEhQTNnzmyWbRwPHjxo+PvBbDYrLi7OaV56eroOHz7slGeXLu7Z/hsAAAAAgJaAd8wAAE6eeuopPf/8807xxx9/XLfccovi4uLk5+fngczQlplMJkVHRys6OlpTp07V6dOnlZycrNTUVMMHGwEBAQoODlZgYKCCg4MVHBysoqIiHThwwDHnzJkzOnr0qGJjYz3wSgAAAFDNarUajineQnsXExOjpUuX6v3331dBQYFh7MiRIzp9+rRmzJihwYMHN+phlNLSUmVmZio7O1uZmZnKyspSVlaWiouLaz3H29tbs2fPVnx8fIOv1xh2u91pu8YBAwY4Fa1ZrVatX7/eEPP399eUKVOaPEcAAAAAAJoT75gBAAxOnjzpsnDr//7v//TDH/7QAxmhPTKbzerZs6d69uypWbNmKS8vT97e3goKCnK51U5VVZXS09OVl5fniH399dfq168f3bcAAAA8qGbxFtsmAlKnTp304IMPat26dUpNTTWMlZaWasWKFUpOTtbIkSPVq1cvw/eN1WpVcXGxCgsLHb8uX77sKNIqKipqUC6RkZFatGiROnXq5JbXVh8nT57U5cuXDbERI0Y4zdu2bZsyMzMNscmTJ9e6vSIAAAAAAK0VxVsAAIOsrCyn2N///nc9+OCDHsgG+K47Q0RExFXnTJo0SStWrHDELl68qLNnzyomJqaJMwQAAEBtbDab4dhsNnsoE6BlCQwM1K233qrDhw9r/fr1Tp2xjh8/ruPHj8vPz09dunRRaWmpCgsLVVxcLLvdfs3X79Gjh+Lj4zVo0KBm74hXs+tWp06dnO7bMjIytH37dkOsc+fOGjZsWJPnBwAAAABAc6N4CwBg0KtXL6fYtGnTPJAJ0DBxcXHaunWrcnJyHLE9e/ZQvAUAANAAdrvdrZ1La3beongLMBo0aJB69Oih9evX6/Dhw07jZWVlOnnypFuuFRISovj4eMXHxys8PNwtazZUQUGB0tLSDLERI0YY/t6xWq1atWqVofjTbDZr7ty5/B0CAAAAAGiTKN4CABh07Nh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      "text/plain": [
       "<Figure size 4800x2400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting glacier locations, locations of obs. and precipitation obs\n",
    "# Fig in paper: Fig.1\n",
    "Reds_trans = fp.cmap_trans('Reds')# makes tranparent at lower end\n",
    "Reds_trans_r = fp.cmap_trans('Reds')# makes tranparent in the middle of the spectrum\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8],dpi=300)\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())# the \"projection\" keyword makes the axis aware of Earth geometry\n",
    "ax.add_feature(cartopy.feature.LAND, color='0.98')\n",
    "#ax.add_feature(cartopy.feature.OCEAN, alpha=0.5)\n",
    "ax.add_feature(cartopy.feature.COASTLINE) # overlay continents\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "\n",
    "# colorbar bounds\n",
    "bounds =  np.linspace(0, 300, 19)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "#labeling location\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='darkgray', marker=\"^\", alpha=0.75, label = \"Glaciers\")\n",
    "\n",
    "im = ax.pcolormesh(lon_f, lat_f, grid_data_fires_mean_14_19, cmap=Reds_trans, norm=norm)\n",
    "\n",
    "\n",
    "#labeling location\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"^\", alpha=0.9, label= 'Snow Obs.')\n",
    "ax.scatter(lon_clim, lat_clim, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=250, \n",
    "           c='royalblue', marker=\"*\", label= 'Precip. Obs.')\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "# Create custom legend with the same format as in the previous example\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=3, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "\n",
    "# labels\n",
    "ax.text(-70, -13.7, 'Quelccaya',fontsize=14,fontweight='light', ha='left',va='top',color='k')\n",
    "ax.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')\n",
    "ax.text(-67, -17, 'Illimani',fontsize=14,fontweight='light', ha='left',va='top',color='k')\n",
    "ax.text(-77, -9, 'Yanapaccha',fontsize=14,fontweight='light', ha='left',va='top',color='k')\n",
    "ax.text(-78, -10, 'Shallap',fontsize=14,fontweight='light', ha='right',va='top',color='k')\n",
    "ax.text(-79, -8.6, 'Artesonraju',fontsize=14,fontweight='light', ha='right',va='bottom',color='k')\n",
    "\n",
    "cbar=fig.colorbar(im, orientation='vertical',  label='Mean fire count', pad=0.05);\n",
    "cbar.set_ticks([0,50,100,150,200,250,300])\n",
    "cbar.set_ticklabels([0,50,100,150,200,250,300])\n",
    "\n",
    "plt.title(\"Annual mean number of fires 2014-2019.\",y=1.05, fontsize=22);\n",
    "\n",
    "plt.savefig(\"fire_obs_glaciersloc14_19.pdf\", transparent=True,dpi=300)\n",
    "fig.savefig('../PP1_figs/BCAndes_Figure1.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BC atmopsheric plot for Andes region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def BC_enhancement_func(file_loc, file_loc_noGFED, year):\n",
    "    times_val = np.datetime64(year+\"-01-01\")\n",
    "\n",
    "    atm_AerMass_year=xr.Dataset()\n",
    "    atm_AerMass_year_noGFED=xr.Dataset()\n",
    "    atm_AerMass_year= xr.open_dataset(file_loc)\n",
    "    atm_AerMass_year_noGFED= xr.open_dataset(file_loc_noGFED)\n",
    "    \n",
    "    atm_BC_year=xr.Dataset()\n",
    "    atm_BC_year_mean=xr.Dataset()\n",
    "    atm_BC_year_noGFED=xr.Dataset()\n",
    "    atm_BC_year_noGFED_mean=xr.Dataset()\n",
    "    \n",
    "    atm_BC_year = atm_AerMass_year['AerMassBC'].isel(lev=0)\n",
    "    atm_BC_year_mean = atm_BC_year.mean('time')\n",
    "    atm_BC_year_noGFED = atm_AerMass_year_noGFED['AerMassBC'].isel(lev=0)\n",
    "    atm_BC_year_noGFED_mean = atm_BC_year_noGFED.mean('time')\n",
    "    \n",
    "    atm_BC_year_enhance = xr.Dataset()\n",
    "    atm_BC_year_enhance  = atm_BC_year_mean - atm_BC_year_noGFED_mean\n",
    "    atm_BC_year_enhance.attrs['units']='ugC m-3'\n",
    "    atm_BC_year_enhance = atm_BC_year_enhance.assign_coords(time=times_val).expand_dims('time')\n",
    "    \n",
    "    times_seas = np.datetime64(year+\"-08-01\")\n",
    "    atm_BC_year_enhance_seas = xr.Dataset()\n",
    "    atm_BC_year_seas= atm_BC_year.sel(time=slice(year+'-08-01', year+'-11-30')).mean('time')\n",
    "    atm_BC_year_seas_noGFED= atm_BC_year_noGFED.sel(time=slice(year+'-08-01', year+'-11-30')).mean('time')\n",
    "    atm_BC_year_enhance_seas  = atm_BC_year_seas - atm_BC_year_seas_noGFED\n",
    "    atm_BC_year_enhance_seas.attrs['units']='ugC m-3'   \n",
    "    atm_BC_year_enhance_seas = atm_BC_year_enhance_seas.assign_coords(time=times_seas).expand_dims('time')\n",
    "    \n",
    "    return atm_BC_year_enhance, atm_BC_year_enhance_seas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "def BC_concen_func(file_loc, year):\n",
    "    #BC concentration for year\n",
    "    times_val = np.datetime64(year+\"-01-01\")\n",
    "    atm_AerMass_year=xr.Dataset()\n",
    "    atm_AerMass_year= xr.open_dataset(file_loc)\n",
    "\n",
    "    atm_BC_year=xr.Dataset()\n",
    "    atm_BC_year_mean=xr.Dataset()\n",
    "    \n",
    "    atm_BC_year = atm_AerMass_year['AerMassBC'].isel(lev=0)\n",
    "    atm_BC_year_mean = atm_BC_year.mean('time')\n",
    "    atm_BC_year_mean.attrs['units']='ugC m-3'\n",
    "    atm_BC_year_mean = atm_BC_year_mean.assign_coords(time=times_val).expand_dims('time')\n",
    "    \n",
    "    #BC season concentration\n",
    "    times_seas = np.datetime64(year+\"-08-01\")\n",
    "    atm_AerMass_seas=xr.Dataset()\n",
    "    atm_AerMass_seas= xr.open_dataset(file_loc)\n",
    "\n",
    "    atm_BC_seas=xr.Dataset()\n",
    "    atm_BC_seas_mean=xr.Dataset()\n",
    "    \n",
    "    atm_BC_seas = atm_AerMass_seas['AerMassBC'].isel(lev=0)\n",
    "    atm_BC_seas_mean = atm_BC_seas.sel(time=slice(year+'-08-01', year+'-11-30')).mean('time')\n",
    "    atm_BC_seas_mean.attrs['units']='ugC m-3'\n",
    "    atm_BC_seas_mean = atm_BC_seas_mean.assign_coords(time=times_seas).expand_dims('time')    \n",
    "    \n",
    "    return atm_BC_year_mean, atm_BC_seas_mean\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2014-01-01')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year = '2014'\n",
    "times_val = np.datetime64(year+\"-01-01\")\n",
    "times_val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_AerMass_loc_14 = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2014.nc4'\n",
    "file_AerMass_loc_15 = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2015.nc4'\n",
    "file_AerMass_loc_16 = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2016.nc4'\n",
    "file_AerMass_loc_17 = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2017.nc4'\n",
    "file_AerMass_loc_18 = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2018.nc4'\n",
    "file_AerMass_loc_19 = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2019.nc4'\n",
    "file_AerMass_loc_14_noGFED = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2014_noGFED.nc4'\n",
    "file_AerMass_loc_15_noGFED = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2015_noGFED.nc4'\n",
    "file_AerMass_loc_16_noGFED = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2016_noGFED.nc4'\n",
    "file_AerMass_loc_17_noGFED = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2017_noGFED.nc4'\n",
    "file_AerMass_loc_18_noGFED = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2018_noGFED.nc4'\n",
    "file_AerMass_loc_19_noGFED = '../BC_Andes_files/GEOSChem.AerosolMass_BC.2019_noGFED.nc4'\n"
   ]
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  {
   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;AerMassBC&#x27; (time: 1, lat: 151, lon: 89)&gt;\n",
       "array([[[0.00015407, 0.00015432, 0.000156  , ..., 0.00013934,\n",
       "         0.00013863, 0.00013881],\n",
       "        [0.00015432, 0.00016411, 0.00016586, ..., 0.00014448,\n",
       "         0.00014476, 0.00013869],\n",
       "        [0.00016306, 0.00016359, 0.00016498, ..., 0.00014607,\n",
       "         0.00022332, 0.0001446 ],\n",
       "        ...,\n",
       "        [0.02347759, 0.02723511, 0.0308018 , ..., 0.00500466,\n",
       "         0.0098305 , 0.00450498],\n",
       "        [0.02527243, 0.02991758, 0.02327749, ..., 0.00925707,\n",
       "         0.00927477, 0.00454409],\n",
       "        [0.02495694, 0.03863934, 0.03674207, ..., 0.00437587,\n",
       "         0.00403893, 0.00394898]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "    lev      float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2019-01-01\n",
       "Attributes:\n",
       "    units:    ugC m-3</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AerMassBC'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-016cb525-01e5-49a8-a0f1-5423dcb6295b' class='xr-array-in' type='checkbox' checked><label for='section-016cb525-01e5-49a8-a0f1-5423dcb6295b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0001541 0.0001543 0.000156 0.0001574 ... 0.004376 0.004039 0.003949</span></div><div class='xr-array-data'><pre>array([[[0.00015407, 0.00015432, 0.000156  , ..., 0.00013934,\n",
       "         0.00013863, 0.00013881],\n",
       "        [0.00015432, 0.00016411, 0.00016586, ..., 0.00014448,\n",
       "         0.00014476, 0.00013869],\n",
       "        [0.00016306, 0.00016359, 0.00016498, ..., 0.00014607,\n",
       "         0.00022332, 0.0001446 ],\n",
       "        ...,\n",
       "        [0.02347759, 0.02723511, 0.0308018 , ..., 0.00500466,\n",
       "         0.0098305 , 0.00450498],\n",
       "        [0.02527243, 0.02991758, 0.02327749, ..., 0.00925707,\n",
       "         0.00927477, 0.00454409],\n",
       "        [0.02495694, 0.03863934, 0.03674207, ..., 0.00437587,\n",
       "         0.00403893, 0.00394898]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2eb2897e-4524-4dc6-ad20-021db0a7a5ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2eb2897e-4524-4dc6-ad20-021db0a7a5ba' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-532c6d23-5b32-4dfc-8dec-8995c55517ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-532c6d23-5b32-4dfc-8dec-8995c55517ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26e82101-4144-43d8-b1f4-e6d3d055bcb4' class='xr-var-data-in' type='checkbox'><label for='data-26e82101-4144-43d8-b1f4-e6d3d055bcb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-8acdceb8-940b-473f-9cb0-ba247f446503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8acdceb8-940b-473f-9cb0-ba247f446503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b7bd8d0-bcce-41ab-b352-18a62e37b694' class='xr-var-data-in' type='checkbox'><label for='data-3b7bd8d0-bcce-41ab-b352-18a62e37b694' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9925</div><input id='attrs-55d08efa-6b8e-4cd9-bf95-a7672e418d51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55d08efa-6b8e-4cd9-bf95-a7672e418d51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1aac90a0-e996-423f-94a2-a4c3b8cdb966' class='xr-var-data-in' type='checkbox'><label for='data-1aac90a0-e996-423f-94a2-a4c3b8cdb966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>units :</span></dt><dd>level</dd><dt><span>formula_terms :</span></dt><dd>ap: ap b: b ps: ps</dd><dt><span>bounds :</span></dt><dd>lev_bnds</dd></dl></div><div class='xr-var-data'><pre>array(0.99250002)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-01-01</div><input id='attrs-2c6f7e8a-2ae0-4728-ac2c-56397bbe32de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c6f7e8a-2ae0-4728-ac2c-56397bbe32de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f909114-ba44-4064-90bb-e3097dc7cca7' class='xr-var-data-in' type='checkbox'><label for='data-3f909114-ba44-4064-90bb-e3097dc7cca7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f5fec92-06c0-4714-bde3-024f3901e5eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f5fec92-06c0-4714-bde3-024f3901e5eb' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ugC m-3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'AerMassBC' (time: 1, lat: 151, lon: 89)>\n",
       "array([[[0.00015407, 0.00015432, 0.000156  , ..., 0.00013934,\n",
       "         0.00013863, 0.00013881],\n",
       "        [0.00015432, 0.00016411, 0.00016586, ..., 0.00014448,\n",
       "         0.00014476, 0.00013869],\n",
       "        [0.00016306, 0.00016359, 0.00016498, ..., 0.00014607,\n",
       "         0.00022332, 0.0001446 ],\n",
       "        ...,\n",
       "        [0.02347759, 0.02723511, 0.0308018 , ..., 0.00500466,\n",
       "         0.0098305 , 0.00450498],\n",
       "        [0.02527243, 0.02991758, 0.02327749, ..., 0.00925707,\n",
       "         0.00927477, 0.00454409],\n",
       "        [0.02495694, 0.03863934, 0.03674207, ..., 0.00437587,\n",
       "         0.00403893, 0.00394898]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "    lev      float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2019-01-01\n",
       "Attributes:\n",
       "    units:    ugC m-3"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BC_enhance_2014, BC_seasonal_enhance_2014 =BC_enhancement_func(file_AerMass_loc_14,file_AerMass_loc_14_noGFED,'2014')\n",
    "BC_enhance_2015, BC_seasonal_enhance_2015 =BC_enhancement_func(file_AerMass_loc_15,file_AerMass_loc_15_noGFED,'2015')\n",
    "BC_enhance_2016, BC_seasonal_enhance_2016 =BC_enhancement_func(file_AerMass_loc_16,file_AerMass_loc_16_noGFED,'2016')\n",
    "BC_enhance_2017, BC_seasonal_enhance_2017 =BC_enhancement_func(file_AerMass_loc_17,file_AerMass_loc_17_noGFED,'2017')\n",
    "BC_enhance_2018, BC_seasonal_enhance_2018 =BC_enhancement_func(file_AerMass_loc_18,file_AerMass_loc_18_noGFED,'2018')\n",
    "BC_enhance_2019, BC_seasonal_enhance_2019 =BC_enhancement_func(file_AerMass_loc_19,file_AerMass_loc_19_noGFED,'2019')\n",
    "\n",
    "\n",
    "BC_enhance_2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# merge the 2014-2019 BC enhancement from fires\n",
    "BC_atm_enhance14_19 = xr.Dataset()\n",
    "BC_atm_enhance14_19 = xr.merge([BC_enhance_2014, BC_enhance_2015, BC_enhance_2016, BC_enhance_2017, BC_enhance_2018, BC_enhance_2019])\n",
    "# find the average \n",
    "BC_atm_enhance14_19_mean = xr.Dataset()\n",
    "BC_atm_enhance14_19_mean= BC_atm_enhance14_19.mean(dim= 'time')\n",
    "\n",
    "# merge the seasonal enhancement 2014-2019\n",
    "BC_atm_enhance14_19_seas = xr.Dataset()\n",
    "BC_atm_enhance14_19_seas = xr.merge([BC_seasonal_enhance_2014, BC_seasonal_enhance_2015, BC_seasonal_enhance_2016, BC_seasonal_enhance_2017, BC_seasonal_enhance_2018, BC_seasonal_enhance_2019])\n",
    "#find average\n",
    "BC_atm_enhance14_19_seas_mean = xr.Dataset()\n",
    "BC_atm_enhance14_19_seas_mean = BC_atm_enhance14_19_seas.mean(dim='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;AerMassBC&#x27; (time: 1, lat: 151, lon: 89)&gt;\n",
       "array([[[0.00014179, 0.00014193, 0.00014186, ..., 0.00016086,\n",
       "         0.00016093, 0.00016104],\n",
       "        [0.00014207, 0.0001528 , 0.00015228, ..., 0.00017218,\n",
       "         0.00017276, 0.00016102],\n",
       "        [0.00014596, 0.0001466 , 0.00014643, ..., 0.00017001,\n",
       "         0.00028347, 0.0001707 ],\n",
       "        ...,\n",
       "        [0.00122979, 0.0014827 , 0.00119146, ..., 0.00527328,\n",
       "         0.00777857, 0.00514581],\n",
       "        [0.00124695, 0.00125901, 0.00116868, ..., 0.00726841,\n",
       "         0.00748654, 0.00518446],\n",
       "        [0.00179452, 0.00184866, 0.00210007, ..., 0.0041734 ,\n",
       "         0.00411092, 0.00406052]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "    lev      float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2014-08-01\n",
       "Attributes:\n",
       "    units:    ugC m-3</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AerMassBC'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9ddee7bb-6d54-4c0a-bc07-8125a058cc28' class='xr-array-in' type='checkbox' checked><label for='section-9ddee7bb-6d54-4c0a-bc07-8125a058cc28' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0001418 0.0001419 0.0001419 0.0001415 ... 0.004173 0.004111 0.004061</span></div><div class='xr-array-data'><pre>array([[[0.00014179, 0.00014193, 0.00014186, ..., 0.00016086,\n",
       "         0.00016093, 0.00016104],\n",
       "        [0.00014207, 0.0001528 , 0.00015228, ..., 0.00017218,\n",
       "         0.00017276, 0.00016102],\n",
       "        [0.00014596, 0.0001466 , 0.00014643, ..., 0.00017001,\n",
       "         0.00028347, 0.0001707 ],\n",
       "        ...,\n",
       "        [0.00122979, 0.0014827 , 0.00119146, ..., 0.00527328,\n",
       "         0.00777857, 0.00514581],\n",
       "        [0.00124695, 0.00125901, 0.00116868, ..., 0.00726841,\n",
       "         0.00748654, 0.00518446],\n",
       "        [0.00179452, 0.00184866, 0.00210007, ..., 0.0041734 ,\n",
       "         0.00411092, 0.00406052]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-97fbac8b-3b4f-4d53-8a9c-378bf26f2817' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97fbac8b-3b4f-4d53-8a9c-378bf26f2817' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-6363413f-287e-49b1-b8d9-8d1c196e1279' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6363413f-287e-49b1-b8d9-8d1c196e1279' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47e2d6bb-13ca-440a-9620-8935285bfc5a' class='xr-var-data-in' type='checkbox'><label for='data-47e2d6bb-13ca-440a-9620-8935285bfc5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-6d30421e-3f3a-4a69-85eb-6ed301fe47b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d30421e-3f3a-4a69-85eb-6ed301fe47b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30be1381-101e-4efe-b459-401e2ab155e9' class='xr-var-data-in' type='checkbox'><label for='data-30be1381-101e-4efe-b459-401e2ab155e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9925</div><input id='attrs-18f34bc7-e1f9-448a-b297-07d206213cf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18f34bc7-e1f9-448a-b297-07d206213cf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e291d438-4c91-48c5-9caa-7ce5fd65693f' class='xr-var-data-in' type='checkbox'><label for='data-e291d438-4c91-48c5-9caa-7ce5fd65693f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>units :</span></dt><dd>level</dd><dt><span>formula_terms :</span></dt><dd>ap: ap b: b ps: ps</dd><dt><span>bounds :</span></dt><dd>lev_bnds</dd></dl></div><div class='xr-var-data'><pre>array(0.99250002)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-08-01</div><input id='attrs-9799546f-4666-4ee0-aff5-cc757f6fc1a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9799546f-4666-4ee0-aff5-cc757f6fc1a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51b7a252-fecd-4a68-9b5f-aa12d7a3694a' class='xr-var-data-in' type='checkbox'><label for='data-51b7a252-fecd-4a68-9b5f-aa12d7a3694a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-08-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-014c4612-47f8-453c-97b2-09b443483831' class='xr-section-summary-in' type='checkbox'  checked><label for='section-014c4612-47f8-453c-97b2-09b443483831' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ugC m-3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'AerMassBC' (time: 1, lat: 151, lon: 89)>\n",
       "array([[[0.00014179, 0.00014193, 0.00014186, ..., 0.00016086,\n",
       "         0.00016093, 0.00016104],\n",
       "        [0.00014207, 0.0001528 , 0.00015228, ..., 0.00017218,\n",
       "         0.00017276, 0.00016102],\n",
       "        [0.00014596, 0.0001466 , 0.00014643, ..., 0.00017001,\n",
       "         0.00028347, 0.0001707 ],\n",
       "        ...,\n",
       "        [0.00122979, 0.0014827 , 0.00119146, ..., 0.00527328,\n",
       "         0.00777857, 0.00514581],\n",
       "        [0.00124695, 0.00125901, 0.00116868, ..., 0.00726841,\n",
       "         0.00748654, 0.00518446],\n",
       "        [0.00179452, 0.00184866, 0.00210007, ..., 0.0041734 ,\n",
       "         0.00411092, 0.00406052]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "    lev      float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2014-08-01\n",
       "Attributes:\n",
       "    units:    ugC m-3"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BC_seasonal_enhance_2014"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (lon: 89, lat: 151)\n",
       "Coordinates:\n",
       "  * lon        (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat        (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "    lev        float64 0.9925\n",
       "Data variables:\n",
       "    AerMassBC  (lat, lon) float32 0.0001826 0.0001827 ... 0.005922 0.005857</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e4d8aa20-6e8c-4c97-81a2-bd229074e1bd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4d8aa20-6e8c-4c97-81a2-bd229074e1bd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 89</li><li><span class='xr-has-index'>lat</span>: 151</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d8f296d6-f639-4c95-a449-2b36a9d62f34' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d8f296d6-f639-4c95-a449-2b36a9d62f34' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-6965525c-874c-4f8f-9bcf-2083cd600c18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6965525c-874c-4f8f-9bcf-2083cd600c18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-425253c4-f14a-46d0-a866-f8e2467980db' class='xr-var-data-in' type='checkbox'><label for='data-425253c4-f14a-46d0-a866-f8e2467980db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-92c0bbd4-6a6c-4ba2-ad26-7564bf52bf1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92c0bbd4-6a6c-4ba2-ad26-7564bf52bf1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-659f04ef-9047-44f2-9c21-812eaa6ee563' class='xr-var-data-in' type='checkbox'><label for='data-659f04ef-9047-44f2-9c21-812eaa6ee563' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9925</div><input id='attrs-0338b8e1-2e46-4ea7-b687-268c47cd7061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0338b8e1-2e46-4ea7-b687-268c47cd7061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc2e01bb-8241-470a-b97c-aafd3c7546aa' class='xr-var-data-in' type='checkbox'><label for='data-bc2e01bb-8241-470a-b97c-aafd3c7546aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>units :</span></dt><dd>level</dd><dt><span>formula_terms :</span></dt><dd>ap: ap b: b ps: ps</dd><dt><span>bounds :</span></dt><dd>lev_bnds</dd></dl></div><div class='xr-var-data'><pre>array(0.99250002)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ae75189-df50-4b41-9ee8-75d79c8d71bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ae75189-df50-4b41-9ee8-75d79c8d71bc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>AerMassBC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0001826 0.0001827 ... 0.005857</div><input id='attrs-41c6310b-dc5a-41a7-91a6-911ba4339ed1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41c6310b-dc5a-41a7-91a6-911ba4339ed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f3d1c2a-3274-4a3f-9ab9-1c4d60c205bd' class='xr-var-data-in' type='checkbox'><label for='data-6f3d1c2a-3274-4a3f-9ab9-1c4d60c205bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00018256, 0.00018275, 0.00018271, ..., 0.00018864, 0.00019088,\n",
       "        0.00019127],\n",
       "       [0.00018271, 0.00020677, 0.00020709, ..., 0.00019971, 0.00020359,\n",
       "        0.00019084],\n",
       "       [0.00019254, 0.00019327, 0.00019335, ..., 0.00019019, 0.00031975,\n",
       "        0.00019466],\n",
       "       ...,\n",
       "       [0.0047766 , 0.00501863, 0.00349173, ..., 0.00706256, 0.00895731,\n",
       "        0.00691826],\n",
       "       [0.00481019, 0.00487214, 0.00381659, ..., 0.00845883, 0.00872064,\n",
       "        0.00693548],\n",
       "       [0.00428377, 0.00592239, 0.00379267, ..., 0.0059708 , 0.00592218,\n",
       "        0.005857  ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2cac5837-b167-4e6d-9788-b39129e693c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2cac5837-b167-4e6d-9788-b39129e693c5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lon: 89, lat: 151)\n",
       "Coordinates:\n",
       "  * lon        (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat        (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "    lev        float64 0.9925\n",
       "Data variables:\n",
       "    AerMassBC  (lat, lon) float32 0.0001826 0.0001827 ... 0.005922 0.005857"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BC_atm_enhance14_19_seas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC enhancement due to fires, 2014-2019.')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#import format_plots as fp\n",
    "reds_trans = fp.cmap_trans('Reds') # makes tranparent at lower end\n",
    "#BuPu_trans_r = fp.cmap_trans('BuPu_r')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "\n",
    "lat= BC_atm_enhance14_19_mean['lat'].values\n",
    "lon= BC_atm_enhance14_19_mean['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 0.7, 29-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "\n",
    "pcm= ax.pcolormesh(lon,lat,BC_atm_enhance14_19_mean['AerMassBC'] ,cmap=reds_trans, norm=norm)\n",
    "\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),s=50, \n",
    "           c='grey', marker=\"^\", alpha=0.5, label = \"Glaciers\")\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8,label= \"Obs.\")   \n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "# get the symbols and the labels for legend\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=2, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "fig.colorbar(pcm, ax=ax, label = 'BC ($\\mu$gC m⁻³)' )\n",
    "\n",
    "plt.title('BC enhancement due to fires, 2014-2019.', y= 1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'Dry season BC enhancement due to fires, 2014-2019.')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PD2hra6N79+6CjfvGjRvYsmULaz0lJSW0aNECXbp0Qf369VGuXDloaWkhNTUVUVFRCAwMxMWLF/H69WvGdnJycjB9+nScOXMGFStW5OvPIGLcunUL165dK+phFBsqKiqoVq0arKysULFiRRgZGUFLSwvZ2dlISkpCfHw8nj59iqioKM5tbt++HVpaWhg7dqxg4w4NDYWHhwenoMYGDRqgR48eaNCgAczNzaGjo4P09HR8/PgRwcHBuHTpEkJCQhjbEIlEWLhwIapWrQpbW1ue/oqS686dO1i2bBmnujo6OmjZsiXat2+PGjVqwNTUFAYGBkhOTkZCQgJev36Nmzdv4v79+6zHjYeEhGDevHnYvHkzH38GIYQQBVZsAxudnZ3RsGFD1noFBQXIzs5GdnY2MjMzkZCQgLi4OHz58gXv3r2TKEDgp/T0dKxcuRL+/v5Ys2YNpTkmhBBCWIwcORJVq1blXL+goADp6elIT0/Ht2/f8Pr1a7x+/ZrzcSt5eXlwc3PD2bNnYWlpKeWoxfP19cXMmTM5zyPMzc3h4uKCbt26wcLCgrGuvr4+9PX1UbZsWdSrV+/Xf8/KysLdu3dx8eJF3LlzR6o5DCGEEEIIIYQQIm/BwcGM97Bjx46loEZCFJCNjQ3atGmDVq1awcbGhvFo+J8+fvyIo0eP4tSpU6xBKQAwb948VK1aFbVr1+ZjyP/y5csXzJs3j7VenTp1sHTp0kIzxhoZGcHIyAgNGzbE2LFjceXKFSxfvhzfvn0T215ycjLc3Nxw4sQJqKoW28ewCi8tLQ1Lly4t6mEovKpVq6Jt27Zo3bo16tWrBy0tLdbXxMXF4dSpUzhy5AiSkpJY669fvx41a9aEg4MDDyP+t7S0NLi5ubGuhVtaWmLJkiVo1qzZf8oMDAxgYGCAOnXqYOjQoXj48CGWLFnCeApTbm4u3NzccP78eejq6sr8d5RUMTExmD17Nuvx0yoqKhg4cCCmTp0KAwOD/5SbmZnBzMwMtWrVQq9evZCcnIzNmzfjxIkTjG37+vri4MGDGD58uKx/CiGEEAVWbGfUjRs3hrOzs0xt5OXlITo6GoGBgXj06BEeP36MlJQUzq+/desW+vbtiwMHDtBRj4QQQgiDNm3aoEmTJjK1UVBQAH9/f1y4cAEXLlxAXl4eY/2MjAzMnz8fx48fl6nfP92/fx9ubm6sN+sAUK5cOUyfPh09evSQeSFTU1MTnTt3RufOnREfH4/9+/fj5MmTSE9Pl6ldQgghhBBCCCFESBEREYzlnTp14rW/VatWYdWqVby2SUhpYWZmhr59+6Jnz54SbVL+ycLCAvPmzcO4ceOwYMEC3Lp1i7F+Tk4O5s6dCx8fH6ipqUk77EItX76c9Zlfz549sWLFCk5BmwDQrVs32NnZYfTo0YzZG0NDQ3H8+HG4urpKNGY+qaiowMrKCpqamggNDS2ycQjl77//RkxMTKFlFhYW+Pjxo5xHpDj09fXh5OSEXr16wcbGRuLXlylTBpMnT8bIkSPx119/wdvbm7G+SCTCggULcOXKFd43KmzatAmfPn1irNO8eXNs3ryZcyKiFi1awMfHB1OmTIGfn5/Yep8+fcKWLVs4BUgLRUlJCZUrV4aZmRmePHlSZOMQx8PDg/UoeAMDA+zevRv169fn3K6BgQE8PDzQvXt3jBs3jrGPDRs2oEOHDpQllxBCSjDloh5AUVJVVUW1atUwYMAAbN68GQ8ePMCGDRvQtGlTzm1ER0fD1dUVsbGxAo6UEEIIIcrKymjWrBlWrlyJM2fOcDoG4unTp7hz5w5vY3j79i2mT5/OKahxwIABuHz5MpycnHjfnW1mZoY5c+bgxo0b6Nu3L5SUlHhtnxBCCCGEEEII4QtTcImZmRlMTEzkOBpCSGFq166N9evX4/bt25g+fbpUQY2/MzY2xo4dO+Dm5sZa99WrV/Dx8ZGpvz89ePAAN2/eZKzTqVMnrF69mnNQ409ly5bFwYMHWU9l2bJlCxITEyVqW1pKSkqoUqUKevTogXnz5uH48eN4+vQpLl68iIEDB8plDPL09OlTeHl5FVrm6OiIRo0ayXlEiqFy5crw9PTEvXv3MH/+fKmCGn+nra2N5cuXY/Xq1VBRUWGsGx8fjz179sjU35/evn3LmrSgQYMG2L59u8SnK+rr62PHjh2szxiOHj2KyMhIidqWhbm5Obp06QJ3d3ccPHgQT548ga+vL6ZMmSK3MXB179493Lt3j7GOsbExDh8+LFFQ4+8aNGiAw4cPw9jYWGydrKwsrFixQqr2CSGEFA+lOrDxTxoaGujWrRsOHTqE48ePw87OjtPrPn78iGHDhiEtLU3gERJCCCEEAGrWrIlDhw5xWqTiK2NjRkYGJkyYwPp7r66ujlWrVmHp0qWCH1NhbGyMFStW4OTJk4IcuU0IIYQQQgghhMiK6chWU1NTOY6EEPKnOnXqYOfOnTh79iwcHR15z5o4fvx4jB49mrXe7t27UVBQwFu/mzdvZiy3sLDAypUroaws3WNSExMTbNiwgfHfKyUlBQcOHJCqfTYWFhbo2rUrZs2ahcOHDyMwMBDXrl3D33//jeHDh8POzo7TkcPFUU5ODjw8PCASif5Tpq+vj/nz5xfBqIqWpaUl1q5di6tXr8LFxYX39753795YuHAha72jR4/y+qx869atjKc2GRoaYsOGDVL/vdra2ti4cSNjlsm8vDxs27ZNqvbZlC1bFh06dMD06dOxd+9e+Pn54datW9i0aRPGjBmDZs2aSRywKU9c/l1WrVoFa2trmfqxtrbGypUrGevcunULISEhMvVDCCFEcVFgoxh2dnY4duwYFixYAE1NTdb6UVFRWLBggRxGRgghhBDgx8LDli1bWI+3ePjwIS/HNa9duxYfPnxgrKOmpoZt27bByclJ5v4kUa9ePZw5cwa9evWSa7+EEEIIIYQQQgibjIwMsWU6OjpyHAkh5CcLCwusX78ep0+fRtu2bQXty93dHfb29ox1Pn/+zHgkrCQCAgLw7NkzxjoeHh4yb0iuW7cuBg8ezFjHy8uLt0CvyZMnY//+/QgICMCNGzewceNGjB49Gk2aNBF8c7Ui2bFjh9gMejNnzixVAfMmJiZYvHgxLl++jJ49e7JmVZTFoEGD0Lt3b8Y6GRkZuHr1Ki/9ffz4EdevX2esM23aNJQvX16mfszNzVmzIV67do23o82HDBmCnTt34uHDh7h37x62bduGCRMmoFWrVjAyMuKlD3kIDw9nDSTs06cPHBwceOmvTZs2cHZ2Zqyzc+dOXvoihBCieCiwkYGSkhJcXV1x5MgRTsdhXLt2TWzqc0IIIYTwz9jYGOPHj2esk5eXh6CgIJn6CQgIwIkTJxjrKCkpYd26dWjdurVMfUlLR0cHa9aswfz586XebU4IIYQQQgghhPAtJydHbBndvxJSNMaMGQNHR0coKSkJ3peSkhLmzp3L2teNGzd46e/IkSOM5U2aNOEt2GbSpEmMAdopKSk4f/48L30NHz4cLVq0gIGBAS/tFUdv374Ve9xxgwYN4OLiIucRFa0+ffpg0KBBUFVVlUt/M2bMYM2OyNf3+NixY8jPzxdbbmlpydv7PWjQIMaj5fPz83k7Fapfv35o27ZtsQ/AZbuuqaqqYtq0abz2OX36dMbP+p07dxAdHc1rn4QQQhQDrRpwYGtrixMnTsDY2Ji17vr165GUlCT8oAghhBACAHB0dGStI24XLxcikQirVq0q9HiT340aNQqdO3eWuh++DBs2DJs2bYK6unpRD4UQQgghhBBCCCGEENjY2KBp06aMdQICAmTuJyUlBXfu3GGsM2rUKJn7+UlfXx/9+vVjrHPhwgXe+ivNCgoKsHDhQuTm5v6nTFVVFZ6ennIJ1C3NypYty7oWHxgYKPOx8gUFBbh06RJjnWHDhvGWoVJVVRWurq6MdS5duiTz31WS3Lp1i7G8ffv2KFu2LK99li1bFu3atRNbLhKJcO7cOV77JIQQohjks4WjBKhcuTJ27tyJoUOHIjs7W2y95ORkbN26FQsXLpTj6EhxIhKJ8PnzZyQmJiI1NRVpaWlIT0+HqqoqtLS0oKmpCW1tbZQtWxblypWT204rUrzk5ubiw4cPSE5ORlpaGtLS0pCVlQUNDQ1oampCS0sLurq6KF++PExNTemGnpRo5cqVQ9WqVfHu3Tuxdb5+/Sp1+9euXcPz588Z61hbW8PNzU3qPvjWqVOnoh4CIYQQQgghhBBCCC9iYmIQFxeH9PT0X2uhysrK/1pPNzMzQ/ny5WmjpwJr06YNHj9+LLb83bt3yM3NhZqamtR9+Pr6MmaJLV++PO+nrfTv3x8HDx4UWx4SEoIPHz6gUqVKvPZb2hw7dgzBwcGFlo0YMQI1atSQ84hKp7Zt2+L06dNiy9PS0vD582fGDIhs/Pz8EB8fL7ZcQ0MDPXv2lLr9wjg5OWHt2rVirx9xcXHw9/dHs2bNeO23OPry5Qs+ffrEWIft2GhpOTs7Mx5RfuHCBUybNo2eiRJCSAlDEVMSqFevHqZOnYq1a9cy1vPy8sLYsWNRpkwZOY3s3/Ly8hASEoLHjx/j7du3iIqKQmJiItLT05GdnQ0tLS0YGxujUqVKmD9/PqysrJCfn4+dO3eK3W2iqamJMWPGyPXv8Pb2RkxMjNjyIUOGwMjISI4jko5IJEJAQABu3LiBly9f4uXLl0hLS+P0WhUVFZQrVw6VKlWCra0t6tWrh3r16hVJivKUlBQEBwcjKCgIkZGR+PTpE+Lj45GRkYHs7GyoqalBS0sLZmZmsLCwQK1atWBnZ4dGjRoV+WJSRkYGwsPDERkZiXfv3uHdu3eIi4v7tQiWkZEBZWVlaGpqQk9PD2XLlkXFihVRq1Yt1K1bF/Xr15dpMYUPWVlZuHnzJh4+fIiIiAi8fv260J2JhdHQ0ECFChVQtWpV1K9fH7a2tqhbty7jERlCiIqKQmBgIJ49e4b379/j8+fPSE1NRWZmJgBAS0sLenp6MDc3R6VKlVC/fn3Y2dmhatWqch2ntBITE3Hnzh0EBwfj9evX+PLlC9LS0pCdnQ0NDQ0YGBjA3NwcNWvWhJ2dHVq3bg09Pb2iHnaJUa5cOcbAxoyMDKnb3r59O2sdDw8PCkQXSH5+Pl68eIGgoCC8ePECHz9+xNevX5GWlvav64eBgQEqVqyIKlWqoGHDhrC3t+d9V6gQoqOjcfv2bYSHh+PNmzdISEhAWloa8vPzoaWlBRMTE1SsWBE2Njawt7dH06ZNFf6zFhERgTt37uDFixeIjIz8tZkDwL/mCnXr1kXTpk1hZ2dXpItNOTk5/5onREVF/bqGp6enIz09HcCP39Of84QKFSrA2toaderUQaNGjaChoVFk45dUcXt/ChMZGYmQkBCEh4fjw4cP+PLlC75//46srCzk5ORAU1MTOjo60NXVRbly5WBlZQUrK6tfczu+dvRLIiMjA8+ePcPTp0/x5s0bfPr0CbGxscjIyEBWVtavTU4mJiawsLBAjRo1fs2ldXV15T5eSWRlZeHx48fw8/P7df/58/ujrq4OAwMDVKhQAfXq1YO9vT1at27Ny3vw9etX3Lp1C8+fP0dERAQSEhKQmpr6657XzMwMVapUgZ2dHdq2bQsrKyse/lp+iEQivHnzBk+fPkV4eDg+fvz4r7lxQUHBv+bGlpaWqF+/Ppo0aSLTwyF5iYmJwc2bNxEWFobXr1//uvf6+f00MjL6db/VqFEjtGzZEpqamkU97FJFJBLh+fPnuHfv3q/fwO/fvyM9PR1qamrQ0dGBiYkJqlWrBmtra7Rp04YeFBex6OhoBAUF4dmzZ/j48SM+ffqE5ORkZGZmIi8vD5qamtDV1UWFChVQuXJl1KtXD40bN0b16tWLeuilVkJCAp48eYLg4GC8e/cOnz59wvfv33+9Z1paWtDW1kb58uVhYWEBGxsb2NnZoU6dOkUyV+HDlStXfs2d/xQXFyf2dXFxcfD29paor27dusl9XYsvaWlp8PPzQ2BgIKKiohAdHY2UlBSkp6ejoKAAOjo6KFOmDCwsLDitR7AprvOO0NBQXL9+Hc+fP8eLFy84n5KlrKwMMzMzVKpUCXXq1Pm1nl6hQgVhB0w4ady4MWN5fn4+vn79KlMAIFsWsa5du/J+j2tlZQVra2tERESIrXP79m0MGzaM135Lk69fv2L9+vWFllWsWBGTJ0+W84hKr0aNGrHW+fTpk0y/IWzf4zZt2vC+VqKnp4dWrVrh5s2bYuvcvn2bAhsBhIWFMZYrKSmhQYMGgvTdoEEDKCkpiT1d6/Pnz3j16hWsra0F6Z8QQkjRUBKxnatYRNq1a4fPnz+LLV+5cqVg0f5MCgoK0K9fP4SHhzPWmzx5MqZMmSJVH2fOnMG8efPElt+8eRMVK1b8z3+PiorCsWPHcO7cuV8PJ9kcPnwYTZo0AQCMGzeOMUW/l5eXYBORP8XFxaFt27bIy8srtNzS0hK+vr5yGYu0UlJScODAAZw/f57xsyyN2rVro2vXrujataugC0y5ubm4cuUKLl68iMePH4t9P5jo6emhY8eOcHV1Ra1atQQY5X/l5eXhyZMn8PPzg7+/P8LDwzkHARZGV1cXbdq0wYABA1gXX/gWGRmJAwcO4Nq1a5y/11yoqqqiadOm6Nq1Kzp27AgDAwPe2v7d9+/fcfLkSVy8eBFv376Vqo1q1aqhZ8+ecHFxgaGhIb8D/A3T746TkxNWrVpVaFlgYCD27t2Le/fuIT8/n3N/6urq6Ny5M8aPH49q1apJNWZFUrNmTcby339vhDBz5kzG4ykGDhyIJUuWSNxuYGAgBg8ezFinffv2vDxsIP8WHh6O06dPw9fXF4mJiRK/XklJCY0bN0afPn3QvXt3QYIBP336hPbt24stFzdfzcvLw9WrV7F//368ePFCoj4NDQ3h4uKC4cOHw9jYWOIxs/H392c8ekXcdzk7Oxs+Pj44ePAg3r9/L1GfZcuWxdChQzFo0CC5PJwUiUQIDg7+NU8IDg5mzMjORlNTE82bN4eLiwtat24NZWVlHkf7b6Xh/RHnzZs38PHxwfXr12WaW+vr66NZs2ZwcHBAly5dBP2bCgoKcOvWLVy4cAF3795FVlaWxG1oamqiTZs2GDx4MOzt7QUYpfT3n9HR0di/fz8uXLjwK9CcizJlymDw4MEYOXKkVBugbty4gX379iE4OFjsQnZhGjdujGnTpsl9Pv+7d+/ewdvbG9euXcOXL1+kaqNOnTpwdnZGnz59BAsGZJrXiVvrEIlEuHv3Lvbu3YsnT55I1J+2tjZ69eqFsWPHyhx0sGXLFmzdulWmNiT16tUrufYni5ycHJw6dQpHjx5FVFSURK+1tLTEiBEj4OTkVGhA/9y5c3H27NlCX2tubs76cFIcaa9RfBg6dKjYIzHt7e1x5MgRQfr9KSYmBt7e3rhy5QrjJi4mVlZW6N27NwYMGAB9fX2eRygcpn97IfD1fubm5uLixYs4d+4cnjx5ItVxhaampujatSsGDhyoUEH5XLCt5/OJ7bsv1DVJlrb9/f1x9OhR3L59m/M6pSy/McVl3vG7rKwsHDt2DD4+PoiMjOS17SpVqvxaT6dg/aITGxvLmi3Rx8cHderUkar9vLw8NGnShDGxxKFDh1iPxJbGhg0bsHPnTrHlbdq0wa5du3jvlwu2+ZQ85jWyYnp+uWfPnv98rpiu1YBsz3DJj98Hpt+yzZs3o3PnzlK37+joyPg86a+//kKfPn2kbl+cU6dOwcPDQ2x59erVWY/IFgrbmqCs8xtJ7NixAxs3bhRbXqVKFVy7dk2w/jt37ozo6Gix5e7u7nJP1kQIIURYip3uRQEpKyvDzc0No0aNYqx38uRJTJgwQS4ZdVJTU7Fx40YcP35cqgWznwYMGMAY2Hjq1Cm5BTb6+PgwBtH1799fLuOQ1rlz57BmzRp8+/ZNkPZfvHiBFy9eYN26dbhy5QrvC535+fnw8vLCnj17ZDq+Ffjx+Txz5gzOnDmDdu3aYf78+YIEYxYUFODJkye4fPkyfH19Oe/i5SItLQ2XLl3CpUuX0KBBA8yePRsNGzbkrf3CZGVlYceOHdi3b59MQZni5OXl4cGDB3jw4AE2bNiAhw8f8tp+ZmYmduzYgSNHjsiUKQ8A3r59i/Xr12Pnzp0YOnQoJkyYAC0tLZ5GKr3Y2FgsWbJE6pvFnJwcXLx4EVeuXMHw4cMxffr0Is9uWpyJywrxk7QP8U6dOsVah21OQCTz7NkzbNy4EY8ePZKpnZ8ZkwMCArBlyxbMnj1bpgU1voSEhGDhwoV48+aNVK9PSkrCrl274OXlhfnz56N37978DlAKd+7cwZIlS6SeM8TGxuLvv//G0aNH4enpCQcHB55H+ENoaCguX76Mq1evIjY2lrd2s7KycOvWLdy6dQvVqlWDu7s72rZty1v7siou7484oaGh2LRpEx48eMBLeykpKfD19YWvry9WrFiB7t27Y9CgQbzv5L548SK2b98udSDKT1lZWbh27RquXbuGRo0awcPDo8h3nWdnZ2PLli3Yv3+/RJs6foqLi8OGDRtw5swZrFy5EnZ2dpxeFxERgQULFrBuMhTnyZMnGDJkCPr374/58+fLdT4ZGRmJTZs24Z9//pHpnh34EfgfHh6O7du3Y8qUKXBxcSnyrKqRkZFYuHAhgoKCpHp9RkYGTpw4gbNnz2Lq1KkYOXJkkf9NJdHdu3exfPlyfPjwQarXR0dHY/Hixdi9ezdWrFhBmUoEFBsbi82bN+P8+fMyrwdERkZi3bp12LVrF0aPHo3Ro0cX+YkUJZFIJIKPjw+2bdsmdQDZTwkJCThy5AiOHTuGLl26YNasWZRprpiLjo6Gp6cn72tv4hTXecfdu3exbNkyfPz4UZD2o6KisH37dmzfvr3QICgiH1w2aEqzIeynsLAwxqBGLS0twdb1mzdvzhjYGBAQgLy8PIU/hUMRXbp0Seyzy27dutH3uQgYGRkxZmOW5XscFxfHmiSjefPmUrcvS7tv3rxBfHw8zMzMBOm/uGBbYxQ6a3y1atUYAxsfPnxIgY2EEFLCCJdOpARr2bIl6tWrx1gnPj5e4iwF0oiIiEDPnj1x9OhRmRcqHBwcYG5uLrb86tWrnI9QloVIJMLp06fFlqupqcHJyUnwcUgjIyMDEyZMwJw5cwQLavyTNA8TmYSHh6NPnz7w9PSUOajxT7du3UKPHj1w/PhxXtsFgNGjR8PV1RUnT57kNajxT8HBwRg0aBBWrVqFnJwcQfr48OEDevfujZ07dwoS1PgnaTJxMvH394ejoyN27dolc1Dj7zIyMrBr1y50795drpkbCnPv3j04OjrysgMuPz8f+/btw/DhwwX97JZ0379/Zyw3MjKSuM3s7Gxcv36dsU6tWrU4B2QQZmlpaVi0aBFcXFxkDmr806dPnzB16lRMmjSJ1+y3ktqxYwcGDhwodVDj75KTkzFnzhx4enrKPAeUVl5eHpYuXYpx48bxMmeIiYnBuHHjsHv3bh5G928eHh7o168fDh48yGtQ45/evn2L8ePHw93dXS7zZibF6f0pTHJyMubNm4f+/fvzFtT4p/T0dJw8eRKbN2/mrc33799j6NChcHd3lzmo8U+BgYHo06cPNm/eXGTf+5iYGPTr1w979uyR+T7k/fv3GD58OC5fvsxa99ixY5xOTuDi1KlTGDFiBJKTk2Vui01ubi42btyIXr16wdfXl9f3LSEhAYsXL8bgwYMFva6xOXPmDHr37i11UOPvsrKysGbNGkydOlWmTLrk3/Lz87F69WqMGzdO6qDG333+/BnDhw/Hhg0beBgd+Z1IJMKhQ4fQtWtXnD59mtf1gLS0NGzcuBFOTk5Sn6ZACvf582e4urpiwYIFMgc1/q6goABXrlyBo6Mjjh07xlu7RL4uX76Mnj17yiWosbjOO/Ly8rBo0SKMHTtWsKDGP/G9nk644xLsVFhmaK5CQ0MZy21sbATbWF6vXj2oqKiILc/IyOA9E2lpkJSUhL/++qvQMj09PcyfP1/OIyIA+3dZyO9x+fLlUb58eanbZ1KxYkWUKVOGsQ7bMcylAdvpSnp6eoL2z5bEIjQ0VKITPgghhCg+CmyUUr9+/Vjr3L59W9Ax+Pv7Y+DAgbwtmikrKzP+XZmZmbhw4QIvfTF5+PAhPn36JLa8Y8eOghy9KKucnByMGzdObqm+heDl5YUBAwbg5cuXgvWRmZmJpUuXYuHChbwuIskzeEAkEuHAgQMYM2YMa5Y4SX38+BGDBg2S+FgwRXH06FGMHDlS0KOHPn36hBEjRhTZwv6pU6cwfvx43oOjnj59itGjR/P+mSoNcnJyWI9nkia7lb+/P+vRmt26dZO4XfJfkZGR6NevH06ePCnoosONGzfQt29fiY/ilVVBQQHmzZuHjRs38h6MdOzYMXh6evLaJhdZWVkYN24c75sVRCIR1q1bhz179vDarryDDC9evIhBgwYhPj5erv3+VNzenz+FhobCyckJZ86cKVYLkTdu3ICzs7OgGzDy8vKwbds2TJw4UaLjn/kQFRWF/v3783rsbk5ODtzd3RnvnTds2ABPT09eNxUFBwdj4sSJgm1UAn5kXBs6dCh27Ngh6Galp0+fwtnZmfXhjxA2bdqEefPm8f7veP36dUybNo33DVilUU5ODtzc3LB//37er6c7d+7EggULitV1WpGlpqZi4sSJ+OuvvwS9J3zz5g369+/PeGIL4S4wMBB9+/YV9Lc/IyMDnp6eglxvibD27t2LGTNmyCVYv7jOO0QiEebMmYOTJ0/y0h5RfDExMax1DAwMpG6f7blG7dq1pW6bjaamJuvJWkI+dympVq5cKTaJyIwZM0p95ryikJaWxvpspLh+j4EfAdBMXrx4IWj/xQHbepQs7z8XbO2np6czZnQkhBBS/FBgo5S6du3KuuNEyEXCiIgITJw4kddsaMCPgE2mI2m8vb157a8wbMd+Kuox1MuWLSvyLHKyWLt2LRYvXiyXDIHAj8/S7Nmzi/UOWT8/P4wbN463heWcnBxMnDixyIIgZLVz504sW7ZMLg8g8/Ly4OnpiV27dgne1+8uXryIRYsWCfa5DQsLw6JFiwRpuyTz8/NjvJlWUlJCnTp1JG737t27rHW6du0qcbvk34KDg+Hi4sJ7ZjNxoqOjMXToULkGNy5ZsgRnzpwRrP0TJ07I9UFQXl4epk2bJlgWPQBYt24d7t+/L1j78vDq1Su4uroiJSVFrv0W9/fn9u3bGDJkiKCbJIRw7NgxTJ48WW5BtLdv38a4cePkFtyYkJCA0aNHC5IZsKCgADNnziz0d2DDhg2Mx7nJIjAwEGvWrBGk7aioKPTr1w/BwcGCtP+nhIQEjBgxAs+ePZNLfwCwa9cubN++XbD2b9++zWs21dJIJBLB3d0dvr6+gvVx+vRpbNmyRbD2S4tv375h0KBBctsom56ejsmTJ+PmzZty6a+kevz4MUaOHMmasYYvZ86cwdSpU+W2bkdkc+bMGaxdu1YufRXneceuXbtw6dIlHkZFiovnz58zlquqqsqUiY0tIKpmzZpSt80F28ZqCoiSzMOHD3Hu3LlCy+rXr48BAwbId0AEwI/n02ybmywsLKRuX9G/xxSgzH4KnFCZcX/ikhGU7feGEEJI8aJa1AMornR1dWFnZ8d4VOL79++RkJAAU1NTXvvOyMjApEmTGB+aVa1aFfXq1YOFhQUMDAygoqKC9PR0fPnyBS9fvsSzZ88KDcwxNTVF+/btce3atULbffHiBcLCwlC3bl3e/p7fffv2jXEh19LSEk2bNhWkb1n4+/uzBmQCP27M69evj5YtW6J69eqwtLSEkZERtLS0oKGhgYyMjF+7nWJjY/Hq1Su8evUKEREReP36tWDjX716Nfbv38+5vomJCezs7FChQgUYGhrCwMAAGRkZ+PbtG758+QI/Pz9OR+peunQJZmZmmDt3rgyj587U1BTW1tYwNzeHnp7er/8VFBQgNTUVqampiIqKQnh4OOfgwidPnmD58uW8ZMvatWsXp/dZR0cHTZs2RbNmzVClShVUqlQJenp60NbWhoqKyq/PUFpaGj58+IBXr17h9evXCA8P5/148Z+OHz8u0VFk5ubmsLOzQ5UqVX7trkpJSUF0dDQCAwMZs7b+bv369dDT08OgQYOkGrckgoKCMHfuXLE37erq6mjcuDEsLS1hbGwMIyMjpKenIzExEa9evcKTJ084PYC4dOkSOnXqhM6dO/P9J5RYbAEPzZs3l+r4A7ZgdXNzc5kWaQgQEhKCUaNGcc5Ko6amhrp168La2vrX74+Kigq+ffuGb9++ISgoiNPRerGxsRg9ejROnz4t+A7SvXv3MgYdGhoaokmTJihXrhxMTEygp6eHpKQkfPv2DU+fPuW8WLZy5Uq0bt1asKNYfrdixQrGDTxmZmZo0qQJypQpA2NjY2hra+P79++Ij4+Hv78/p6zEIpEI8+bNg6+vL3R0dHgcvXiGhoaoUaMGLC0toaurCz09Pejr60NJSenXPOHjx48IDw/nHHT37t07zJgxA3v37hV49P9TnN+ff/75B9OnT5dok4SZmRnq168PCwsLmJmZQUtLCzk5OUhJSUFycjK+fPmCsLAwxMXF8TbOPx09ehTLli3jXF9PTw92dnaoVKkSDAwMYGRkhOzsbHz79g2xsbHw8/PjNBf19/fHnDlzBA/+EolEmDp1qtj5mYqKCurXr4+aNWvCxMTk1xzo27dvePbsGZ49e8aarTY9PR1Lly7FoUOHfv23K1euMP7Gm5iYoGnTpihbtixMTU2hqamJhIQEfP78Gffv3+cUaHL06FF07doVdnZ2rHW5+nkcOdf7CRUVFVhbW6NOnTowMjKCoaEh1NXVkZiYiG/fviE0NBQvXrxgfXCUlpaGsWPHwsfHBxUrVuTjTxHrypUrWL9+vdhybW1tNGnSBBUrVoSJiQkMDAyQmpr66+/h8pkAgD179qBDhw6wtbXlc/ilxrp16zgHNaqoqMDW1hY2NjYwNzeHtrY2srKyEB8fj4iICDx58kRsxrFt27bReySDxMREDB06lPPRlEpKSqhevTrq1q0LExMTGBoaQlNTE9+/f8f3799/rfmx/Zbm5uZi+vTpOHbsGL1/UggLC8OECRM4Z+LT19dH48aNUb16dZiYmEBNTQ3p6en4+PEjwsLCOF3ngR9B37Nnz6aj4BXcy5cvGTetqqmpoXbt2qhduzbMzc2ho6MDkUiEtLQ0REdHIzQ0lPOR8cV53hEdHY2tW7ey1lNSUoKNjQ1atWoFa2trWFpawtTUFFpaWtDU1ERmZibS0tKQlpaG+Ph4vH79+td6+suXL3k/NYHIhm0TcZUqVRgTb7Bh28RqaWkpddtcVKpUibFc3ieIFGeZmZlYvHhxoWWqqqpYunQplJUpd09RYEvqo6uriwoVKkjdPlumvcqVK0vdNhf0PWbHFrgo9KZfLqepFddT8QghhBSOAhtl0KxZM8bARuDHjgAHBwde+12zZk2hD5V0dHQwdOhQ9O3blzXQ4vv37zh58iR0dXX/UzZgwACxgY3Aj0x7QgU2+vj4MAb+9O3bF0pKSoL0LQu2h4kqKioYNGgQRo8ejXLlyomt9zPQrnz58qhRowZatWr1qywmJgY3b97E7du38fjxY96y4p08eZJTUKOenh5cXFzg7OzMeqRCQUEBgoODsXv3btabnAMHDsDW1laQ41wrVqyI9u3bo3Xr1qhdu7ZER5h//PgRPj4+OHv2LOsRGSdPnkTnzp3RokULqceampqKAwcOMNYxNDTEuHHjMGDAAGhrazPWMzQ0BADUqlXrXwFyERERuHnzJm7evMnbjqWgoCD89ddfnOp26dIFo0aNYn1wEh4ejv379+Py5cusbf7111+oVasWGjRowGkM0khOTsbMmTML/d7Vq1cP48aNQ/PmzaGlpSW2jbS0NHh7e2Pr1q2sN3Zr1qxBu3btZFrIKy2OHTuGp0+fMtbp16+fxO1mZWWxPly0t7eXuF3yP1+/fsWkSZNYgxqVlJTQunVruLq6onHjxqw7Mr98+QIfHx/s37+fMbP1hw8fMGvWLOzevVuq8XMREhICHx+f//x3JSUlODo6YvDgwahXrx5UVFTEthETE4Pt27fD29ub8YFMZmYm1q1bh7///puXsYtz/fr1Qo83VlVVhYuLC/r27YtatWoxztfevXuHjRs3sgZbxMfHY/fu3XBzc5N53IUxMzNDu3bt0KZNG9SuXZtxjvanuLg4nD9/HqdPn2ZdcL1//z68vb2luhZJqji/P6GhoXB3d+c0xzUwMMCAAQPQo0cPVK9enVP7cXFxCAwMxLVr13D37l1kZWXJOmQAPx7MrVixgrWehoYGnJyc0L9/f9SqVYv1AczLly+xf/9+XLp0ifG77+vriz179mDMmDESj52r3bt3F/pbW7ZsWUyaNAmdOnWCkZGR2NcnJCRg69atOHnyJOPf4ufnh3/++QcdO3ZEZGQkFixYUGg9R0dHuLq6wtbWVuy/Y0FBwa/35uPHj2L7FIlEWLt2Lby8vMTWkURqairGjx/PKbigYcOGGDFiBJo3b17offnvvn37hosXL2LXrl2MAZtJSUmYPHkyTp06JViGhI8fP/4rAPV3LVu2xKhRo9CoUSPG/hMTE3Ho0CHs37+fMft9QUEBVq5ciRMnTnAeX7t27Qq9ni9cuFDsa9q2bYv27dtz7qM4ePDgAaegem1tbYwcORIDBw5k3JSbmZmJCxcuYMeOHYVullu8eLFg60QlWW5uLqZOncopqLFmzZoYOXIkHBwcGK+5wI9r0fXr17Ft2zbGzRg5OTmYMmUKzp8//2sNQVGMGjUKPXv2/Nd/e/fuHeP61ciRI1G1alWp+pPkGMvv379j2rRpnLIm161bF+PGjUO7du1Y5/zHjh3D4cOHWecoV65cQZ06dTBq1CjOY5YXps3qQ4cOFbt50N7eHkeOHBFqWHKVm5uLOXPmFLq+bW5ujtGjR8PR0ZF1g11UVBTrem1xn3ds376ddQNwjx49MHHiRMbvtq6u7q+/qVq1amjWrNmvssTERNy5cwe3bt3C/fv3ebsHINJJS0tjfVbQuHFjqdtPSEhgvTazBSzJiq19rpv5CbBp0yax93LDhw9nzapHhFFQUICrV68y1rGzs5Mp6JRtM3FRBzbS9xiMz8EACH56TXJyMmsdprUgQgghxQ8FNsqgYcOGrHWECGws7Ni3tm3bYvny5ZyzQxoZGWH8+PGFlv3MAiduN8OlS5cwd+5cxsAqaYhEIpw+fVpsuZqaGpydnXntkw9RUVEIDAwUW66jo4OtW7eiefPmMvVTrlw5DB48GIMHD8bXr19x+PBhxn8vLsLCwlizyygpKWH06NEYP34868LXT8rKyrCzs8OuXbvw5MkTzJw5k/HYOk9PTzRt2lSiwENx9PX14eLiAkdHR9SqVUvqdiwsLDB9+nRMnDgR27Ztw759+xgX21asWIFLly5JfcN25coVxuAeKysr7Nq1S+bscNbW1rC2tsakSZMQGhqKgwcPynSEemZmJtzd3VkXIs3MzPD3339zzrhap04drF+/HgMGDMDMmTMZsyzl5uZi5syZuHz5MusNlbQKW5w3MjLC4sWLOR9FrKurixEjRsDR0RGjRo1izM756dMnXL169T8Pcsi/nThxgvUaVqdOHXTq1Enitl+9esV65Hjt2rUlbpf8kJeXhylTpiAhIYGxXr169bB8+XLUqFGDc9sVKlTAlClTMGjQICxdupQxOOvu3bs4c+aMYPOLwjI12tjYwNPTk/Px6OXKlYOnpyd69eqFcePGMe5IvXLlCmbMmCHTrmg2R48e/c9/a968ORYvXsw580HVqlWxefNmXL9+HTNmzGD8DTl+/DjGjRvH27xTU1MTTk5O6NmzJxo0aCD1hpkyZcpgzJgxGDVqFA4fPoxNmzYxBtL+/fff6Natm+DZJ4vr+5OSkoLJkyezPmhUVVWFq6srJk+eLPG/ZZkyZdCtWzd069YNaWlp+Oeff7Bv3z68efNG6nF/+fIFM2fOZM0C4+zsDHd3d5iYmHBuu1atWli7di1GjRoFd3d3xnFu3rwZ7du3lzqYg01hmenHjBmDiRMncnrvTU1NsWTJEnTq1Anjx49nzG61f/9+dOzYEYsXL/7Pd8rKygp//fUX6tevz9qnsrIy2rZti2bNmmHy5MmMR6cHBwcjMDAQjRo1Ym2Xzbx58wo9Uvt3lpaW+OuvvyTKEmliYoLhw4ejb9++WLduXaEBzD+9fPkSu3btwpQpUzi3L4nz58//579ZWFhg2bJl/wokYGJsbAw3Nzf07NkTI0eOZNxIFhQUhKdPn3L+97KxsYGNjc1//jtTYKONjY1cgs/lJS0tDfPmzWPNttW4cWOsW7cOZcuWZW1TS0sLLi4u6NmzJ1asWAFvb+9/lcfExAiaGbekWrt2LZ48ecJYx8zMDJ6enmjXrh3ndvX09NCnTx/06NEDe/bswZYtW8R+HmJiYrBq1SqsWrVKorELrU2bNv/5b/7+/oyBXm3atEGTJk0EHNUPS5cuZX3grqamhrlz52Lw4MGc5pvlypXDzJkzf62BsB0pvH79erRo0YKCOhRQXFzcf66HysrKGDt2LCZNmsQ5ALBKlSqs6x3Fed6RlpbGmFhBVVUVK1eulHldzNjYGM7OznB2dkZiYiK8vLwY/x4irNOnTzPeNwOQ6PfuT2zBRioqKryfrvYntnkV19MfSrvw8HAcPny40DJzc3NMnjxZziMiP928eZP1uybL9zg+Pp51bYjL/Yss2NrPzMzEt2/fJFrjKWnYrqVcTtCQxffv31nrUGAjIYSULJSnWwZcHrJzPUpGFiNHjsSOHTt4vSkbMGCA2LL09HROWdQk5efnx5jCu3379go5UWQ7PmHp0qUyBzX+qXz58pgzZw7u3LkjdaBbTk4O5s+fz/iw2tjYGHv37oW7uzvnoMY/NW7cGN7e3oyLrd+/f5f5GJ3y5ctj7ty5uH37Ntzd3WUKavyduro63NzccOjQIcYHt5GRkYwLcmyYPkfa2trYtm0b70fe2traYv369YU+nOSKLQME8GMx1sfHR6pj5O3t7XH69GlUqVKFsd7nz5+xbds2iduXVsWKFeHl5cU5qPF3ZcqUwaFDh1gDTJiOri3tQkNDMWzYMCxZsoTxga26ujpWrFjBmBlDHC7HwnPNEkb+a+/evQgLC2OsM3LkSBw7dkyioMbfmZiYYNOmTayZTFavXi348Rg/tWrVCkeOHOEc1Pg7Ozs77Nu3jzFjZX5+/n8CDYTm7OyMPXv2SHWcU6dOnbBx40bGh70pKSm4cuWKDCP8wdjYGJMmTcLt27exZMkSNGzYkJcs4MrKyhg+fDhOnz7NmOknKSmpSB6gFZf3Z9myZYybYIAf7+HBgwcxZ84cmQNEdXV14eTkhIsXL2LLli1SB6p7eHgwBhtra2tjzZo1WLlypdT3MdbW1jhx4gRjwFhOTg6WL18uVfuSUlZWxrJly+Du7i5xQGvz5s0Zjy8G/pcJ/M9AH1tbWxw7doxTUOPvNDU1sWXLFtbrbmHBm5K6ePEi/vnnH8Y6PXr0wJkzZ6Q++lpXVxeLFy/GggULGDdU7dq1S26L+DY2Njh58iTnoMbfWVlZ4fDhw6wb3GheLJndu3ezBhl27twZBw8elPihoJaWFpYvX44ZM2b8p4yO+pTM06dPWTPUtWjRAufPn5f64bC6ujomTZqEjRs3Ms4hz549y5oFn/xw79491ixF2tra2LdvH4YMGSLxfNPc3BxHjhxBx44dGevl5eWx3g8TxaCmpoaNGzfCzc2N12zKxX3e4efnx7jZZcqUKbxv9jU2NsbEiRNx69Ytqf9NiPTS0tJYT8wwNTWV6TkK2/zH2NhY8KOL2TIAZ2ZmCp7JrLjLy8vDwoULxW44X7x4sWDJDQiz/Px81tPr1NTU0KVLF6n74LJZSugAZS6ZvEv7pi62U2/Cw8MF7Z/LaXSl/T0ihJCShgIbZaCvr48yZcow1mE7wlZWzs7OmDNnDu/HMzs5OUFTU1NsOR8Pfv7E9iDexcWF9z75wBSYYWVlhR49egjWt46OjtQ3cYcOHWIM3NHR0cH+/fvRsmVLaYf3S9myZXHgwAHGhyZnz56V6eHbpk2bMGLECKkDMNnY2dlh9+7djEcDy/LALTQ0VGxZz549WQP7ZCHtg/b4+HixOyd/MjU1ZX3v2fz8/LCN8/Dhw3K5WTEzM4OXl5dUQSI/GRsbw9PTk7FOUFBQqb75EolESEtLQ1xcHCIiInD+/HmsXr0anTt3Rr9+/eDn58f4ejU1NWzZskXqDBZfvnxhrSNUZqyS7uvXr6yByBMmTMCcOXNkPo5dSUkJs2fPZpxDJCUlsV7L+NCiRQvs3LlTpoCsevXqsR43K0uQvaScnZ2xcuVKqKpKnwS+Q4cO6N27N2MdPv4mDw8PTJ06lZfs0IWxsrLCoUOHoK+vL7aOEPNnJsXl/QkMDMSFCxcY65iamuLo0aMyHUtWGCUlJXTq1EmqbA9XrlzBgwcPxJarqqpi06ZN6NWrlyxDBPAj89auXbsYf9MePnzImEWeL0uWLEH//v2lfn2HDh1Yj/z985jj6tWr4+DBg6xHr4qjpaWFxYsXM94z37p1izUDOZP09HSsXLmSsU6vXr3w999/85K51dXVFdOnTxdbnpubi507d8rcD5saNWrgyJEjMm1ArFy5MmbNmsVY59atW4xHVpP/SUhIwMGDBxnrNGrUCOvWrZPp92HcuHEYNmyY1K8v7QoKCrBkyRLGYNCmTZti586dvGzw7dKlC+s1asuWLTL3UxqwBeirqKhg06ZNMmWOVFNTw4YNG1jnPcHBwbhx44bU/RD5WLZsGTp37sxrmyVh3sG0Dqqvr4+RI0dK1J4k1NXVGe/biDC2b9+Ob9++MdYZOnSoVJuTf0pKSmIsF2o9QNI+2MZZ2u3fvx8vX74stKxLly68n5BHuPPy8mJNBuDk5ARDQ0Op+2D7fujq6vK6UaAwmpqarBs5S/v3uFq1aozlSUlJiI6OFqTvqKgoTv/+pf09IoSQkoYCG2VUvnx5xnIhAxvLly+PBQsWCNK2gYEBYyay0NBQRERE8Nbf9+/fGXeZVqpUSaoMEPLAFIwnS8p1IaWlpWHv3r1iy5WVlbF582besh4CP27q169fL/bhSW5urlwCS2TRuHFjDB06VGy5v7+/VN/5rKwsxMfHiy1ne/hbVPbv38+4uxoAVq5cyXqd5KJ8+fKsi7bZ2dk4cOCAzH0xUVJSwpo1azjt2mPTpEkTdOjQQWx5QUEBHj16JHM/isLV1RU1a9bk/D9ra2vY2dmhVatW6NWrF2bPno39+/dzuiGuUKEC9u7dW+jxZVyxfZeVlZUF3x1aUm3fvp0xOKFnz56MD02ksWDBAsbftCNHjsgU0MLG2NgYq1evlimA4KexY8cyXoPevXvHKTBXVlWrVsWiRYt4acvd3Z1xUTIgIKBYBLRYWVlh2rRpYss/fPiAoKAguYylOL0/f//9N2P5z3mplZWV1H3wraCggDUAZMmSJWjdujVvfWpoaGDTpk2MD6eZjufkQ/v27XnZbObm5sa5rpqaGtauXSvzQ3lbW1vGOXVqaipCQkKkbv/IkSOMD2qbNGmCFStWSN1+YcaOHcv4GTt//rygxz9paGhg/fr1vARMODk5MWZOTU1NxbNnz2TupzQ4duwY4z2atrY21q9fL/PmEQCYPXu21Jm1S7vLly8zPhSuXr06tm7dyutDW0dHR8Zr+OPHj8UGEZAfbt++zfpvNHLkSF5+/38GN7Jt3t2xY4fMfRHhdOjQAU5OTry3WxLmHUzr6S1bthQ8aIXIV2hoKOvGC0NDQwwePFimfrgERAmNSx8UbCPe+/fvsXXr1kLL9PT0BHseSth9/vwZ69atY6yjpqbGuiGbTXJyMmO5PL7HXPop7d9jGxsb1joPHz4UpG+uz8zS0tIEXe8nhBAiXxTYKCO24Ba2I9VksXjxYkEncUzHUQP8Zp05d+4c4wPRfv368Z6Vki9MRwfwEdAlhFOnTjFOvPv27ctLpsY/NWrUCN27dxdbfvHiRYUPXJg0aZLY751IJGLM3CMO0xGGwI8gLUWTk5ODM2fOMNbp0KEDrw/0HRwc0LZtW8Y6Pj4+gn6GBgwYwOvR8mwL3HQcmGSMjY0xfvx4XLx4Uaqjz3/Hli3TyMhIpl3kpVV8fDzOnj0rttzIyIi3YKzfaWhoYO7cuWLLExMTcfv2bd77/cnDw4OXgGjgx9/SrVs3xjryuHasXr2at6N/TE1NGX8vsrOzBT/ChC8DBw5E5cqVxZbfv39fLuMoLu/P06dPERwczFhn9OjRCndU3D///IN3796JLW/RogX69evHe7+WlpYYPny42PK7d+8iISGB936BH8FQy5Yt46Wt6tWro3r16pzqjho1irfNVo6Ojozl0gYe5+TkMG6uUVdXx4oVK3gJJPudkpISPDw8xM5HcnNzcf78eV77/N2UKVM4v49slJSUWLPD0ryYXV5eHuspAmPGjJEpm/7vVFVVMX/+fF7aKm3YjuJcunQp9PT0eO931qxZjOuIPj4+vPdZkpw4cYKxvGzZspg4cSJv/ZmZmbFmlX7+/Dlj5jtSdHR1dQW5ty0p847iuJ5OpJORkYE5c+aIPVb4p6lTp8r828d2xLM8AqLU1NSgoaHBWIctcKs08/DwELtJx83NjfUEPSKMgoICzJ07F+np6Yz1XF1dUalSJZn6Ki6BjaX9e1y2bFnWE828vLwE6VuSdtl+FwghhBQfFNgoI7YjYXJzcwXZEVC7dm3WAB9Z1a9fn/Eh0oULF5CVlcVLX0xBkmpqanB2dualHyGIRCKxZWw37EWF6d9bR0eHMduQrMaMGSM2SPX79++sx8sWNV1dXbRq1UpsuTTjZ/oMAT8eUCmaO3fuMAbHqqmpYd68ebz3u2DBAsbF2eTkZNy6dYv3foEfGaNGjRrFa5utW7dmXLTjMzNuSVWmTBmMGDEC27Ztw927d+Hm5sbLAgdbwLG0x2GWdmfOnGGcF/GxkC1O06ZNYWtrK7b86tWrgvRbqVIldOnShdc2mTYJAMJfO+zt7Rn/LaXBFnBUXK6HKioq6Nixo9hyecxzitP7wxaAU61aNUyZMkWqtoXENJdWUVFhDKSW1dChQ8UGrebl5TFmwZeFk5MTL8eh/sSUtfonNTU1xmzpknJwcGCcR0qbqez69euM82JXV1dYWFhI1TabSpUqoVOnTmLLhfpt09XVxcCBA3lt09HRkXEzY3H5HShKfn5+jBm8ypUrx/vRns2aNVPYkyoUVXBwMGO2xq5duwoW0K+np8e4ifnatWus6xOl1bdv31izzsyaNYv12EJJDR06FFWrVmWsc+7cOV77JPzo27cvb4HkvysN8w5FXU8n0lmyZAnjpjDgR+YvtiQbXLCdLKSpqSlzH1ywbTJkG2dp5e3tDX9//0LL6tWrx/v9B+Fu8+bNCAgIYKxTvnx5XjZ40Pe4+GCLUXj9+jXr50ZSfn5+rMeh/47eJ0IIKTkosFFGbLuvAGF+OOUV6Md0Q5mamsrLgkVgYCDjzW27du0U+rhPQ0NDsWWKeIxPSEgIoqKixJY7OzsL+u9drVo1NGjQQGy5NBkP5Y0pa5E07znTZwhQzId4N27cYCx3cHBAxYoVee/XwsKCNQsk29ik1b59e94Xh9XV1RmP3WP6rpIf4uLicPv2bTx58oTX7wrbbzeX33/yX0zZGg0NDQXJcPa7/v37iy179OgRCgoKeO9z6NChUFbmd8pdu3ZtxuActocGsmLKGCet+vXrM5YL/Tfxiel3KiIiQvCAgeLy/uTk5LAG4Q0fPlzhjqGLjY1lPPamdevWgh7NamRkxBgUKNRcWtZj4f7E5diizp0783pfoqOjgypVqogtl3bexfTbpqKiwnsg2Z+YftvCwsIEySTRt29f3jNlmJqawtzcXGx5cfodKCrXr19nLHdychLkQSA9ZJYM0zUDgMzH97FhumbEx8fj1atXgvZfXN2+fZtx06mxsTG6du3Ke7+qqqqMR4gDwM2bN3nvl8hOqLX7kjLvMDAwEFumiOvpRDonTpxgzeSprq6O1atX83IqCluCEVVVVZn74IKtHzoa9b/i4+OxZs2aQstUVVXh6enJ+9oa4ebu3bvYtWsXYx0lJSWsWLGCl3tE+h4XHz179mSts3TpUt5OWMvJyYGnp6dEr6H3iRBCSg6aCcqIS2ADX1kNf1JVVUWPHj14bVOcHj16QEdHR2w5H8dRs2VqYVowUQTGxsZiy65fv474+Hg5jobdnTt3GMuFWIj9k729vdiyJ0+eCN6/rJiOho6OjpZ4oq6urs5403f8+HFBgm1kwfRAHwDrUXKy6NWrF2O5UNmwmDJwyaJmzZpiy1JTU5GWliZIvyVJdHQ0Dh48iH79+mH48OFid/dKgu23W9ECbYqDDx8+MAaNdOzYkffjsv7E9PuTlJQk0Y5ProS4dqiqqsLKykpseWxsLO99/qShocEaYC6NChUqQF9fX2y5kH8T35jmCRkZGfj06ZNgfRen98fPzw8ZGRliy/X19VmzkxaFe/fuMc7L2I6K50OTJk3ElgUGBvLeX9WqVRmvOdK2yaZ9+/a89gmA8e/4+vWrxO1lZmYyZiBo0qQJr5kuC9OgQQOxv58FBQWCfCaKYl5cnH4Hisrjx48Zy4W6pjZv3lzwz3lJcu/ePbFllStX5hT4LYvKlSszZpHjO6tKScG2BuLo6CjYg/bu3bszth0TE4PIyEhB+ibSsbGxYfxNk1ZJmncwracHBgZSkHUJ4OfnhxUrVrDWmzFjBqpXr85Ln2wBLHwET3LB1g8F2vzXsmXLxB4Z6+rqCmtrazmPiADA27dvMWPGDNZnU0OGDEGLFi146ZO+x8VH7dq1Ua9ePcY6b9++xfr163npb/369RLPeel9IoSQkoMCG2XE5QE83z+c1apVY83wxhcdHR3GXRdBQUF4+/at1O0nJyfD19dXbHnFihV5mxALhemov7S0NMyYMQPp6elyHBGz+/fviy0zMzNDw4YNBR9Do0aNxJa9efNG4SebZmZmYsvy8vKkeujG9Dl69uyZ2B2LReH9+/eMAbt6enpwcHAQrP+2bdsyHlUbHx+P6Oho3vsV6rvBlDkIABITEwXpt6R6/PgxXF1d4eHhgczMTKnbYTv6SF67Q0sSpt8fAIxHWvGlcuXKjNdwvjPkVqhQAeXLl+e1zZ+Yrh1Mx1DKytbWVrAAVEtLS7FlQv5NfGPLMPf582fB+i5O7w9bgEDPnj1Zj/4pCkzXMjU1Nbkcycp0RGlSUhK+fPnCa39sGTulUalSJdY6TFnepVW5cmWxZSkpKYzZuArj7+/PuKlJHr9tWlpajIFQfGc9UlNTQ926dXlt8yem37bk5GSFv08sSrGxsfjw4YPY8ho1aqBatWqC9K2qqoouXboI0nZJ8+bNG8YganlcMwDmNRnKlFY4tmAtITegm5qaolmzZox1nj59Klj/RHJCHSdfkuYdTOug+fn5mDFjhsIlCyDcRUdHY9q0aaxzt/bt22PEiBG89csWfKUoAVGKlsCgqN24cUPsM0Jzc3NMmTJFziMiwI9nEuPHj2dNulC3bl3Mnj2bt36Ly/eY7dlBaTF58mTWOgcOHMC2bdtk6mfbtm04cOCAxK+j94kQQkoOeiovIy6Z2fjO6iT07u0/DRw4ECdOnBBbfurUKcyfP1+qts+fP8943Ge/fv2gpKQkVdvy0qxZM2zcuFFseUBAAJycnDB37ly0bdu2SP+enJwcxh2vNjY2chkfUyaj3NxcvH//XrCHLsCPm6OvX7/i27dvSExMREZGBnJycjg/KPv+/TtjeXx8vMRHFjdr1ozxAf+BAwcQERGBuXPnFvkORbbAn7p16wqazU5dXR22trZ4+PCh2DoRERGMARiSMjU15f0Y6p+YgjSBH1kbS4KRI0dyys70u4KCAqSlpSEtLQ3Jycl49eoVXr58ySlY/NSpU3jy5An27dvHeKyhOGyfYb6OUChNnj17xlhep04duYyjQoUKYh+Q8J2xUYhgoJ+Yrh1CXjdK4t/0J5FIhLi4OMTHxyMxMRFpaWkSzRPYCPmArji9P+Hh4YzlTFkJi1JoaKjYMktLS96P5y0M2+/amzdvGOfbkhLic6WmpgZ1dXWxv6dlypQRJDCc6TQCkUiEtLQ0iTYRKtJvW0hISKFlb9684bWv2rVrczq5QhpM1xmRSIT09HS5bfIsbtgCSYQKsvmpYcOGOHbsmKB9lASKdM0Qh+9rRkmQlJTEuIFVQ0ND8LXaRo0aMW6u4HuDFpGNUJ8HRbqGyDrvaNq0KWP527dv4eTkBHd3d9aspUSxJCQkYMyYMUhKSmKsV6lSJaxatYrXvtk+J5JuYpIWWz/0ef6ftLQ0xqNlFy1aBG1tbTmOiAA/ThsZP348Pn78yFjP0NAQmzZt4vVZUHH5Hgt96lBx0bp1a7Rs2RIPHjxgrLd582YkJCRg5syZEq2bpaWl4e+//2aMUWBCp24RQkjJQTNoGTEF5f3E96K/vAMba9asiQYNGiA4OLjQ8vPnz8Pd3V2qCYK3t7fYMlVVVfTp00fiNuWtXr16qF69OuPCzfv37zFhwgRYWlqiT58+6NSpE69BV1y9fv2a8aE830fMiWNkZMRYHhMTw2tg45cvX3Dv3j0EBwcjPDwc79+/FzTbB9vCTWF69uyJzZs3M47r8ePH6NWrFxo3bgwnJye0bduW8egWobAtUtaqVUvwMdSqVYsxsPH169e8Zg0RKuMawPyAHSg5AXRt2rThJUhFJBIhLCwMp0+fxqVLlxiDHKOiojB8+HAcPXqU8bi1wmhqajKWl5T3RZ6YHrgbGxvL7XrGFBDB9zGXRXXtEPLzWRL/psTERNy9exdBQUEICwtDVFQU63H0spBmnsBVcXp/2IJw2I6zKQrfv39nzLQlr7m0hoYGtLS0xGYmjomJ4bW/cuXK8dreT9ra2mI/O0L2yUTSzzLT51hJSUlun4nS8NsG0PyLCds9mhBHov6uqDffFRdsv31CbvD8HdM1g+/fkJKAbfNTjRo1BA9SYVtn4XuDFpGNUGv3JWneUaZMGbRu3Rr37t0TWyc+Ph5z5szB+vXr0adPH3Tu3Jl+bxRcamoqRo8ezZhFGvixBrR7927o6+vz2j9boJG8MndRQBR3a9asEXvd6Ny5M9q0aSPfARHk5ORgypQprMH0mpqa2LFjh1QJBZjQ97j4Wb58OXr06MG66fn48eP4559/MGXKFHTp0gUGBgZi6yYnJ+PatWvYsmWL2A3iqqqqrO+TUJsyCSGEyB8FNsqIy0NPtuAISQn5IEGcAQMGiA1sTEpKgq+vr8THrgQHBzMuvLVt25bxuEhFoaSkhIkTJ8LNzY21bnR0NNatW4d169bBysoKzZo1g729PRo3biyXgI53794xlsfHxzMGm/KF7eaDj4dvmZmZuHjxIk6ePMmaEYhv0gRDlCtXDn369IGXlxdr3SdPnuDJkydQUVFBvXr10KRJEzRp0gT169eXy5GNbMcbyiOwsXbt2ozlTEEH0mC6yZIV2wN2OnLv35SUlGBrawtbW1tMnz4dixcvxvXr18XW//DhA0aNGgUfHx+JbmTZ6mZkZHBui/wISI2KihJbrq2tLZffH4A56y7fwR9Fde0Q8rpRUv6mvLw8+Pr6wsvLC4GBgXI9CkrIoMni8v78zIQpTrly5SQOSJcHtrl0enq63K5lTAEUxeVapq2tLTbQl++HnD+xzZUl/SwzfSZ0dHRw+fJlidqTFtMR98Xl8wDQvFgWbNlUhA4EqVKlCjQ0NDht/i3N2H5HAgICxK698YlpLe7bt2/Iy8ujbFK/KQ5rIGxjJPIl1Np9SZt3TJo0iTGw8fc2t2/fju3bt8Pc3BzNmzeHvb097O3tBdsMQySXlZWF8ePHswbx6+joYM+ePahSpQrvY2D77ZLXXJICorgJDAzEqVOnCi3T1dXFggUL5DwiUlBQgNmzZ7Nm31NTU8PmzZvRsGFD3sdA3+Pip3z58li7di0mTpzIur4aHx+PRYsWwdPTEw0bNkTNmjVhamoKfX19pKSkICEhAa9evUJQUBDrezBu3DjWI64psJEQQkoOWqWSUUJCAmO5pqYm74uBbMeWCqFr165YuXKl2AdPp06dkjiwUdxNy0/9+/eXqL2i1K1bN/j6+uLatWucXxMZGYnIyEgcPXoUwI+j6+rXrw87OzvY2dkJssuWbef9hQsXcOHCBd77lRTTg242IpEIp06dYtzJIzRpM4nMnDkTfn5+iI6O5lQ/Pz8fQUFBCAoKwo4dO6CqqoqaNWuiYcOGaNiwIRo1aoQyZcpINRYmcXFxjOWVK1fmvU9J+2Abo6SEfIDLdvy7SCQSrO/iztjYGFu2bMGuXbuwfv16sfXevHmDTZs2Yfbs2ZzbZsssy/b7T/4tISGBceHp06dPWLhwoRxHVDhZfn8KU5TXDqGUhL/J19cX69atw/v37+XS35+EzDhWXN4ftg0IQjzk4gPbXPr+/fuMx0TKC9/XMqGCDJk+U0J9lvmedzF9JtLS0ui3TUI0L5Ye2/2P0CdGqKiowMLCAm/fvhW0n+KO7fdv6dKlchqJeAUFBcjMzCyStUdFxfb9qlSpkuBjMDMzg7a2ttgNdkW1/kX+S1lZmTUDsbRK2ryjfv36GDlyJPbv38/5NZ8/f4a3t/evzUTly5dHgwYN0LBhQ9jZ2cHa2hrKysoSj5vIJicnB5MnT0ZgYCBjPU1NTezcuVOwY9PZNskwnfrCJ7Z+6GjlH58ZDw8PsfN7Nzc3hdzsWBghNjfq6OigW7duvLfLRCQSwcPDA1evXmWsp6ysjNWrV8PBwUGQcSjK95jt94y+x//Wtm1bLF68GEuWLOF0356Xl4eAgAAEBARI1V+fPn3g6OjIGNiopKQk2HoWIYQQ+aPARhmxLRwJMfnW1dXlvU02GhoacHZ2FrvQEBAQgKioKM4PIdPS0hgnyObm5mjZsqVUYy0qK1euRExMDEJCQqR6fXR0NKKjo3Hu3DkAP47kaNWqFTp16oTmzZtLddT3n/gO9hKKtFke4uPjMXPmTPj7+/M8IslIm/VJX18f27dvh6urq1RBU3l5eXj+/DmeP3+OI0eOAACqV68OBwcHdO7cGba2tlKN609M2c4A+Vyj2PpITEzktT8+vn9EOOPGjcOXL18YM54ePHgQPXr04JxNg23Xf3p6OrKysnjPylxSFZffH74z6ZXEa0dx/pvS0tKwYMECiTaiCEHI7JDF5f1hm+co6sIjXcvkpzh8lpOSkopFdrqS8Hkg7L59+8ZYLo8gNQqEY1ecfkfo/fwftjUQef1b6erqig1szMnJQVpaWpGsGZN/09HREWTDVkmdd7i7u+PDhw+4ceOGVP19/foVX79+xZUrVwD8OCa7RYsW6NixI9q0aSOXk21Ku/z8fLi7u7Nu8PqZ4c3e3l6wsTAdkw7IJyAqMzOT9bQqtnGWBtu3bxebhdbW1haDBg2S84ikJ0RQubm5udwDG1euXInTp0+z1lu6dCkcHR0FG4cifI+59CPkhr/iasCAAdDU1MTChQsFzazZo0cPLF++HEFBQYz1DA0NKbMmIYSUILR9TUZsWTtKSmAjALi4uDAuzEiyM+nChQvIzMwUW963b99it7tSW1sbR44cgbOzMy/txcXFwcfHB+PGjUOrVq2wcuVKxqM+uJDXpF9W0mQyio6OhouLS5EHNcrKysoKPj4+qFu3Li/tvXnzBnv37kW/fv3QuXNn7N+/X+asLWwLqfK4RrE9OBDymE+imObMmQNjY2Ox5fn5+RJlAeBynJGs1+TSpCT//pDi4du3bxgyZEiRBzWSH9h+pxU1mKK4XMvouF75KC6fB/ptKx2YrqsaGhpyOVZYqAxlJYm4oDRFQ9eNf1OENRCA1kGKC6E+DyV13qGiooItW7Zg/PjxvPSflJSEy5cvY/r06WjevDkWLlyIN2/e8NI2+S+RSIT58+fD19eXsZ6KigrWrl0rWIa3n9gColJSUgTtn2sfpT2w8fXr19i7d2+hZSoqKvD09Cx2zwaLuw0bNuDQoUOs9ebOnSv4SXuK8D0GgNTUVMby0v49Fqd37944fvw4KlasyHvbysrKmDJlCtauXQtlZWXWZzNmZma8j4EQQkjRodmhDBITE1mzjXAJjJBUUR09aGlpiaZNm4otP3v2LOeHaExBkKqqqujTp4/E41ME6urqWLlyJXbv3o0aNWrw1m5SUhIOHjyITp06YdGiRazZGMQpLouckh4x9u3bN4waNarEBBmVK1cOJ06cwMKFCxkDtSQVHR2N1atXo23btti7d6/UDysUYVGfbUG/OOxiJ/zS1tbGyJEjGetcvXqV8/XTwsKCtQ4dtcddcfn9ISVTZmYmxo4di5cvXxb1UMj/Y7smKGrGxuJyLaPjeuWjuHweSOnAdP8jr6AryhTHLDs7u9hcn4vLOOVFEdZAAFoHKS6ECsYpyfMOZWVluLm5wcvLCw0bNuSt3YyMDHh7e6NHjx6YOnUqPn78yFvb5IclS5b8On1KHCUlJaxYsQJdu3YVfDxGRkaM5dKckCQpthPegNIdEFVQUMCYzW3YsGGcT9sh/Ni9ezd27tzJWm/KlCkYMWKE4ONh+x7n5OQIHtz4/ft31mfdbOMszWxtbXHp0iVMmDCBt8zJNWvWxJEjRzB58uRfMRJsz4PNzc156ZsQQohioKOoZcBlt1/16tXlMBL5GThwIB4/flxoWWJiIm7cuMF6kxoWFoYXL16ILXdwcBAk06U8OTg4oFWrVvD19YWPjw8ePnzIy7GDeXl5OHnyJHx9fbFixQp06NBB4teXRPPmzcOnT5841VVXV0fdunVhY2MDS0tLVKxYEaampjAyMoKWlha0tbWhoqLCmNHi06dPaN++PV/DL5SamhqGDh0KJycn+Pj44MyZM4iIiOCl7ZSUFKxduxYXLlzAhg0bYGVlxUu7PxVV8DUhXbp0wd9//y22PDc3F7du3UK/fv1Y2+KyiPbmzRt07txZojGWViX194cUD6tXr0Z4eDinuioqKqhduzbq1KmDqlWrwsLCAiYmJjA2Noa2tvaveQLbUSY1a9bkY+hEwdC1jPyOPg9EkTCtN8gjW6M8+ymuKJtuySWvNRAKOC3dSsO8o0GDBjhx4gTu378Pb29v3Lp1i5drp0gkgq+vL+7du4f58+cLnm2stFi1ahW8vLxY63l4eMDJyUkOIwLKly/PWJ6amors7GxoaGgINga2DdXGxsbQ1NQUrH9Fd+TIETx79qzQsgoVKmDKlClyHlHpdvjwYaxbt4613qhRozB58mQ5jIj9ewz8CFIWckMsl8QIXMZZmmlpaWH69OkYPnw4vLy8cP78ebHHzzOpW7cuhg0bhm7dukFFReVfZR8+fGB8bbVq1STujxBCiOKiVUcZPH36lLWOjY2NHEYiP+3bt4eZmZnYnWfe3t6sgY2nTp1iLHdxcZF6fIpEWVkZXbt2RdeuXREbG4sbN27Az88PAQEBSEpKkqntpKQkTJ48GUuXLpXo30tdXV2mfhWRr68v7t69y1qvadOmGDRoEFq3bi3zLiF5Libr6upi2LBhGDZsGCIiInD79m34+fkhODhY5t34r169gouLCw4ePIg6depwfh3b4k9qaipvO7GY+mAi5AIVUVwWFhYwNzdn3K0XFBTEKbCxcuXK0NHRYTzuKTg4WKpxlkYl8feHFA9hYWE4ceIEa706depg8ODB6Nixo8zHINNDZ3ZsD3LkdbSQpOhaRn5HnweiSJg+j/I6vrS4HJNaVOiaUXxxWQORh7S0NMZyWgcp2UrTNaRVq1Zo1aoVvn//jlu3buHx48fw8/PjlAmPSWZmJjw8PPD582e4ubnxNNrSacOGDThw4ABrvVmzZmHw4MFyGNEPXI4+/fLlC6pUqSLYGNgyiAlxPGtxkZWVhY0bN4ot9/DwgLa2tvwGVMqdOnUKf/31F2u9wYMHY/bs2XIY0Q86OjowMjLC9+/fxdb58uULqlatKtgY2L7HJiYm9FnlyNDQEOPHj8f48eMRGRmJgIAAhIWFITo6Gl+/fkVycjKys7OhpKQEHR0dlClTBtWrV4etrS3atm2LypUri22bLREMBTYSQkjJQoGNMhCXufB3tWvXlsNI5EdVVRX9+vXD9u3bCy1/9OgRPn78KPYIz/T0dFy6dEls+xUqVECrVq14GasiKVu2LAYPHozBgwejoKAAr1+/RmBgIIKCgvD06VPExMRI3KZIJIKnpyfMzc3RsmVLTq9he4h87ty5Ypfqf9u2bYzl2traWL58ORwdHXnrk20xWSjW1tawtrbGhAkTkJ2djWfPnuHp06cICgpCcHCwVIvpqampGD9+PE6fPo1y5cpxeg3bYnlaWhrKlCkj8VgkwfYelOadr6VdrVq1WAMbuVBSUkKdOnXg7+/P2FZeXh5lp+GA7Tvp6uqKBQsWyGk0pDRhmyeoqqpi1qxZGD58OG99yuvhdnHGtgFCUf8N2a5l27ZtkzijOim+2D7H7du3F3vfTAjfmO7RMjIyIBKJBM8qV1T3ycWFuro6VFRUkJ+fX2i5tbU1zp8/L+dRES64rIHIA62DlG6lcd5hZGSEPn36oE+fPgCAyMjIX+ugT58+Zc3UJM7OnTtRsWJFTpteyX/t2LGD87G1o0ePlsOI/kdbWxvGxsZITEwUW+f9+/eCBja+f/+esbw0Bzbm5OQgIyOj0DJzc3N8+/YN3t7evPUXHR3NWP78+XPW/hwcHAR/zlEUzp07h8WLF7NuzO3Tpw88PDzkNKr/qVixImNg4/v37zk/E5UGfY+FYWVlBSsrKwwcOFDmtnJzcxEZGclYx9raWuZ+CCGEKA56Ei+llJQU1kxNVlZWMDIyktOI5Kd///7YtWtXoYuxIpEIp0+fFrvr8fLly2JvXoAfE2VlZWXexqqIlJWVfwWoDRkyBMCPHUD+/v54+PAhHjx4wDmjY15eHmbNmoUbN25AR0eHtb6hoSFj+adPn4pVYGNoaChevXoltlxNTQ2HDh2Cra0tr/0mJyfz2p40NDQ0YG9vD3t7ewD4FTDr5+eH+/fvIyAgADk5OZzaio+Ph4eHB/bs2cOpPtt1TR6L+mwBD8bGxoKPgSgmtuvc169fObfVsmVLxsDGjIwMPH36FE2aNOHcZmnFdt349OmTnEZCSpP4+Hjcu3ePsc7GjRvRsWNHXvtVhHmCojM1NWUsV9SMjVzm0qT0MDAwYCynzwORJ6bPY0FBAdLT06GrqyvoGEpiYCPXe2quDA0NxR5tR9cMxaUIayAA8zqIurq64N9xUrRo3vG/gIifR0knJCTA398fjx49wt27dyXK6Ojp6YmWLVvSUaISOnDgAGPGvZ9Gjx4tt2Nr/1StWjUEBASILY+KikKbNm0E658tmI4yiBXu8+fPWLhwoVz7vH37Nm7fvs1Y5/Dhw6yBjUzPpxTR1atXMX/+fBQUFDDW6969O5YvXy745qjCVK9eHWFhYWLLo6KiBO2fvseKLzQ0lPFezdDQEDVr1pTjiAghhAitZEeQCejSpUvIzc1lrNO2bVs5jUa+ypcvj9atW4st9/HxQV5eXqFlJ0+eFPs6FRWVUrtT0tzcHM7Ozli3bh0ePnyI/fv3w9HRkVMWsMTERBw5coRTPxUqVGAs//jxI6d2FMXNmzcZyydPnsx7UCOgmAELPwNmhw8fjn379uHx48dYs2YNGjVqxOn19+7d45zJju1mXh6fI7Zd2SVxJyXhhi3oJDs7G1lZWZza4rLQefnyZU5tlXZsDwtKw0MYIn937twRmxUJ+LFZh++gRkAx5wmKhi1LNNsiclEpaXNpIhstLS3GYBf6bSPyZGZmxlgeFxcn+BhkPSJUHLaHqWyZZmTBddMpV0xz4rS0NMbMNKTosK0vSJs1ThIJCQmMG8XZrgGk+KN5x3+ZmprC0dERK1aswP3793HixAn079+fNbsl8CNwvaRluBTa8ePHsWrVKtZ6Q4cOxaxZs+QwosKxnaD24sULQft//vw5Y3lJO+GNFC83b97ErFmzGNfKAKBjx45YvXp1kSWhYUu+IvT3mK19+h4XvSdPnjCWN2rUqEiCcgkhhAiHAhuldPr0adY6JTWwEQBjquj4+HjcuXPnP/89IiIC4eHhYl/XunVrlC1blo/hFWuqqqpo0aIF1q9fj+vXr3M6zu748eOc2mZLka6oD5HFefr0qdgyDQ2NXxkx+VYcHlrr6uqiV69eOHbsGI4fP44aNWqwvobr54jtob7QN5Zc+qAd16UXlwebXIOOatSoAQsLC8Y6vr6+yM7O5tReafbzOCBxPn78yLqoRoikAgMDGctHjRolSL/FYZ5Q1IyNjaGnpye2/OvXr4iNjZXjiLgpaXNpIjumz0R6erpggV6E/Int/kfoTDIJCQlISEgQpG0VFRXGcq6blqTBd2Aj2+8I27F3pGiYm5szlr98+VLwMbCtgbCt05CSgeYd4ikpKaFhw4ZYtmwZbt269SurI5OzZ88yBgyT//Hx8YGnpydrvX79+mHBggVyGJF4bAFHbIGHsoiLi2P9HlJAFCkq9+/fx/Tp01kT9rRu3Rrr16/nlHRFKGzfk5cvXwq2jpyXl4eIiAjGOsXp1LuSii3baosWLeQ0EkIIIfJCgY1SuHPnDusNUIUKFdCwYUM5jUj+WrVqxbiYcurUqf/8Ny8vL8Y2XVxcZB5XSWNubo5t27ZhwIABjPViY2MRGRnJ2h7bDcGjR48kGl9RY/qbW7VqJdgxPFwzGyoKOzs7nDhxAnXr1mWs9/jxY07tsQVJst348YHtwQGXQE5SMnF5+Mj2cPR3zs7OrP2dPXuWc3ulGdNvUGZmJoKDg+U4GlIaMM0TatWqBUtLS0H6LW7zhKLCthD87NkzOY2EuypVqjBmgHn69CkFu5cybPdXDx8+lNNISGlnZWXFWC70PZqQ7aurqzOWp6enC9JvRkYGUlJSeG2TrhnFU/Xq1RnLX79+LfgmLVoDIQBdQ7gyNjbGsmXLMHPmTMZ6ubm5rBmfyI+TyxYuXMi6kbhnz57w9PQs8gxZbKcXvXv3TrDNGP7+/ozl5ubmlNiDFAl/f39MnjyZ8eheAGjatCm2bt3KOv8WWt26daGhoSG2PCMjQ7Ag5dDQUGRmZoot19DQQJ06dQTpm3ATGxvLuGaooqKCzp07y3FEhBBC5IECGyWUn5+PTZs2sdYbOHBgkaXplgdlZWXGQMT79+/jy5cvv/5/ZmYmLl26JLZ+uXLlGI+3Lu0WLFjA+vCdLSsR8ONoGqZMDh8/fuQUIKkIMjMzkZiYKLa8WrVqgvVdHINvdHV1sXbtWqipqYmtk5CQgKioKNa2rK2tGcvDwsJYd/7JIjc3F2FhYYx12MZISi4ux7dpa2tzbq9Pnz6sO1T3798v6Ge+pLC1tWUsZ9tpSYikfp+L/oktAEQWFNjIDdtCcEBAgJxGwp2KigpsbGzElmdmZsLPz0+OIyJFje23rbCTDAgRAltQk9AZ5YTM2s+U4RcA78GHPz179gwFBQW8tknXjOLJ0NAQ5cqVE1uelZUl+MkVbPNLWgMpHegaIpmxY8fC3t6esQ7TaUAE+OeffzBnzhzW38POnTtj1apVCvE8zNzcHJUrVxZbLhKJBEvuwNYuZRAjRSE4OBjjx49nzXJuZ2eHHTt2MAYUyouGhgbs7OwY6wgVzM/2PW7UqJFC/BuVZj4+PozB9k2bNoWJiYkcR0QIIUQeiv5Oo5jZu3cv62KVhoYG+vbtK6cRFZ0+ffqIDZIqKCiAj4/Pr/9/5coVpKamim2rb9++EmXQKm3U1dXRr18/xjpcjxtp1qwZY/nNmzc5j6sosWVlMDU1FaTfZ8+eMQZUKrIqVaqgefPmjHW4fI4qVarEuLs0OTkZ9+7dk3h8XN29e5fxKGEzMzPBsnARxRceHs5YbmBgIFFgY9myZVl3+L1//x6HDx/m3GZpxXb9uXXrlpxGQkqLtLQ0sWVmZmaC9BkbGyuXzMUlQcuWLRnLL1y4IOjxotIqKXNpwg+237YHDx6wZsUg8sH0oD0vL0+OIxFGjRo1oKOjI7bcz8+P8XdRVtevXxesbbaHUlw250lDiI0KDRs2ZLwXCQsLQ2xsLO/9lhRs64ZCfpfZMoAxbeaWVWJiIuvD+8aNGwvWP1EcNO+Q3KBBgxjLS/Px3Wzu3r0LNzc31mtr27ZtsW7dOoV6tsP2Xfnnn3947zMvL491XYsCG4m8PX/+HGPGjEFGRgZjPVtbW+zevVuiNXOhFcX3GAB8fX0Zy+l7XLTy8vJw8uRJxjqlIT6DEEJKIwpslEBQUBC2bt3KWm/o0KEwNjaWw4iKlomJCTp27Ci23MfH59duPm9vb7H1lJWVaaLBAdvR5lyylAFgfM8A4MiRI8XiCD227GhC7RAt7sFLfH2O2G4sL1y4wHlMkmJrm21spOSKiopCXFwcY51KlSpJ3O6UKVNYF2i3bduGjx8/Sty2UAoKChTugYadnR3j/Ojdu3cUEER4xTRXEGqecOzYsRIRICMPjRs3ZgzCSU5OxsWLF+U4Im7Y5tIXLlygB6SlSIUKFRizeKampsLLy0uOIyLiMGWuV8QgakmpqKgwBl5lZ2cL9vDv/fv3rBn1ZcF06gQAvHr1SpB+hZiXamhoMAb2i0Qi7N+/n/d+Swqm7zEg7HeZ7SH25cuXBTuO+sqVK4zz2vLly6NKlSqC9E0UC807JMfXOmhp8/jxY0yZMoV1/b1FixbYvHkz6/VZ3rp06cJYfvfuXcYkHNJ48OABkpKSxJZra2uX+hPL9PX18erVK7n9z8nJiXE8kydPZm2jSZMmcvrX4d/r168xcuRI1s+6tbU19u7dC11dXTmNjBu27/Hz58/x7t07Xvt88+YNXr9+zVinU6dOvPZJJOPt7Y2YmBix5ebm5nQMNSGElFAU2MhRVFQUJkyYwBokYGJiggkTJshpVEVv4MCBYsu+fv2Ke/fu4c2bN4xH97Zu3Zp1oZoARkZGjOVcA1hatmzJGFgSFxeH48ePSzS2osCW7l2IrIqxsbGsO7YUHV+fow4dOjCW3759W5BME1++fGE9rpYt4ICUXJcvX2atU79+fYnbrVKlCutiWHp6OqZPn64QwYSZmZmYNGkSa5CnvCkrK8PR0ZGxzubNmxmPkiBEEpqammLLhJgnZGVl4dSpU7y3W1Kpq6uzLlQfPnyY9WGavNWsWRM1a9YUW56ZmYldu3bJcUSkqPXo0YOxfPfu3cjMzJTTaIg4TIHUQmYylKe2bdsylgu1+ez8+fOCtPuTgYEB4xpGSEgI7336+/vj+fPnvLcLsF8zTpw4QVkbxWD6HgPCfpfbtGnDGLgTHx+PGzdu8N5vfn4+a1YatvUZUrLQvEMyfK2DliZBQUGYOHEia+IDe3t7bN++Herq6nIaGXf29vaMpw1lZ2fzfu9+5MgRxvL27dsrVDY8UrJFRUVhxIgRjMG2AFCtWjUcOHAABgYG8hmYBCwsLNCgQQPGOkePHuW1T7bvccOGDWFhYcFrn4S71NRUbNu2jbHOsGHDFCqDMCGEEP5QYCMHz549w6BBg1gngQAwZ84chdvZIiR7e3tYWVmJLT916hTrAlz//v35HlaJxLaDlOvnTl1dnfXffNeuXQq/kG5gYABVVVWx5UJkjFixYoXCPVyXFNvnSE9Pj1M7Dg4OMDQ0FFuenZ2N1atXSzI0TlauXMm46GhoaAgHBwfe+yWKLzU1FYcOHWKtJ21Gz5kzZ7JmYw4PD8e8efN+ZSsuCrGxsXB1dVXYY50HDx4MJSUlseURERGMWZ4JkQTTQywh5gkbN26kjB8SGjBgAGP569evOWXMl7chQ4Ywlnt5ebHu8iclR58+fRgfUsbHx2Pnzp1yHBEpDNM8TpGybsuic+fOjA9xHj16BD8/P177/PbtG6c5uKxq1aoltiwyMhIRERG89rd3715e2/td+/btUaFCBbHl2dnZWLNmjWD9F2ds92NCfpeNjY0Zs20CwJo1a3g/AeX48eOsc4revXvz2idRbDTvkAxf6+mlRXh4OMaOHct6bG2DBg2wc+dOxs2ERUlZWZl1g/KhQ4d4CwIOCwvDgwcPGOs4Ozvz0hchbD59+oThw4cjISGBsZ6lpSUOHDig0KcPsn1vzpw5w9vG/piYGJw7d06m8RBh/fXXX4wnpFSsWJExGRMhhJDijQIbGRQUFODQoUNwdXXllNXF2dkZvXr1ksPIFIuLi4vYsrt37zJOBsuWLYs2bdrwP6gSiC1bgCQ7hQYPHsy4CPb9+3dMmjRJoY/kUlFRYXwY4Ofnx+uREmfPni322RoB/j5HampqrEfIX758GQEBAZzHxubhw4e4fv06Y52+ffsq5E5hIrwVK1YgJSWFsY6hoSFatWolVfvGxsZYtGgRa71Lly5h4cKFgh1DxuTu3bvo1asXQkND5d43V1WqVGHNqurp6YmgoCA5jYiUZExHz799+xZRUVG89eXv74+DBw/y1l5pYWtrC3t7e8Y6e/bsYcz+XhR69uzJmAEkNzcX48ePFyQzKFE8+vr6jPfEwI+NY9euXZPTiEhhypUrJ7aM7yPMioqxsTFr1saVK1fyuglnw4YNcsl4yXaU6JkzZ3jry9vbG/fu3eOtvT+pqKhg5MiRjHUuXbqEffv2CTaG4srIyIgxiCYyMlLQ/tkelH769Al79uzhrb/ExERs3ryZsY6trS3q1KnDW59E8dG8QzJ8rqeXdG/evMGoUaNY19NtbGywZ88e1iy6RW3IkCGMa8SxsbG8XLNFIhH++usvxjq1atWSeqM1IZKIjY3F8OHDGY/qBX4c13vw4EGUKVNGTiOTTq9evWBiYiK2PDMzE+vWreOlr7Vr1zJuUDE1NS2Vz/8Vhbe3N+s93+zZs+nZICGElGAU2ChGYGAgBg0ahL/++otTcJe1tTWngIeSyMnJCVpaWoWW5eXlMd4M9+nTp1inhf748SO8vb0Fz+KXn5/PejyCJAuZZcqUwahRoxjrhIWFYfbs2XI7kiM7Oxt3796V6DV169ZlbG/Hjh2yDgsA8OLFCyxfvpyXtgrz4MEDPHz4ULD2f4qJiWE8xllXVxeVK1fm3N6IESNYd+bOmTMH375949ymOLGxsZg7dy5jHQ0NDYwYMULmvkjxs3nzZpw9e5a13oABAxiPD2PTtWtXTjszfXx8MHr0aE6ZnvmQlJSERYsWYdy4ccUiW5y7uzvj+5Cbm4vJkyfLNcggICBAbu8XkR+meQLwI8MiHz5//oxZs2bRMepSmjlzJmN5fn4+pkyZgujoaPkMiANNTU24ubkx1vn8+TMmT54styNu8/PzFTZbb2kwYcIExmzmIpEIc+fOxdOnT+U2ppcvX5aYTIR8qFq1qtiy+Ph4hIeHy3E0wmG7H4qIiMD+/ft56cvPzw8+Pj68tMWmdevWjOXHjx/nZcPCmzdvWIMT+DBgwABYWloy1vn777/lGpj04cMH3jNf8k1JSYnx3+3hw4fIy8sTrH8HBwfY2Ngw1tm5cyeePHkic1/5+fmYOXMm6+a98ePHy9wXKX6K+7wjIyMD+/btY80KyIcTJ04wlksbGHzmzBnUrFmT8X/+/v5StV0UoqOjOR1bW6NGDezbt4/ziT9FyczMjDWj7e7du2XeHLx3717WzbljxoyRqQ9CuEhMTMSIESNYr8XlypXDoUOHUL58eTmNTHoaGhpwdXVlrHPu3Dn8888/MvVz9epVXLp0ibHOsGHDKGiuiPj6+mLJkiWMddq2bYvOnTvz1uenT59Yf+e3bNnCW3+EEELYUWDjb7Kzs3HlyhUMGzYMgwcP5pwZpFq1ajhw4IDY4L6STl9fH127dpX4dcrKyujXr58AI5KftLQ0LFy4EJ07d8bBgwd5zRD4u/Xr1zMePWNmZibxQszo0aMZH+4APyaMgwcPxufPnyVqWxLfv3/H7t270b59e4mPSmE7Bujw4cO4f/++LMNDcHAwRo4cKehD6bdv32LkyJFwcXHBlStXBFmIz8nJwcyZMxmDcFu1asV4vPefTE1NMXz4cMY6X758wYgRI2QKboyPj8eoUaNYjxUYMWIETE1Npe6HFD8JCQkYP348tm3bxlrX0NCQNTMKF0uXLoWdnR1rvUePHqFHjx6CZnrNycnBsWPH0LlzZ5w8ebLYBFVVrlwZY8eOZazz7ds39O3bF1euXBFsHAUFBbh58yaGDh2KoUOHIjk5WbC+SNFgmydcu3YNp0+flqmPd+/eYdiwYYiNjZWpndKsfv36rEHj8fHxGDx4MO/ZXEUiEf755x+pjrvu3bs3a7bJp0+fok+fPoIGiqSnp+P48ePo0qUL60IvEY6BgQFmz57NWCczMxPDhg3D4cOHBR2Lv78/JkyYgN69e1Ng42/q1avHWL5r1y45jURYjRo1QpMmTRjrrF+/Hjdv3pSpn8jISEyfPp3X7I9MbG1tYW5uLrY8NzcX8+fPl+nUiZCQEAwdOlQugTZqampYsmQJlJSUxNYpKCjA9OnTsW7dOkGzwYeHh2P27Nno0qULwsLCBOuHL0zf5eTkZNYgJlmxbcjIzc3FxIkT8ezZM6n7yMvLg7u7Ox49esRYr2HDhmjXrp3U/ZDiq7jPO/Ly8rBmzRq0b98eW7duZT0uVVrHjx9nzMCrpqaGFi1aCNJ3cfJz7ZbpeE/gxyaRgwcPwsjISE4jk92UKVMYM0vm5uZi0qRJ+PDhg1Tt37hxg3XDpK2tLbp16yZV+4RwlZKSgpEjR7JmrzYzM8PBgweLVbbaYcOGMZ7cBvxIriFtkHJISAjmz5/PWKdChQqsAZal3T///IPMzExe2xSJRDhw4ACmT5/O+MzU1NRULpvTCCGEFK1SHdiYl5eHt2/fwsvLC1OnTkWLFi3g5uYGPz8/zm3UqFEDhw4dgrGxsYAjVXxsx7EUpmXLlqwT0uLi8+fPWLlyJVq3bo158+YhICCAlwCTzMxMLFq0CHv37mWs17dvXygrS/Z11tTUxPr161mzl4WGhsLZ2RlHjx7lbWKan5+PBw8eYPbs2XBwcMC6detYF08K06FDB8aA4tzcXEydOhVXr16Vaoz79u2Dq6vrfzKgCZVlNCQkBG5ubmjXrh3Wr1/P2zFKX79+haurKwIDAxnrsR1lU5gJEyaw3gi/evUK/fr1kyoYITAwEP369cObN28Y61lYWGDChAkSt0+Kn4KCAoSGhmLhwoXo2LEjYxbS3y1cuBAGBgYy96+uro6tW7eiSpUqrHXj4uIwdepUDB06FA8ePJC5758SExOxd+9etGvXDp6ensUy0+CkSZPQoEEDxjrp6elwc3PDvHnz8P79e976fv/+PbZs2YIOHTpg4sSJCAgI4K1tolgaN27MugN90aJFOHLkiFTtnz17Fv379//PA7zinI28qMyfP5/1vUpISMDQoUOxbt06mYNO0tPTcfbsWfTo0QOTJ0/GixcvJG5DSUkJa9euZcyWA/zIfuLi4oLt27fzGkD99OlTLF68GA4ODli6dKnUD+MIf/r06YMuXbow1snNzcWKFSswfvx4qT534sTGxmLfvn3o3r07XF1dKXtnIZo2bcp4z3z9+nXMmzePdTNVcTB37lzGvzU/Px/Tpk3jlPG8MMHBwYXeJwttwIABjOVBQUEYP368xJsS8/Pz4eXlheHDh8v1b2rWrBnrxiuRSITdu3djyJAhvGb+SkpKwvHjx+Hi4oI+ffrg/PnzggZP8qlZs2aM5WvWrBE0E1yLFi3QvXt3xjopKSlwdXWFt7e3xO3HxMRg2LBhrBu81NTUsHTpUsbgWFKylYR5R2JiIrZs2YI2bdpg+vTpuHPnDi+bvfPy8rBlyxZ4enoy1uvatSv09fVl7q84i4+Px4gRI/DlyxfGepUqVcLBgwcZj4RVRGXKlMGkSZMY68TFxWHIkCEICQmRqG0vLy/WYBtlZWV4eHjQtZoIKj09HWPHjsXLly8Z6xkZGeHAgQOc1rQViZaWFubMmcNYJz09HSNHjpT49+jGjRsYNWoU67xx7ty5rCeXlXbr1q2Dg4MD1q5dy8sGy9evX2PkyJFYtWoV42Y6VVVVrF27ttTHaBBCSGnAPTWXgnny5AmnRTeRSITs7Gzk5OQgMzMT8fHxiI+Px6dPn/Du3TuZjhDu3r07li9fXmozNf7O1tYWNjY2eP78OefXSBNEpegyMjJw5swZnDlzBqampmjTpg1atGgBOzs7lC1blnM7nz59wrVr13DgwAHWXauGhoasWfPEqVWrFlasWIE5c+YwBmImJSVh2bJl2Lp1KwYOHIh27dqhdu3aEj24j46ORnBwMB4+fIj79+/zEoijr6+PPn364OjRo2LrZGRkYPr06bh69SpGjhyJ+vXrM7aZlpaGq1evYu/evWKPPBw7dixvx1wXJjY2Frt27cKuXbtgZWWFtm3bokmTJmjYsCF0dXU5txMeHo5z587h1KlTyM7OZqzbpEkT1gcEhdHU1MS6deswePBgxuvp58+fMWjQIHTv3h0jRoxgPb7pxYsX2L9/Py5dusQaJKympoZ169bRzaWCu3PnjsRBFyKRCOnp6UhNTUVycjJevXqFFy9eID09XaJ2Bg4ciB49ekj0GibGxsY4evQoRowYwZhN96eAgAAEBASgcuXK6Nq1669rqCTHYkdHRyMgIAD//PMPHj16JOgRa/KgoqKCTZs2YeDAgaxZgc+cOYNz586hY8eOcHJygp2dnUQPH5KTkxESEoKAgADcu3eP03tGSgZlZWW4urpi9erVYuvk5+dj+fLluHHjBsaMGYMWLVowPnTIzs7GjRs3sG/fPrHzXqHnCSWRnp4etmzZgiFDhjBm28rLy8Pu3btx6tQpDBgwAD179oSVlRWnPuLi4vD06VNcvXoVd+/elSmr10/lypXDpk2bMHr0aMZ5UFZWFjZt2oQ9e/agX79+6NSpE2xtbSU6xujLly8ICQnBo0ePcO/ePcoSqqBWrFiBjx8/st4X3759G7dv30bz5s3Rv39/2NvbS/SgOD09HWFhYQgMDMTdu3cRFhZWbDI3FxVTU1M0btyYMTjszJkzOH/+POrVq4eaNWuiQoUK0NbWhoaGBmPbinYSRe3atTF8+HDGI6dzc3Mxd+5c3Lt3D+7u7ozZEH9KS0vDrl27cODAgf9c85SVlVGtWjVB51kuLi7Yu3cvY5D448eP0aVLF8yYMQOOjo6M711KSgru3LmDHTt24N27d/8pt7Gxgbq6OufTXKQxY8YMvHnzhjGjGPAjaNPV1RW2trYYNGgQmjZtKtHxgdnZ2Xj+/DkCAwNx//59BAUFFdv7CQcHB2hra4t9AJ2Tk4M1a9Zg69atsLOzQ/Xq1WFiYgJtbW3G+y8zMzO0adOG0xg8PDwQHBzMeB+TlZWFhQsXwsfHB+PGjYODgwNjwHFsbCyOHz+OQ4cOcdpU7O7ujho1anAaLym5Ssq8Izc3F1evXsXVq1ehr6+P1q1bo2XLlmjUqJFEWcXi4+N/3auxBVWoqamxBryVBiNHjhS7/v2TkpISunfvzvpbxSdLS0s0btyYl7aGDx+O27dv48mTJ2LrxMbGYvDgwXBxccGYMWMYf2OfPXuGzZs3c9rAPHbsWNja2ko1biZ37tyROEkEW8KBuLg4qQLyHRwcUKZMGYlfR/gzc+ZMTvPVbt26ISQkROIgXmlJMrdi06VLF3Tv3p3xuOjU1FRMnDgRjo6OmDhxIuNa0du3b7Ft2zZOJwX16NGD1yOOf3ry5Anr9fdPhd2z/C49PV2q73Hjxo1haWkp8ev+lJycjL1792Lv3r2oVasWOnTogLZt26JGjRqcnoNkZ2fj0aNH8PHxwc2bNzmdDrB06VI0b95c5rETQghRfMU2sPFn8FhRMDQ0xMyZM9G/f/8i6V9RDRgwAB4eHpzq8jmpVVQJCQk4ffr0ryMOzczMUK1aNVhYWKBMmTLQ19eHhoYG8vPzkZGRgdTUVERHR+P169eIiori3M+iRYtYM8Uw6dWrF75//46VK1ey1v3+/Tu2b9+O7du3Q1tbGw0bNkTFihVhaGgIAwMD6OjoIDc3F1lZWfj27Rvi4+Px4cMHvHv3TrBjuidNmoSLFy+yZsDx9fWFr68vzM3N0bBhQ1haWkJfXx9qamrIyMjAly9fEBERgWfPnjE+mG7Xrh369u0rt4CFyMhIREZGYu/evVBWVkbFihVhZWWFChUqoEyZMtDR0YG6ujpycnKQkZGBb9++4d27d4iIiOC8wKGjo8O6i5lJvXr14OHhgUWLFjHWE4lEuHjxIi5evAgLCwvY2dmhSpUq0NPTg5KS0q/vQGBgoEQBcB4eHqxHy5Gix/RgVUjdu3fn/NskCVNTUxw+fBiTJk3C06dPOb3m/fv32LlzJ3bu3AkNDQ1YW1vDwsICFStWhJ6eHrS0tKCiooLMzEykp6cjLi4O0dHRiIyMFOxopqJUtmxZ7NmzB0OHDmU9rr6goODXdVxZWRk1atRA7dq1f/3+/Ax0zMnJQXJyMhISEvDlyxe8e/cOX79+pWCPUmzIkCHw8vJizfrp5+cHPz8/mJmZoWHDhqhWrRr09fWhqamJzMxMxMTE4PXr1wgODmZ82GxjY4NJkyZRYKMU6tati7Vr18LNzY012CIpKenX9bRcuXKwtbVFpUqVYGZmBk1NTeTk5CAlJQVJSUn48uULwsPDBQsEbNq0KdauXQt3d3fWcWdkZODQoUM4dOgQNDQ0UK9ePVSpUgUGBgYwMDCAnp4e8vLykJ2djcTERCQkJPyaS8s7MxqRjq6uLnbv3o3Bgwdzekjx6NGjX0eNVqlSBXXr1oWxsfGvz4SysjJycnKQmpqK+Ph4xMTE4N27d/j06ZPcjgAuSYYPH86a9S4/Px9BQUESZZtXtMBGAHBzc8Pjx49ZM7dcuXIF169fR5s2bdCuXTvUqVMH5ubm0NbWRnZ2NuLi4hAREYF79+7h6tWrYjcYubq6Ijk5WdDARgMDA0yePBkrVqxgrBcfH4958+bB09MTzZo1Q9WqVWFiYgINDQ0kJiYiMTERr1+/RkhIiNjrtq6uLjZs2ICFCxcK8af8oqqqik2bNmHkyJGcHkiHhob+OmbP3Nwc9evXh4mJCQwMDGBoaAhVVVXk5OQgLS0NCQkJiImJQVRUFD5+/CjTxm5Foq2tDRcXFxw4cICxXkZGBu7fv4/79+9zatfe3p7zOqWhoeGvDRlsGX6Cg4Mxfvx4GBoawt7eHtWqVYOxsfGvtaiPHz8iLCwMz58/53xd7969u9QbnEnJUhLnHSkpKbh06dKv4BVDQ0NUr14dFhYWKFu2LAwNDaGhoQGRSITMzEykpqbiw4cPePv2LV6/fs353n/q1Km8BHEUd1x+t0UiEbZv3y6H0fyPk5MTb4GNKioqWLduHZycnBjXnvLy8nDs2DGcOHEC9erVQ7169VC+fHloaGggLS3t15o110Ake3t7TJ06lZe/4U/79u3j/fSR6OhoqeY9hw8fpsDGIsZ1/n3s2DGBR/JvksytuPD09MSLFy8Yg/tEItGv35DatWujQYMGqFixIrS1tZGeno5Pnz4hKCgIERERnPqsWrUqli5dytef8C8+Pj5SZ9AXJykpSarv8cqVK3n/TXz58iVevnyJLVu2QF1dHdWrV4e1tTVMTEygr68PPT095ObmIj09HZ8/f8a7d+8QGhqKnJwczn3MnDkTffv25XXchBBCFFexDWwsCioqKnB2dsaMGTMorXEhunfvjtWrV3M69qdPnz5QVS1dH7+f2UIfP37MW5vjxo2Do6OjzO0MHz4cOjo6WLx4MefjhzIyMng9WlVaxsbG8PT0xLRp0zjV//z5M2t2MHFq166NtWvXFtmxrwUFBfjw4QOvRw3+zHYo642Li4sLkpOTsW7dOk71P378yEtKend39xKZ/ZXITklJCSNHjsSsWbMEO/LFyMgIhw8fxrp16yQO3MzOzsazZ8/w7NkzQcZmbW3Ny9HbQrOysoKXlxdGjRrF+dpWUFCAiIgIzotQpHRTV1fHmjVrMHjwYE6ZieLj438F0UrK3NwcO3bskCgbK/m3Tp06YePGjXBzc+McgBETE4OYmBiBR8asa9eu0NbWxrRp0zhlWQJ+/A78zOhLShZTU1OcOHECY8eORVhYGOfXRUVFSbTBjUiuXbt2aNmypULcxwpNXV0d27dvR//+/Vk3vOXl5eHGjRu4ceOGVH3Z2Nhg+vTpgj30+92QIUNw8+ZN+Pn5sdbNzMzErVu3JD6STl1dHVu3bkXlypWlHaZEtLW1ceDAgV/HsHIly9pGcTdhwgRcvHixSDd/2djYYMeOHRg3bhynLNBJSUm4fv06rl+/LlO/7dq1w6pVq2Rqg5QsJX3ekZSUhCdPnjBm25NU9+7dMWbMGN7aI4qvbNmy2Lt3L4YNG4aUlBTGugUFBQgODpYpY3Pt2rWxbds2iU67IoQw09HRwb59+zB48GB8+fKFtf6LFy/w4sULqfurUKEC9u3bBx0dHanbID/k5OTg+fPnEp34yERFRQVLliyh5FOEEFLKiD8Dg/yira2NIUOGwNfXF8uXL6egRjG0tbXRq1cv1nrKysoKmdGguJk4cSJmzJjBW3v9+vXDvn37iuUOuy5dunAObJRWjRo1sGfPHomOglZ02tra2LRpE9q2bctLe2PHjsWiRYvkErSsqqqKxYsX00IkKZS5uTl2796N2bNnCxbU+JOqqirmzJmDPXv2oFKlSoL2xYWhoSE8PDxw5swZ6OnpFfVwOKlUqRJOnjzJ27WIkD/Vr18fK1asEPR6UK5cOezZswdly5YVrI/SomPHjjh48GCxm5M6ODjgxIkTqFq1alEPhSgAY2NjHDlyBH369CnqoZA/rF27Vm4Ba0WtQoUK2LNnD4y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eqPvuuy9WJUo69rxu2LBBGzZs6NA6c+bM0fXXXx+jqgAAAGCmk08+WTabLaxr+muvvUawMYG1t1tjY7m5uRowYID2798fGquqqlJxcbEGDhwoKbxro8vlCnVtzM7OjsdDAwAAAAAAACJiK2oASDGdGWoMYlvq1DZs2DC99NJLuuqqq8K2b46HCy+8UK+++mrcQ42S5HQ6tXjxYo0ZMyYm65188slatmyZXC5XTNaLpW984xu65557wt40BQAAQNdWUFAQdvzvf//bpErQGh3p1th4fMiQIcrMzJT0VRhyz549qq2tlWEYTbo2Smrxg2oAACQKbwvfJwEAAAB0HQQbASCFmBFqDCLcmNpcLpd++tOf6sUXX9TZZ58d8/VPOeUUPf7443rggQfUvXv3mK8fTX5+vp5++mldeOGFHVrniiuu0F/+8hfl5ua2+doRI0aob9++Hbp/NEOGDNFjjz2mO++8U3Y7jb4BAACSyUknnRR2vHv3bpMqQUti1a0xyGq1atSoUWFjgUBA27dvVyAQkBTetdEwjFDXRgAAEplhGNrn9YWN5cT5g9YAAAAA4oef5gEgRZgZagwi3IgxY8ZoyZIlevXVV7VgwYImXWLaIicnR/Pnz9czzzyjv/3tbzrjjDNiWGnruVwuPfDAA3r44Yfb3L1x8uTJ+utf/6pf/OIXSktLa9f9zz//fK1atUqvvPKKvv/972vKlCnKyMho11rSsTdEp0yZol//+tdavny5zjzzzHavBQAAgMQ1c+bMsOPa2lq53W6TqkFzYtGtsfF8cEtq6atQZFVVlfbv30/XRgBAl3XY75f7PyH9oCEOh0nVAAAAAOgoWu8AQApIhFBjUDDc2Fw9wXBjZ9QDc4wcOVJ33HGHbr/9du3YsUMfffSRtm7dqv379+vAgQOqqalRXV2dDMNQenq6XC6X+vTpowEDBmjkyJGaNGmSTjrpJDni/MLk3XffrbvvvrtV586cOVMzZ87U1q1btWrVKm3evFm7du1SRUWF6urq5HQ6lZ+fr6FDh2rixIk655xzdMIJJ8Ss1lGjRmnUqFH6zne+I5/Pp88//1yfffaZioqKtH//fhUXF6uyslK1tbWqr6+X0+lUVlaWsrKy1Lt3b40aNUqjR4/WlClT1KdPn5jVtWPHjpitBQAAgNi54oor9P/+3/8LG3vllVf0jW98w6SKEEmsuzUGGYahoUOHqrS0NCzQWlRUpO7duys7Ozusa6PL5Qp1bczOzo7RowMAILb2eLxhx/k2m/JsNpOqAQAAANBRBBsBIMklUqgxiHAjgiwWSyiQlyzGjBnT5s6NsWa323XyySfr5JNPNrUOAAAAJK4hQ4bIbreHheVWrFhBsDHBROvWGO3PrXH8+SNGjNCmTZtCY8EtqU855RQZhiGPxxPq2piVlaWioiKNHTu2g48KAIDYMwxDu72esLEhTro1AgAAAF0ZW1EDQBJLxFBjENtSAwAAAIC5+vbtG3b88ccfm1QJIqmrq9Pnn3/epFtjLB2/JXVQdXW19u7dK0nyeDxqaGhQaWmpDMNQaWmp6urq4lILAAAdURYIqMIfvg31MLahBgAAALo0go0AkKQSOdQYRLgRAAAAAMwzfvz4sONgmA2J4ciRI6qtrZXU9q6MbTF48GC5XK6wsb1794Y6RQYCAXm93lANHo8n0jIAAJhqT6PvT1lWq3qyDTUAAADQpRFsBIAk1BVCjUGEGwEAAADAHOeee27YcV1dHb93JRi73S6r1SqLxRK3e9hsNo0aNSrsHoZhaMeOHZKkbt26adiwYbJarcrNzVV2dnbcagEAoL12e71hx0Ocjrh+/wQAAAAQfwQbASDJ1NbWdplQY1Bbwo3BbhUAAAAAgI6ZP39+k7EXX3zRhEoQSd++fTVw4EDl5+crKytLaWlpcjqdcjqdstlsoX+iBR8tFkuTfyKdY7Va1a1bNw0dOlRWqzX0T11dnUpKSjR48GBZLBaNHz9e48aNk9XKS8oAgMRSHQioxOcPG2MbagAAAKDrs5tdAAAgtjIzMzVt2rSowcZECzUGBcONzYUyp02bpszMzE6uDAAAAACSU+/evZWWlqaGhobQ2FtvvaUbbrjBxKoQZLfbNWfOHB08eFDvvvtu1PNqamrk8/nk9/vl/U+3qrS0tIhBRsMwQl9vh8Mhm80mu92urKws9e3bV36/XxUVFZKOvX6Qk5OjYcOGafDgwTF/fAAAxMruRttQp1st6mPnLVAAAACgq+OnegBIMhaLRQsXLpQkPfnkk2FziRpqDGou3HjNNddo4cKFbB8CAAAAADE0YMAAFRYWho43bdpkYjVozG63a+DAgbr22msjzldXV+vjjz+WYRg6cOCAfD6funXrptzc3KhrVlZWqry8XHa7Xf369ZPFYtHEiROVnZ2tuXPnaunSpfL5fKHzX375Zd18881KS0uL9cMDACAm9jTahnqwwyEbryMDAAAAXR77hgBAEgqGG6+55prQWKKHGoMibUtNqBEAAAAA4mPChAlhx8XFxSZVgvYoKiqSJNXW1srn88lqtSo7O7vZa7Kzs2W1WuXz+VRbWxu2Ts+ePTVr1qyw8ysqKvTmm2/GvHYAAGKhLhDQweMC+ZI0hG2oAQAAgKRAsBEAktTx4cauEmoMOj7cSKgRAAAAAOJn9uzZYccej4dwYxdRXV2t0tJSGYYR2j46NzdXVmvzL/lardZQR8eKigoZhqHS0lJVV1dLkk477bQmW09v3LhRX3zxRcwfAwAAHVXk9SpgfHVst1g0kGAjAAAAkBQINgJAEguGG5ctW9ZlQo1B+fn5WrZsGaFGAAAAAIijr33ta03GXnzxRRMqQVu1p1tjUHNdGy0Wi+bNmyen0xl2zauvviq32x2z+gEAiIXG21APdNjl4PVkAAAAICnYzS4AABBfFotFLpfL7DLapavWDQAAAABdRU5OjjIyMlRXVxca++CDD0ysCK3R3m6NQcGujeXl5aqoqJDL5Qp1bczOzla3bt10wQUX6NVXXw1dU1NToxUrVmj+/Pl8ADEZZXc3u4K2qy41u4I2MyqPml0CEHM5uWmm3dtrGCqpM5SWbguNjc11KSez+Zoqa73NzieiPJut5ZMSkbPlU5JdjdWqdWYXAQAA0EXRsREAAAAAAABIYY27/JWUlJhUCVqrI90ag5rr2ihJEyZM0IgRI8Ku2bp1q7Zs2dKh2gEAiJW9DR55ja/2obbKoqHpJOkAAACAZEGwEQAAAAAAAEhhubm5YcdHj9JRLJF1tFtjULBroyRVVFTIMIxQ10bp2A4Qc+fOVUZGRth1K1asYEtqAEBC2FnvCTvu73Qoo43fDwEAAAAkLn66BwAAAAAAAFJYXl5e2HEwLIfEFItujUEtdW3Mzs7WnDlzwq6pr6/XF1980a77AQAQKwHD0O6G8GDjMLo1AgAAAEmFYCMAAAAAAACQwnr27Bl2HOzYh8QTq26NQS11bZSkMWPGaODAgWHX1dTUtO8BAAAQI8Uer+oDgbCx4QQbAQAAgKRCsBFAyjEMw+wSAABAB/H9HACA2OnTp0/YcV1dnUmVoCWx7NYY1FLXRklyOsODIu0NUgIAECuFjbah7uVwKMdmM6kaAAAAAPHAK1AAkprD4Wgy1tDQYEIlAAAglurr65uMNX7DHQAAtE7fvn3Djj0eT5QzYaZYd2sMak3XxsYfKrFYLB26JwAAHWEYhnY12oaabo0AAABA8iHYCCCpuVyuJi/ws6UWAABdX+Pv51arVZmZmSZVAwBA1zZo0KCwY7/fb1IlaE48ujUGtdS1kWAjACCRfOnzqarRzyvD0wg2AgAAAMmGYCOApGaxWJq8yF9VVWVSNQAAIFYafz/PycnhDXYAAJC04tWtMailro2BQKDJ+QAAmGVXo22ou9lt6m5nG2oAAAAg2fAKFICk161bt7DjL774wqRKAABArDT+fp6Xl2dOIQAAJIEjR46EHRNaSzzx7NYY1FzXRjo2AgASyc5GwcbhaWl8bwIAAACSEK9SAkh648ePDztet26dOYUAAICYafz9fMKECSZVAgBA11daWhp2bLPR8SiRxLtbY1BzXRsJNgIAEkW5z69Sny9sbHg621ADAAAAychudgEAEG+nn366Xn755dDxxo0b1dDQoLS0NPOKAgAA7VZfX69NmzaFjU2dOtWkagAA6PoaBxsdDodJlSCSxt0apWNhx/Ly8pjfy24/9nJxsGtjVlaWioqK2IoaAJAwCusbwo5dVqv6OHi7EwAAAEhGvAIFIOlNnjw57AV3j8dD10YAALqw9evXy+P5atspq9WqKVOmmFgRAABdW7ALYBAfBEwcdXV1Tbo1SgoFHGPt+HWP79rY0BAeIqFjIwDALIUN4dtQD0t38n0JAAAASFIEGwEkvezsbI0dOzZs7KGHHgoLRAAAgK7B4/HooYceChs7+eSTlZWVZVJFAAB0fZWVlWHH6enpJlWCxoKvXRiGEbcwYzQ+ny+0BXXjexMgAQCYocbv10GPN2xseDofyAAAAACSFb3ZAaSEiy++WJ9++mnoeN++fXrwwQd122238WI8AABdhGEYevDBB7Vv376w8blz55pUEQAAyaFxsDEjI8OkStBYdna2cnNzVVlZqcGDB5tSQ25ubpMunsHAIwAAnWlXo26NaRarBjodJlUDAAAAIN7o2AggJcydO1cnnnhi2Njzzz+v3/3ud/J6vVGuAgAAicLj8eh3v/udnn/++bDxMWPGEGwEAKCDamtrw45dLpdJlaAxq9WqcePGafz48abcf/z48Ro3bpwyMzPDxuvr602pBwCQ2grrw4ONQ9IdstG4AAAAAEhadGwEkBKsVqvuuOMOXXvttQoEAqHx559/Xhs2bNDChQs1depUttsCACDB1NfXa/369XrooYeadGq0Wq26/fbbZbXyeS0AADqicbAxOzvbpEoQidVqVV5enmbMmGFaDY27eNbV1ZlUCQAgVdUHAtrfeBvqNLahBgAAAJIZwUY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      "text/plain": [
       "<Figure size 4800x2400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## NOT IN PAPER\n",
    "## Dry season enhancement, 2014-2019 average\n",
    "\n",
    "#import format_plots as fp\n",
    "reds_trans = fp.cmap_trans('Reds') # makes tranparent at lower end\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8], dpi=300)\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "\n",
    "lat= BC_atm_enhance14_19_mean['lat'].values\n",
    "lon= BC_atm_enhance14_19_mean['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 0.4, 26-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "\n",
    "pcm= ax.pcolormesh(lon,lat,BC_atm_enhance14_19_seas_mean['AerMassBC'] ,cmap=reds_trans, norm=norm)\n",
    "\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),s=50, \n",
    "           c='grey', marker=\"^\", alpha=0.5, label = \"Glaciers\")\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8,label= \"Obs.\")  \n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "# get the symbols and the labels for legend\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=2, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "fig.colorbar(pcm, ax=ax, label = 'BC ($\\mu$gC m⁻³)' )\n",
    "\n",
    "\n",
    "plt.title('Dry season BC enhancement due to fires, 2014-2019.', y= 1.05, fontsize =20)\n",
    "#fig.savefig('../PP1_figs/BCAndes_FigS2.png', dpi=fig.dpi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
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       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
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       "\n",
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
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       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;AerMassBC&#x27; (time: 1, lat: 151, lon: 89)&gt;\n",
       "array([[[0.00065887, 0.00066077, 0.00069647, ..., 0.00099602,\n",
       "         0.00095752, 0.00095914],\n",
       "        [0.00065817, 0.0006642 , 0.0006964 , ..., 0.00100503,\n",
       "         0.00097091, 0.00095962],\n",
       "        [0.00070696, 0.00070866, 0.00074717, ..., 0.00111331,\n",
       "         0.0012674 , 0.00107561],\n",
       "        ...,\n",
       "        [0.10669979, 0.10821402, 0.09012782, ..., 0.02775248,\n",
       "         0.03637649, 0.02870513],\n",
       "        [0.10608452, 0.10944967, 0.08361959, ..., 0.03489291,\n",
       "         0.03666943, 0.02876934],\n",
       "        [0.08841885, 0.10395852, 0.09335637, ..., 0.02595716,\n",
       "         0.02701454, 0.02686206]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "    lev      float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2019-01-01\n",
       "Attributes:\n",
       "    units:    ugC m-3</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AerMassBC'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-05042ac5-2068-4feb-a6de-e66973081f25' class='xr-array-in' type='checkbox' checked><label for='section-05042ac5-2068-4feb-a6de-e66973081f25' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0006589 0.0006608 0.0006965 0.0007316 ... 0.02596 0.02701 0.02686</span></div><div class='xr-array-data'><pre>array([[[0.00065887, 0.00066077, 0.00069647, ..., 0.00099602,\n",
       "         0.00095752, 0.00095914],\n",
       "        [0.00065817, 0.0006642 , 0.0006964 , ..., 0.00100503,\n",
       "         0.00097091, 0.00095962],\n",
       "        [0.00070696, 0.00070866, 0.00074717, ..., 0.00111331,\n",
       "         0.0012674 , 0.00107561],\n",
       "        ...,\n",
       "        [0.10669979, 0.10821402, 0.09012782, ..., 0.02775248,\n",
       "         0.03637649, 0.02870513],\n",
       "        [0.10608452, 0.10944967, 0.08361959, ..., 0.03489291,\n",
       "         0.03666943, 0.02876934],\n",
       "        [0.08841885, 0.10395852, 0.09335637, ..., 0.02595716,\n",
       "         0.02701454, 0.02686206]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ee806a5e-4d4b-405d-9979-369f8f19d341' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee806a5e-4d4b-405d-9979-369f8f19d341' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-d6ae3d25-6f8c-4cc3-9318-75731f829d7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6ae3d25-6f8c-4cc3-9318-75731f829d7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a353f3e-e383-49c0-8f89-3d1458c0a79d' class='xr-var-data-in' type='checkbox'><label for='data-2a353f3e-e383-49c0-8f89-3d1458c0a79d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-0a8a771e-7590-4d09-a2ef-554b20172c5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a8a771e-7590-4d09-a2ef-554b20172c5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3946741f-0811-4e8d-b2e7-fc75b8d8f76d' class='xr-var-data-in' type='checkbox'><label for='data-3946741f-0811-4e8d-b2e7-fc75b8d8f76d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9925</div><input id='attrs-313b7e71-16e7-4aa7-97ab-bc322200d88c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-313b7e71-16e7-4aa7-97ab-bc322200d88c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-905e82da-611c-4c81-8798-933f5c56b4cc' class='xr-var-data-in' type='checkbox'><label for='data-905e82da-611c-4c81-8798-933f5c56b4cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>units :</span></dt><dd>level</dd><dt><span>formula_terms :</span></dt><dd>ap: ap b: b ps: ps</dd><dt><span>bounds :</span></dt><dd>lev_bnds</dd></dl></div><div class='xr-var-data'><pre>array(0.99250002)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-01-01</div><input id='attrs-0f334818-2bc0-456a-808b-e9a619035ada' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f334818-2bc0-456a-808b-e9a619035ada' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4f2a5e6-7129-4695-8486-932f24e4ce45' class='xr-var-data-in' type='checkbox'><label for='data-b4f2a5e6-7129-4695-8486-932f24e4ce45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5cf2d95-4534-482f-9c09-1d144beb65a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5cf2d95-4534-482f-9c09-1d144beb65a9' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ugC m-3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'AerMassBC' (time: 1, lat: 151, lon: 89)>\n",
       "array([[[0.00065887, 0.00066077, 0.00069647, ..., 0.00099602,\n",
       "         0.00095752, 0.00095914],\n",
       "        [0.00065817, 0.0006642 , 0.0006964 , ..., 0.00100503,\n",
       "         0.00097091, 0.00095962],\n",
       "        [0.00070696, 0.00070866, 0.00074717, ..., 0.00111331,\n",
       "         0.0012674 , 0.00107561],\n",
       "        ...,\n",
       "        [0.10669979, 0.10821402, 0.09012782, ..., 0.02775248,\n",
       "         0.03637649, 0.02870513],\n",
       "        [0.10608452, 0.10944967, 0.08361959, ..., 0.03489291,\n",
       "         0.03666943, 0.02876934],\n",
       "        [0.08841885, 0.10395852, 0.09335637, ..., 0.02595716,\n",
       "         0.02701454, 0.02686206]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "    lev      float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2019-01-01\n",
       "Attributes:\n",
       "    units:    ugC m-3"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BC_mean_2014,BC_mean_2014_seas  =BC_concen_func(file_AerMass_loc_14,'2014')\n",
    "BC_mean_2015,BC_mean_2015_seas  =BC_concen_func(file_AerMass_loc_15,'2015')\n",
    "BC_mean_2016,BC_mean_2016_seas =BC_concen_func(file_AerMass_loc_16,'2016')\n",
    "BC_mean_2017,BC_mean_2017_seas  =BC_concen_func(file_AerMass_loc_17,'2017')\n",
    "BC_mean_2018,BC_mean_2018_seas =BC_concen_func(file_AerMass_loc_18,'2018')\n",
    "BC_mean_2019,BC_mean_2019_seas =BC_concen_func(file_AerMass_loc_19,'2019')\n",
    "\n",
    "\n",
    "BC_mean_2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 6, lon: 89, lat: 151)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2014-08-01 2015-08-01 ... 2019-08-01\n",
       "  * lon        (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat        (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "    lev        float64 0.9925\n",
       "Data variables:\n",
       "    AerMassBC  (time, lat, lon) float32 0.0006233 0.0006246 ... 0.03339 0.03324\n",
       "Attributes:\n",
       "    units:    ugC m-3</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e476d55e-0a3c-4fe6-8d10-5add03ba2b97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e476d55e-0a3c-4fe6-8d10-5add03ba2b97' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6</li><li><span class='xr-has-index'>lon</span>: 89</li><li><span class='xr-has-index'>lat</span>: 151</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-22a5e7a1-ff48-4169-985a-a6e0e2707889' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22a5e7a1-ff48-4169-985a-a6e0e2707889' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-08-01 ... 2019-08-01</div><input id='attrs-43e322f8-971e-4963-b897-021cd26b4dc8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43e322f8-971e-4963-b897-021cd26b4dc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1336507b-762e-442e-a744-16b860b94077' class='xr-var-data-in' type='checkbox'><label for='data-1336507b-762e-442e-a744-16b860b94077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-08-01T00:00:00.000000000&#x27;, &#x27;2017-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-08-01T00:00:00.000000000&#x27;, &#x27;2019-08-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-8e89d59b-c1fa-4695-b17e-eeef3bf9f789' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e89d59b-c1fa-4695-b17e-eeef3bf9f789' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f452322b-1c1d-4d14-ba65-5bd89235a813' class='xr-var-data-in' type='checkbox'><label for='data-f452322b-1c1d-4d14-ba65-5bd89235a813' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-7ca765d8-7a1f-4540-b736-16e411587002' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ca765d8-7a1f-4540-b736-16e411587002' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a73ff30f-0ff8-4739-8dc1-36fc9b1f29d6' class='xr-var-data-in' type='checkbox'><label for='data-a73ff30f-0ff8-4739-8dc1-36fc9b1f29d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9925</div><input id='attrs-66885b1d-63f5-477b-8c7f-1fda837d60c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66885b1d-63f5-477b-8c7f-1fda837d60c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52e88821-d57a-4037-a5b4-b080b4d78653' class='xr-var-data-in' type='checkbox'><label for='data-52e88821-d57a-4037-a5b4-b080b4d78653' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>units :</span></dt><dd>level</dd><dt><span>formula_terms :</span></dt><dd>ap: ap b: b ps: ps</dd><dt><span>bounds :</span></dt><dd>lev_bnds</dd></dl></div><div class='xr-var-data'><pre>array(0.99250002)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6846e5bf-05ce-4505-916b-050488fcbb78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6846e5bf-05ce-4505-916b-050488fcbb78' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>AerMassBC</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0006233 0.0006246 ... 0.03324</div><input id='attrs-dbcfa88b-d04a-433d-bc39-0f617e5a3f0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbcfa88b-d04a-433d-bc39-0f617e5a3f0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dd6fc62-f8ba-4c1a-88a0-443a1639fc3e' class='xr-var-data-in' type='checkbox'><label for='data-2dd6fc62-f8ba-4c1a-88a0-443a1639fc3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ugC m-3</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00062327, 0.00062457, 0.00073525, ..., 0.00121065,\n",
       "         0.00120059, 0.0012027 ],\n",
       "        [0.00062398, 0.00063527, 0.00073741, ..., 0.00123789,\n",
       "         0.00123109, 0.00120313],\n",
       "        [0.00069822, 0.00069951, 0.00083468, ..., 0.00133456,\n",
       "         0.00153178, 0.00132602],\n",
       "        ...,\n",
       "        [0.09911573, 0.0961831 , 0.06626709, ..., 0.02710876,\n",
       "         0.0327182 , 0.02824176],\n",
       "        [0.09571853, 0.09470234, 0.06735199, ..., 0.0308991 ,\n",
       "         0.03265192, 0.02830621],\n",
       "        [0.07268485, 0.07450203, 0.06116619, ..., 0.02396388,\n",
       "         0.02514207, 0.02504507]],\n",
       "\n",
       "       [[0.00044391, 0.00044435, 0.00046435, ..., 0.00112741,\n",
       "         0.0011111 , 0.00111305],\n",
       "        [0.00044377, 0.00049678, 0.00051024, ..., 0.00112854,\n",
       "         0.00111721, 0.00110549],\n",
       "        [0.00047682, 0.00047811, 0.00051326, ..., 0.00113547,\n",
       "         0.00133467, 0.00112387],\n",
       "...\n",
       "        [0.09931522, 0.09607702, 0.06776371, ..., 0.02994383,\n",
       "         0.03399985, 0.03241925],\n",
       "        [0.09645294, 0.09464223, 0.06888919, ..., 0.03135406,\n",
       "         0.03432806, 0.03249041],\n",
       "        [0.07568251, 0.07897326, 0.06368992, ..., 0.02810787,\n",
       "         0.03059253, 0.03054988]],\n",
       "\n",
       "       [[0.00078506, 0.000785  , 0.00088305, ..., 0.00131818,\n",
       "         0.00129049, 0.0012924 ],\n",
       "        [0.00078449, 0.00079497, 0.00088686, ..., 0.00132704,\n",
       "         0.00130502, 0.00129298],\n",
       "        [0.00078663, 0.00078777, 0.0008741 , ..., 0.0013694 ,\n",
       "         0.00160113, 0.00134187],\n",
       "        ...,\n",
       "        [0.11526377, 0.11244413, 0.07833625, ..., 0.03382837,\n",
       "         0.03819444, 0.03544028],\n",
       "        [0.11226847, 0.11113999, 0.08043559, ..., 0.03630044,\n",
       "         0.03862872, 0.03548346],\n",
       "        [0.08248919, 0.08581527, 0.06965756, ..., 0.03175199,\n",
       "         0.03339268, 0.03324293]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-641350fe-c2af-4831-9ed9-e17cba9954e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-641350fe-c2af-4831-9ed9-e17cba9954e3' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ugC m-3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 6, lon: 89, lat: 151)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2014-08-01 2015-08-01 ... 2019-08-01\n",
       "  * lon        (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat        (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "    lev        float64 0.9925\n",
       "Data variables:\n",
       "    AerMassBC  (time, lat, lon) float32 0.0006233 0.0006246 ... 0.03339 0.03324\n",
       "Attributes:\n",
       "    units:    ugC m-3"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BC_atm_mean14_19_seas = xr.merge([BC_mean_2014_seas, BC_mean_2015_seas, BC_mean_2016_seas, BC_mean_2017_seas, BC_mean_2018_seas, BC_mean_2019_seas])\n",
    "BC_atm_mean14_19_seas "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# merge the 2014-2019 BC concentration\n",
    "BC_atm_mean14_19 = xr.Dataset()\n",
    "BC_atm_mean14_19 = xr.merge([BC_mean_2014, BC_mean_2015, BC_mean_2016, BC_mean_2017, BC_mean_2018, BC_mean_2019])\n",
    "# merge the 2014-2019 dry season BC concentration\n",
    "BC_atm_mean14_19_seas = xr.Dataset()\n",
    "BC_atm_mean14_19_seas = xr.merge([BC_mean_2014_seas, BC_mean_2015_seas, BC_mean_2016_seas, BC_mean_2017_seas, BC_mean_2018_seas, BC_mean_2019_seas])\n",
    "# find the average \n",
    "BC_atm_mean14_19_mean = xr.Dataset()\n",
    "BC_atm_mean14_19_mean= BC_atm_mean14_19.mean(dim= 'time')\n",
    "# find the average for the season \n",
    "BC_atm_mean14_19_seasmean = xr.Dataset()\n",
    "BC_atm_mean14_19_seasmean= BC_atm_mean14_19_seas.mean(dim= 'time')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC concentration 2014-2019.')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "reds_trans = fp.cmap_trans('Reds') # makes tranparent at lower end\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=[12, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "\n",
    "lat= BC_atm_mean14_19_mean['lat'].values\n",
    "lon= BC_atm_mean14_19_mean['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 1.0, 26-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "\n",
    "pcm= ax.pcolormesh(lon,lat,BC_atm_mean14_19_mean['AerMassBC'] ,cmap=reds_trans, norm=norm)\n",
    "\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),s=50, \n",
    "           c='grey', marker=\"^\", alpha=0.5, label = \"Glaciers\")\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8,label= \"Obs.\")   \n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "# get the symbols and the labels for legend\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=2, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "fig.colorbar(pcm, ax=ax, label = 'BC ($\\mu$gC m⁻³)' )\n",
    "\n",
    "\n",
    "plt.title('BC concentration 2014-2019.', y= 1.05, fontsize=22)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 4800x2400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###FIGURE IN PAPER: Figure S3\n",
    "\n",
    "reds_trans = fp.cmap_trans('Reds') # makes tranparent at lower end\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=[16,8], dpi=300)\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "\n",
    "lat= BC_atm_mean14_19_mean['lat'].values\n",
    "lon= BC_atm_mean14_19_mean['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 1.0, 26-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "\n",
    "pcm= ax.pcolormesh(lon,lat,BC_atm_mean14_19_seasmean['AerMassBC'] ,cmap=reds_trans, norm=norm)\n",
    "\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),s=50, \n",
    "           c='grey', marker=\"^\", alpha=0.5, label = \"Glaciers\")\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8,label= \"Obs.\")\n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "\n",
    "ax.text(-74, -5, 'Peru',fontsize=18,fontweight='bold', ha='right',va='top',color='k')\n",
    "ax.text(-62, -4, 'Brazil',fontsize=18,fontweight='bold', ha='right',va='top',color='k')\n",
    "\n",
    "# get the symbols and the labels for legend\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=2, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "fig.colorbar(pcm, ax=ax, label = 'BC ($\\mu$gC m⁻³)' )\n",
    "\n",
    "\n",
    "plt.title('Dry season BC concentration 2014-2019. ', y= 1.05, fontsize=22)\n",
    "fig.savefig('../PP1_figs/BCAndes_FigureS3.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total BC/Dust dry and wet dep plots\n",
    "* for wet, dry, and total BC and Dust plots \n",
    "* fossil fuels, and fires, and total "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Start here: Upload saved files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### uploading all the drydep fluxes\n",
    "###saving all the mgm2d,mgm2m,mgm2y files\n",
    "DD2014_mgm2d=xr.open_dataset('DryDep_BCDST_2014mgm2d.nc4')\n",
    "DD2014_mgm2m=xr.open_dataset('DryDep_BCDST_2014mgm2m.nc4')\n",
    "DD2014_mgm2y=xr.open_dataset('DryDep_BCDST_2014mgm2y.nc4')\n",
    "DD2014_mgm2d_noGFED=xr.open_dataset('DryDep_BCDST_2014mgm2d_noGFED.nc4')\n",
    "DD2014_mgm2m_noGFED=xr.open_dataset('DryDep_BCDST_2014mgm2m_noGFED.nc4')\n",
    "DD2014_mgm2y_noGFED=xr.open_dataset('DryDep_BCDST_2014mgm2y_noGFED.nc4')\n",
    "DD2015_mgm2d=xr.open_dataset('DryDep_BCDST_2015mgm2d.nc4')\n",
    "DD2015_mgm2m=xr.open_dataset('DryDep_BCDST_2015mgm2m.nc4')\n",
    "DD2015_mgm2y=xr.open_dataset('DryDep_BCDST_2015mgm2y.nc4')\n",
    "DD2015_mgm2d_noGFED=xr.open_dataset('DryDep_BCDST_2015mgm2d_noGFED.nc4')\n",
    "DD2015_mgm2m_noGFED=xr.open_dataset('DryDep_BCDST_2015mgm2m_noGFED.nc4')\n",
    "DD2015_mgm2y_noGFED=xr.open_dataset('DryDep_BCDST_2015mgm2y_noGFED.nc4')\n",
    "DD2016_mgm2d=xr.open_dataset('DryDep_BCDST_2016mgm2d.nc4')\n",
    "DD2016_mgm2m=xr.open_dataset('DryDep_BCDST_2016mgm2m.nc4')\n",
    "DD2016_mgm2y=xr.open_dataset('DryDep_BCDST_2016mgm2y.nc4')\n",
    "DD2016_mgm2d_noGFED=xr.open_dataset('DryDep_BCDST_2016mgm2d_noGFED.nc4')\n",
    "DD2016_mgm2m_noGFED=xr.open_dataset('DryDep_BCDST_2016mgm2m_noGFED.nc4')\n",
    "DD2016_mgm2y_noGFED=xr.open_dataset('DryDep_BCDST_2016mgm2y_noGFED.nc4')\n",
    "####uploading saved drydep from 2017-2019\n",
    "DD2017_mgm2d=xr.open_dataset('DryDep_BCDST_2017mgm2d.nc4')\n",
    "DD2017_mgm2m=xr.open_dataset('DryDep_BCDST_2017mgm2m.nc4')\n",
    "DD2017_mgm2y=xr.open_dataset('DryDep_BCDST_2017mgm2y.nc4')\n",
    "DD2017_mgm2d_noGFED=xr.open_dataset('DryDep_BCDST_2017mgm2d_noGFED.nc4')\n",
    "DD2017_mgm2m_noGFED=xr.open_dataset('DryDep_BCDST_2017mgm2m_noGFED.nc4')\n",
    "DD2017_mgm2y_noGFED=xr.open_dataset('DryDep_BCDST_2017mgm2y_noGFED.nc4')\n",
    "DD2018_mgm2d=xr.open_dataset('DryDep_BCDST_2018mgm2d.nc4')\n",
    "DD2018_mgm2m=xr.open_dataset('DryDep_BCDST_2018mgm2m.nc4')\n",
    "DD2018_mgm2y=xr.open_dataset('DryDep_BCDST_2018mgm2y.nc4')\n",
    "DD2018_mgm2d_noGFED=xr.open_dataset('DryDep_BCDST_2018mgm2d_noGFED.nc4')\n",
    "DD2018_mgm2m_noGFED=xr.open_dataset('DryDep_BCDST_2018mgm2m_noGFED.nc4')\n",
    "DD2018_mgm2y_noGFED=xr.open_dataset('DryDep_BCDST_2018mgm2y_noGFED.nc4')\n",
    "DD2019_mgm2d=xr.open_dataset('DryDep_BCDST_2019mgm2d.nc4')\n",
    "DD2019_mgm2m=xr.open_dataset('DryDep_BCDST_2019mgm2m.nc4')\n",
    "DD2019_mgm2y=xr.open_dataset('DryDep_BCDST_2019mgm2y.nc4')\n",
    "DD2019_mgm2d_noGFED=xr.open_dataset('DryDep_BCDST_2019mgm2d_noGFED.nc4')\n",
    "DD2019_mgm2m_noGFED=xr.open_dataset('DryDep_BCDST_2019mgm2m_noGFED.nc4')\n",
    "DD2019_mgm2y_noGFED=xr.open_dataset('DryDep_BCDST_2019mgm2y_noGFED.nc4')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "#uploading wetdep files for 2014-2016\n",
    "WLLS2014_mgm2d=xr.open_dataset(\"WetLossLS_BCDST_2014mgm2d.nc4\")\n",
    "WLConv2014_mgm2d=xr.open_dataset(\"WetLossConv_BCDST_2014mgm2d.nc4\")\n",
    "WLLS2014_mgm2m=xr.open_dataset(\"WetLossLS_BCDST_2014mgm2m.nc4\")\n",
    "WLConv2014_mgm2m=xr.open_dataset(\"WetLossConv_BCDST_2014mgm2m.nc4\")\n",
    "WLLS2014_mgm2y=xr.open_dataset(\"WetLossLS_BCDST_2014mgm2y.nc4\")\n",
    "WLConv2014_mgm2y=xr.open_dataset(\"WetLossConv_BCDST_2014mgm2y.nc4\")\n",
    "\n",
    "WLLS2014_mgm2d_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2014mgm2d_noGFED.nc4\")\n",
    "WLConv2014_mgm2d_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2014mgm2d_noGFED.nc4\")\n",
    "WLLS2014_mgm2m_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2014mgm2m_noGFED.nc4\")\n",
    "WLConv2014_mgm2m_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2014mgm2m_noGFED.nc4\")\n",
    "WLLS2014_mgm2y_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2014mgm2y_noGFED.nc4\")\n",
    "WLConv2014_mgm2y_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2014mgm2y_noGFED.nc4\")\n",
    "\n",
    "WLLS2015_mgm2d=xr.open_dataset(\"WetLossLS_BCDST_2015mgm2d.nc4\")\n",
    "WLConv2015_mgm2d=xr.open_dataset(\"WetLossConv_BCDST_2015mgm2d.nc4\")\n",
    "WLLS2015_mgm2m=xr.open_dataset(\"WetLossLS_BCDST_2015mgm2m.nc4\")\n",
    "WLConv2015_mgm2m=xr.open_dataset(\"WetLossConv_BCDST_2015mgm2m.nc4\")\n",
    "WLLS2015_mgm2y=xr.open_dataset(\"WetLossLS_BCDST_2015mgm2y.nc4\")\n",
    "WLConv2015_mgm2y=xr.open_dataset(\"WetLossConv_BCDST_2015mgm2y.nc4\")\n",
    "\n",
    "WLLS2015_mgm2d_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2015mgm2d_noGFED.nc4\")\n",
    "WLConv2015_mgm2d_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2015mgm2d_noGFED.nc4\")\n",
    "WLLS2015_mgm2m_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2015mgm2m_noGFED.nc4\")\n",
    "WLConv2015_mgm2m_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2015mgm2m_noGFED.nc4\")\n",
    "WLLS2015_mgm2y_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2015mgm2y_noGFED.nc4\")\n",
    "WLConv2015_mgm2y_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2015mgm2y_noGFED.nc4\")\n",
    "\n",
    "WLLS2016_mgm2d=xr.open_dataset(\"WetLossLS_BCDST_2016mgm2d.nc4\")\n",
    "WLConv2016_mgm2d=xr.open_dataset(\"WetLossConv_BCDST_2016mgm2d.nc4\")\n",
    "WLLS2016_mgm2m=xr.open_dataset(\"WetLossLS_BCDST_2016mgm2m.nc4\")\n",
    "WLConv2016_mgm2m=xr.open_dataset(\"WetLossConv_BCDST_2016mgm2m.nc4\")\n",
    "WLLS2016_mgm2y=xr.open_dataset(\"WetLossLS_BCDST_2016mgm2y.nc4\")\n",
    "WLConv2016_mgm2y=xr.open_dataset(\"WetLossConv_BCDST_2016mgm2y.nc4\")\n",
    "\n",
    "WLLS2016_mgm2d_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2016mgm2d_noGFED.nc4\")\n",
    "WLConv2016_mgm2d_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2016mgm2d_noGFED.nc4\")\n",
    "WLLS2016_mgm2m_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2016mgm2m_noGFED.nc4\")\n",
    "WLConv2016_mgm2m_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2016mgm2m_noGFED.nc4\")\n",
    "WLLS2016_mgm2y_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2016mgm2y_noGFED.nc4\")\n",
    "WLConv2016_mgm2y_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2016mgm2y_noGFED.nc4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "WLLS2017_mgm2d=xr.open_dataset(\"WetLossLS_BCDST_2017mgm2d.nc4\")\n",
    "WLConv2017_mgm2d=xr.open_dataset(\"WetLossConv_BCDST_2017mgm2d.nc4\")\n",
    "WLLS2017_mgm2m=xr.open_dataset(\"WetLossLS_BCDST_2017mgm2m.nc4\")\n",
    "WLConv2017_mgm2m=xr.open_dataset(\"WetLossConv_BCDST_2017mgm2m.nc4\")\n",
    "WLLS2017_mgm2y=xr.open_dataset(\"WetLossLS_BCDST_2017mgm2y.nc4\")\n",
    "WLConv2017_mgm2y=xr.open_dataset(\"WetLossConv_BCDST_2017mgm2y.nc4\")\n",
    "\n",
    "WLLS2017_mgm2d_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2017mgm2d_noGFED.nc4\")\n",
    "WLConv2017_mgm2d_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2017mgm2d_noGFED.nc4\")\n",
    "WLLS2017_mgm2m_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2017mgm2m_noGFED.nc4\")\n",
    "WLConv2017_mgm2m_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2017mgm2m_noGFED.nc4\")\n",
    "WLLS2017_mgm2y_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2017mgm2y_noGFED.nc4\")\n",
    "WLConv2017_mgm2y_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2017mgm2y_noGFED.nc4\")\n",
    "\n",
    "WLLS2018_mgm2d=xr.open_dataset(\"WetLossLS_BCDST_2018mgm2d.nc4\")\n",
    "WLConv2018_mgm2d=xr.open_dataset(\"WetLossConv_BCDST_2018mgm2d.nc4\")\n",
    "WLLS2018_mgm2m=xr.open_dataset(\"WetLossLS_BCDST_2018mgm2m.nc4\")\n",
    "WLConv2018_mgm2m=xr.open_dataset(\"WetLossConv_BCDST_2018mgm2m.nc4\")\n",
    "WLLS2018_mgm2y=xr.open_dataset(\"WetLossLS_BCDST_2018mgm2y.nc4\")\n",
    "WLConv2018_mgm2y=xr.open_dataset(\"WetLossConv_BCDST_2018mgm2y.nc4\")\n",
    "\n",
    "WLLS2018_mgm2d_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2018mgm2d_noGFED.nc4\")\n",
    "WLConv2018_mgm2d_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2018mgm2d_noGFED.nc4\")\n",
    "WLLS2018_mgm2m_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2018mgm2m_noGFED.nc4\")\n",
    "WLConv2018_mgm2m_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2018mgm2m_noGFED.nc4\")\n",
    "WLLS2018_mgm2y_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2018mgm2y_noGFED.nc4\")\n",
    "WLConv2018_mgm2y_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2018mgm2y_noGFED.nc4\")\n",
    "\n",
    "WLLS2019_mgm2d=xr.open_dataset(\"WetLossLS_BCDST_2019mgm2d.nc4\")\n",
    "WLConv2019_mgm2d=xr.open_dataset(\"WetLossConv_BCDST_2019mgm2d.nc4\")\n",
    "WLLS2019_mgm2m=xr.open_dataset(\"WetLossLS_BCDST_2019mgm2m.nc4\")\n",
    "WLConv2019_mgm2m=xr.open_dataset(\"WetLossConv_BCDST_2019mgm2m.nc4\")\n",
    "WLLS2019_mgm2y=xr.open_dataset(\"WetLossLS_BCDST_2019mgm2y.nc4\")\n",
    "WLConv2019_mgm2y=xr.open_dataset(\"WetLossConv_BCDST_2019mgm2y.nc4\")\n",
    "\n",
    "WLLS2019_mgm2d_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2019mgm2d_noGFED.nc4\")\n",
    "WLConv2019_mgm2d_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2019mgm2d_noGFED.nc4\")\n",
    "WLLS2019_mgm2m_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2019mgm2m_noGFED.nc4\")\n",
    "WLConv2019_mgm2m_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2019mgm2m_noGFED.nc4\")\n",
    "WLLS2019_mgm2y_noGFED=xr.open_dataset(\"WetLossLS_BCDST_2019mgm2y_noGFED.nc4\")\n",
    "WLConv2019_mgm2y_noGFED=xr.open_dataset(\"WetLossConv_BCDST_2019mgm2y_noGFED.nc4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_time_dim(DD_df, WDLS_df, WDConv_df,DD_df_noGFED, WDLS_df_noGFED, WDConv_df_noGFED, date_str):\n",
    "    times_val = np.datetime64(date_str)\n",
    "\n",
    "    DD_df = DD_df.assign_coords(time=times_val).expand_dims('time')\n",
    "    WDLS_df = WDLS_df.assign_coords(time=times_val).expand_dims('time')\n",
    "    WDConv_df = WDConv_df.assign_coords(time=times_val).expand_dims('time')\n",
    "    \n",
    "    DD_df_noGFED = DD_df_noGFED.assign_coords(time=times_val).expand_dims('time')\n",
    "    WDLS_df_noGFED = WDLS_df_noGFED.assign_coords(time=times_val).expand_dims('time')\n",
    "    WDConv_df_noGFED = WDConv_df_noGFED.assign_coords(time=times_val).expand_dims('time')\n",
    "\n",
    "    return DD_df, WDLS_df, WDConv_df , DD_df_noGFED, WDLS_df_noGFED, WDConv_df_noGFED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "##adding time dimension to yearly data\n",
    "DD2014_mgm2y, WLLS2014_mgm2y, WLConv2014_mgm2y,DD2014_mgm2y_noGFED, WLLS2014_mgm2y_noGFED, WLConv2014_mgm2y_noGFED= add_time_dim(DD2014_mgm2y, WLLS2014_mgm2y, WLConv2014_mgm2y,DD2014_mgm2y_noGFED, WLLS2014_mgm2y_noGFED, WLConv2014_mgm2y_noGFED, \"2014-01-01\" )\n",
    "DD2015_mgm2y, WLLS2015_mgm2y, WLConv2015_mgm2y,DD2015_mgm2y_noGFED, WLLS2015_mgm2y_noGFED, WLConv2015_mgm2y_noGFED= add_time_dim(DD2015_mgm2y, WLLS2015_mgm2y, WLConv2015_mgm2y, DD2015_mgm2y_noGFED, WLLS2015_mgm2y_noGFED, WLConv2015_mgm2y_noGFED, \"2015-01-01\" )\n",
    "DD2016_mgm2y, WLLS2016_mgm2y, WLConv2016_mgm2y,DD2016_mgm2y_noGFED, WLLS2016_mgm2y_noGFED, WLConv2016_mgm2y_noGFED= add_time_dim(DD2016_mgm2y, WLLS2016_mgm2y, WLConv2016_mgm2y,DD2016_mgm2y_noGFED, WLLS2016_mgm2y_noGFED, WLConv2016_mgm2y_noGFED, \"2016-01-01\" )\n",
    "DD2017_mgm2y, WLLS2017_mgm2y, WLConv2017_mgm2y, DD2017_mgm2y_noGFED, WLLS2017_mgm2y_noGFED, WLConv2017_mgm2y_noGFED= add_time_dim(DD2017_mgm2y, WLLS2017_mgm2y, WLConv2017_mgm2y, DD2017_mgm2y_noGFED, WLLS2017_mgm2y_noGFED, WLConv2017_mgm2y_noGFED,\"2017-01-01\" )\n",
    "DD2018_mgm2y, WLLS2018_mgm2y, WLConv2018_mgm2y, DD2018_mgm2y_noGFED, WLLS2018_mgm2y_noGFED, WLConv2018_mgm2y_noGFED= add_time_dim(DD2018_mgm2y, WLLS2018_mgm2y, WLConv2018_mgm2y, DD2018_mgm2y_noGFED, WLLS2018_mgm2y_noGFED, WLConv2018_mgm2y_noGFED, \"2018-01-01\" )\n",
    "DD2019_mgm2y, WLLS2019_mgm2y, WLConv2019_mgm2y, DD2019_mgm2y_noGFED, WLLS2019_mgm2y_noGFED, WLConv2019_mgm2y_noGFED= add_time_dim(DD2019_mgm2y, WLLS2019_mgm2y, WLConv2019_mgm2y, DD2019_mgm2y_noGFED, WLLS2019_mgm2y_noGFED, WLConv2019_mgm2y_noGFED, \"2019-01-01\" )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (lat: 151, lon: 89, time: 1)\n",
       "Coordinates:\n",
       "  * lat          (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "  * lon          (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "  * time         (time) datetime64[ns] 2019-01-01\n",
       "Data variables:\n",
       "    DryDep_DST1  (time, lat, lon) float32 2.658 2.65 2.646 ... 450.5 465.7 460.7\n",
       "    DryDep_DST2  (time, lat, lon) float32 0.1359 0.1345 ... 1.144e+03 1.137e+03\n",
       "    DryDep_DST3  (time, lat, lon) float32 0.4221 0.4177 ... 3.063e+03 3.054e+03\n",
       "    DryDep_DST4  (time, lat, lon) float32 0.4515 0.4473 ... 2.868e+03 2.859e+03\n",
       "    DryDep_BCPI  (time, lat, lon) float32 0.03751 0.03754 ... 1.115 1.097\n",
       "    DryDep_BCPO  (time, lat, lon) float32 0.003648 0.003673 ... 0.07444 0.07391\n",
       "Attributes:\n",
       "    units:    mg m-2 yr-1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b76d4e74-8b7b-4e99-bbeb-2629b5dcae14' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b76d4e74-8b7b-4e99-bbeb-2629b5dcae14' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9a1a9bc9-6023-45ad-8b37-af4f69c99a45' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a1a9bc9-6023-45ad-8b37-af4f69c99a45' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-3248460e-40a9-42fe-9ac2-45026344b17c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3248460e-40a9-42fe-9ac2-45026344b17c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b4fe930-1dfa-4973-b652-6e524b39dcc9' class='xr-var-data-in' type='checkbox'><label for='data-5b4fe930-1dfa-4973-b652-6e524b39dcc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-c4d0038a-dab9-400e-94f2-51b60bb1370b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4d0038a-dab9-400e-94f2-51b60bb1370b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feac2539-3dee-45ca-a29a-811df2d92021' class='xr-var-data-in' type='checkbox'><label for='data-feac2539-3dee-45ca-a29a-811df2d92021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-01-01</div><input id='attrs-0d8b74dc-9f32-448d-b77a-f96ada7833d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d8b74dc-9f32-448d-b77a-f96ada7833d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74fba522-2c0e-49a4-871f-632f4895b36e' class='xr-var-data-in' type='checkbox'><label for='data-74fba522-2c0e-49a4-871f-632f4895b36e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cdf34c7f-843c-4562-ae6b-2723a5ebd924' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cdf34c7f-843c-4562-ae6b-2723a5ebd924' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST1</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.658 2.65 2.646 ... 465.7 460.7</div><input id='attrs-fe83e094-0717-4e8d-9b90-191507e36a53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe83e094-0717-4e8d-9b90-191507e36a53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bacd248-ede4-4bdf-8c0c-2bfcb5fe1471' class='xr-var-data-in' type='checkbox'><label for='data-9bacd248-ede4-4bdf-8c0c-2bfcb5fe1471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[  2.6581502,   2.649803 ,   2.646252 , ...,   3.2851372,\n",
       "           3.2760997,   3.2759893],\n",
       "        [  2.7416215,   2.7641742,   2.7458239, ...,   3.5142229,\n",
       "           3.5068722,   3.3834007],\n",
       "        [  2.9221098,   2.9141695,   2.8938193, ...,   4.0005474,\n",
       "           4.426741 ,   3.915452 ],\n",
       "        ...,\n",
       "        [ 59.31052  ,  58.087685 ,  72.87761  , ..., 461.97952  ,\n",
       "         434.33685  , 471.1594   ],\n",
       "        [ 59.50851  ,  54.291702 ,  69.51917  , ..., 469.15186  ,\n",
       "         484.70865  , 477.32947  ],\n",
       "        [ 54.587112 ,  56.241673 ,  58.40881  , ..., 450.4726   ,\n",
       "         465.71997  , 460.67966  ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1359 0.1345 ... 1.137e+03</div><input id='attrs-8cfe457e-b056-458d-a46d-1382c437108d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8cfe457e-b056-458d-a46d-1382c437108d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43e61bf6-48de-49fb-bf28-2c19df312134' class='xr-var-data-in' type='checkbox'><label for='data-43e61bf6-48de-49fb-bf28-2c19df312134' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1.3586982e-01, 1.3454221e-01, 1.4558539e-01, ...,\n",
       "         1.0624003e+00, 1.0297992e+00, 1.0383725e+00],\n",
       "        [1.4168619e-01, 1.4650965e-01, 1.5795942e-01, ...,\n",
       "         1.1353528e+00, 1.1109846e+00, 1.0605748e+00],\n",
       "        [1.4981639e-01, 1.4938216e-01, 1.6244733e-01, ...,\n",
       "         1.6386343e+00, 1.8060453e+00, 1.5494118e+00],\n",
       "        ...,\n",
       "        [6.3775024e+01, 6.1788914e+01, 7.7906563e+01, ...,\n",
       "         1.0927280e+03, 1.0175034e+03, 1.1719878e+03],\n",
       "        [6.2622711e+01, 5.5719418e+01, 5.9028172e+01, ...,\n",
       "         1.0759174e+03, 1.1552301e+03, 1.1799651e+03],\n",
       "        [6.3280163e+01, 6.0648407e+01, 6.1464573e+01, ...,\n",
       "         1.0590985e+03, 1.1440737e+03, 1.1372750e+03]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4221 0.4177 ... 3.054e+03</div><input id='attrs-4ca4bfe3-47f7-4bc4-aefd-a1cde29b10ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ca4bfe3-47f7-4bc4-aefd-a1cde29b10ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce7eb69a-c7f5-4bf5-9234-4d1f53b24c9c' class='xr-var-data-in' type='checkbox'><label for='data-ce7eb69a-c7f5-4bf5-9234-4d1f53b24c9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[4.2205849e-01, 4.1772538e-01, 4.4735441e-01, ...,\n",
       "         3.7762494e+00, 3.6950965e+00, 3.7417681e+00],\n",
       "        [4.4640020e-01, 4.4692710e-01, 4.7553670e-01, ...,\n",
       "         4.0001774e+00, 3.9483454e+00, 3.7684479e+00],\n",
       "        [4.7380096e-01, 4.7156698e-01, 5.0694430e-01, ...,\n",
       "         5.6514702e+00, 6.3480673e+00, 5.3571668e+00],\n",
       "        ...,\n",
       "        [2.2111736e+02, 2.0846555e+02, 2.7419937e+02, ...,\n",
       "         2.8283792e+03, 2.6146770e+03, 3.1232085e+03],\n",
       "        [2.1377185e+02, 1.7972151e+02, 1.4785692e+02, ...,\n",
       "         2.7263579e+03, 2.9945576e+03, 3.1422527e+03],\n",
       "        [2.1583809e+02, 1.8991206e+02, 1.7953198e+02, ...,\n",
       "         2.7598535e+03, 3.0628467e+03, 3.0544443e+03]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST4</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4515 0.4473 ... 2.859e+03</div><input id='attrs-e0966338-cc03-4b52-8b3b-b41b58bcd3da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0966338-cc03-4b52-8b3b-b41b58bcd3da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8828f04-7e81-41ca-9466-fb201c3b5c08' class='xr-var-data-in' type='checkbox'><label for='data-f8828f04-7e81-41ca-9466-fb201c3b5c08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[4.5148253e-01, 4.4731727e-01, 4.7497359e-01, ...,\n",
       "         9.1902618e+00, 9.3252335e+00, 9.4062672e+00],\n",
       "        [4.7348025e-01, 4.6289575e-01, 4.8960850e-01, ...,\n",
       "         9.5588760e+00, 9.7474136e+00, 9.3620358e+00],\n",
       "        [4.8019728e-01, 4.8137477e-01, 5.0740665e-01, ...,\n",
       "         1.3638462e+01, 1.5500597e+01, 1.3033648e+01],\n",
       "        ...,\n",
       "        [7.7521141e+01, 7.2091713e+01, 1.1462479e+02, ...,\n",
       "         2.3781262e+03, 2.3944133e+03, 2.7954316e+03],\n",
       "        [7.4415649e+01, 6.3867771e+01, 5.6954815e+01, ...,\n",
       "         2.2950430e+03, 2.6717566e+03, 2.8211082e+03],\n",
       "        [8.0623352e+01, 7.1828125e+01, 7.7344757e+01, ...,\n",
       "         2.4420386e+03, 2.8681748e+03, 2.8593191e+03]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_BCPI</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03751 0.03754 ... 1.115 1.097</div><input id='attrs-caad7e4a-e22f-430f-b545-c1d3e093c0fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-caad7e4a-e22f-430f-b545-c1d3e093c0fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a88c721-4fa3-4efe-a1de-815ee17379a8' class='xr-var-data-in' type='checkbox'><label for='data-4a88c721-4fa3-4efe-a1de-815ee17379a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.03750642, 0.03754112, 0.03902507, ..., 0.02983473,\n",
       "         0.02862702, 0.02848618],\n",
       "        [0.03861851, 0.03913324, 0.04027257, ..., 0.03197397,\n",
       "         0.03065448, 0.02992208],\n",
       "        [0.0415356 , 0.04178602, 0.04310409, ..., 0.0388223 ,\n",
       "         0.04441949, 0.03689268],\n",
       "        ...,\n",
       "        [1.5587221 , 1.4667988 , 1.6070229 , ..., 1.1412842 ,\n",
       "         1.4755291 , 1.1334162 ],\n",
       "        [1.5256554 , 1.3502662 , 1.5103549 , ..., 1.468052  ,\n",
       "         1.5118623 , 1.1559894 ],\n",
       "        [1.3388426 , 1.477911  , 1.3023975 , ..., 1.0990477 ,\n",
       "         1.1147754 , 1.0968972 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_BCPO</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003648 0.003673 ... 0.07391</div><input id='attrs-c9123f38-a833-4487-b22b-fe087e6a2c9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9123f38-a833-4487-b22b-fe087e6a2c9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd0f421-126b-4c61-b6eb-91ea5c0ecb99' class='xr-var-data-in' type='checkbox'><label for='data-ddd0f421-126b-4c61-b6eb-91ea5c0ecb99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.00364789, 0.00367298, 0.00441628, ..., 0.00299821,\n",
       "         0.00274947, 0.00275686],\n",
       "        [0.00372155, 0.00365256, 0.00431057, ..., 0.00312479,\n",
       "         0.0029025 , 0.00291467],\n",
       "        [0.0041517 , 0.00419036, 0.00498187, ..., 0.00379841,\n",
       "         0.00362903, 0.0035934 ],\n",
       "        ...,\n",
       "        [1.3928806 , 1.2668204 , 1.2963455 , ..., 0.06349562,\n",
       "         0.06964917, 0.07990197],\n",
       "        [1.3471059 , 1.2154777 , 1.1263644 , ..., 0.05946683,\n",
       "         0.07394901, 0.08136795],\n",
       "        [0.9749106 , 1.2278675 , 1.0409307 , ..., 0.05959841,\n",
       "         0.07443693, 0.07391216]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e275fa2f-edfd-4a21-98a5-7bc95ff4fd35' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e275fa2f-edfd-4a21-98a5-7bc95ff4fd35' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mg m-2 yr-1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (lat: 151, lon: 89, time: 1)\n",
       "Coordinates:\n",
       "  * lat          (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "  * lon          (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "  * time         (time) datetime64[ns] 2019-01-01\n",
       "Data variables:\n",
       "    DryDep_DST1  (time, lat, lon) float32 2.658 2.65 2.646 ... 450.5 465.7 460.7\n",
       "    DryDep_DST2  (time, lat, lon) float32 0.1359 0.1345 ... 1.144e+03 1.137e+03\n",
       "    DryDep_DST3  (time, lat, lon) float32 0.4221 0.4177 ... 3.063e+03 3.054e+03\n",
       "    DryDep_DST4  (time, lat, lon) float32 0.4515 0.4473 ... 2.868e+03 2.859e+03\n",
       "    DryDep_BCPI  (time, lat, lon) float32 0.03751 0.03754 ... 1.115 1.097\n",
       "    DryDep_BCPO  (time, lat, lon) float32 0.003648 0.003673 ... 0.07444 0.07391\n",
       "Attributes:\n",
       "    units:    mg m-2 yr-1"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DD2019_mgm2y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get thermal years plots\n",
    "* Total: anthro, fires BC & Dust (6 plots total for 1 yr)\n",
    "* Wet dep: anthro, fires BC & Dust (6 plots total for 1 yr)\n",
    "* Dry dep: anthro, fires BC & Dust (6 plots total for 1 yr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### add to total BC deposition\n",
    "def BCDST_flux_parts(DD_dataset, WLLS_dataset, WLConv_dataset, units):\n",
    "    BCDST_flux=xr.Dataset()\n",
    "    BCDST_flux['BC_flux']=DD_dataset['DryDep_BCPI']+DD_dataset['DryDep_BCPO']+WLLS_dataset['WetLossLS_BCPI'] +WLLS_dataset['WetLossLS_BCPO'] + WLConv_dataset['WetLossConv_BCPI'] + WLConv_dataset['WetLossConv_BCPO']\n",
    "    BCDST_flux['BC_flux'].attrs['units']=units\n",
    "    #BC wet deposition\n",
    "    BCDST_flux['WetLossLS_BC']=WLLS_dataset['WetLossLS_BCPI'] +WLLS_dataset['WetLossLS_BCPO']\n",
    "    BCDST_flux['WetLossLS_BC'].attrs['units']=units\n",
    "    BCDST_flux['WetLossConv_BC']=WLConv_dataset['WetLossConv_BCPI'] + WLConv_dataset['WetLossConv_BCPO']\n",
    "    BCDST_flux['WetLossConv_BC'].attrs['units']=units\n",
    "    BCDST_flux['WetLossTotal_BC']=WLLS_dataset['WetLossLS_BCPI'] +WLLS_dataset['WetLossLS_BCPO'] + WLConv_dataset['WetLossConv_BCPI'] + WLConv_dataset['WetLossConv_BCPO']\n",
    "    BCDST_flux['WetLossTotal_BC'].attrs['units']=units\n",
    "    #dry dep for BC\n",
    "    BCDST_flux['DryDep_BC']=DD_dataset['DryDep_BCPI']+DD_dataset['DryDep_BCPO']\n",
    "    BCDST_flux['DryDep_BC'].attrs['units']=units\n",
    "    ##DUST SECTION\n",
    "    BCDST_flux['DST_flux']=(DD_dataset['DryDep_DST1']+DD_dataset['DryDep_DST2']+DD_dataset['DryDep_DST3']+DD_dataset['DryDep_DST4']+\n",
    "                               WLLS_dataset['WetLossLS_DST1'] +WLLS_dataset['WetLossLS_DST2'] + WLLS_dataset['WetLossLS_DST3'] +WLLS_dataset['WetLossLS_DST4'] +\n",
    "                               WLConv_dataset['WetLossConv_DST1'] + WLConv_dataset['WetLossConv_DST2']+WLConv_dataset['WetLossConv_DST3'] + WLConv_dataset['WetLossConv_DST4'])\n",
    "    BCDST_flux['DST_flux'].attrs['units']=units\n",
    "   \n",
    "    BCDST_flux['WetLossLS_DST']=(WLLS_dataset['WetLossLS_DST1'] +WLLS_dataset['WetLossLS_DST2'] + WLLS_dataset['WetLossLS_DST3'] +WLLS_dataset['WetLossLS_DST4'])\n",
    "    BCDST_flux['WetLossLS_DST'].attrs['units']=units\n",
    "    BCDST_flux['WetLoss_DST1']=WLLS_dataset['WetLossLS_DST1']+ WLConv_dataset['WetLossConv_DST1']\n",
    "    BCDST_flux['WetLoss_DST1'].attrs['units']=units\n",
    "    BCDST_flux['WetLoss_DST2']=WLLS_dataset['WetLossLS_DST2']+ WLConv_dataset['WetLossConv_DST2']\n",
    "    BCDST_flux['WetLoss_DST2'].attrs['units']=units\n",
    "    BCDST_flux['WetLoss_DST3']=WLLS_dataset['WetLossLS_DST3']+ WLConv_dataset['WetLossConv_DST3']\n",
    "    BCDST_flux['WetLoss_DST3'].attrs['units']=units\n",
    "    BCDST_flux['WetLoss_DST4']=WLLS_dataset['WetLossLS_DST4']+ WLConv_dataset['WetLossConv_DST4']\n",
    "    BCDST_flux['WetLoss_DST4'].attrs['units']=units\n",
    "    BCDST_flux['WetLossConv_DST']=(WLConv_dataset['WetLossConv_DST1'] + WLConv_dataset['WetLossConv_DST2']+WLConv_dataset['WetLossConv_DST3'] + WLConv_dataset['WetLossConv_DST4'])\n",
    "    BCDST_flux['WetLossConv_DST'].attrs['units']=units\n",
    "    BCDST_flux['WetLossTotal_DST']=(WLLS_dataset['WetLossLS_DST1'] +WLLS_dataset['WetLossLS_DST2'] + WLLS_dataset['WetLossLS_DST3'] +WLLS_dataset['WetLossLS_DST4'] +\n",
    "                               WLConv_dataset['WetLossConv_DST1'] + WLConv_dataset['WetLossConv_DST2']+WLConv_dataset['WetLossConv_DST3'] + WLConv_dataset['WetLossConv_DST4'])\n",
    "    BCDST_flux['WetLossTotal_DST'].attrs['units']=units\n",
    "    # dry dep for dust\n",
    "    BCDST_flux['DryDep_DST']=(DD_dataset['DryDep_DST1']+DD_dataset['DryDep_DST2']+DD_dataset['DryDep_DST3']+DD_dataset['DryDep_DST4'])\n",
    "    BCDST_flux['DryDep_DST'].attrs['units']=units\n",
    "    BCDST_flux['DryDep_DST1']=DD_dataset['DryDep_DST1']\n",
    "    BCDST_flux['DryDep_DST1'].attrs['units']=units\n",
    "    BCDST_flux['DryDep_DST2']=DD_dataset['DryDep_DST2']\n",
    "    BCDST_flux['DryDep_DST2'].attrs['units']=units\n",
    "    BCDST_flux['DryDep_DST3']=DD_dataset['DryDep_DST3']\n",
    "    BCDST_flux['DryDep_DST3'].attrs['units']=units\n",
    "    BCDST_flux['DryDep_DST4']=DD_dataset['DryDep_DST4']\n",
    "    BCDST_flux['DryDep_DST4'].attrs['units']=units\n",
    "    \n",
    "    return BCDST_flux"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### add to total Dust deposition\n",
    "def DST_flux_parts(DD_dataset, WLLS_dataset, WLConv_dataset, units):\n",
    "    DST_flux_total=xr.Dataset()\n",
    "    DST_flux_total['DST_flux']=(DD_dataset['DryDep_DST1']+DD_dataset['DryDep_DST2']+DD_dataset['DryDep_DST3']+DD_dataset['DryDep_DST4']+\n",
    "                               WLLS_dataset['WetLossLS_DST1'] +WLLS_dataset['WetLossLS_DST2'] + WLLS_dataset['WetLossLS_DST3'] +WLLS_dataset['WetLossLS_DST4'] +\n",
    "                               WLConv_dataset['WetLossConv_DST1'] + WLConv_dataset['WetLossConv_DST2']+WLConv_dataset['WetLossConv_DST3'] + WLConv_dataset['WetLossConv_DST4'])\n",
    "    DST_flux_total['DST_flux'].attrs['units']=units\n",
    "    DST_flux_WL=xr.Dataset()\n",
    "    DST_flux_WL['DST_flux']=(WLLS_dataset['WetLossLS_DST1'] +WLLS_dataset['WetLossLS_DST2'] + WLLS_dataset['WetLossLS_DST3'] +WLLS_dataset['WetLossLS_DST4'] +\n",
    "                               WLConv_dataset['WetLossConv_DST1'] + WLConv_dataset['WetLossConv_DST2']+WLConv_dataset['WetLossConv_DST3'] + WLConv_dataset['WetLossConv_DST4'])\n",
    "    DST_flux_WL['DST_flux'].attrs['units']=units\n",
    "    DST_flux_DD=xr.Dataset()\n",
    "    DST_flux_DD['DST_flux']=(DD_dataset['DryDep_DST1']+DD_dataset['DryDep_DST2']+DD_dataset['DryDep_DST3']+DD_dataset['DryDep_DST4'])\n",
    "    DST_flux_DD['DST_flux'].attrs['units']=units\n",
    "    \n",
    "    return DST_flux_total, DST_flux_WL, DST_flux_DD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "## merge 2014-2019 monthly, and daily WetDep LS, Conv, and Dry dep files into 3\n",
    "##then run BC & DST parts\n",
    "\n",
    "##daily data merge\n",
    "DD_2014_19_mgm2d=xr.merge([DD2014_mgm2d,DD2015_mgm2d,DD2016_mgm2d,DD2017_mgm2d,DD2018_mgm2d,DD2019_mgm2d])\n",
    "DD_2014_19_mgm2d_noGFED=xr.merge([DD2014_mgm2d_noGFED,DD2015_mgm2d_noGFED,DD2016_mgm2d_noGFED,\n",
    "                                DD2017_mgm2d_noGFED,DD2018_mgm2d_noGFED,DD2019_mgm2d_noGFED])\n",
    "\n",
    "WDLS_2014_19_mgm2d=xr.merge([WLLS2014_mgm2d,WLLS2015_mgm2d,WLLS2016_mgm2d,WLLS2017_mgm2d,WLLS2018_mgm2d,WLLS2019_mgm2d])\n",
    "WDLS_2014_19_mgm2d_noGFED=xr.merge([WLLS2014_mgm2d_noGFED,WLLS2015_mgm2d_noGFED,WLLS2016_mgm2d_noGFED,\n",
    "                                WLLS2017_mgm2d_noGFED,WLLS2018_mgm2d_noGFED,WLLS2019_mgm2d_noGFED])\n",
    "\n",
    "WDConv_2014_19_mgm2d=xr.merge([WLConv2014_mgm2d,WLConv2015_mgm2d,WLConv2016_mgm2d,WLConv2017_mgm2d,WLConv2018_mgm2d,WLConv2019_mgm2d])\n",
    "WDConv_2014_19_mgm2d_noGFED=xr.merge([WLConv2014_mgm2d_noGFED,WLConv2015_mgm2d_noGFED,WLConv2016_mgm2d_noGFED,\n",
    "                                WLConv2017_mgm2d_noGFED,WLConv2018_mgm2d_noGFED,WLConv2019_mgm2d_noGFED])\n",
    "\n",
    "##monthly data merge\n",
    "DD_2014_19_mgm2m=xr.merge([DD2014_mgm2m,DD2015_mgm2m,DD2016_mgm2m,DD2017_mgm2m,DD2018_mgm2m,DD2019_mgm2m])\n",
    "DD_2014_19_mgm2m_noGFED=xr.merge([DD2014_mgm2m_noGFED,DD2015_mgm2m_noGFED,DD2016_mgm2m_noGFED,\n",
    "                                DD2017_mgm2m_noGFED,DD2018_mgm2m_noGFED,DD2019_mgm2m_noGFED])\n",
    "\n",
    "WDLS_2014_19_mgm2m=xr.merge([WLLS2014_mgm2m,WLLS2015_mgm2m,WLLS2016_mgm2m,WLLS2017_mgm2m,WLLS2018_mgm2m,WLLS2019_mgm2m])\n",
    "WDLS_2014_19_mgm2m_noGFED=xr.merge([WLLS2014_mgm2m_noGFED,WLLS2015_mgm2m_noGFED,WLLS2016_mgm2m_noGFED,\n",
    "                                WLLS2017_mgm2m_noGFED,WLLS2018_mgm2m_noGFED,WLLS2019_mgm2m_noGFED])\n",
    "\n",
    "WDConv_2014_19_mgm2m=xr.merge([WLConv2014_mgm2m,WLConv2015_mgm2m,WLConv2016_mgm2m,WLConv2017_mgm2m,WLConv2018_mgm2m,WLConv2019_mgm2m])\n",
    "WDConv_2014_19_mgm2m_noGFED=xr.merge([WLConv2014_mgm2m_noGFED,WLConv2015_mgm2m_noGFED,WLConv2016_mgm2m_noGFED,\n",
    "                                WLConv2017_mgm2m_noGFED,WLConv2018_mgm2m_noGFED,WLConv2019_mgm2m_noGFED])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2afb77a37be0>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "WDLS_2014_19_mgm2m['WetLossLS_BCPI'][2].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "### merging 2014-2019 year deposition not working\n",
    "##yearly data merge\n",
    "DD_2014_19_mgm2y=xr.merge([DD2014_mgm2y,DD2015_mgm2y,DD2016_mgm2y,DD2017_mgm2y,DD2018_mgm2y,DD2019_mgm2y])\n",
    "DD_2014_19_mgm2y_noGFED=xr.merge([DD2014_mgm2y_noGFED,DD2015_mgm2y_noGFED,DD2016_mgm2y_noGFED,\n",
    "                                DD2017_mgm2y_noGFED,DD2018_mgm2y_noGFED,DD2019_mgm2y_noGFED])\n",
    "\n",
    "WDLS_2014_19_mgm2y=xr.merge([WLLS2014_mgm2y,WLLS2015_mgm2y,WLLS2016_mgm2y,WLLS2017_mgm2y,WLLS2018_mgm2y,WLLS2019_mgm2y])\n",
    "WDLS_2014_19_mgm2y_noGFED=xr.merge([WLLS2014_mgm2y_noGFED,WLLS2015_mgm2y_noGFED,WLLS2016_mgm2y_noGFED,\n",
    "                                WLLS2017_mgm2y_noGFED,WLLS2018_mgm2y_noGFED,WLLS2019_mgm2y_noGFED])\n",
    "\n",
    "WDConv_2014_19_mgm2y=xr.merge([WLConv2014_mgm2y,WLConv2015_mgm2y,WLConv2016_mgm2y,WLConv2017_mgm2y,WLConv2018_mgm2y,WLConv2019_mgm2y])\n",
    "WDConv_2014_19_mgm2y_noGFED=xr.merge([WLConv2014_mgm2y_noGFED,WLConv2015_mgm2y_noGFED,WLConv2016_mgm2y_noGFED,\n",
    "                                WLConv2017_mgm2y_noGFED,WLConv2018_mgm2y_noGFED,WLConv2019_mgm2y_noGFED])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "##then run BC & DST parts for monthly, and daily\n",
    "BCDST_flux2014_19d = BCDST_flux_parts(DD_2014_19_mgm2d,WDLS_2014_19_mgm2d, WDConv_2014_19_mgm2d,'mg m-2 day-1')\n",
    "BCDST_flux2014_19m = BCDST_flux_parts(DD_2014_19_mgm2m,WDLS_2014_19_mgm2m, WDConv_2014_19_mgm2m,'mg m-2 month-1')\n",
    "BCDST_flux2014_19y = BCDST_flux_parts(DD_2014_19_mgm2y,WDLS_2014_19_mgm2y, WDConv_2014_19_mgm2y,'mg m-2 year-1')\n",
    "\n",
    "BCDST_flux2014_19d_noGFED = BCDST_flux_parts(DD_2014_19_mgm2d_noGFED,WDLS_2014_19_mgm2d_noGFED, WDConv_2014_19_mgm2d_noGFED,'mg m-2 day-1')\n",
    "BCDST_flux2014_19m_noGFED = BCDST_flux_parts(DD_2014_19_mgm2m_noGFED,WDLS_2014_19_mgm2m_noGFED, WDConv_2014_19_mgm2m_noGFED,'mg m-2 month-1')\n",
    "BCDST_flux2014_19y_noGFED = BCDST_flux_parts(DD_2014_19_mgm2y_noGFED,WDLS_2014_19_mgm2y_noGFED, WDConv_2014_19_mgm2y_noGFED,'mg m-2 year-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt {\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * lat               (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 14.0 14.5 15.0\n",
       "  * lon               (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "Data variables: (12/18)\n",
       "    BC_flux           (lat, lon) float32 0.02473 0.02483 0.02662 ... 1.051 1.041\n",
       "    WetLossLS_BC      (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossConv_BC    (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossTotal_BC   (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_BC         (lat, lon) float32 0.02473 0.02483 0.02662 ... 1.051 1.041\n",
       "    DST_flux          (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03\n",
       "    ...                ...\n",
       "    WetLossTotal_DST  (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_DST        (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03\n",
       "    DryDep_DST1       (lat, lon) float32 2.023 2.025 2.025 ... 449.7 473.5 470.1\n",
       "    DryDep_DST2       (lat, lon) float32 0.06366 0.06367 ... 1.111e+03 1.107e+03\n",
       "    DryDep_DST3       (lat, lon) float32 0.2199 0.2201 ... 3.018e+03 3.011e+03\n",
       "    DryDep_DST4       (lat, lon) float32 0.2857 0.2862 ... 3.245e+03 3.235e+03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f6a4c405-0d9e-4d87-bf1c-3c1ca380527b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6a4c405-0d9e-4d87-bf1c-3c1ca380527b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-213ed70b-bd8d-450a-88fe-eaf03f74783a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-213ed70b-bd8d-450a-88fe-eaf03f74783a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-d2a69cb2-07e8-40bf-9bfd-9ed723148c83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2a69cb2-07e8-40bf-9bfd-9ed723148c83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a8aafae-6d9a-4f02-b75a-60e422b75c95' class='xr-var-data-in' type='checkbox'><label for='data-8a8aafae-6d9a-4f02-b75a-60e422b75c95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-5e9530d5-6a1c-460d-b0b7-3dc6148d9ba0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e9530d5-6a1c-460d-b0b7-3dc6148d9ba0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-399365db-ea15-4547-a589-27263f742a9d' class='xr-var-data-in' type='checkbox'><label for='data-399365db-ea15-4547-a589-27263f742a9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92c7de6a-c3a5-4d74-8e5a-2090031a5f0f' class='xr-section-summary-in' type='checkbox'  ><label for='section-92c7de6a-c3a5-4d74-8e5a-2090031a5f0f' class='xr-section-summary' >Data variables: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>BC_flux</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02473 0.02483 ... 1.051 1.041</div><input id='attrs-e85d5cda-6554-4cb0-9a2a-0f1092e6dde5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e85d5cda-6554-4cb0-9a2a-0f1092e6dde5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e685115c-d3c7-4b38-a623-21d78dda0eff' class='xr-var-data-in' type='checkbox'><label for='data-e685115c-d3c7-4b38-a623-21d78dda0eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.02472672, 0.02482746, 0.02662408, ..., 0.030445  , 0.0288731 ,\n",
       "        0.02791337],\n",
       "       [0.02495428, 0.02541185, 0.02693331, ..., 0.03731602, 0.0343875 ,\n",
       "        0.03316544],\n",
       "       [0.02681708, 0.02689222, 0.02891438, ..., 0.05324823, 0.05673321,\n",
       "        0.04810776],\n",
       "       ...,\n",
       "       [2.1683693 , 1.9517075 , 1.882362  , ..., 1.0295717 , 1.1588267 ,\n",
       "        1.0705539 ],\n",
       "       [2.0297782 , 1.7549964 , 1.8592628 , ..., 1.1703186 , 1.2360972 ,\n",
       "        1.092214  ],\n",
       "       [1.5530564 , 1.6637806 , 1.4583964 , ..., 0.994899  , 1.05139   ,\n",
       "        1.041159  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossLS_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7c5c95a3-681b-45d0-8f81-18667c7df717' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c5c95a3-681b-45d0-8f81-18667c7df717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f11af0-838b-4889-8023-d1aba18e5524' class='xr-var-data-in' type='checkbox'><label for='data-c8f11af0-838b-4889-8023-d1aba18e5524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossConv_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d998b5c2-a7f0-490d-8973-c459cb1e6a93' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d998b5c2-a7f0-490d-8973-c459cb1e6a93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba8d1842-e7da-4bca-a05f-ec4f185bb4fd' class='xr-var-data-in' type='checkbox'><label for='data-ba8d1842-e7da-4bca-a05f-ec4f185bb4fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossTotal_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7dbd33e2-f0dd-4759-8dd3-37d6d9bec97f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7dbd33e2-f0dd-4759-8dd3-37d6d9bec97f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-613a0281-f8f6-4028-a610-b526ef87ccd2' class='xr-var-data-in' type='checkbox'><label for='data-613a0281-f8f6-4028-a610-b526ef87ccd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02473 0.02483 ... 1.051 1.041</div><input id='attrs-9fc2069e-e310-472d-8f07-6270a66c7d6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9fc2069e-e310-472d-8f07-6270a66c7d6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06f6d2c8-bf83-4509-88b8-80b1deaafd22' class='xr-var-data-in' type='checkbox'><label for='data-06f6d2c8-bf83-4509-88b8-80b1deaafd22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.02472672, 0.02482746, 0.02662408, ..., 0.030445  , 0.0288731 ,\n",
       "        0.02791337],\n",
       "       [0.02495428, 0.02541185, 0.02693331, ..., 0.03731602, 0.0343875 ,\n",
       "        0.03316544],\n",
       "       [0.02681708, 0.02689222, 0.02891438, ..., 0.05324823, 0.05673321,\n",
       "        0.04810776],\n",
       "       ...,\n",
       "       [2.1683693 , 1.9517075 , 1.882362  , ..., 1.0295717 , 1.1588267 ,\n",
       "        1.0705539 ],\n",
       "       [2.0297782 , 1.7549964 , 1.8592628 , ..., 1.1703186 , 1.2360972 ,\n",
       "        1.092214  ],\n",
       "       [1.5530564 , 1.6637806 , 1.4583964 , ..., 0.994899  , 1.05139   ,\n",
       "        1.041159  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DST_flux</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.593 2.595 ... 7.847e+03 7.823e+03</div><input id='attrs-6d43451a-1b40-4815-bfd4-f3c00586b07f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d43451a-1b40-4815-bfd4-f3c00586b07f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91f1bbb9-6a6f-4ea7-af7a-5d89ee4061aa' class='xr-var-data-in' type='checkbox'><label for='data-91f1bbb9-6a6f-4ea7-af7a-5d89ee4061aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.59258962e+00, 2.59526515e+00, 2.60937381e+00, ...,\n",
       "        1.06830721e+01, 1.05875168e+01, 1.06064310e+01],\n",
       "       [2.63274550e+00, 2.69030857e+00, 2.70158672e+00, ...,\n",
       "        1.12389555e+01, 1.11772890e+01, 1.07858429e+01],\n",
       "       [2.79642558e+00, 2.79509473e+00, 2.79662967e+00, ...,\n",
       "        1.57097864e+01, 1.73388062e+01, 1.49893723e+01],\n",
       "       ...,\n",
       "       [3.51767914e+02, 3.42136383e+02, 4.95587799e+02, ...,\n",
       "        7.09512500e+03, 6.76502881e+03, 7.93824463e+03],\n",
       "       [3.43453735e+02, 3.07501678e+02, 3.19206604e+02, ...,\n",
       "        6.82430615e+03, 7.61574951e+03, 8.02254932e+03],\n",
       "       [3.69539795e+02, 3.40985107e+02, 3.74479401e+02, ...,\n",
       "        6.94497656e+03, 7.84728174e+03, 7.82257373e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossLS_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-0ef991b4-9172-4e0f-9f53-e85046f9d43e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ef991b4-9172-4e0f-9f53-e85046f9d43e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75c71cb0-1412-43ba-88ce-c6f9eaac9c43' class='xr-var-data-in' type='checkbox'><label for='data-75c71cb0-1412-43ba-88ce-c6f9eaac9c43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST1</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1dcb76f3-8706-4d5d-a39a-b09ac74382e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1dcb76f3-8706-4d5d-a39a-b09ac74382e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65207222-9b88-433a-a1ca-919bf1eceaf5' class='xr-var-data-in' type='checkbox'><label for='data-65207222-9b88-433a-a1ca-919bf1eceaf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST2</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-fb2c480c-77da-4ce8-a16f-f1027ac55356' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb2c480c-77da-4ce8-a16f-f1027ac55356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f87d938-bff6-43f4-8453-ebf584ca771b' class='xr-var-data-in' type='checkbox'><label for='data-5f87d938-bff6-43f4-8453-ebf584ca771b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST3</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-55840760-9268-473a-9eb5-9d51dbc04ecc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55840760-9268-473a-9eb5-9d51dbc04ecc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d1266b9-5d80-43fe-a691-9e8fb056d593' class='xr-var-data-in' type='checkbox'><label for='data-8d1266b9-5d80-43fe-a691-9e8fb056d593' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST4</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cbea636f-2385-44b9-8ad6-895098a6afd8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cbea636f-2385-44b9-8ad6-895098a6afd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f91b7f-9e68-47d8-a183-ae31b969d775' class='xr-var-data-in' type='checkbox'><label for='data-e7f91b7f-9e68-47d8-a183-ae31b969d775' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossConv_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-6df0a841-cf36-415d-a01e-6de80017a135' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6df0a841-cf36-415d-a01e-6de80017a135' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78370b4d-cc80-419e-96c9-6f0299b64df2' class='xr-var-data-in' type='checkbox'><label for='data-78370b4d-cc80-419e-96c9-6f0299b64df2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossTotal_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c8498597-ad03-4256-a785-a2d9286e130a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c8498597-ad03-4256-a785-a2d9286e130a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c3f89ba-5ef6-42a4-bca0-08a37b0ce888' class='xr-var-data-in' type='checkbox'><label for='data-4c3f89ba-5ef6-42a4-bca0-08a37b0ce888' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.593 2.595 ... 7.847e+03 7.823e+03</div><input id='attrs-69a6c35c-618c-46bc-99a5-3587353da0a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69a6c35c-618c-46bc-99a5-3587353da0a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d49cf1e-b283-44b9-ad39-e29d914eb02d' class='xr-var-data-in' type='checkbox'><label for='data-8d49cf1e-b283-44b9-ad39-e29d914eb02d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.59258962e+00, 2.59526515e+00, 2.60937381e+00, ...,\n",
       "        1.06830721e+01, 1.05875168e+01, 1.06064310e+01],\n",
       "       [2.63274550e+00, 2.69030857e+00, 2.70158672e+00, ...,\n",
       "        1.12389555e+01, 1.11772890e+01, 1.07858429e+01],\n",
       "       [2.79642558e+00, 2.79509473e+00, 2.79662967e+00, ...,\n",
       "        1.57097864e+01, 1.73388062e+01, 1.49893723e+01],\n",
       "       ...,\n",
       "       [3.51767914e+02, 3.42136383e+02, 4.95587799e+02, ...,\n",
       "        7.09512500e+03, 6.76502881e+03, 7.93824463e+03],\n",
       "       [3.43453735e+02, 3.07501678e+02, 3.19206604e+02, ...,\n",
       "        6.82430615e+03, 7.61574951e+03, 8.02254932e+03],\n",
       "       [3.69539795e+02, 3.40985107e+02, 3.74479401e+02, ...,\n",
       "        6.94497656e+03, 7.84728174e+03, 7.82257373e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST1</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.023 2.025 2.025 ... 473.5 470.1</div><input id='attrs-b26e3493-1207-4647-9b53-70ba7001a344' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b26e3493-1207-4647-9b53-70ba7001a344' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-775b50b4-3b74-4aac-a4f7-b642264fed4a' class='xr-var-data-in' type='checkbox'><label for='data-775b50b4-3b74-4aac-a4f7-b642264fed4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  2.0232866,   2.0252955,   2.0253122, ...,   2.6423616,\n",
       "          2.6265914,   2.6148036],\n",
       "       [  2.0554113,   2.0784783,   2.0749972, ...,   2.8577185,\n",
       "          2.827234 ,   2.704395 ],\n",
       "       [  2.1654682,   2.1639607,   2.1552181, ...,   3.4426181,\n",
       "          3.7921133,   3.3390276],\n",
       "       ...,\n",
       "       [ 61.71223  ,  60.890568 ,  77.86895  , ..., 466.07333  ,\n",
       "        436.42838  , 482.65775  ],\n",
       "       [ 61.635975 ,  57.39224  ,  75.09765  , ..., 466.95007  ,\n",
       "        489.11157  , 490.50378  ],\n",
       "       [ 57.37372  ,  58.96432  ,  64.2372   , ..., 449.6735   ,\n",
       "        473.52133  , 470.1112   ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST2</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.06366 0.06367 ... 1.107e+03</div><input id='attrs-09bb29ff-56f2-4f71-8818-94e82873790b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09bb29ff-56f2-4f71-8818-94e82873790b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0a98341-d886-44e2-b79f-e05e09cdb6ef' class='xr-var-data-in' type='checkbox'><label for='data-c0a98341-d886-44e2-b79f-e05e09cdb6ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[6.3664339e-02, 6.3669384e-02, 6.6060506e-02, ..., 7.3941773e-01,\n",
       "        7.2494149e-01, 7.2672802e-01],\n",
       "       [6.4390011e-02, 7.1356542e-02, 7.3950671e-02, ..., 7.8811455e-01,\n",
       "        7.7453995e-01, 7.4445820e-01],\n",
       "       [7.1021773e-02, 7.1137197e-02, 7.3533751e-02, ..., 1.1920428e+00,\n",
       "        1.2696685e+00, 1.1215663e+00],\n",
       "       ...,\n",
       "       [5.2557892e+01, 5.2009609e+01, 7.1629036e+01, ..., 1.0472759e+03,\n",
       "        9.8308203e+02, 1.1409373e+03],\n",
       "       [5.1644054e+01, 4.7570953e+01, 5.5628498e+01, ..., 1.0227889e+03,\n",
       "        1.1161429e+03, 1.1522738e+03],\n",
       "       [5.6377014e+01, 5.4419678e+01, 6.0740070e+01, ..., 1.0090599e+03,\n",
       "        1.1112552e+03, 1.1067365e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST3</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2199 0.2201 ... 3.011e+03</div><input id='attrs-996bab0b-4228-49b8-b0b0-69e02b8fb1f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-996bab0b-4228-49b8-b0b0-69e02b8fb1f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58025792-13d1-4b0e-82de-8fb467a8dee3' class='xr-var-data-in' type='checkbox'><label for='data-58025792-13d1-4b0e-82de-8fb467a8dee3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.1991360e-01, 2.2010900e-01, 2.2646894e-01, ..., 2.4259045e+00,\n",
       "        2.3972328e+00, 2.4049988e+00],\n",
       "       [2.2283213e-01, 2.3938942e-01, 2.4594732e-01, ..., 2.5742855e+00,\n",
       "        2.5494058e+00, 2.4357176e+00],\n",
       "       [2.4657823e-01, 2.4668364e-01, 2.5243667e-01, ..., 3.7712724e+00,\n",
       "        4.1246386e+00, 3.5719788e+00],\n",
       "       ...,\n",
       "       [1.7761806e+02, 1.7282983e+02, 2.5075385e+02, ..., 2.7849561e+03,\n",
       "        2.6019578e+03, 3.0926631e+03],\n",
       "       [1.7224738e+02, 1.5138635e+02, 1.3906381e+02, ..., 2.6634348e+03,\n",
       "        2.9495342e+03, 3.1192000e+03],\n",
       "       [1.8609534e+02, 1.6584921e+02, 1.7639000e+02, ..., 2.6941858e+03,\n",
       "        3.0178162e+03, 3.0109199e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST4</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2857 0.2862 ... 3.235e+03</div><input id='attrs-8e4462e7-7db6-4549-aa30-364a6e5a0af4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e4462e7-7db6-4549-aa30-364a6e5a0af4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67d62e49-d81a-43d3-a95f-6bfb30bd883e' class='xr-var-data-in' type='checkbox'><label for='data-67d62e49-d81a-43d3-a95f-6bfb30bd883e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.8572503e-01, 2.8619137e-01, 2.9153240e-01, ..., 4.8753877e+00,\n",
       "        4.8387508e+00, 4.8599014e+00],\n",
       "       [2.9011199e-01, 3.0108437e-01, 3.0669150e-01, ..., 5.0188370e+00,\n",
       "        5.0261106e+00, 4.9012713e+00],\n",
       "       [3.1335750e-01, 3.1331328e-01, 3.1544104e-01, ..., 7.3038535e+00,\n",
       "        8.1523848e+00, 6.9568009e+00],\n",
       "       ...,\n",
       "       [5.9879700e+01, 5.6406403e+01, 9.5336052e+01, ..., 2.7968196e+03,\n",
       "        2.7435605e+03, 3.2219871e+03],\n",
       "       [5.7926311e+01, 5.1152111e+01, 4.9416653e+01, ..., 2.6711318e+03,\n",
       "        3.0609602e+03, 3.2605723e+03],\n",
       "       [6.9693733e+01, 6.1751881e+01, 7.3112137e+01, ..., 2.7920579e+03,\n",
       "        3.2446885e+03, 3.2348064e+03]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c816355-d22a-4f01-9772-650deadeaa3d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c816355-d22a-4f01-9772-650deadeaa3d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * lat               (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 14.0 14.5 15.0\n",
       "  * lon               (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "Data variables: (12/18)\n",
       "    BC_flux           (lat, lon) float32 0.02473 0.02483 0.02662 ... 1.051 1.041\n",
       "    WetLossLS_BC      (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossConv_BC    (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossTotal_BC   (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_BC         (lat, lon) float32 0.02473 0.02483 0.02662 ... 1.051 1.041\n",
       "    DST_flux          (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03\n",
       "    ...                ...\n",
       "    WetLossTotal_DST  (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_DST        (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03\n",
       "    DryDep_DST1       (lat, lon) float32 2.023 2.025 2.025 ... 449.7 473.5 470.1\n",
       "    DryDep_DST2       (lat, lon) float32 0.06366 0.06367 ... 1.111e+03 1.107e+03\n",
       "    DryDep_DST3       (lat, lon) float32 0.2199 0.2201 ... 3.018e+03 3.011e+03\n",
       "    DryDep_DST4       (lat, lon) float32 0.2857 0.2862 ... 3.245e+03 3.235e+03"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get monthly meanfor the 5 yr avgs\n",
    "BCDST_flux2014_19y_avg=BCDST_flux2014_19y.mean(dim='time')\n",
    "BCDST_flux2014_19y_avg_noGFED = BCDST_flux2014_19y_noGFED.mean(dim='time')\n",
    "BCDST_flux2014_19y_avg_noGFED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * lat               (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 14.0 14.5 15.0\n",
       "  * lon               (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "Data variables: (12/18)\n",
       "    BC_flux           (lat, lon) float32 0.01426 0.01431 0.01521 ... 0.4475 0.44\n",
       "    WetLossLS_BC      (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossConv_BC    (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossTotal_BC   (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_BC         (lat, lon) float32 0.01426 0.01431 0.01521 ... 0.4475 0.44\n",
       "    DST_flux          (lat, lon) float32 1.145 1.144 ... 1.937e+03 1.925e+03\n",
       "    ...                ...\n",
       "    WetLossTotal_DST  (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_DST        (lat, lon) float32 1.145 1.144 ... 1.937e+03 1.925e+03\n",
       "    DryDep_DST1       (lat, lon) float32 0.758 0.758 0.7594 ... 118.7 117.2\n",
       "    DryDep_DST2       (lat, lon) float32 0.03916 0.039 0.04087 ... 218.8 216.9\n",
       "    DryDep_DST3       (lat, lon) float32 0.1407 0.1403 0.1452 ... 661.4 657.7\n",
       "    DryDep_DST4       (lat, lon) float32 0.2067 0.2067 0.2107 ... 938.6 933.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-41d2f2b2-73e2-4eca-9ec8-e8bd5d72b914' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41d2f2b2-73e2-4eca-9ec8-e8bd5d72b914' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-05ca810f-4fca-4e70-9b49-ae6c27dbad6c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05ca810f-4fca-4e70-9b49-ae6c27dbad6c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-a70fadc8-e4ce-47df-84f0-8a859314d2b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a70fadc8-e4ce-47df-84f0-8a859314d2b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bbda36a-e283-4dcd-b362-a61e4388821b' class='xr-var-data-in' type='checkbox'><label for='data-7bbda36a-e283-4dcd-b362-a61e4388821b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-da62fc0e-5a24-4bea-9c58-517abc45aff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da62fc0e-5a24-4bea-9c58-517abc45aff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fa4b418-c29a-4916-a051-84f862b92084' class='xr-var-data-in' type='checkbox'><label for='data-0fa4b418-c29a-4916-a051-84f862b92084' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cebb38c-daa5-41e7-b8b6-d8cef1580f29' class='xr-section-summary-in' type='checkbox'  ><label for='section-6cebb38c-daa5-41e7-b8b6-d8cef1580f29' class='xr-section-summary' >Data variables: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>BC_flux</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01426 0.01431 ... 0.4475 0.44</div><input id='attrs-5103c618-e618-430e-b72c-76e224a1891d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5103c618-e618-430e-b72c-76e224a1891d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1115300c-5d78-4ea1-b929-0faaca803f7d' class='xr-var-data-in' type='checkbox'><label for='data-1115300c-5d78-4ea1-b929-0faaca803f7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.01426313, 0.01430908, 0.01520941, ..., 0.01062821, 0.01020066,\n",
       "        0.00933912],\n",
       "       [0.01447224, 0.01530178, 0.01609567, ..., 0.01434081, 0.01297389,\n",
       "        0.01261018],\n",
       "       [0.01549034, 0.01554443, 0.01659566, ..., 0.01985108, 0.02189798,\n",
       "        0.01756969],\n",
       "       ...,\n",
       "       [0.7287336 , 0.6853076 , 0.6133629 , ..., 0.44801116, 0.49825692,\n",
       "        0.4537425 ],\n",
       "       [0.6878112 , 0.61498266, 0.62996   , ..., 0.4931143 , 0.51603276,\n",
       "        0.46468693],\n",
       "       [0.50928634, 0.5680191 , 0.46663684, ..., 0.4309103 , 0.4474557 ,\n",
       "        0.4400159 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossLS_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1d8c05a0-2fc0-4d68-a8ae-e78bc508a06e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d8c05a0-2fc0-4d68-a8ae-e78bc508a06e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef3e4787-4469-430a-b6e3-eb92b082720e' class='xr-var-data-in' type='checkbox'><label for='data-ef3e4787-4469-430a-b6e3-eb92b082720e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossConv_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-188843cc-78a0-458a-987d-243da174d880' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-188843cc-78a0-458a-987d-243da174d880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b27af599-bcbe-4362-a148-b50a06fc9d39' class='xr-var-data-in' type='checkbox'><label for='data-b27af599-bcbe-4362-a148-b50a06fc9d39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossTotal_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7d79edb7-aa90-4d84-991e-a033a397c22b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d79edb7-aa90-4d84-991e-a033a397c22b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f93c22d6-83da-4558-87a4-be4b52d364a9' class='xr-var-data-in' type='checkbox'><label for='data-f93c22d6-83da-4558-87a4-be4b52d364a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01426 0.01431 ... 0.4475 0.44</div><input id='attrs-0ae3d446-9104-4e9f-b008-66b55f2d9788' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ae3d446-9104-4e9f-b008-66b55f2d9788' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4e1a47e-ff8d-468a-89d7-fc85126ad25a' class='xr-var-data-in' type='checkbox'><label for='data-f4e1a47e-ff8d-468a-89d7-fc85126ad25a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.01426313, 0.01430908, 0.01520941, ..., 0.01062821, 0.01020066,\n",
       "        0.00933912],\n",
       "       [0.01447224, 0.01530178, 0.01609567, ..., 0.01434081, 0.01297389,\n",
       "        0.01261018],\n",
       "       [0.01549034, 0.01554443, 0.01659566, ..., 0.01985108, 0.02189798,\n",
       "        0.01756969],\n",
       "       ...,\n",
       "       [0.7287336 , 0.6853076 , 0.6133629 , ..., 0.44801116, 0.49825692,\n",
       "        0.4537425 ],\n",
       "       [0.6878112 , 0.61498266, 0.62996   , ..., 0.4931143 , 0.51603276,\n",
       "        0.46468693],\n",
       "       [0.50928634, 0.5680191 , 0.46663684, ..., 0.4309103 , 0.4474557 ,\n",
       "        0.4400159 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DST_flux</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.145 1.144 ... 1.937e+03 1.925e+03</div><input id='attrs-c6992e52-f15b-4749-b91a-f05f048bd962' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6992e52-f15b-4749-b91a-f05f048bd962' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5314c975-9d97-482d-819f-f84fe05b8af5' class='xr-var-data-in' type='checkbox'><label for='data-5314c975-9d97-482d-819f-f84fe05b8af5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.1445607e+00, 1.1439346e+00, 1.1561223e+00, ..., 2.6549134e+00,\n",
       "        2.4655178e+00, 2.4627337e+00],\n",
       "       [1.1676390e+00, 1.1954616e+00, 1.2056708e+00, ..., 2.8407049e+00,\n",
       "        2.7015076e+00, 2.5780244e+00],\n",
       "       [1.2554709e+00, 1.2520940e+00, 1.2561040e+00, ..., 3.5808043e+00,\n",
       "        3.8489218e+00, 3.2476580e+00],\n",
       "       ...,\n",
       "       [6.1718204e+01, 5.9878155e+01, 8.4493454e+01, ..., 1.6456880e+03,\n",
       "        1.6966854e+03, 1.7943657e+03],\n",
       "       [6.0814022e+01, 5.4230919e+01, 6.5099724e+01, ..., 1.6758018e+03,\n",
       "        1.8416073e+03, 1.8160951e+03],\n",
       "       [6.6342049e+01, 6.1608002e+01, 7.1989204e+01, ..., 1.7569031e+03,\n",
       "        1.9374841e+03, 1.9253220e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossLS_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c34668a8-a090-42b8-80c8-18149572a6b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c34668a8-a090-42b8-80c8-18149572a6b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a62fdf9-5909-438f-8f50-dc4b197dcf02' class='xr-var-data-in' type='checkbox'><label for='data-0a62fdf9-5909-438f-8f50-dc4b197dcf02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST1</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2ecd582d-cb3e-4194-8adb-4947a9f15d21' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ecd582d-cb3e-4194-8adb-4947a9f15d21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8202e7bf-c3b8-4019-bf65-c845ed421bb9' class='xr-var-data-in' type='checkbox'><label for='data-8202e7bf-c3b8-4019-bf65-c845ed421bb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST2</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e1e142d6-f989-4e64-8846-521a5dc1d26c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1e142d6-f989-4e64-8846-521a5dc1d26c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b0afa0-4812-4433-9f7f-1d905a7b17b0' class='xr-var-data-in' type='checkbox'><label for='data-88b0afa0-4812-4433-9f7f-1d905a7b17b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST3</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ae6c0318-b150-47f9-acf8-36b2b3849463' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae6c0318-b150-47f9-acf8-36b2b3849463' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d084f94b-001e-4ec3-93a9-0a95701a7490' class='xr-var-data-in' type='checkbox'><label for='data-d084f94b-001e-4ec3-93a9-0a95701a7490' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST4</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-181467d8-14f8-4148-a68f-04c451f8be9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-181467d8-14f8-4148-a68f-04c451f8be9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59135992-eba9-46d2-9515-c194b1c43e32' class='xr-var-data-in' type='checkbox'><label for='data-59135992-eba9-46d2-9515-c194b1c43e32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossConv_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3f7a6ad0-6086-4acb-b9c6-6eb531d3827c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f7a6ad0-6086-4acb-b9c6-6eb531d3827c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-861ac5b0-ec22-43ca-975e-56c93b40a9de' class='xr-var-data-in' type='checkbox'><label for='data-861ac5b0-ec22-43ca-975e-56c93b40a9de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossTotal_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-18718710-ede9-4d86-b686-bbec6af22086' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18718710-ede9-4d86-b686-bbec6af22086' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15ce5035-c1af-430d-9c3e-e78e83668fab' class='xr-var-data-in' type='checkbox'><label for='data-15ce5035-c1af-430d-9c3e-e78e83668fab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.145 1.144 ... 1.937e+03 1.925e+03</div><input id='attrs-589b026a-4523-4ac4-87f3-84b102c084c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-589b026a-4523-4ac4-87f3-84b102c084c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e85d9510-50d8-4237-86b6-afbe2682cc97' class='xr-var-data-in' type='checkbox'><label for='data-e85d9510-50d8-4237-86b6-afbe2682cc97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.1445607e+00, 1.1439346e+00, 1.1561223e+00, ..., 2.6549134e+00,\n",
       "        2.4655178e+00, 2.4627337e+00],\n",
       "       [1.1676390e+00, 1.1954616e+00, 1.2056708e+00, ..., 2.8407049e+00,\n",
       "        2.7015076e+00, 2.5780244e+00],\n",
       "       [1.2554709e+00, 1.2520940e+00, 1.2561040e+00, ..., 3.5808043e+00,\n",
       "        3.8489218e+00, 3.2476580e+00],\n",
       "       ...,\n",
       "       [6.1718204e+01, 5.9878155e+01, 8.4493454e+01, ..., 1.6456880e+03,\n",
       "        1.6966854e+03, 1.7943657e+03],\n",
       "       [6.0814022e+01, 5.4230919e+01, 6.5099724e+01, ..., 1.6758018e+03,\n",
       "        1.8416073e+03, 1.8160951e+03],\n",
       "       [6.6342049e+01, 6.1608002e+01, 7.1989204e+01, ..., 1.7569031e+03,\n",
       "        1.9374841e+03, 1.9253220e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST1</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.758 0.758 0.7594 ... 118.7 117.2</div><input id='attrs-3eff621f-2234-4fa6-8ba5-38e47f3ddda5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3eff621f-2234-4fa6-8ba5-38e47f3ddda5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a81fd7-37b5-4a06-8e35-cac7378b17c3' class='xr-var-data-in' type='checkbox'><label for='data-85a81fd7-37b5-4a06-8e35-cac7378b17c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.75795496,   0.7579853 ,   0.7594037 , ...,   0.51385283,\n",
       "          0.50990003,   0.50414747],\n",
       "       [  0.7727009 ,   0.7823954 ,   0.781386  , ...,   0.58924943,\n",
       "          0.57663155,   0.55633163],\n",
       "       [  0.82218146,   0.8202643 ,   0.8168169 , ...,   0.7192013 ,\n",
       "          0.79892766,   0.678717  ],\n",
       "       ...,\n",
       "       [ 15.416477  ,  15.233365  ,  19.57576   , ..., 114.69499   ,\n",
       "        113.11238   , 114.23007   ],\n",
       "       [ 15.39467   ,  14.199581  ,  19.258762  , ..., 119.57718   ,\n",
       "        121.91545   , 117.13602   ],\n",
       "       [ 14.611334  ,  14.871028  ,  16.839516  , ..., 116.99104   ,\n",
       "        118.70874   , 117.19767   ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST2</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03916 0.039 ... 218.8 216.9</div><input id='attrs-c791a6db-5d93-47ee-8770-6b4cbc620a7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c791a6db-5d93-47ee-8770-6b4cbc620a7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9defd86-49cf-43f5-827f-60f803f7a2fb' class='xr-var-data-in' type='checkbox'><label for='data-b9defd86-49cf-43f5-827f-60f803f7a2fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.9163508e-02, 3.8999870e-02, 4.0870231e-02, ..., 1.4992905e-01,\n",
       "        1.3752243e-01, 1.3683169e-01],\n",
       "       [3.9924789e-02, 4.3660287e-02, 4.5689411e-02, ..., 1.6488406e-01,\n",
       "        1.5623109e-01, 1.4660630e-01],\n",
       "       [4.3774888e-02, 4.3657791e-02, 4.5702770e-02, ..., 2.1663690e-01,\n",
       "        2.4302387e-01, 1.8815356e-01],\n",
       "       ...,\n",
       "       [1.1017051e+01, 1.0833614e+01, 1.4871704e+01, ..., 1.9274199e+02,\n",
       "        1.9920113e+02, 2.0524399e+02],\n",
       "       [1.0882097e+01, 9.9861507e+00, 1.2718416e+01, ..., 2.0145120e+02,\n",
       "        2.1760660e+02, 2.0819405e+02],\n",
       "       [1.2263029e+01, 1.1828665e+01, 1.3908674e+01, ..., 2.0286998e+02,\n",
       "        2.1876003e+02, 2.1685564e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST3</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1407 0.1403 ... 661.4 657.7</div><input id='attrs-38fd8ea4-1408-4f93-adc2-78f0d21691d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38fd8ea4-1408-4f93-adc2-78f0d21691d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-600420ce-96fe-4e71-89b3-b301fda3fce2' class='xr-var-data-in' type='checkbox'><label for='data-600420ce-96fe-4e71-89b3-b301fda3fce2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.4069374e-01, 1.4029157e-01, 1.4515120e-01, ..., 5.2685767e-01,\n",
       "        4.8881745e-01, 4.8784554e-01],\n",
       "       [1.4376828e-01, 1.5237515e-01, 1.5733519e-01, ..., 5.8004051e-01,\n",
       "        5.5649006e-01, 5.1527804e-01],\n",
       "       [1.5897575e-01, 1.5830839e-01, 1.6291875e-01, ..., 7.2656167e-01,\n",
       "        8.3801538e-01, 6.6046876e-01],\n",
       "       ...,\n",
       "       [3.0208422e+01, 2.9030479e+01, 4.1690411e+01, ..., 5.7165533e+02,\n",
       "        5.8785095e+02, 6.1929504e+02],\n",
       "       [2.9569393e+01, 2.5752371e+01, 2.7967236e+01, ..., 5.8609363e+02,\n",
       "        6.4028735e+02, 6.2513934e+02],\n",
       "       [3.3368523e+01, 2.9637383e+01, 3.4244259e+01, ..., 6.0492224e+02,\n",
       "        6.6143604e+02, 6.5774170e+02]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST4</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2067 0.2067 ... 938.6 933.5</div><input id='attrs-2e8ec7fc-b6c5-46d6-abea-6c446a7d5cee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e8ec7fc-b6c5-46d6-abea-6c446a7d5cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ee0b8b3-6727-4c2e-8541-ef1767406c82' class='xr-var-data-in' type='checkbox'><label for='data-2ee0b8b3-6727-4c2e-8541-ef1767406c82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.0674855e-01, 2.0665793e-01, 2.1069726e-01, ..., 1.4642739e+00,\n",
       "        1.3292778e+00, 1.3339090e+00],\n",
       "       [2.1124506e-01, 2.1703076e-01, 2.2126022e-01, ..., 1.5065310e+00,\n",
       "        1.4121549e+00, 1.3598084e+00],\n",
       "       [2.3053879e-01, 2.2986349e-01, 2.3066553e-01, ..., 1.9184043e+00,\n",
       "        1.9689546e+00, 1.7203186e+00],\n",
       "       ...,\n",
       "       [5.0762467e+00, 4.7806973e+00, 8.3555851e+00, ..., 7.6659570e+02,\n",
       "        7.9652106e+02, 8.5559674e+02],\n",
       "       [4.9678626e+00, 4.2928190e+00, 5.1552935e+00, ..., 7.6867969e+02,\n",
       "        8.6179791e+02, 8.6562567e+02],\n",
       "       [6.0991654e+00, 5.2709289e+00, 6.9967570e+00, ..., 8.3211975e+02,\n",
       "        9.3857941e+02, 9.3352704e+02]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0d4e7a1-04cf-4cd4-a59e-9b06a0c1af35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d0d4e7a1-04cf-4cd4-a59e-9b06a0c1af35' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * lat               (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 14.0 14.5 15.0\n",
       "  * lon               (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "Data variables: (12/18)\n",
       "    BC_flux           (lat, lon) float32 0.01426 0.01431 0.01521 ... 0.4475 0.44\n",
       "    WetLossLS_BC      (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossConv_BC    (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossTotal_BC   (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_BC         (lat, lon) float32 0.01426 0.01431 0.01521 ... 0.4475 0.44\n",
       "    DST_flux          (lat, lon) float32 1.145 1.144 ... 1.937e+03 1.925e+03\n",
       "    ...                ...\n",
       "    WetLossTotal_DST  (lat, lon) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_DST        (lat, lon) float32 1.145 1.144 ... 1.937e+03 1.925e+03\n",
       "    DryDep_DST1       (lat, lon) float32 0.758 0.758 0.7594 ... 118.7 117.2\n",
       "    DryDep_DST2       (lat, lon) float32 0.03916 0.039 0.04087 ... 218.8 216.9\n",
       "    DryDep_DST3       (lat, lon) float32 0.1407 0.1403 0.1452 ... 661.4 657.7\n",
       "    DryDep_DST4       (lat, lon) float32 0.2067 0.2067 0.2107 ... 938.6 933.5"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BCDST_flux2014_19mon_avg=BCDST_flux2014_19m.groupby('time.month').mean(dim='time')\n",
    "BCDST_flux2014_19_wetavgsum=BCDST_flux2014_19mon_avg.sel(month=slice(1, 4)).sum(dim='month')\n",
    "BCDST_flux2014_19_dryavgsum=BCDST_flux2014_19mon_avg.sel(month=slice(8, 11)).sum(dim='month')\n",
    "BCDST_flux2014_19_dryavgsum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plot total BC from different sectors & Dust too\n",
    "## NOT IN PAPER\n",
    "\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "oranges_trans = fp.cmap_trans('Oranges')# makes tranparent at lower end\n",
    "oranges_trans_r = fp.cmap_trans('Oranges')\n",
    "###Dry epp BC flux throughout 2015\n",
    "fig, axes = plt.subplots(1, 2, figsize=[15, 6], subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "##fig.tight_layout()\n",
    "fig.subplots_adjust(left=None, bottom=None, right=None, top=None,hspace = .15, wspace=.8)\n",
    "\n",
    "#plots for BC dep per month\n",
    "\n",
    "titles= ['BC flux total','Dust flux total']#,'BCPI:BCPO wet dep.[BB]']\n",
    "\n",
    "#data_plot= drydepBC_2014_15_sumtotal[0:12]\n",
    "lat= BCDST_flux2014_19y_avg['lat'].values\n",
    "lon= BCDST_flux2014_19y_avg['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 200, 26-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "bounds1 =  np.linspace(0, 1000, 26-1)\n",
    "norm1 = matplotlib.colors.BoundaryNorm(boundaries=bounds1,ncolors=256)\n",
    "\n",
    "\n",
    "pcm= axes[0].pcolormesh(lon,lat,BCDST_flux2014_19y_avg['BC_flux'] ,cmap=BuPu_trans, norm=norm )\n",
    "\n",
    "\n",
    "pcm1= axes[1].pcolormesh(lon,lat,BCDST_flux2014_19y_avg['DST_flux'] ,cmap=oranges_trans_r, norm=norm1 )\n",
    "\n",
    "\n",
    "for i in range(0,2):\n",
    "    axes[i].set_title(titles[i])\n",
    "    axes[i].set_extent([-84, -60, -22, 3])\n",
    "    axes[i].scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8, label = 'Obs.')\n",
    "    #add costlines\n",
    "    axes[i].coastlines()\n",
    "    axes[i].add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "    #get the symbold and the labels for legend\n",
    "    handles, labels = axes[i].get_legend_handles_labels()\n",
    "    axes[i].legend(handles, labels,\n",
    "              loc='lower left', ncol=1, edgecolor='black',\n",
    "              borderpad=0.25)\n",
    " \n",
    "       \n",
    "cbar=fig.colorbar(pcm, ax=axes[0], shrink=0.9,label='BC flux (mg/m² yr)', fraction=0.045, pad=0.04 )\n",
    "cbar=fig.colorbar(pcm1, ax=axes[1], shrink=0.9,label='Dust flux (mg/m² yr)',fraction=0.045, pad=0.04 )\n",
    "fig.suptitle('Light-absorbing particle annual mean fluxes for 2014-2019.', y= 1.05, fontsize=20);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'Dust:BC flux ratio for the Andes 2014-2019.')"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#FIGURE NOT IN PAPER\n",
    "\n",
    "#import format_plots as fp\n",
    "YlOrRd_trans = fp.cmap_trans('YlOrRd') # makes tranparent at lower end\n",
    "#BuPu_trans_r = fp.cmap_trans('BuPu_r')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "#bounds1 =  np.linspace(-1, 1, 11-1)\n",
    "#norm1 = matplotlib.colors.BoundaryNorm(boundaries=bounds1,ncolors=256)\n",
    "\n",
    "((BCDST_flux2014_19y_avg['DST_flux'])/BCDST_flux2014_19y_avg['BC_flux']).plot(ax=ax,  vmin=0, vmax=20, cmap=oranges_trans_r,add_colorbar=True)\n",
    "\n",
    "\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),s=50, \n",
    "           c='grey', marker=\"^\", alpha=0.5, label = \"Glaciers\")\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8,label= \"Obs.\")\n",
    "#add coastlines\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "# get the symbols and the labels for legend\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=2, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "\n",
    "plt.title('Dust:BC flux ratio for the Andes 2014-2019.', y= 1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dust:BC ratio at the following observation sites:\n",
      "Yannapaccha: 4.94\n",
      "Shallap: 5.76\n",
      "Huascaran: 4.94\n",
      "Quelccaya: 9.46\n",
      "Illimani: 4.39\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    }
   ],
   "source": [
    "##dust:bc ratios at observation sites\n",
    "\n",
    "#Yannapaccha\n",
    "dustbc_rat_ya = ((BCDST_flux2014_19y_avg['DST_flux'])/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-9.02, lon=-77.6, method = 'nearest').values #yanna\n",
    "#Shallap\n",
    "dustbc_rat_sha = ((BCDST_flux2014_19y_avg['DST_flux'])/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-9.5, lon=-77.3, method = 'nearest').values #shallap\n",
    "#Huascaran\n",
    "dustbc_rat_huas = ((BCDST_flux2014_19y_avg['DST_flux'])/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-9.1, lon=-77.6, method = 'nearest').values #huascaran\n",
    "#Quelccaya\n",
    "dustbc_rat_que = ((BCDST_flux2014_19y_avg['DST_flux'])/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-13.9, lon=-70.9, method='nearest').values #quelccaya\n",
    "#Illimani\n",
    "dustbc_rat_illi = ((BCDST_flux2014_19y_avg['DST_flux'])/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-16.6, lon=-67.8, method = 'nearest').values #illimani\n",
    "\n",
    "print(\"Dust:BC ratio at the following observation sites:\")\n",
    "print(f\"Yannapaccha: {dustbc_rat_ya:.2f}\")\n",
    "print(f\"Shallap: {dustbc_rat_sha:.2f}\")\n",
    "print(f\"Huascaran: {dustbc_rat_huas:.2f}\")\n",
    "print(f\"Quelccaya: {dustbc_rat_que:.2f}\")\n",
    "print(f\"Illimani: {dustbc_rat_illi:.2f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6aIe25557Ls4666xCX/TYpnv37tneuJYd7dq12yGUbJucBBbBniIhISHKly8f5cuXj7322isOO+ywOOOMM+K2226LF198MR555JFMF1dfeOGF6NGjRzRu3Hinaxk+fHi2grlOOeWU6Nu3b+y11147NV+TJk2iSZMm8be//S1ef/31+Pe//x2//vrrTo1ZEKZMmZJhW4cOHQqwEgAAAMhcvXr1onXr1vHVV1/96fjWrVvjmWeeiQEDBhRSZYWnWLFikZSUFElJSVGzZs1o2bJlnH322bFmzZr497//HYMGDcr0iaQPPfRQdO7cOapVq7bTtTzyyCNZBnMVK1YszjrrrOjTp0+mG4Ky4/DDD4/DDz88rr766njxxRdj0KBBsXLlyp0asyBYi6Go8LsIO0pNTY1p06al23bggQfm2WZaKCpysiF9d+a9DwAAv+vZs2c8+eSTkZqa+qfj3333XXz11VfRpk2bQqqs8JQsWTKqVKkSVapUiX333Tfat28fffr0ienTp8cdd9wR48ePz/C1a9eujXvvvTcefvjhna5j7dq1ceGFF2YZzFW9evW44YYb4pRTTtmpEKpy5cpF165do2vXrjF9+vR46qmn4t133013Y3pR4vyOomTq1KnpHk9ISBBAxB6rIK5NHXHEEdY92SM8+OCDWQZzJSQkRPfu3ePKK6+MGjVq7PSc++yzT1x88cVx8cUXx4QJE+K5556LMWPGFOh3RPv4ipbExMRITEyMcuXKRZUqVaJRo0Z/ak9OTo7JkyfHO++8E++++26sWrUqyzEHDRoUS5YsiQEDBkSxYsXyq/QsPfbYY/Hzzz/vcLxTp06xbNmyTM8FAQD2BIX3TQ0AirjTTz89SpTYMcdywYIF8f777xdCRcCupHTp0tG7d+944403Ml3YT01NjX//+987Pd/XX38dN998c6Z9kpKS4vHHH48HHnhgp4O5/qhUqVJx1llnxXvvvReXXHJJlCxZMs/Gzg/z5s3LsG3//fcvwEoAAAAgaz179kz3+HvvvReLFy8u4GqKrqSkpLj66qvj+eefj3LlymXYb/369VkGamXHu+++G48++mimfWrUqBEvvvhi3HTTTTsdzPVHSUlJ8de//jVGjx4dZ5xxRqHenJcdGa3FJCYmRoMGDQq4GvZk1gVhRytWrIh169al25YXDxUBiibvfQAA+F2tWrXi6KOPTrft2WefLeBqirYmTZrE0KFD44ILLsi03+jRo2POnDk7NVdqampcc801MWPGjEz7tW/fPt59993o3LnzTgVz/bcmTZrEAw88EC+99FIceOCBeTZufnB+R1GS0Rp8rVq1onz58gVcDRQNrk1B3njjjTfiX//6V6Z99tprr3j++efjzjvvzJNgrv/WsmXLeOyxx+LVV1+NVq1a5fn47B4SExOjZcuWceutt8Znn30W/fr1i+rVq2f5upEjR8bf//73AqgwfdOnT49nnnlmh+MVKlSIfv36FUJFAABFT9G+UxsAClGNGjWibdu26bY999xzBVsMsMvad9994+mnn0437G+bDz74IDZu3JjrOdasWRPXXHNNJCcnZ9hn7733jldffTVOOOGEXM+TlTJlysRVV10Vr732WpHeWLlmzZoM2ypXrlyAlQAAAEDWOnToEFWrVt3heHJycjz//POFUFHR1rRp03jwwQcz7fP222/v1Bzz58+PG2+8MdM+jRs3jmHDhkWzZs12aq7MVKpUKfr37x/PPvtsvtxcmlcyWospX758pmtmkNesC8KOVq9enWFbXgZLAkWL9z4AAPyfM844I93jn376acyaNauAqyn6rr/++ujUqVOmfXZ2Df7ZZ5+Njz/+ONM+F154YTz66KNRoUKFnZorM82aNYvXXnstLrnkkiL7kAzndxQlGa3BW39nT+baFOy8OXPmxG233ZZpn4MPPjjeeOONaNGiRb7Xc+ihh8bQoUPjnnvuiYoVK+b7fOy6SpUqFeeee26MGjUqzjjjjCwDhd98880YPHhwAVX3f1JSUqJfv36xZcuWHdquueaabIWLAQDsCYrmCjEAFBE9e/ZM9/jkyZNj8uTJBVsMsMtq3LhxnHnmmRm2b9y4MSZNmpTr8e+4445YtGhRhu3VqlWL5557rsACs5o0aRLDhg2Lk08+uUDmy6nMLnSWKVOmACsBAACArCUmJkbXrl3TbXvllVdiw4YNBVxR0XfsscfG8ccfn2H7ggUL4pdffsnV2Fu3bo1+/frF+vXrM+zToEGDAg3Mat26dYwYMaLIPp01o7UY6zAUtMzWBUuXLl2AlUDRsXbt2gzbfE7D7st7HwAA/s9xxx2X7mbjrVu3FsrG6F1B3759o1SpUhm2f/XVV7kee9asWfHQQw9l2uf888+P6667LsvN7XmhRIkScdVVV8UzzzyTr0FgueX8jqLE9SDYkWtTsHNSU1PjhhtuyPS+mAMPPDCeffbZdB96l59OO+20GDlyZLRp06ZA52XXU758+ejfv3/cf//9UbJkyUz7DhgwIKZNm1ZAlf3u2Wefje+++26H44cffniGYdYAAHsi4VwAkImjjjoqw4upr776agFXA+zKMtpEu82PP/6Yq3EnTpwYb7zxRobtJUqUiIceeij23XffXI2fW2XLlo2BAwdG7969C+QmmJzYuHFjhm1FrVYAAACIiAwDsFetWhWjR48u4Gp2DVmtxcyYMSNX444cOTLGjRuXYXu5cuXi8ccfL/AbP6tUqRLPPPNMnHrqqQU6b3ZktBZjHYaCtmnTpgzb/D6yp7JeDnsm730AAPg/JUqUiA4dOqTbNnLkSA/ISEfNmjWjdevWGbbndv094vcHlWa2jnfsscdG3759cz1+bh155JHx0ksvRe3atQt87sw4v6MocT0IduTaFOyc4cOHx6RJkzJsr1y5cjz++OOFFqJao0aNeOaZZ+KCCy7wniZLp5xySjz55JORmJiYYZ/k5OTo379/bN26tUBq+uWXX+KRRx7Z4XhiYmL079/f7zUAwB8I5wKATCQmJka7du3SbRs9enSmFzUB/uiQQw7JdNF/4cKFuRp34MCBmbZfeuml0aJFi1yNvbMSEhKib9++kZSUVCjzAwAAwO7i0EMPzXDDx4gRIwq4ml3DkUcemWn7ggULcjzmli1b4uGHH860z8033xz169fP8dh5oWTJknHLLbcUytywKyioG1hhV+J9AXsm730AAPizk046Kd3j69atiw8++KCAq9k1ZLYGv2bNmlizZk2Oxxw7dmx88cUXGbZXqVIl7r333kLbIN6oUaM477zzCmXujDi/AyjafE5D7m3evDkeffTRTPvccccdsffeexdQRekrXrx4XH/99dG4ceNCrYNdw5FHHhm33357pn2mTJkSb731VoHUc9NNN6W7N/aCCy6I/fbbr0BqAADYVZQo7AIA2LNs3rw5vv322/jxxx9j9uzZ8fPPP8fChQtj7dq1sW7dutiwYUOULFkySpcuHdWrV4+aNWvG/vvvH4ccckgceeSRUbFixQKv+cQTT4w333xzh+Nr166NDz/8MDp37lzgNe2Ofv311xg7dmxMmjQpZs+eHQsWLIjVq1fHhg0bonjx4lG2bNmoVq1a7LPPPtGkSZNo3rx5tGrVKkqVKlXYpReIlJSU+P7772P69Okxe/bs7f+P1qxZE2vXro0NGzZEiRIlonTp0lG1atWoWbNmNGrUKA466KA48sgjo0aNGoX9I+zxEhISokaNGrF69ep029evX5/jMceOHRvjx4/PsL1evXpx0UUX5XhcAAAA2BMlJyfH119/HZ9++mnMmDEjfv7551i9enWsX78+SpUqFRUqVIh99903DjzwwDj22GOjVatWUbx48QKrr0OHDvHcc8/tcHzs2LGxePHi2GuvvQqsll1BxYoVo0yZMrFhw4Z023OzFjNixIj45ZdfMmxv0aJFnHbaaTkeF2DdunUxbty4GDduXPz0008xd+7c7X+DihUrFpUqVYq6devG3/72t2jZsmWu5thdrsOsW7cuvvzyy/jiiy9i5syZMW/evFizZk1s3rw5ypcvH1WqVIkDDjggmjdvHieffHJUqVIl13PNmzcvPvjgg5g2bVr8+OOPsWLFilizZk0kJCREUlJS7LPPPnHIIYfEscceG0cddVSBfi/YHa1YsSLGjh0bEydOjJ9++inmzZsXq1at2n5DeNmyZaNy5cpRp06d2H///aN58+bRunXrKF++fIHWmZKSEhMnTozvvvsupk+fHj/99FOsWrUq1q5dG2vXro2tW7dG6dKlo3Tp0lGuXLmoUaNG1KlTJ2rXrh37779/HHbYYfn2vU1tUDhmzZoVEyZMiClTpsTcuXNj4cKFsWbNmti4cWMUK1YsypYtG9WrV486derEwQcfHC1atIiWLVvu8n831q5dGxMmTIgffvghpk+fHnPnzt1+/8K6deuiWLFiUaZMmShdunQkJSXF3nvvHbVr1446derEQQcdFIceemiBf4YDAEXHxo0b4+uvv44pU6bE9OnTY8GCBbFkyZJYt25dbNq0KUqWLBnlypWL8uXLR+3ataNBgwbRsGHDaNGiRb5sEG7ZsmVUqVIlVqxYsUPbiBEjokuXLnk+564uq3O09evX5/ihnlmFL1xzzTVRuXLlHI0JEPH7Wu8XX3wRkydPjp9//jkWLFgQ69evj40bN0aZMmWiWrVqUb9+/XjiiSdyNf7WrVtjypQp8fXXX8e3334b8+bNi19//TU2bNgQmzdvjlKlSkW5cuVi7733jnr16sVhhx0WrVq1KpJBLvPmzYuPPvooJk+eHDNnzoylS5fGunXrIiEhISpUqBC1atWKQw89NI466qg49thjc72+kZKSEuPHj4/PP/88pk+fHj///HOsWbMm1q1bF6VKlYoqVapEgwYNokWLFnHSSSfFvvvum7c/KPli5cqV8eWXX8aECRNi9uzZ26/hrF+/PhITE6Ny5cpRr169+Mc//hENGzbM9Tzz5s2LCRMmxOTJk2POnDkxf/78WLNmzfZ7A8qWLRtVqlSJOnXqxIEHHhjNmzePNm3aRMmSJfPqR82SNfGdN2zYsPj1118zbG/Xrl2ccMIJBVhR5gorQJZdT7du3eLjjz+OUaNGZdjniSeeiK5du+ZrHa+++mqMGzduh+P16tWLSy+9NF/nzinXIwCAokA4FwD5bubMmTFmzJgYN25cTJw4Md1E7T/auHFjbNy4MVauXBkzZ86Mzz77LCJ+T5Nv3bp1nHnmmdG+ffsoVqxYQZQfRx99dJQtWzbdzVpvvvmmcK6dkJKSEu+++2689NJLMXHixAyfDJKSkhKbN2+OlStXxk8//RQfffRRRESUL18+TjzxxOjdu/dO3XAxbty46NWrV7b7P/roo1neBJCeu+66K7p3757t/vPmzYsPP/wwxo0bFxMmTIi1a9dm2j8lJSU2bdoUq1atitmzZ8eXX34ZEb8v8jZt2jTOOOOMOOWUUwr0ogJ/ltnNJomJiTke76WXXsq0/Yorrthj/71z+r7eJicXuseMGRN16tTJ8Ry5kdnP06dPn7j88svzdL4bbrgh3njjjXTbsvtzz5o1K04//fQMNzsfcMAB8eqrr+bp7+j06dOjZ8+esWnTpnTbDz/88Bg6dGiUKOFUGAAA+D9r1qyJIUOGxPPPP5/uxpuI3zeRrF+/PhYtWhRjx46NQYMGRc2aNeOss86Kc889t0CCS0488cR0w7lSU1NjxIgRcfHFF+d7DbuapKSkDMO58mMt5tprr83xmLuL4cOHx9///vccvWbBggU5Wov58ccfc1pWrmX28+R0nTc7zjnnnAxD+LP7c48bNy7OP//8SElJSbe9bdu28eSTT+bpTcGffvppXHzxxRmu7Xfq1CkGDhyYZ/Nlx/z583N1E3ZOXjNkyJA44ogj0m3L6brarFmz4tlnn42333470+tnixcvjsWLF8e8efNyFM5VVK7DpOeRRx7J8FpLev+PFy1aFE8//XQMGzYswzXHlStXxsqVK2P27NnxzjvvxF133RWnnnpqXHPNNVGtWrVs1/bpp5/G448/HpMmTcqwz/Lly2P58uUxefLkGDp0aNSqVSv69OkT3bt3L5I332f2OZORnFwP69atW9x99925KS0+/vjjGDp0aIwdOza2bNmSYb9Vq1bFqlWrYs6cOfH555/HoEGDolSpUnH88cfHeeedF82aNcvV/Nk1a9asePXVV2PkyJGxbNmyTPsmJyfHmjVrYunSpTFnzpwd/t/XqlUrWrduHR07dowjjzwyV99L1Ja72jL67tGqVasYOnRojscr6grzvZ8X15pyoqD/bVetWhUvvfRSvPXWWzFr1qxM+277Gztz5sztf2OrVKkSXbt2jfPPP3+X22T35ZdfxrBhw2LMmDEZnm9ts3nz5li1alUsXrw4fvrppz+1FStWLBo1ahTHHntsdOzYMQ455JD8LBsAKCK+/PLLePnll+Ozzz7L9AEKGzZsiA0bNsSyZctizpw58cUXX2xv22uvveKoo46Krl27RuvWrfOkruLFi8cJJ5wQr732Wro1e0DGjipUqJBpe07P2X766aeYMGFChu0NGjSIv/zlLzkac3dSlNd2ciMv1sSzK7M145z83P369Ythw4Zl2D5w4MDo1KlTrmrMyNVXXx3vvPNOum0JCQnx5JNPRtu2bfN0zqxktq6bkfHjx2f7elDt2rXjP//5T4btOTn/37p1a4waNSqGDBkSEydOzHDMbUE5c+bMyVaNf7R8+fIYMmRIvPnmm7Fo0aIM+2271rx06dKYOnVqvP322xHxf59tZ555Zp4HRrRr1y4WLFiww/GM/h9/8cUX8dRTT8XYsWMzHHPp0qWxdOnSmDJlSgwdOjRq1KgRl156aZxxxhnZ3tuzbt26GDp0aAwdOjTD9cJt/7/mz58fn376aTzwwANxzDHHxHXXXVckA80K+9pUftxjntPP6SlTpsSzzz4bH3zwQYbr/Fu2bIkNGzbEwoULY9myZTkO59qwYUMMGzYs3njjjZg2bVqmfbddT/j555+370crX758nHzyyXHBBRdE/fr1czR3ThS1NfFd2csvv5xp+5VXXlkwhUA+uPnmm+PTTz/N8Lx4257AI488Ml/mX7JkSQwYMCDdtttuu63IPMDL9QgAoCgpmFQTAPY4ixcvjieeeCJOPfXU6Ny5cwwcODC+/PLLLIO5MpOSkhJffPFFXH755dG9e/f4+uuv87DijJUqVSrDjQ5fffVVrFmzpkDq2N188cUX0alTp7j22mvjm2++yXBDSGbWrl0bw4cP376xYvny5flQacFauXJlDB48OHr27Bnt27ePu+++Oz766KMsg7kys3Xr1pg0aVLccMMN0alTp/jwww/zsGJyYvXq1Rm2ZXWzyn9bsWJFjBkzJsP22rVrx8knn5yjMSEvNWzYMG655ZYM23/44Ye466678my+devWxd/+9rcMg7kqVaoUDzzwgGAuAADgT/7zn/9Ep06d4uGHH84wmCsjixYtivvvvz86duwYX331VT5V+H+aNm2a4U3Z77//fr7PvyvKbO02p2sxP/zwQ3z77bcZtjdv3jzfQ0EgM0cccUSmTy/95JNP4plnnsmz+RYvXhx9+/bNcG2/bt26cfvtt+fZfLubTZs2xT333BNdunSJ1157baeun2Vkd7oO8+KLL0anTp1i6NChmW7c/W/JyckxfPjw6NixY7aujSxdujQuuOCCuOiiizIN5krPwoULo1+/fnHhhRfGqlWrcvTaPdW3334b3bt3j7/+9a/x+eefZxrMlZFNmzbFqFGj4swzz4wLL7ww5s2bl+d1rl27Nu6888449dRT47nnnstyM012LFy4MIYPHx4XX3xxHHXUUbFu3Tq1FWBtsDM2bdoUDz/8cBx33HExcODALIO5MrJixYp49tln44QTTogHH3www+tbRckvv/wSF110UZx//vkxcuTILDfCZCU1NTVmzJgRTz/9dJx++unRu3fvPKoUACiKvvzyy+jSpUucf/75MXr06Byd3/+3xYsXx/Dhw+Pcc8+Nk046Kc/uhzzqqKPSPZ6amuqey3Rktf6R2YNM0/PKK69k2t67d+8iGYjOnuPmm2/O9AEG//jHP+KXX37Js/leeeWVDIO5In5/TxR0MNeuZObMmfE///M/ceWVV2YazJVbmzdvjoceeijatWsXTzzxRKbBXJmZPXt2DBgwINq1axcvvPBCrtbxd9Zvv/0WV111VfTu3TvTYK70LFmyJG699db4n//5n1i6dGmW/T/55JM48cQTY+DAgTleL/zss8/iL3/5S7oPs6LwrFq1Kv7+97/HGWecEe+9916u1vmzkpKSEkOGDInjjz8+br/99iyDuTKydu3aeO2116JTp05xyy23ZLqvI7fjWxPPO1OmTInp06dn2N62bdsiGdYH2VW1atU4++yzM+2TVUDdzujfv3+6n4Ndu3aNNm3a5Nu82eV6BABQFAnnAiBfDBs2LAYOHBgzZszIl/F/+OGHOOecc3L85JXcatWqVbrHt2zZEl9++WWB1LC7SE5OjltuuSV69+6dqyfMpGfr1q0xcuTI6NSpU3z66ad5MmZh+eSTT+LOO++MKVOm5Mv48+bNi8suuyxuvvnmfLn4Qca2bt2a6YXHnD5Z74MPPojk5OQM27t37x7FixfP0ZiQ10477bTo3r17hu0vvvhijBo1Kk/muuWWWzL9u3LXXXfF3nvvnSdzAQAAu4ennnoqLr300liyZMlOjbNw4cLo3bt3PPXUU3lUWfqKFy8ezZs3T7dt2rRpOQ4X292tWrUq05uzcroW895772Xa3rNnzxyNB/nh0ksvzfRGyYEDB8bkyZN3ep6UlJS45pprMvzcSUxMjIEDB+b5U953F0uWLImzzz47Bg0alC/r9LvTdZgtW7bEjTfeGLfddttObThYs2ZNXH755Zlu8pw0aVJ06dIlPv/881zPExHx+eefx9lnnx0rV67cqXF2Z1u3bo1HH300zjjjjPjuu+/ybNzPPvssOnfuHG+88UaejTl9+vTo3LlzDB48OFJSUvJs3D9atWpVrsZWW+5qg53x7bffRufOneOxxx7bqTCJP0pOTo5//etf0aNHjzzdxJ3X3n777ejcuXO+fg/YHR7GBgDsaO3atXHNNdfE+eefHz/++GOejz9nzpwYN25cnox1xBFHZBj+9Nlnn+XJHLuTzK6tVK1aNRITE3M03ujRozNsK1u2bHTu3DlH40FeK126dDz44INRpkyZdNvXrl0bV155ZWzevHmn5/rxxx/jzjvvzLC9adOmcfXVV+/0PLurDz/8MHr27JnjBzBk188//xzdunWLxx9/PM8evLFq1aro379/9OrVq0DPj+fMmRNnnHFGvPvuuzs1zuTJk6Nnz56ZPjxh4MCB8de//nWnAouSk5Pjrrvuivvvvz/XY5B3Zs2aFT169Ijhw4fnW7DcL7/8Ej169Ig77rgjfvvttzwZMzU1NV5++eXo2rVrroO+/ps18byX2XfDiMh0fwLsKs4+++xM93x99tlnefLd8r+NGjUqPvjggx2OV6pUKW644YY8ny+nXI8AAIoq4VwA7LJSU1PjkUceiVtuuSXf5zriiCMybPvkk0/yff7dxbp16+L888/Pt/T2lStXxl//+td44YUX8mX83ckrr7wSffr0yTTcibw1bdq0TJ+wcvDBB+dovKw+e0455ZQcjQf55eabb45GjRpl2H7TTTdlekE+O1577bV4++23M2w/77zzol27djs1BwAAsHt56qmn4v7778+zm0RTU1Pj/vvvjwEDBuTJeBnJaJ1y69atu3xofV776quvMm3Py7WYUqVKRfv27XM0HuSHYsWKxYABA6JatWrptm/ZsiWuvvrqWLVq1U7N88gjj8SECRMybL/++utz/B7bU6xYsSJ69eoVU6dOzZfxd6frMFu3bo2+ffvG66+/nifjpaamxm233ZbuZtqvv/46evfunWdBlzNmzIjLL7883zaj7Mq2bNkSV111VTzyyCP5solk48aNccMNN+TJ5qwZM2ZEr1694tdff82DyvKW2qDgvfnmm/G///u/+Rag9eOPP0aPHj3ihx9+yJfxd8aIESPiuuuui02bNhV2KQDALmb27NnRrVu3GDlyZGGXki1VqlTJ8B6nsWPH5sum6F1ZZmvwBx10UI7G+uGHH2Lx4sUZtrdr1y7DQCQoSI0aNYqbb745w/bvvvsu7r333p2aY/369XHllVdmGPpUsWLFeOCBB6JEiRI7Nc/u6sMPP4wrrrgiz0K1/9vXX38dPXr0iJ9++ilfxh8/fnycfvrpefbgjczMnz8/zj777Jg7d26ejLdw4cK45JJLYu3atTu03XHHHfHEE0/k2Zr5U089lWfXDsidX375Jc4555w8+/1Jz+effx5/+ctf8vQhH3+0cOHCOOuss+KLL77YqXGsieePzO7PKFu2bBx//PEFWA3kj7322iuOOuqoDNvXr18f48ePz9M5V61aFf/85z/Tbevbt29UqVIlT+fLKdcjAICizGocAIWqcuXKUaFChUhKSory5cvH5s2bY82aNbFs2bJsP9ng5Zdfjlq1asVf//rXfKvzoIMOiqSkpFizZs0ObZ6IlT2bNm2Kiy++OL7++uts9S9fvnzUq1cvKlSoEMnJybFs2bKYP39+lk+RT01Njf79+0fx4sXjzDPPzIvSi6SKFStGxYoVt793UlJSYvXq1fHbb7/F0qVLszXGRx99FLfffnv0798/n6sl4vdFwowkJSVFkyZNsj3Wli1bMr25pV69elG/fv0c1Qf5pUyZMvHggw9Gjx49YsOGDTu0r1mzJq688sp46aWXomTJkjkef+bMmRleIIiIOOSQQ+Laa6/N8bgAAMDu68MPP4wHHnggw/ZSpUpFvXr1olKlShHxexDJ3Llzs3Xjz9NPPx3Vq1eP8847L4+q/bPMHiLw2WefxWmnnZYv8+6K3nzzzQzbGjRoEFWrVs32WEuXLo3p06dn2N68efMoX758TsqDfFO9evW47777onfv3pGamrpD+4IFC+Lvf/97PP7447ka/6uvvoonn3wyw/b27dtHr169cjX27i41NTUuvfTS+PnnnzPsk5SUFFWrVo1q1apFsWLFYvXq1TF37tx019X+2+52HebBBx/MdPNu9erVo1q1alGhQoVYvXp1LFq0KMtriykpKXHdddfF6NGjo2LFihERMXfu3Ph//+//ZbhZq0yZMlGjRo2oUqVKFC9ePJYtWxYLFizI8uEn48ePj1dffTXOOOOMLH7SPcfWrVvj2muvjffeey9b/cuUKRP16tWLihUrxtatW+O3336LOXPmZOvBM0899VQkJCTE1Vdfnata169fH5dffnm2wwzLlSsXtWvXjnLlykWZMmVi06ZNsXbt2li7dm0sXbo0Tzdwqw0K3iuvvBK33HJLtjeQVq9ePSpXrhyVKlWKLVu2xIoVK2LJkiVZbgxeuXJlnHfeefHyyy8XmWu9M2bMiJtuuinbP3uVKlWiZs2aUaZMmShVqlRs2LAh1qxZE2vWrImlS5em+/0UANg9TZ8+Pc4///wcBWFXq1Yt9t577yhbtmxs3bo1Vq1aFatXr44lS5bkS8Bzeo444oiYOXPmDsc3bNgQ48ePj6OPPrpA6ijqFi9enOn9iy1btszReFndh922bdscjQf5qXv37jFu3LgMr0MNHTo0jjjiiOjQoUOuxr/tttti9uzZGbbfeeedUbt27VyNvbv77rvv4uqrr87wb0axYsWiatWqUbVq1ahUqVJs3rx5+7p4ds5Xp0yZEhdddFG2g79q1qwZtWrVitKlS8f69etj/vz5sWzZsixft3DhwujVq1e88MILsc8++2Rrrpxau3ZtXHjhhRnuOShZsmTUqFEjqlevHiVKlIhly5bFwoULs7xe/tNPP8Vdd90Vd9xxx/ZjTz/9dAwZMiTD11SpUiWqVasWlStXjnXr1sWSJUtiyZIlWf4M99xzTxx33HEZPrCG/LPt92f58uUZ9qlUqdL299vWrVtj5cqV2V7fj/h9n8sVV1yR7TXiKlWqRJUqVaJixYpRrFixWL58eSxZsiTdsLg/2rhxY/y///f/YtCgQdGiRYtszfVH1sTzx6JFizINQWzVqlWUKlWqACuC/HPCCSdk+jDGsWPH5ul56N13353u3/9WrVpF9+7d82ye3HA9AgAo6oRzAVBgypQpE8ccc0w0b948mjRpEk2aNNm+wS09v/76a0yZMiXeeuut+OSTTzLdDPDQQw/FkUceGYccckg+VP77xZgDDzwwxo0bt0PbkiVLYvbs2dGgQYN8mXt3ceutt2a5IaRs2bLRo0eP6Nq1axx44IGRkJDwp/Z169bFl19+GS+99FKWT6i4/fbbo0GDBtGqVassa6tYseIOi1WrVq2Kb7/9Nt3+devWjbp162Y57n/ba6+9cvyaiIjExMQ44ogjonXr1tvfO9WrV8+w//Lly2Pq1Knx7rvvxujRozO9EPbKK6/EMccck+uLwGTPzJkz4+WXX86wvXPnzjkKJfrpp58yvbibnd/73V167+ttvv322wwvguVk4bp06dK5qm1PtN9++8VNN90UN954Y7rt06ZNi/vuuy/69euXo3E3bNiQ6VPikpKSYuDAgZGYmJjjmgEAgN3TypUr4+abb97hRp5ixYrFySefHD169IjmzZvvcJ6+efPm+Oabb+K1116L9957L9MbeO699944+OCDc3XzZlaaNGkSiYmJ6d60Onbs2Dyfb1f1+eefx0cffZRhe05vKJs6dWqm7dZifl/7zGhdZcKECemuUZYqVSrHm7TInjZt2sQll1ySYQDXmDFjYvDgwXHuuefmaNylS5fGtddem+FnYO3atePOO+/Mcb15qXTp0hn+Ls6YMSPDDR0tW7bM9k3c20KdcurJJ5+MSZMm7XB8n332ib/85S9x/PHHp/sQh9TU1JgyZUq8+eabmdZYlK/D5NT48ePTDYE76KCDomfPnnH88cene81l2rRp8frrr8crr7yS4e/pb7/9Fg8//HD84x//iI0bN0afPn1i9erVf+pTqlSp6NmzZ5xwwgnRokWLHdYX16xZEx999FE89thjMWfOnAx/jgceeCA6dOhQ6E8Yjvj9IQbpXYfIq+th+++/f5Z9Hn300SyDuRITE6Nr167RrVu3aNasWRQvXvxP7Zs3b94efPb+++9nenP2k08+GY0aNYouXbpk62f4o0GDBmX6b1usWLHo0KFDdOjQIY444oioUaNGhn23bNkSc+bMiRkzZsTkyZPjo48+il9++SXHNalt52rbUxWF9/6u7sMPP8wymCsxMTFOOumk6NChQ7Ro0SLdTaHJyckxefLkGDNmTLz88ssZBm+uXLkyLr300nj99dejXLlyefZz5Nbtt9+e6abAcuXKRbdu3aJt27Zx+OGHZxpavGHDhpg5c2bMmDEjxo0bF59++mmsXLkyH6oGAArbr7/+GhdeeGGWwVyJiYnRvn376NixY7Rq1SrD8+cNGzbE999/H9OmTYuPP/44xo0bl29hXZndgzxu3DjhXGnuvffeDO9LLV68eHTt2jVH42W1Bp/Zg0v2FM7vipZbbrklvv3225g1a1a67f369YsDDjgg6tSpk6Nxhw8fnunDZ84555xo3759jsbMa3Xr1s3ws/Dzzz9P93jFihWzvccjt0FLmzdvjr59+6b72dS2bds4+eSTo23btun+rVm7dm18+umnmQZILVmyJC677LIsg7kaNWoUZ599drRv3z7de/3nz58fo0aNiueffz5+/fXXDMdZvHhxXHbZZfHKK69EmTJlMp0zN+64444dHiSy7fO7Y8eO0bp16x2uR6xfvz6+/PLL+Ne//hXTpk3LcOxhw4bFGWecEYceemiMGzcu3Ydm7bvvvnHmmWfG8ccfH/vuu+8O7bNmzYq33norBg0alOG6xOrVq+Oee+6JAQMGZOMnzl9F+dpUfrjrrrti7ty5Oxxv3LhxdOvWLcN/1y1btsSECRPi9ddf32Ht/4+mTp0af/vb3zJdk0pISIjjjjsuTj755GjRokW6oYWpqakxbdq0+OSTT+L555/PcB1q06ZNccUVV8Qbb7yR4/0+1sTzR0bfbbZxfwa7k6OOOirT9u+++y7P5vrqq69i+PDhOxwvWbJk9O/fP8/myS3XIwCAok44FwD5qnjx4tGhQ4fo3LlzHHPMMTkKMtl7771j7733jo4dO8bChQvjtttui48//jjdvikpKXHbbbfF66+/nkeV76hx48bphnNF/L74J5wrY2+99Va6Czh/dPzxx0f//v0zXXAuV67c9sXpTz75JPr165fhE2S2bNkSV199dbz77rtRoUKFTOdu0qRJPPPMM386Nm7cuOjVq1e6/bt06RKXX355pmPmhWOOOSa6dOkSxx9/fCQlJWX7dVWrVo3jjz8+jj/++OjXr1/ce++9mf7//+c//xlt27bNUTgU2ffLL7/EhRdemOGTXkqWLJnjTXDff/99pu1NmzbN0Xi7o/Te19ucc845MX78+HTbMnoNO+/000+PcePGxVtvvZVu++DBg+OII46IE044Idtj9u/fP9Mn49xxxx359uQwAABg1/TKK6/scI7eoEGDuO++++Kggw7K8HUlS5aMNm3aRJs2baJ3795x7bXX7nDD8jYpKSlx/fXXxzvvvJPnN0uXKFEiGjZsGNOnT9+hbdmyZbFo0aKoWbNmns65q5k6dWpceeWVGbZXrlw5Tj/99ByNaS0ma0cddVSGNw22a9cuFixYsMPxatWqWYvJR3369Imvv/46w3WwAQMGxOGHH57tDTGpqalx3XXXZbgmX6JEiXjggQcKfXNAZr9XN9xwQ7zxxhvptt1999053iiVU/99DatMmTLx//7f/4vzzz8/0/X5YsWKRbNmzaJZs2YZ9inq12Fy6oknnvhTCErFihXjhhtuiG7duu0QKPZHBx98cBx88MHRvXv3uOiiizK8wfbVV1+Nyy67LAYNGhQzZsz4U1uHDh2iX79+UatWrQznSUpKii5dukTHjh3jlltuyfD//cqVK+PFF1+MPn36ZPLTFozrr78+3eMFdT3s66+/jsceeyzTPs2aNYu777473U0725QsWTKOPvroOProo2Pq1Klx7bXXprsJaJubb745mjVrlqN14s2bN8fQoUMzbD/wwAPj/vvvz/a14RIlSkSjRo2iUaNG0alTp+jXr1/MmjUr3nnnnXj55Zdj+fLlasvn2vZkhf3e39XNnj07rrvuukyDuU4//fS44oorsty4l5iYGC1btoyWLVvGhRdeGHfffXe8/fbbGc573333xS233LJT9e+sadOmZfhdMiLi1FNPjZtvvjnb3wPKlCkThx56aBx66KFx+umnR0pKSkyaNCmGDRsW77zzTl6VDQAUsuTk5Lj00ktj6dKlmfY75ZRT4tprr830/HubMmXKRPPmzaN58+Zx7rnnxvLly2PUqFExePDgTM8Jc6Nx48YZtmUVErCneOCBB2LkyJEZtnft2jXHwRaZrcHvvffeuX4w7u7E+V3RUrZs2XjwwQejR48e6T5YdPXq1XH11VfHCy+8kO0Hi86aNSvTUISDDjoow9+DgtS1a9cMA/gy+gxt3Lhxvl8Pmjx58g7Htj1UtnXr1pm+tnz58tGpU6fo1KlThn1uuOGGTP+2lSxZMq655po455xzMg0dqlOnTlx44YVx9tlnx8MPPxyDBg3KcN3hxx9/jLvvvjtuu+22TOvPqcWLF++wpt28efO49dZbMw3qK1u2bLRv3z7atWsXjzzySIYPiNm6dWv8+9//jgEDBkS/fv3+FKhZunTpuOqqq+Kss87K9L3RsGHDuOqqq6Jbt27Ru3fvdK8zRkS8/fbbceWVV6YbzFSQivK1qfzw39e7KlX6/+zdd1hUR9sG8BuWujRFmmDv2BW7GKOxd9TYjSWJGDXGHruvJtZYo8YWaywx9hJLNHbF3ntFESkiIFIX2P3+MPKJ7DnsLmcb3L/ryvW+O8/ZmUddlt2ZM8/kw/Dhw9GlSxdYWloKPs/Kyirjngsh0dHRGDRokOjh9I0bN8bo0aOznWu2tLTMmIvq27cvlixZgnXr1qm99s2bN5g0aRJWrlwp2ufHOCeuP2IFAAHxgrpE5qZw4cJwc3MTXJPP7n4lTSUlJWHSpElqYwMHDkTx4sUlGUdXXI8gIiIicyD8jZeIiCgH7Ozs0K1bNxw+fBiLFi1C06ZNtSrM9Slvb2+sWLECY8eOFbzm1q1bOHnypM5jZIeL7rp5+/YtZs2aJXpNv379sGzZMtENIZ9q2LAhduzYIXqD/uvXrzFv3jyN+zQFVlZWaNOmDfbs2YPff/8d7dq106ow16fy58+PmTNnYsGCBYKLfeHh4XotbJdXpaSkYP369QgICEB4eLjgdd99953WE5kPHjwQjZcqVUqr/ogM5X//+5/o633cuHF49eqVRn3t3r1bdMNhjx490Lx5c61zJCIiIiKi3O3Twlx+fn7Ytm2baGGuT1WsWBHbt28XLZISGhqKVatW6ZynGM5TqhcfH49FixahR48eePfuneB148aNQ/78+bXqm3MxZI5kMhnmzp2r9hR44P374fDhw0V/Xj62bNkyBAUFCcaHDx/OQnVacHBwwO+//47AwMAcH5yRG9dh0tLSMv6/u7s7Nm7ciI4dO4oW5vpY5cqVsWrVKsHNPQqFArNmzcqyCaNfv35YvHixRhuDgfcbrqZPn47GjRsLXiN0WEFekpqaiilTpogWt2nZsiX++OMP0dfbpypXrowdO3aIvvckJSVpvXnt/PnzgoXdSpcujc2bN+f40KaSJUti6NChOHHiBKZPn67x+wBz0y03Il0olUqMHz8eiYmJauOOjo5YvHgxpk+frnWhADc3N8ydOxcjR44UvGbLli24c+eOVv1K7dChQ4Kxjh07Yu7cuTkq0CmTyVCjRg3MnDkTJ06cQL9+/XTui4iIiEzHkiVLRDcP29nZYf78+Zg/f77G378/VaBAAfTs2RMHDx7UquCBJkqWLAkrKyu1sdu3b4t+t83tHj58iD59+mDFihWC1xQoUEDr4kHx8fGCRVeA9/8mRKaoTJkymDhxomD8xo0bmD9/vkZ9JScnY9iwYUhKSlIbd3R0xMKFCzkXooUaNWrgzz//zLYwlyb27duHs2fPCsYdHR2xdu1a9O3bV7Qw18fs7OwwZswYzJkzR/Q5W7duxbVr17TOWczH8+8A0Lx5c6xbt060MNfHLC0t8cMPP6B3796C1/z777+YMmUKXr58mdHm5OSE33//HX379tW4aF2xYsWwdu1awfkHlUqFPXv2aNQX6Ye7uzs2b96Mbt26iRbm0tRPP/0kWAjP2toaU6ZMwbJly7T+/Ofk5IRx48Zhzpw5gq+/kydP4ujRoxr3yTlx/Xn06JFonPdnUG4j9js4NjZWkuJ8ixYtQkhISJb2kiVL4ttvv81x/znF9QgiIiIyByzORUREetG/f39MnTpVq1OINdGvXz/RU3z+/PNPScf7WLlytPkSGwABAABJREFU5QRj2VXmz8vWrl0rOhEUEBCAsWPHaryh4mNeXl5Ys2aN4OYiANi2bRtevHihdd/G0rp1a8ybN0/09aaLVq1aYfr06YJxff7s5HYqlQoJCQmIjIzEzZs3sW3bNowbNw7169fHjBkzEB8fL/jcgIAAfPfdd1qPmV3xIilvOCKSkoODAxYuXAhbW1u18bdv32LEiBFZFv8/9fTpU9ENVb6+vhg3blyOciUiIiIiotyvePHiWLFiBRwdHbV+rqOjI1asWIGiRYsKXrNmzRrExMTkJEW1xOaN8kJxLqVSifj4eERERODy5cvYtGkTfvjhB9SvXx+//fZblgJsHxs8eLDgad5ixOZinJyc4O7urnWfRIbg6emJOXPmCM6/h4SEiG4e+uDixYtYunSpYLxhw4b4+uuvdc4zr7GyssLvv/+OGjVqSNJfbl6Hkcvl2LBhg8abgj5WuXJldOvWTTC+Z8+eTL8zunXrptPfk6WlJSZPnix4SNHz589x9epVrfrMbXbv3o3Hjx8LxuvWrYu5c+dqvCHrY05OTli1apVoUa/Tp0+LnrT8qStXrgjGJk2aBHt7e21SFGVjY4POnTtrfMgVc3tP29yIdLFjxw7Bza82Njb47bff0KxZsxyNMWDAAHzzzTdqYyqVCosXL85R/zkl9HMtl8sxYcIEScdydXVFhw4dJO2TiIiIDC8kJASrV68WjNva2mL58uVo3bq1JOPJZDK0adMG3bt3l6Q/4P1nPaF77969e4fg4GDJxjJVCoUCMTExeP78OY4dO4bffvsNnTp1Qtu2bXH+/HnB5zk7O2PVqlVaH44hVpgL4L2QZNq+/PJLtGnTRjC+du1aHD9+PNt+fvrpJzx8+FA0XqRIEZ1yzIsqVaqE33//Xac14E+lpaVh4cKFgnErKyssXrxY5/n+du3aiX7HVqlUGhd504W/v7/Ohd9GjBgheCBIeno6du/enfFYJpNhxYoVqFmzptbjFC1aFAMHDhSMsziX8Tg5OWHjxo2SFdIMCgrCgQMH1MYsLCwwY8YM9OjRI0djtG/fHuPHjxeM//rrrxoXY+WcuP6EhYUJxlxcXETXLYnMUXbvo+Hh4Tnq/+bNm9iwYUOWdgsLC0ybNs0kCv9xPYKIiIjMgfpjPYiIiEzYd999h8OHD6tdhDp9+jTi4uJyVA1biNhN3Q8ePJB8vNwgISEBGzduFIwXLFgQU6ZMydEYPj4+mDRpEoYPH642np6ejlWrVuGnn37K0Ti5QUBAAP7++2+cPn06S+zBgwd49OgRSpcubYTMTM+SJUuwZMkSvfVvbW2NgQMHYtCgQTptiBKbXLWzs9PLeyCRVMqVK4cJEyZg8uTJauPXrl3D/PnzBU9RTElJwbBhwwRPKv9QAMwUFgmIiIiIiMh0fbh508nJSec+XFxcMH36dPTq1UttPCkpCZs3b8bgwYN1HkMdsXnK+/fvSzqWoYwbN06vRZblcjnGjBmj8yYtsbkYoZvOiUxFgwYNMGDAAKxYsUJt/NChQ9i0aRN69uypNh4dHY2RI0ciPT1dbdzT0xOzZs3SaZ4zr/rmm29QvXp1SfrK7eswY8eOzdEGzIEDB2LTpk1QKpWi1xUvXhxjx47VeZyCBQsiICAAW7ZsURsPCgqS7N/c3KhUKqxatUow7uDggDlz5sDKSvfbl5ydnTFnzhx07dpVcNPM8uXLUatWLY36e/78udr2AgUKaNyHvjA3IsNQKBT47bffBOPTpk1D7dq1JRlrxIgRuHLlitpCYCdOnEBISIjkh+JpSujn+rPPPpNkgzMRERHlPosXLxY9PGHMmDGoW7euATPSTbFixQSL5Ny/fx/Fixc3cEY5V7ZsWb327+vrizlz5uhUYD27jeacgydTN23aNNy+fVtt8T6VSoWxY8diz5498PLyUvv8ffv2Yfv27YL9d+3aFa1atZIq3VzP2toaM2fOlKwozv79+/Hy5UvB+FdffYV69erlaIyePXvi5MmTOHnypNr4xYsXcfXqVcnnmPPly4eZM2fC0tJSp+fL5XL07dsXc+bMyfbawMBA+Pn56TQOAPTu3RvLly9HXFxcllhwcDDCwsJQsGBBnfsn3YwZM0b03gVtLViwQDA2ZMgQtGvXTpJxevTogYsXL+LgwYNZYg8ePMCFCxdQp06dbPvhnLj+iBXnyosHp+3duxfXr1+XvN///e9/ks8979q1C7t27ZK0T3W++OIL0Tl8c5Pdd57w8HBUqFBBp75TU1MxceJEtfd7dO7cWbIDxXKK6xFERERkDnSbQSEiIjIimUyGQYMGqY2lpqZqdfKxNhwdHeHg4KA2lpiYiOjoaL2Ma84OHTqEd+/eCcbHjRsnyeJXq1atRG/a2L9/v2ARl7xm6NChgrGzZ88aMJO8ydbWFh07dsSuXbswZMgQnRc0X79+LRhzc3PTNT0ig+natavoKZhr1qwRvNFg+vTpokUxp06dKuliLxERERER5U5t27aV5AbmmjVrit4Qv2PHDo1PVtWUp6enYCy7E+bzGkdHR3z11VfYv3+/zoW50tPTRed+ORdD5uCHH34Q3fQwa9Ys3Lt3L0u7SqXCmDFjEBkZqfZ5MpkM8+fP5+nEWvDx8ZG0aGNuXoepUKECunbtmqM+3NzcNLqhWIq/p+bNmwvG1P185RUXLlwQvJkaeL+hRopNtlWqVEHHjh0F4+fOnRPdRPcxdRu8gPc/v8YuRMjciAzj4MGDePXqldpYzZo1ERAQINlYMpkMP/zwg9qYSqXCzp07JRtLW0I/14UKFTJwJkRERGQOoqKicODAAcG4v7+/YHF4U8M5eM2VKVMGU6dOxbZt23QqzAWI3wsJ5M0CDGReHBwcsGjRItja2qqNx8bGYvjw4UhLS8sSe/bsmeAhp8D7wnoTJkyQLNe8oF+/fpIeVC1WOM3d3V2y+f4JEyaIHki7bds2Scb5mBRzs2Lz4h94eHgI7v3RlI2NDRo1aiQYv3v3bo76J+1Vq1YNX375pWT9Xb58GTdu3FAbK1q0KAYMGCDZWAAwbNgwyGQytTFN5+M4J64faWlpiImJEYznxfszXrx4gTNnzkj+X3x8vLH/aPSf7L7z5GS/6qpVq9TuvSlQoABGjx6tc79S43oEERERmQMW5yIiIrPUoEEDWFtbq41dvnxZb+Ny0V07+/btE4xVqlRJowUZTY0aNUowlpiYiKNHj0o2ljmrVKmS4ELalStXDJxN3pE/f36MHTsWQUFBmDlzZo4XfpOSkgRjzs7OOeqbyFCmTZuGokWLqo2pVCr8+OOPiIiIyNR+4MABbN26VbDPzp07o23btpLmSUREREREuY+FhYVoAXNtDRs2TDAWGhqKa9euSTYWID5HKbSBPK/x9vbGjBkzEBQUhAkTJsDHx0fnvpKSkkQLrHEuhszBhyJa+fLlUxtXKBQYNmwYEhISMrWvWrUKp0+fFux3yJAhJnOSqrno0qWL6AYbbeXmdZjevXtL0k/9+vVF40WLFsVnn32W43Fq1aoluAEvLxfnEnuNuru7S/bvDADDhw+HlZWV2phKpRLN5WNCB6soFAqdc5MKcyMyDLGNt/rYrFK3bl3BU++PHz8u+Xia4s81ERERaWPnzp1ITU1VG7O0tMSUKVPMpkiBWKESzsG/99lnn2H79u3Yt28funXrJng/tybE7oUEACcnJ537JjKUcuXKYdy4cYLxq1evYtGiRZnaFAoFhg8fLnjogVwux8KFCwXnHCkrS0tL9OjRQ7L+wsLCRPelfPfdd3B0dJRkrKJFi6JLly6C8UOHDkn6fdzR0VGS4uOFChXK9jDd7t275+j3xAcNGjQQjOXlOXhj6dmzp6Sf7cTm44YNGybp2hoAFCtWDE2aNFEbO3nyJJRKZbZ9cO5MP5KTk0XjUr3vEpmS7F7X2f1cCHny5AmWLVumNjZ+/Hi4uLjo1K8+8D2ViIiIzAGLcxERkVlydHRE2bJl1cYePnyot3G9vLwEYyzOlVlSUpLogpSUp8kCQMWKFUVP3jpz5oyk45krCwsLVKtWTW1Mnz87eV1MTAxmzZqF1q1b49dffxU9zUMTYpOrUi8+EemLo6MjFi5cKPiajYmJwYgRI5Ceng4AeP78OSZNmiTYX+nSpUXjREREREREH1SvXh2FCxeWrL+iRYuiatWqgnGxwja6KFCggOANzImJiTk6MTG3ePXqFcaPH4+2bdti7dq1WQoOaSMlJUU0zrkYMhdeXl6YM2eO4I3ywcHBmDx5csZjdZuFPlavXj0MHDhQ8jxzM5lMJunaSG5eh7G3t0fr1q0l6atUqVKi8YCAAEk2kMhkMhQvXlxt7OXLl9n+PsmtxF4Xbdu2lWRT1gfu7u6iG7Q0fY0KFTJ88uQJYmNjdchMOsyNSP/evHmDS5cuqY0VK1YMVapU0cu4Qu9f9+/fN9p3PKGfax76RUREROqIFe1u0KABihQpYsBscob3CWfv1KlT6N69O77++mucPXs2R31lt9Gcc/BkLrp3746WLVsKxj89DGPGjBmiBYWmTJmCEiVKSJpjblevXj0ULFhQsv7OnDkjeICPtbW1ZHPYH4jN6ScmJkr6fbxFixaSFbgpWbKkaLxTp06SjCM21//06VNJxiDNODs7o1mzZpL1l5aWJvhZ0tHREV988YVkY31MaD4uNjYWd+/ezfb5nBPXD2PcnzF58mR8/fXXkvy3Zs0ayfOj3C+717Uu68wqlQoTJ05UW9zK398fbdq00bpPfeJ6BBEREZkDFuciIiKz5ebmprY9ODhYb2O6uroKxiIiIvQ2rjm6cuWK4Elo1tbWoguQuurQoYNgLCgoSPLxzJXQz05ISEhGERzSj7CwMCxduhSNGjXC4sWLkZaWplM/YtX/pdzIQqRv5cuXx9ixYwXjly9fxq+//ppxSlx8fLza6+zt7bFw4ULY2dnpK1UiIiIiIspF9HGDUbt27QRjFy5ckHQsCwsL5M+fXzAeGRkp6XjmLDg4GLNmzULjxo2xadMmnfrI7hRGzsWQOWnYsCH69esnGN+/fz+2bduG2NhYjBgxQnD+0s3NDb/88ovg6aWknq+vLzw9PSXrLzevw1SqVEmym+uFCmZ9UKNGDUnGyW6suLg4ycYxF8+ePUN4eLhgvH379pKPKfYavXHjBpKSkrLto1ChQmrbU1NTRYsWGgJzI9K/06dPC268bdWqld7GrV27ttp2lUql0WZAfRD6ub5z5w4OHjxo4GyIiIjIlMXExODWrVuC8Z49exowm5wrUKCAYIz3Cf+/1NRUnDlzBv3790enTp1w//59nfrhHDzlJj///LNgMUKVSoUxY8YgMjIShw4dwpYtWwT76dixo+g8F6nXuHFjSfs7f/68YOzzzz8XLCKhq4oVK6J06dI65aMtKefFxYrIFSpUSLJ1EbH597dv30oyBmmmbt26sLW1lay/a9eu4d27d2pjX3zxhaRjfaxWrVqCsTt37mT7fM6J64cxinNdvXoVZ86ckeS/hw8fSp4f5X76KM61adMmXL16NUu7nZ0d/ve//2ndn75xPYKIiIjMgZWxEyAiItKV0ILG69ev9TamWNGPxMREvY1rjsRuEPX19RUtdKYrf39/zJkzR20sMjISb968Eb1xIq8Q+tlJT0/Hmzdv4OHhYdiETFCRIkW0Oq1PpVIhPj4e7969Q1RUVLabbJKSkrBkyRKcOnUKCxcuhI+Pj1b5yWQyKJVKtTFdC34RGUvPnj1x4cIFHD58WG185cqVuHnzpuhC56RJk0RPxSIiIiIiIvpYnTp1DNrnvXv3oFKpYGFhIdl4YvOUCQkJko1jKGXKlNFqTio9PR3x8fGIj49HREREtnOzsbGxmDZtGk6cOIFffvlFq5vlZTKZaJxzMWRuRo4ciatXr+L69etq4z///DN2796NsLAwtXFLS0vMnTtX8BAIElahQgVJ+8vN6zDVq1fPcR8fuLi4CMasrKxQsWJFg4wVHx8Pd3d3ycYyB2Kv0QIFCqBcuXKSj+nv7w8LCwu1hXVSU1Px6NEjVK5cWbSP2rVrY9myZWpjmzdvhpWVFUaMGAF7e3tJctYGcyPSP7FT2LN7/8gJoY0nAPDw4UP4+/vrbWwhtWvXFvz7GDNmDBISEtCpUydJv+sSERGRebp165bgvWzW1taoW7eugTPKGbECEOZ6n7C2nydTUlIQHx+PuLg4hIWFCf77fnD79m18+eWXGDVqFPr06aPVWFZW4luaeOAsmRNHR0csWLAA3bp1U3uwQnR0NIYMGYKnT58K9lGyZElMnjxZn2nmWlLPwYvds1qvXj1Jx/rA398fjx49UhuTsnh3tWrVJOvL2dlZMFa1alXJxrGzs4Otra3aAiXmuD5uzqRcVwGMNx/n4+MjuJ6gSYElzonrR3afDXl/hmnz8PBAmTJl9D5O+fLl9T6GIWX3uta2YHFYWBjmz5+vNjZ48GAULlxYq/4MgesRREREZA5YnIuIiAwuOTkZt27dws2bN/HkyROEhITg9evXiI2NRXJyMhQKRY4WUxUKBeLj4+Ho6Chh1u+JTYxqctJyXiI2Ie3r66uXMUuWLCm46PIhJ3O70eNjqampuHPnDm7evInHjx/jxYsXeP36NWJiYpCYmIjU1NQcTzZHR0ezOBeAdu3a4fvvv9f5+SEhIbh16xb27duHU6dOCf673Lx5E71798bGjRvh7e2tcf92dnZqF+6B7E+SIzJF06dPx927dxESEpIlplQqce7cOcHntmvXDp06ddJnekRERERElIvY29ujWLFikvdbrFgx2NnZITk5OUssMTERL1++lPTmJrHiXOY4T9mvXz907NhRp+cqlUo8e/YMN27cwO7du3Hx4kW1N9ACwKlTp9C/f3+sW7dO9Ebxj4n9XQMQnKMhMlVWVlZYsGABOnTooPYk8eTkZFy+fFnw+YGBgWY9z25MUm8Mys3rMNoeaCFGLpcLxgoUKCDppgixsYROfc/NjPEadXR0ROHChfHixQu18QcPHmS7mcfPzw9ubm6IiopSG9+wYQMOHjyIbt26ISAgQNLXa3aYG5H+iW281edBMWIFhIWKpupb8+bN8dtvv6mNKRQKTJgwARs3bkSPHj3QsmVLODk5GThDIiIiMhVixULKly8PGxsbA2aTc2JzBeZanGv16tU6PzcxMRH37t3DuXPnsHPnTrx69UrtdQqFAjNmzEB8fDwGDx6scf9ixdA+9EtkTipWrIgff/wRP//8s9r4jRs3BJ9rZ2eHhQsXspCLDmQymaSHAaSkpAjOMQL6KwoiNm+qSbEgTUk5N+fg4CAYEytGrgu5XK52fSIvzr8bk9Svf7HPkvqcj7OysoKjo6Pa148m83GcE9eP7O7PyIufDYcMGZKjvU2GVL9+fcyaNcvYaZgdobX3D7L7ufjUlClT1BauLFOmDPr3769VX4bC9QgiIiIyByzORUREBpGWloZjx45h165dOHfunNpNalJKTk7WS3Gu3Hgilr6EhoYKxvS1IGVlZYXSpUvj9u3bWudkqlQqFc6dO4cdO3bg1KlTel88ym5SjzRTuHBhFC5cGK1atcKrV68wefJknD59Wu21oaGh6Nu3L3bu3Knx+5adnZ3ga8EcN+ASOTk5YcGCBejevbtWm5qLFy+O//3vf/pLjIiIiIiIcp0yZcrA0tJS8n5lMhlKly6NW7duqY2zOJf+WFpaomTJkihZsiQ6duyIR48eYfz48bh586ba6+/cuYMBAwZg06ZNkMlk2faf3U1unBcmc+Tt7Y0ZM2ZotUkOAGrWrGk2N/6aIm0OaNBEbl6H0bSAoibECmZJOU52Y+l7bdQUGeM1CrzfwCa0cU5oA/HHbGxs8M0334huHnj9+jUWL16MxYsXo0KFCmjYsCFq1aqFatWqaX2DvDaYG5H+PXv2TDBmrDWp169fG2XccuXKoVGjRjh+/LjgNffu3cOkSZMwbdo01K5dG/7+/qhVqxZ8fX318t2biIiITJNY8ZIqVaoYMBNpcP49M7lcDj8/P/j5+WHw4MHYuXMnZs2aJXj/4q+//or8+fOjR48eGvWf3ffBvPh3Tuavd+/euHjxIv755x+tnjdx4kSUKVNGT1nlbq6urpLOL4WHhwseNm9paYmyZctKNtbHxOZNIyMjkZaWBiurnG0FlcvlsLa2zlEfHxMrJqePOfiYmJgs7fxdYVhSr3c9ffpUMLZ48WKsWrVK0vE+JlToSZP5OM6J6wc/G1JelN3rOruCxh/bu3cvTp48maXd0tISP/30U44/R+gL1yOIiIjIHJjmJykiIspV9uzZg0WLFhm0MJK+quGLneCVFyvwi4mMjBSM6fPUh8KFCwtuChHLyRSdPHkSc+fOlfSkm+zwdSw9b29v/P7771iwYAGWL1+u9prnz59jzpw5mDZtmkZ95s+fX3DRR+j0FSJTV6lSJYwePRozZszQ6HpbW1ssXLhQ9NQtIiIiIiKiTxUsWFBvfXt7ewsW55J6XkpsnjKvF18vXbo0/vzzT0yYMAG7du1Se821a9fw+++/IzAwMNv+bGxs4ODgoPZUSYBzMWS+mjRpgj59+mD9+vUaXZ8/f37MmzdPo6J2pJ7Uh8rk5nUYqTfsCDHkiboqlcpgY5kKY75GhWj6Gu3Zsyf++ecfXL16Ndtr79y5gzt37uC3336DtbU1ypcvj6pVq6J69erw8/ODu7u7xrkzN/3lRqSJt2/fihbfPXPmjAGz+X/G3HA2adIk3LhxA9HR0aLXpaam4syZMxl/R46OjqhSpQqqVauG6tWro2rVqlzTIyIiysXCw8MFY0WKFDFgJtLg/LswS0tLdO7cGXXq1EGPHj0QERGh9ro5c+bA399fo39/V1dX0bixitUS5dT06dNx9+5dvHz5UqPr27Rpgy+//FLPWeVeUn/nFJtHLFCggGhBqpwQm9tUKpWIioqCl5dXjsYw5Ly4oeb6ybCkXu8KCwsTjF2+fFnSsTSl6Xwc58SlZ2NjA7lcLjhP++bNGwNnRKR/2X3ncXFx0aif6Ohowb043bt3R9WqVbVNzaC4HkFERESmjsW5iIhIb2JiYjB69GicPn3a4GMrlUq99Cu2sK5NJfK8IC4uTjCmz0Udsb7fvn2rt3GllJycjClTpmD37t0GH1tfPzsEDB8+HKGhodi3b5/a+NatWxEQEIBq1apl25eXl5dg0ba4uDgoFArRm4SITFWfPn1w8eJFHD16NNtrx40bh3LlyhkgKyIiIiIiyk2kvlFU075jY2MlHUtsnpInrAIymQw//fQTQkNDcfHiRbXXLFmyBG3atNGoOIiXlxeePHmiNsbiXGTORo0ahatXrwoWFvzAwsICs2fPhqenp4Eyy52kXhvJzeswhioCZ6onA+cW5vwatbGxwZIlS9C3b1+tDtFJTU3FjRs3cOPGjYzih6VLl0aDBg3QvHlzSW56Z25E+mOqm/6Tk5ONNraPjw+WLFmC7777Tqvf8/Hx8Th79izOnj0L4P3v3KpVq+Lzzz9HixYtRDcbExERkfmJiYkRjJljUQ7Ov2evUKFCWLVqFb788ku1f19JSUmYOnUqVq9enW1f2RWZ4Rw8mStnZ2csWLAAPXr0QGpqqui1RYsWxdSpUw2UWe4k9Xyj2Hdgfa4329nZwdraWvA1Exsbm+PiXIacF+eBL7mTlD9vSUlJiI+Pl6w/qWg6H8c5cf3w8vLC06dP1cb08dlw//79Wl3fu3dvwftQiHSR3dqEpgdRTp8+Xe33cw8PD4wYMUKn3AyJ6xFERERk6iyNnQAREeVOERER6Nq1q1EKc+mT2KK7XC43YCamT2xC2libII1506qm4uPj8dVXXxmlMBfp348//ih6g86HxZXsZDe5+vz5c63yIjIlkydPznZBvkWLFujevbuBMiIiIiIiotzEWPNSYvOKuhDrT18nNZsba2trjB8/HhYWFmrjCoUCmzdv1qgvsbmYqKgoJCQk6JQjkbHZ2Nhg4sSJ2V7Xv39/NGzY0AAZ5W5Sb97kOgyZOmO9RsU2BmnzGi1QoAC2bt2KNm3a5CifR48eYc2aNejatSuaN2+OdevWCZ74ztz0mxtRdkz1NWbsA7b8/Pywfft2lC9fXuc+0tLScPnyZcydOxdNmjRBr1698M8//xj9z0ZERETSEPuuZY7FucT+PJx//39ly5ZFt27dBONnzpzB48ePs+0nuyIzvBeSzFnlypXRsWNH0Wusra2xcOFCvc6X5QVSvz+LrcXq+9/KkGvORLqQ8uctKSlJsr6kpM2cFefEpZfd/Rmm+roh0tWzZ89E45oU5jx58qRgoblJkyaZzWdNrkcQERGRKWNxLiIiklxSUhK++eYbrRdE7e3t4ePjA19fX/j5+aFOnTrw9/cX/M/Dw0NPfwJhYovuPBErM7FTfvR5g4JYkbTsTh4yNqVSiSFDhuDGjRtaPc/W1hYFCxZEuXLlUL16ddSuXVv0Z6dIkSJ6+hNQdtzd3dGhQwfB+JEjR/DmzZts+ylZsqRo/NGjR9qmRmQyFi5ciPT0dNFr4uPjoVKpDJQRERERERHlJvqclxLrW+p5Kc5TasbX1xf+/v6C8e3btyMtLS3bfsTmYlQqFZ48eaJTfkTGplQqsWjRomyvi4uLM0A2pC2uw5CpM9ZrVMrPZHK5HPPmzcOmTZtQo0aNnKaG4OBgzJw5E02aNMG2bdty1BdzI5KeQqEwdgomq0iRItixYwdmz54tySnzly5dwvfff4+AgABcvnxZggyJiIjImMQ+Rzk4OBgwE2mwOJfmvvnmG8EDMgDgzz//zLYPDw8PuLi4CMY1KfBFZKqePHmCffv2iV6jVCp5CIwJMtbcJsA5eMpbcst8HOfEpVW8eHHBmFKpxNOnTw2YDZH+PXz4UDBmb28Pd3d30efHx8djypQpamONGjVCs2bNcpSfoXE9goiIiEyVlbETICKi3OeXX34RnRgA3p/G7u/vj7p166JChQooXrw4XF1dtRpn7Nix2LVrV05S1ZrYors53kSgT9bW1oKT5fo8OV3sdAhra2u9jSuFtWvXIigoSPQamUyG2rVro169eqhUqRJKlCihdaG6xYsXY8mSJTlJlXLA399f8KaTtLQ0XLx4ES1bthTto0KFCqLxu3fvolWrVjrnSGQse/fuxc6dO7O97syZM1i5ciUCAwMNkBUREREREeUm+jxBU6xvqeelxMbiPGVm/v7+OH36tNpYbGws7t69i8qVK4v2kd2JjHfu3Mm2DyJTtHz5cpw7dy7b67Zt24Y6derk+MRnkhbXYcjUib0ezO0zWY0aNbBp0yY8fvwYu3btwuHDhxESEqJrinjz5g0mTpyIf//9F3Pnzs3RadXMjUg6lpY851SMpaUlOnTogPbt2+P8+fPYvXs3Tpw4gdjYWJ37vH//Pnr37o3vvvsOQ4cOlS5ZIiIiMigbGxvBmNg8gqnifcKa8/DwQJkyZfDgwQO18ezuh/3A19cX58+fVxsLDg5GQkIC/+7J7KSkpGDYsGHZvg+mp6dj5MiR2L17t9Z7KUh/xOYR9Tn/DnAOnvIWsSKf5ohz4tLI7v6Me/fuZbufhshcREdH49WrV4LxcuXKZbt2sXfvXoSFhWVpl8vlmDx5co5zNAauRxAREZEpYnEuIiKS1LNnz0RPOpLJZPj222/Rv39/0ZOONGGMkz+ioqIEY15eXgbMxPTZ2dkJbgp59+6d3sYVOz3Izs5Ob+Pm1Nu3b7Fs2TLRa7p164bBgwdrXYzrUzw1x7j8/PxE41evXs22OJevry8sLS2hVCrVxi9evKhzfkTG8uzZM8ETO9T59ddfUaNGjWx/poiIiIiIiD4WHx9vlL5tbW0lG0epVCImJkYwznnKzKpXry4av3r1araFtSpWrCgav3jxIrp37651bkTGdPnyZa0OcZg8eTIqVaqEokWL6jEr0gbXYcjUib0ejPWZLKev0VKlSmH06NEYPXo0Xr16hQsXLuDixYu4fPkyXrx4oXV/x48fx5AhQ7Bq1aocb6xjbkQ5J/YeUbx4cRw6dMiA2ZguCwsL1K1bF3Xr1oVKpcKDBw9w4cIFXLp0CVeuXEF0dLRW/SmVSixduhQqlQo//PCDnrImIiIifRL7HPX27VsDZiINsfuEPT09DZiJefDz8xMszvXkyRPExsYiX758on1UqFBBsDhXeno6rly5gs8++yynqRIZ1M8//5ztYecfREREYOzYsVixYkWuK1RjrsTWdvU5/w4Ybs2ZyBSIfY60s7PD9evXzfJ9kXPiOZNd4a1Lly6hc+fOBsqGSL+CgoKgUqkE45oUohO6Z8DBwQGTJk3SObePCX3nA4CzZ8/i66+/Fox3794dTZo00WlcrkcQERGRKWFxLiIiktSmTZuQnp6uNiaXy7F8+XLUrl1bkrFyUu1aVxEREYIxb29vA2Zi+pydnREXF6c2ps8b7sUWvHJaEE6fdu3aJZi7TCbD3Llz0apVK0nGMsbPDv0/V1dXWFlZIS0tTW386dOn2fbh4OCAKlWq4Nq1a2rjd+7c0eimFiIhQq9PfVEoFBg+fLhWp2WmpaVlnBjH1zoREREREWnKWIUgpPze8ubNG8HvbXK5nN+RPpFdoXtN5mJKlSoFDw8PREZGqo2fP38e6enpkMlkOuVIZOi5mJiYGIwcOVJwPUedhIQEDB8+HH/++SdsbGz0mB1piuswZOqcnZ0FY7nhNert7Y2AgAAEBAQAAF6/fo2rV6/i0qVLuHDhgsabL4OCgvDLL79g/PjxzM3IuZH5kuqzlJOTk2AsNDQUKpXKLDcD6pOFhQXKlSuHcuXKoU+fPgDef8f68HMdFBQkep/Nx3777TdUqFBB5006REREZDz58+cXjOm7gIk+CM0DA4CPj48BMzEP7u7ugjGVSoXg4GBUrVpVtI969eph9erVgvGzZ8+yOBfpTJt5cKkcOHAAf/31l1bPOXnyJFavXo1vvvlGT1mRNsTmEfU5t5mSkiJ6CDfXgSm3cXBwEDywPDk5Ga9fv87xwfbGxjlx7ZUpUwYFChTAmzdv1MaFiroSmaOTJ0+KxnNykP3r16/x+vVrnZ+vqcjISNHv0Q0aNJBkHK5HEBERkbFZGjsBIiLKXcROCp0wYYJkhbkA45yoxeJcmhObBA8NDdXbuC9fvhSMmfLE/MGDBwVjgYGBkhXmAszzNLrcRmzRVtN/n4YNGwrG0tLS8M8//2idF5kuQ9/ob+j3iRkzZuDevXuCcUtL9V9dw8LCMHbsWH2lRUREREREuVBYWJje+n716pVgTMp5qfDwcMEYNwZlld1N6lLMxURHR/MG0FwmN8/FqFQqjB07VvC9RGgeBnh/KMDs2bP1lRppieswZOry2mvU3d0dzZs3x8SJE7Fv3z6cOHEC48ePh6+vb7bP3bx5M0JCQpibieVGOWPIz1NSfZby8vIS/CykUChEN5fQ/ytRogQ6d+6M2bNn49SpU9i9ezcCAwM1eg/+5ZdfjLJxnoiIiHLGy8tLMPbixQsDZiINsTl43ieclRRz8LVq1YJcLheMHzp0CCqVStvUiAAY/l7I58+fY9KkSYJxsTn4hQsX4vr163rIirQl9h02OjoaycnJehlXbG7T0tISbm5uehmXyFisrKxEf97EfibMFefEs2dpaSlamDU8PFzwkHsic5KQkIAjR44Ixq2srCQrbJVbcT2CiIiIDInFuYiISDLPnj0TrKhdtGhRdO7cWdLx9LmRTp13794hMTFRbUwul8PV1dWg+Zg6sY2Ad+/e1cuY6enpoidHmOrmxMTERNy+fVttzMHBAYGBgZKOJ7ZRlAxD7EYRTU8L/OKLL0Tju3bt0ionMm12dnaCMaHfTTlhyBtSDh06hC1btgjGu3btiu+++04wfvz4caxbt04PmRERERERUW708OFDtaeu5lR6ejoePXokGJdyXkrsAIFChQpJNk5ukd2GHU3nYrI7LZFzMbmLra2tYCwpKUny8Qw5F7N69WqcOHFCMD58+HB06NBBML5x40bRG0TJcLgOQ6bOGK9RAKIHQRjyNVqwYEH06dMHu3fvxpo1a1C8eHHBa1NTU/HHH38wNxPPjbRjyM9TsbGxkvRjbW0tWlhC7HcgCfP19cWIESNw7NgxTJ06FU5OToLXBgcH4/jx4wbMjoiIiKRQrFgxwdiNGzcMl4hEOAevnezm4OPi4rLtw8bGRnTTeXh4OIKCgrTOjUyXIe+HlOo7oyYUCgWGDx+O+Ph4tXEHBwf88ccfggWWUlNTMWLECI1+bki/ChYsCJlMpjaWnp6OBw8e6GVcsXlTT09PWFlZ6WVcImMqXLiwYCwvzMdxTly9xo0bi8b37NljoEyI9Gfv3r2in31r1KghOp9OWXE9goiIiPSJxbmIiEgyYpvPWrRoIelYz58/R1RUlKR9ZufZs2eCsXLlyhkwE/NQpkwZwZjYTfE58fTpU9GTaMqWLauXcXPq2bNnSEtLUxtr1KiR6CK0tpKTk/X290+aE1s4F1rM/VSZMmVQpUoVwfjVq1d5glYu4ujoKBhLSEiQfLzQ0FDJ+1QnJCQEEydOFIyXLVsWEyZMwODBg1GrVi3B6+bOnYtbt27pI0UiIiIiIsplkpKSEBwcLHm/wcHBgvNScrlc9IZSbYnNU5rq/JcxZbfpQtO5mAYNGsDT01MwfujQIYMfKEH6I3aDntRzMQkJCYiJiZG0TyE3btzAwoULBeP+/v749ttvMWXKFJQoUULwuvHjxxts/oiEcR2GTJ3Y60Ffr9H4+Hg8f/5cMC72c6NP9evXx59//ik6/pkzZwyY0f9jbqQvhvw8JeXnkgoVKgjGTp06Jdk4eZG1tTW6deuG9evXw8HBQfA6/lwTERGZH19fX8HY3bt3oVAoDJhNzvFeYe1INQef3QHQq1ev1jQlMgPm+p0xO7Nnz8adO3cE41OnTkWNGjUwZ84cWFqq384XGhqK8ePH6ytF0pCNjQ2KFi0qGNfX4QNi/RprbpNI3zgf9/84J/7/GjVqhAIFCgjGd+/ebbA1diJ9UCgUWLFiheg1AQEBBsom9+F6BBEREekDi3MREZFkxDYeiW3i0MXVq1cl7U8TYiecVKxY0YCZmAexSfK7d+/q5SSis2fPCsa8vLzg6uqqcV8WFhZSpKQRQ/7s3Lx5E6mpqZL2SdqJiooSLMYGiN908KmuXbuKxhcvXqxxX2TaxF4XUr+fBgcHG6QA5odT4t69e6c2LpfLsWDBAtja2kImk2Hu3LmC7+OpqamiJ84RERERERF97MKFC5L3ef78ecGYr6+vpHNNYvOUlSpVkmyc3CIyMlI0rulcjEwmE90clJqaimXLlmmVG5kusdeF1Df5Xr9+Henp6ZL2qU5cXByGDx8uOD/s7u6OOXPmwMLCAnK5HAsXLoStra1gXyNGjBCd5yT9M/d1GMr9ypcvLxiLiorSy4n358+fh0qlUhuztrY26ga2fPnyYcaMGYLxJ0+eiB7uok/MjfTBkJ+nrly5IllfVatWFYydPHlSsnHysgoVKmDw4MGC8WvXrhkwGyIiIpJC5cqVBQswKRQKBAUFGTgj3SkUCsGiz87OzihSpIiBMzJ9Us3B+/v7w8fHRzB+5swZflbMRcQOK5X6O+Ply5cl7U/IkSNHsHHjRsF4586d0bZtWwDvi68MGDBA577IMMTmN/X1u+3cuXOCMbF8iMyZ2HxcUFCQ2RV6zSnOib9nbW2Njh07CsaTkpKwdu1aA2ZEJK3ff/9ddC9hgQIF0KpVKwNmlDtxPYKIiIikxOJcREQkmcTERMGYm5ubpGPt379f0v40wU1v2vHz84ONjY3aWGpqKg4ePCj5mLt37xaM1alTR6u+xE7rEjsVXhe5/WeHMstuob9QoUIa99W2bVt4e3sLxs+cOYOjR49q3B+ZLmdnZ8GY1BuYLl26JGl/QubOnYtbt24JxidPnoySJUtmPPb09MSsWbMEN7SHhIRgwoQJkudJRERERES5z759+wzaZ+3atSUdi/OU2pFyLqZXr16Qy+WC8W3btomeiE7mQ2zDmLnOxYwfPx6hoaFqY5aWlvjll18ynT5ctmxZjBs3TrC/69evY/78+ZLnSZoz93UYyv2KFSuGggULCsb37t0r+Zi7du0SjFWtWhV2dnaSj6mNSpUqZZr3/pQhDs4QwtxIamKfpx49eiTpWFJ+nmrUqJFg7Pnz55IWAsvL2rdvLxh78+aNATMhIiIiKbi4uKBKlSqC8c2bNxswm5x59OiRYEH6ihUrGvTQV3OR3WdkTefgLS0t8c0334he89NPP0GpVGqcG5kusfshpfzOqFKpDPI9LjQ0VPTexVKlSmHixImZ2oYOHQo/Pz/B58yePRt3796VLEfSntic9/HjxyUvjnP//n3cv39fp3yIzJm/vz+sra3VxhITE3Ho0CEDZ2R8nBN/r3fv3oKHSQHA2rVr8ezZMwNmRCSNu3fv4rfffhO9plevXoL3Anyqb9++ePDggV7/q1WrluD4AQEBos/t27evNn89kuN6BBEREUmFxbmIiEgyQhOiwPuq9FJ59OgRzpw5I1l/muKmN+3Y2dmhZs2agnGxDRy6uH//Pu7duycY/+yzz7TqT2wSV+riXIb62YmJicGePXsk6490c/r0adF42bJlNe7LxsZGtIo/AEyZMiXb0+n06cyZM6IF6Egztra2gicDPn/+XNK/423btknWl5Bjx45h/fr1gvEOHTogICAgS3vDhg3Rv39/wecdOnQIW7ZskSRHIiIiIiLKva5evYqXL19K1t+LFy9ET9Jr0KCBZGOlpqYK3lzo7u4OT09PycbKLaSci3F1dRW9aUypVGL06NFGnQv5559/jDZ2blK4cGHBeVuxjRHaSk1NFS0kI5U//vgDR44cEYx/9913qFu3bpb27t27o2XLloLPW7NmDU6ePClJjqQ9c1+HobxB7HPQvn37kJ6eLtlY0dHRou9JpvIaLVGihGAsNjbWcImowdxISmL/ZmK/T7T1+PFjXL16VbL+SpYsiVKlSgnGf/31V8nGysvc3Nzg4uKiNsafaSIiIvPUrFkzwdipU6cQEhJiwGx0x/uEtRMWFiZaSEkul6Nw4cIa9/fll1+iSJEigvE7d+5gyZIlWuUopeTkZJw6dcpo4+cmhvrOeOrUKYSFhUnWnzqpqakYMWIE3r59qzZuZ2eHhQsXwt7ePlO7TCbD/PnzkS9fPrXPUygUGD58OOLj46VOmTTUoEEDwaKMCoUCBw4ckHQ8sfUiR0dHVK9eXdLxiEyFk5MT6tWrJxhfunSppGsJ5oJz4u8P9u7Vq5dgXKFQYOzYsVAoFAbMiihnwsPDMXDgQKSmpgpeU7BgQdE9M6QdrkcQERGRVFici4iIJOPq6ioYk3KzmzEWVtPT0wVPn/Hw8EDx4sUNnJF5aNu2rWDs+vXr+PfffyUba+7cuYIxBwcHNG7cWKv+hBY7gfeTYVIy1M/OqlWrJC8sRtqJiIjI9iR4sRMF1AkICECFChUE41FRURg2bBhSUlK06lcKO3bsQGBgoOBpgqQdoX9npVKJEydOSDLG5cuXcePGDUn6EhIWFoZx48YJxosXL44pU6YIxkeMGIGqVasKxmfOnCnpJlkiIiIiIsp9VCoVFi9eLFl/ixYtEoz5+PigWrVqko117949wRu0ateuLdk4ucWtW7cQFBQkGLewsBAtbKPO119/DS8vL8H4kydPMG7cOCiVSq36lcLSpUtFT2YnzdnY2KBMmTJqY1FRUZLNnxw4cEDy+eZP3blzB3PmzBGM16pVS/QAgJ9//llwA51KpcKPP/6IiIiIHOdJujHndRjKG8Reo+Hh4di0aZNkYy1cuFDwc5KFhQXatGkj2Vg5YWkpfKuW2IE+hsDcSEoVKlQQ3MB6+vRpyTZMrV27FiqVSpK+Pujevbtg7Pz589kWACbNCL0++DNNRERkntq3bw8bGxu1MaVSialTpxo4I93cunVLMMY5+KxWrVolGq9evTqsrKw07s/a2hpjxowRvWbZsmWSznlpKjo6Gl999RW/D0hE7J5XKf99165dK1lfQubPn4/r168LxidOnIjSpUurjXl5eWHmzJmCzw0ODha9l5L0y8vLS3Qdcfny5ZId2PPy5Uv8+eefgvEWLVoI/p4lyg3E5uOCg4MNcvC0qeGc+HuBgYEoUKCAYPz69ev4+eefDZgRke6Cg4Px1VdfZXt/xZgxY2BnZ2egrPIGrkcQERGRFFici4iIJCM24SVV0ZDdu3fj0KFDkvSljTt37giePGMqpyyboubNmwtWFwfeF1CRomDQ0aNHRRe827Ztm+XEoex4eHgITmg/ffpUq76yY4ifnYsXLxpkkZmEqVQqzJgxQ/RGcx8fH1SpUkWrfmUyGWbOnCk6KXjlyhUMGTLEYKeCJCcnY/LkyRg/fjwLc0lI7IaUPXv25Lj/lJQUTJs2Lcf9iElLS8Pw4cMFT5iwtbXFwoULIZfLBfuwsrLC/Pnz4ezsrDaekpKCYcOGSXbTAxERERER5U579uwRvVFeU1euXMH+/fsF4506dRK8wUcXFy5cEIxxnjIzhUKB6dOni15To0YNeHh4aNWvo6Njtjd3Hjp0CJMmTTJYga7Y2FgMGjQIv/76q+SFCfIyfc/FREdHixY7kkJ8fDyGDx8uOC+YP39+zJ07FzKZTLAPR0dHLFiwQHD+MSYmBqNGjcqTJ1abAnNeh6G8oWbNmihWrJhgfPHixXjz5k2Ox7lz547o5hx/f394e3vneBwpPHv2TDCm7ecSqTE3kpKjoyOKFi2qNvbu3TscO3Ysx2NcvnwZu3btynE/nwoICBA9zGv06NGSHrKVF0VHRwuuF/JnmoiIyDy5urqKFmg+ffq0pAWa9UVoDt7e3l7rgx5yu9u3b2dbKKNVq1Za99u0aVO0bt1aMK5UKjFs2DCcPXtW6751dfHiRXTo0EHvh17mJaVKlRIsOPD06VPRQnma2r9/v+gBLlI4efKk6L3Zbdq0wZdffinaR+PGjdGnTx/B+P79+/NkURpT0aVLF8FYWFgYli9fLsk4M2bMED2AO7vXEZG5a9iwIUqWLCkYnzFjhiS/G8wJ58Tfc3FxyXZ/w9atWzFjxgwDZUSkmyNHjqBr1654/vy56HWdOnXS6XsUCeN6BBEREUmFxbmIiEgylSpVEtxodv78+Rxvdrt37x5++umnHPWhK256041cLkfv3r0F4yEhIdlukMtOeHg4/ve//wnGrays8M0332jdr42NDQoVKqQ29vTpU0lvti1evDicnJzUxkJCQnDgwIEc9R8aGooxY8YYbDMgZaVSqTBnzpxsiwt2795dpw27ZcuWxYgRI0SvOXXqFHr37o3IyEit+9fGlStX0KlTJ2zdulWv4+RFderUEYydOHECFy9ezFH/M2fOxIMHD3LUR3YWLlyIa9euCcbHjRuHcuXKZduPj4+P6CLas2fPzObETSIiIiIiMg6VSoXx48cLFuTXxLt37zB+/HjBuL29PXr06KFz/+oIffezsLBAgwYNJB3LnKWmpmLs2LGi30EB6Pzv06BBA/Tq1Uv0mu3bt2PQoEE5eo1p4tixY2jfvr2kJ8nTe2JzMdu2bUNwcLDOfSuVSowfP17vc3WTJ08WvLnTwsICs2fPhqenZ7b9VKpUCaNGjRKMX7x4EUuWLNE5T9KdOa/DUN5gYWGBwMBAwXhcXBzGjRuXozWs+Pj4bNfBBg4cqFFfycnJ+Oeff/S2pnbr1i08fPhQbczV1VX0PZm56ZYbGVft2rUFYwsXLszRwULR0dF6KxDq4OCA77//XjAeExODQYMGISYmRvKxP3bz5k1ERUXpdQwhT548wc2bN/XWv1hRtbJly+ptXCIiItKvIUOGwMbGRjA+Z86cHN/fpE9RUVF48uSJ2lidOnVE/2x5zfPnzzFw4EDRz/Surq5o2bKlTv1PmjQJPj4+gnGFQoHAwEC936OYmJiIuXPnok+fPoiIiNDrWHmNTCZDjRo1BOO//PJLjvp//vw5pkyZkqM+shMREYEff/xR8NCUokWLanwP46hRo1CpUiXB+M8//4xHjx7plCflTKtWrVCkSBHB+Jo1a3Dp0qUcjbFt2zbRdb46deqgatWqORqDyNRZWlpi9OjRgvGUlBQMHjwYISEhes3jyZMn2RbOAcxvTnznzp0oW7as4H87d+6UIm29adKkSbZFCtevX4+hQ4fq/f4MIm09efIEQ4cOxZAhQwQLRH1Qvnx5TJ482TCJmRCuRxAREZG5YHEuIiKSjKurK8qXLy8YHzt2LKKjo3Xq+/Lly+jdu7fRJsqEinNZWVmhXr16Bs7GvPTt2xdubm6C8a1bt2LBggU69R0ZGYmvv/4ar1+/FrymW7duKFy4sE79V65cWTC2dOlSnfpURyaToW7duoLx6dOnazTJr87jx4/RvXt3hIWF6Zoe5dDLly/Rr18/rFmzRvQ6T0/PbDd1iunfvz86duwoes3169fRrl077N69W+dxhISEhODHH39Ez5498fjxY8n7J6Bq1aqipwJNmjRJp9+zSqUS06ZNw5YtW3KSXrZOnz6N33//XTDeokULdO/eXeP+mjZtKvozs3v3br2clk5ERERERLnHkydPMHDgQCQkJGj93Pj4eAQGBooW5+nXrx/y58+fgwwzS0tLw5UrV9TGKlasCFdXV8nGMmf3799Hly5d8Pfff4teV6FCBZ03BgHvC0xnNzd8/PhxtGvXDqdOndJ5HCEPHjxAYGAgvvvuO4SHh0veP72/ydfFxUVtTKFQYNy4caKnmAtJSUnB0KFDcfz48ZymKGrr1q2iPwf9+/dHw4YNNe6vb9++aNSokWB8+fLlCAoK0ipHkoY5r8NQ3tCuXTuUKVNGMH7y5EmMGzdOpwI78fHxGDhwoOi6RKNGjUQ3e35MoVDg+++/R4sWLbB582ad3ueFxMfHY9y4cYLx7AqtMjfdciPj6ty5s2Ds2bNnmDdvnk79hoaGomfPnnpdA+/WrZvoxugHDx6gY8eOkm8YUalUOHHiBHr16oUvv/xS9HewPj179gxffvklevXqhePHjwtuNtfFgwcPRAu78oA8IiIi8+Xt7S1aHDk5ORmBgYE4ePCgJOOlp6fj77//luyeJ7HCYfzu8Z5SqcTWrVvRoUOHbD+rDhw4EHK5XKdx8ufPj2XLlsHBwUHwmtTUVEyePBlDhgyRvHBWeno69u7di1atWmHVqlU8GFdPOnXqJBi7cOECNmzYoFO/9+7dQ8+ePfW65yA9PR0jRowQLNpsY2ODhQsXwtHRUaP+bGxssGDBAsGDnpOTkzFs2DAkJSXpnDPpRiaTYfjw4YLx1NRUDB48WOf5gUOHDokWcbO0tMTIkSN16pvI3DRq1AhNmzYVjEdERKBz5844efKk5GNfvnwZAwcOROvWrTUqhsg5ccObPHkyatWqJXrN4cOH0a5dOxw9elRveVy4cEHnvV2Ud6SmpuLff//FkCFD0KZNGxw+fDjb55QpUwarV6+GnZ2dATI0LVyPICIiInPB4lxERCSpFi1aCMaePXuGr776SrCCvzqJiYlYtGgR+vfvj3fv3mWK2dra6pynNlJSUgQ3vdWtW1dwIYzec3Jywvjx40WvWb58OYYOHYo3b95o3O/Zs2fRqVMn0ZvtPTw8RBfEsiM2cb1z5058//33uHr1qiQL72I/O1FRUfjqq69w+fJljftLTU3FunXr0K1btyw3HhjqZycvCwkJwd9//43AwEA0a9Ys201pFhYWmD59Ouzt7XM07tSpU+Hv7y96TUxMDH788Ud06tQJhw8fRlpams7jqVQqXL58GaNGjULz5s2xe/duSSdCKSuxG1KCg4PRp08fvHz5UuP+njx5gm+//RabNm3K1G5lZaVzjupERkZizJgxgq+PwoUL4+eff9a63x9//FG0MOi0adMET7QkIiIiIqK8ydraOtPjS5cuoUuXLrh3757Gfdy9exddunQRnDMEAB8fHwwYMEDnPNW5fv26YCGxZs2aSTqWOVEqlXjy5Am2b9+O3r17o3379rh7967oc2xsbDBjxgxYWFjoPK6VlRUWLVok+r0UeF844Ntvv0Xfvn1x9uzZHM2dpKWl4eTJkxg4cCDatWuHEydO6NwXZc/W1hZt2rQRjF+9ehWBgYFaFUu/ceMGevbsiSNHjmRql3ou5sGDB5gxY4ZgvEqVKjrNnc+aNQsFCxZUG1MqlRg9erRW8/wkDXNeh6G8wcrKClOnToWlpfAtSrt370bfvn21OvX+9u3b+PLLL3Hp0iXBa+RyOSZNmqRVvgDw/PlzTJ06FQ0bNsSECRNw+vRppKamat3PB3fu3EGXLl1EN/V07dqVuekxNzKOypUrixbnW7duHWbNmgWFQqFRfyqVCvv370fXrl3x9OnTjHapP0t96HP+/PmiG6lfvXqFHj16YNasWTkuBnD//n0sXLgQLVq0QGBgoOh7myFdunQJAwcORLNmzTBv3jzcuXMnR/0dOHAAPXv2RGJiotq4s7MzWrVqlaMxiIiIyLgCAwNFi5wmJiZi2LBhGDVqlM7FVqOjo7Fp0ya0atUKI0aMyPTZMCfOnj2rtt3S0hJNmjSRZAxzlJiYiCtXrmDRokVo1KgRJk+eLPh57oPq1aujd+/eORq3bNmyWLRoUbb3ux45cgQtWrTAjBkzEBoamqMxo6Oj8ccff6B58+YYPXo0D8XVsyZNmiBfvnyC8RkzZmDt2rUar6ukpqZi06ZN6NmzZ6bicfr4zvjrr7+K3tOd3X2N6hQuXBg//fSTYPzx48eicdKfVq1aie4pePv2LXr37o3NmzdrvKcgJSUFCxYswLBhw0Tnz3r06CF62DhRbvPzzz8LrkUCQGxsLAIDAzF+/Hg8e/YsR2M9f/4cK1euREBAAHr27KlTQRjOiRuOjY0Nli5dinLlyoleFxoaisGDB6Nbt244ePBgjv49PlAoFDh+/Dh69eqFr776SvLCsGT+oqKiEBQUhHXr1mHgwIGoU6cOBg0ahCNHjmj02aBq1apYt25dnj+UkesRREREZOqkn2UkIqI8rWfPnli7dq3gZpRHjx6hU6dOaN++PTp37oyKFStmWfRSqVS4desWjh07hh07diAyMjJLP5UqVUKxYsWwb98+vfw5Pnb69GnBL+IdOnTQ+/i5QevWrXHu3Dls375d8JrDhw/j7Nmz6Nq1K9q1a4eyZctm2RyXlJSEs2fPYsuWLThz5ozomFZWVliwYIHGpw6p06RJEzg4OAhuevznn3/wzz//wM7ODkWKFIGzs7Nolfr+/fujfv36amMtW7bEsmXLBCfSw8PD0bt3bzRv3hxdu3aFn58fbGxsslz36NEjHDt2DDt37kRwcHCWuI+PD5o2bYp169YJ5knA3r17cf36dY2vV6lUSEhIwLt37/D69WvExcVpNd6IESMkOcXExsYGy5Ytw/Dhw7M98eP27dsYOnQo8ufPj6ZNm6J27dqoWrUqfHx8BDemKpVKhIWF4caNG7h06RJOnDiBV69e5Thv0lznzp2xdu1awZMHHz58iFatWuGrr75CmzZt1C5AJSQkICgoCP/88w/279+P9PT0THFfX1+UKFECf//9tyQ5K5VKjBo1SvCzgbW1NebPn69TscsPJ8Z17NhR7Xv1hxv6tm/fzsKEREREREQE4P2NigcPHsxUnOTx48fo2LEjWrVqhS5duqB69epZinilpqbiypUr2LZtGw4cOCB685RMJsOcOXNyXIT7U//884/adktLS7Rv317SsQxt7dq1Wn0PVSqViI+PR3x8PMLDw7PdCPQxCwsLzJo1K9ubNjXh7OyM9evXY8CAAbh27ZrotUFBQQgKCoKXlxeaNWuGmjVrokqVKvD09BR8Tnp6Ol6+fIlr167h4sWLOH78uFaFoCjn+vbtix07dgiednz+/Hk0b94cX3/9NVq2bImiRYtmuSY2NhZnz57F33//jX///TdLvGHDhkhMTJSsAENiYiKGDx8umLOzszPmz5+f5X1OE/ny5cO8efPw1VdfqS36//r1a4wZMwa///57jorfkfbMdR2G8o7q1atjyJAh+PXXXwWvuXjxIlq1aoWAgAAEBASgcuXKkMlkma5RKBS4fPky/vrrLxw+fDjbG9p//vln+Pj46Jx3bGwstm/fju3bt8PFxQUNGjRApUqVUKFCBZQvXx4ODg6Cz42MjMS5c+dw6NAhnDhxQnRTT+PGjeHn58fcDJAbGd7AgQMxYsQIwfjatWtx/PhxBAYG4vPPP1e7+SQkJASnTp3C9u3b1RbiHTZsGObOnStp3gBQpEgRLFmyBN9++63gJq7U1FSsXbsWGzduRPPmzVG/fn3UrFkThQsXFuxXoVDg0aNHuHv3Lu7evYtz586pXds3JS9evMDKlSuxcuVKFC5cGPXq1cv4uS5durTgZ0ulUong4GCcOnUKu3fvzrYw9uDBgyGXy/XxRyAiIiIDsbKywtKlS9G5c2e19/5+sG/fPhw6dAhNmzZFy5YtUaNGDcGNyElJSbh37x5u3bqFkydP4vz581nud8qp9PR0tXN3AFCvXj3ReVxz8PXXX2t1vUKhQHx8POLi4vDq1SutDrD18fHB4sWLRYt0a6pBgwZYsWIFBg0aJLoOkJiYiPXr12PDhg2oVq0aGjdujGrVqqF8+fKiny8TEhLw6NEjXLp0CefPn8f58+dzdNgpacfGxgZff/015s2bpzauUqkwa9Ys7N+/H9988w0aNGigdi7y0aNHOHXqFLZu3Yrnz59nif/www+CY+ji3LlzWLlypWC8adOm6NWrl059t2zZEkFBQdi6dava+I4dO1CnTh20a9dOp/5Jd7NmzUJAQIDg77bk5GRMnToVW7ZswVdffYXGjRujQIECWa579eoVDh8+jD/++CPbgoK+vr4YPXq0JPkTmYt8+fJhxYoV6NWrl+B+DJVKhR07dmDXrl34/PPP8dlnn6FWrVooWbKkYL/p6el48uRJxnzcxYsXtTrALTucEzcMZ2dn/PHHHwgMDMTVq1dFr7127RquXbsGJycnfP7556hduzYqVaqEEiVKqN2H9bG4uDg8efIEjx8/xpkzZ3D69GnBPWWU2dmzZ7X+7pET7dq1k/R+KU1yVyqVSElJQUpKCmJiYvD69WuNDyBRp2fPnhg3bpxO92/kVlyPICIiIlPF4lxERCQpBwcHDB06FP/73/8Er1EoFNi2bRu2bdsGe3t7FClSBC4uLlAqlYiKisLr169FJ65cXFwwd+5cLF++XA9/gqyENr05ODjk6dOwtDV58mS8ePECFy9eFLwmPj4eq1evxurVq+Hk5ISiRYvC2dkZaWlpePPmDV68eKHRyQUWFhb43//+hxo1auQoZ0dHR/Tp0we//fab6HXJycl4+PBhtv21bt1aMGZpaYnRo0cjMDBQcEJdqVTi4MGDOHjwIKytrVGsWDG4uLjA0tISb968QVRUFN6+fSs4ho2NDX755RecO3cu21zzuhcvXuDFixcGGWvkyJEYMGCAZP3Z2Nhg0aJFmDNnDtavX5/t9TExMfjrr7/w119/ZTzf29sbLi4usLe3h4WFBZKSkhAXF4fQ0FCkpKRIlitpz8XFBZMnT8b3338veE1KSgpWrVqFVatWwdXVFZ6ennBxcUF8fDxiYmIQGRkp+F6aL18+LFq0CMuWLZMs5yVLluDChQuC8VGjRuXoZK9ixYph6tSpGDVqlNr4w4cPMX36dEybNk3nMYiIiIiIKPfIly8fpk2bhiFDhmSag1Eqldi/fz/2798POzs7FC1aFPnz54dKpUJsbCyCg4M1/k48ZsyYHM9LqXPkyBG17bVr1zb7jUEPHz7UaH4tp6ytrTF9+nTReTptOTs7Y82aNZgwYQIOHDiQ7fXh4eHYsGEDNmzYAACwt7eHj48PnJycYGdnB5VKhcTExIy5GClOciXdFSlSBMOGDcOsWbMEr4mLi8OCBQuwYMECeHh4wN3dHU5OTnj37h3evHmDyMhIwc1rhQsXxuzZszF06FDJcp46dSqePHkiGJ8+fToKFSqkc/9+fn74/vvvsWDBArXxM2fOYOXKlQgMDNR5DNKNOa7DUN4yaNAgPH36FPv37xe8RqFQYOvWrdi6dSvkcjmKFSsGZ2dnqFQqxMTE4Pnz5xp/Jhs0aJCkv/Pfvn2b8XkReL+25+LikvGfg4MDUlJSkJCQgNDQULx7906jft3d3XM8f83cyJS1bt0a+/btw/HjxwWvCQ4Oxrhx42BpaYlChQrB1dUVtra2iImJwZs3bzIVV/5UkyZN8M033+ilOBcA1K1bFwsXLsSIESNE339SU1MzvdZdXFyQL18+5MuXD3K5HAkJCYiLi8O7d+/w9u1bs97wHxISkvFeDbz/npUvXz64uLhkHGiWlJSEd+/eISQkROP37bp16+Krr77SZ+pERERkIJ6enli1ahX69esnethAamoqDhw4kDGv6u7ujoIFC0Iul0OpVCIuLg5xcXGIiIiQvBjXpy5evIiYmBi1sdxQBCe7IuxSKVGiBFavXg03NzfJ+qxbty42bNiAH374IdtCNiqVClevXs1UrKFAgQLw9PSEXC6Hra0tUlJSkJSUhMjISMEDMslw+vfvj4MHD6otxPzB7du3MWzYMFhbW8PHxweurq6wsrJCdHQ0oqKiEBsbK/jc3r17o1WrVpIV53r9+jVGjx4tOOfv4+OD6dOn52iMCRMm4Pr163jw4IHa+JQpU1C5cmUUK1YsR+OQdtzc3LB06VL07dtXdJ/Lw4cPMXHiRFhYWKBgwYIoWLAg7OzskJiYiNDQUNHClR/z8vLCkiVLRA8NJ8qtypYtm7HWKLY3RqlU4tixYzh27BiA9/u7XF1d4eLiAicnp4z9D+/evUNsbKzB1t05J65fH+7PmDx5Mvbu3Zvt9e/evcO+ffuwb98+AO/XON3c3ODh4QF7e3vY2tpCoVAgMTExYw5X1wPTihQpgo4dO+r03NwiMjJS4991Uqhataqk/RnqexMAlCpVChMnTkTdunUNNqY54noEERERmRIW5yIiIsl1794dt27dwo4dO7K9NikpSXDxSB07OzssX77cYAtKqampgjeJNm/enAseWrC1tcWKFSsQGBgoujHkg3fv3uH27dtajyOTyTBp0iR8+eWXuqSZxcCBA3Hy5EncuXNHkv7ENGzYEEOGDMHixYuzvTY1NRWPHj3SuG9LS0vMnTsXfn5+LM5lIlxdXTFjxgw0atRI8r6trKwwfvx4+Pn5YfLkyaI3H3xKoVBIdjJzgQIFMHLkSDg5OUnSH73XrFkztGnTRnQD0wfR0dEaLxDJ5XKsWrUKRYsWzWmKGc6fPy9a6KtRo0bo27dvjsdp27Ytzp8/j+3bt6uNb926FXXq1EGrVq1yPBYREREREZm/Jk2aYPjw4Zg/f77aeHJyslZzlh/7+uuvJfme86mbN2/i1atXamMdOnSQfLzcqFChQpg7dy6qVasmed9yuRwLFixAjRo18MsvvyApKUnj5yYlJeHx48eS5FG4cGGMHz9ekr7o//Xp0wdHjx7F5cuXs71Wm5tN3d3dsXbtWuTPnz+nKWbYvXs3du/eLRjv1asXmjVrluNxPszznz17Vm38119/RY0aNfL0yc3GYK7rMJR3WFhYYPbs2VCpVPj777+zvT4xMVF0Y6aYgQMH4ocfftDpuZpSKpWIiYkR3Lytifz582P16tVwd3eXMDPmRqZn6tSpuHHjRrZrVkqlUqtDlGrVqoX58+fDwsJCijQFNWnSBGvWrMH333+v8brb27dv8fbtWzx//lyvuZmC1NRUvH79OkeFDSpXrowlS5bA0tJSwsyIiIjImMqVK4eNGzdiwIABePnypUbPyelnipwQOsRXLpdLMp+WF7Ru3RpTp07Vy72ClSpVwq5duzB+/HgcPXpUq+dmV/BXG82aNUO/fv0k6Yves7KywsyZM9G1a1ckJyeLXpuamorg4GCN729t06YNxo8fL7i+pi2lUonRo0cjKipKbdzKygrz58+Hi4tLjsaxtbXFwoUL0alTJyQmJmaJJyYmYtiwYfjrr79gY2OTo7FIO5UrV8aqVaswcOBAxMXFiV6rUqnw6tUrnV5/Pj4+WLt2bY4OWiEyd9WqVcPmzZsxcOBAhISEaPSchIQEJCQkaHy9oXBOXHr29vb45ZdfULduXfz888+iRRM/pVKpJP/e4eDggH79+mHAgAGwtbWVrF/KnYoVK4Z+/fqhc+fOsLJieQdtcT2CiIiIjImfHoiISC+mTp2KJk2aSNqnu7s71q9fj+rVq0var5izZ88KLp506dLFYHnkFnK5HGvWrEH37t310n++fPmwYsUKSfu3tbXF77//jlq1aknWp5ghQ4agZ8+ekvbp4OCApUuXonnz5pL2S7qxs7NDnz59cOjQIb0U5vpY8+bNcejQIXTp0sWgE4dOTk4YNGgQDh8+jE6dOun9hvi8aObMmfjss88k68/T0xMbN25E5cqVJevzzZs3GDVqlOApcV5eXpg5c6Zk402cOBGlS5cWjE+aNEnjzRxERERERJT7BQYGYvjw4ZL1Z2lpiREjRmDMmDGS9fmxgwcPqm13cXHhxqBsODk5YejQodi/f79eCnN9rGfPnjhw4IDB/03c3d0xduxY/P3332jcuLFBx84LLC0t8dtvv6FChQqS9VmqVCls2bIFhQsXlqzPJ0+eYOrUqYLx8uXL48cff5RkLAsLC8yZM0fwBvC0tDSMHDlSq0MDSBrmuA5DeYuVlRXmzZuHoUOHQiaTSd6/vb09Zs+eLennPH0pX748tm3bhrJlyxo7lSyYG0nN09MTq1evRr58+STrs3nz5li5cqXBNjvVqFED+/btw+eff26Q8YD3n0Otra0NNp6xtGnTBhs2bICjo6OxUyEiIiKJlSxZErt27ULTpk2NnYqo9PR0HDlyRG2sbdu2sLe3N3BG5qVcuXL4/fffMX/+fL0e4uni4oKlS5fit99+k3ReVRM1a9bEhg0bsHjxYnh7ext07LygXLlyWLJkiaQ/az179sScOXMkvW922bJlCAoKEowPGzYMVatWlWSsEiVKYPLkyYLxe/fuSXrvJWnOz88Pf/31F0qVKqWX/mvVqoXt27dLesgukbkqVaoUdu/ejY4dOxp0XFMrfCjFnHh2BQXNtRhgx44d8c8//6Bz585GKbLj5OSEb7/9Fv/++y++//57FuYiQXZ2dmjWrBmWLl2KgwcPolu3bizMZSRcjyAiIqKcYHEuIiLSC2trayxZsgQjR46U5MbqJk2aYMeOHZItWmlq27ZtaturVKmi941cuZW1tTX+97//Yc2aNShWrJgkfVpYWKBNmzY4cOAAGjRoIEmfH3N1dcWGDRswe/ZslClTRvL+PzV58mTMnj1bkoXmmjVrYtu2bdyUZwIqVKiA0aNH48SJExg/fnyOT8fSVP78+fHTTz9h//79+PLLL/W6YFSsWDGMGTMGx44dww8//KDXm23yOhsbGyxfvhz9+/fP8WLSF198ge3bt0u6wVSlUmHMmDGCJ1LIZDLMmzcP+fPnl2xMe3t7LFiwQPC9Mz4+HsOGDYNCoZBsTCIiIiIiMm8DBw7E0qVLc3y6qLe3N9asWYPAwECJMsssNTUVe/bsURvr0qUL5HK5XsY1Z5aWlqhRowamTJmCkydPYvDgwQbbQOXt7Y3Fixdj27ZtaNGihV4Kj3zg6+uLadOm4ejRo+jXrx9v9tQjFxcXbNq0CR06dMhRPxYWFujcuTO2bt0q6QaylJQUDB8+HImJiWrjDg4OWLBggaRzg25ubvjll18E56bCwsIwduxYycYjzZnjOgzlLRYWFhg8eDC2bt0q6by0v78/9u3bl6P3ajs7O/Tq1UuvG1Hy5cuHyZMnY/v27Vr9LmBuuuVGpqN8+fLYvn17jg+Ksbe3x9ixY7Fo0SKDF0lwc3PDihUrsHz5cr3eN1CiRAmMHDkSJ06c0Ntm3+yULl0abdq0kbSg2qdKlSqFdevWYd68eSx4QURElIs5OztjyZIlWLp0qWTzFB+rVKlSjg/IPH78uNp7nCwsLNCnT58c9Z1bOTs7o3379li3bh327Nlj0PmiL774AgcOHMD06dNFD3LMKWtra7Rq1QqbNm3Cxo0bUbt2bb2NRUCDBg2wadOmHL9P5MuXD3PmzMHkyZMlXZ+5dOkSli5dKhj/7LPP8M0330g2HgAEBASIznNt3rwZhw8flnRM0kzx4sWxa9cuDBo0CHZ2dpL06eLigsmTJ2PDhg1wdXWVpE+i3MDR0REzZ87Eli1bUL16db2N4+3tjYEDB+Lw4cMaHZ5tbnPily5dEozVrFkTtWrVylH/xuTm5obp06dj//796Natm0HmGStXroxp06bh1KlTGDVqlKT7ISh3sLCwQJkyZdC9e3csXLgQ586dw+LFi9GkSROjFJIzdVyPICIiInPB8qpERKQ3FhYWGDBgAJo0aYJVq1Zh3759SE1N1fj5lpaW+Oyzz9C3b1/UrVs3S9zBwUHwi7cUC2qRkZE4ceKE2ljfvn1z3H9eV79+fRw4cAAHDhzA5s2bce3aNahUKq36cHR0RPPmzdGvXz+9LrID71/PHTp0QIcOHfDkyRMEBQXhzp07CA4ORkREBGJjY5GSkoK0tDRJxuvQoQPq1KmDNWvWYNu2bYKbqoTUqFEDffr0QbNmzbLE7OzsBH92WH1fd1ZWVrCxsYGjoyPc3Nzg7e2NEiVKoEKFCqhRowbc3NyMml/JkiXx888/Y8SIEThy5AgOHTqES5cuafW+rE6xYsXw+eefo3nz5qhWrRosLCwkypiyI5PJ8OOPP6J169ZYsmQJTpw4odX7qJ+fHwIDA9GwYUPJc1u5ciXOnDkjGB86dChq1Kgh+bilS5fGhAkTMHHiRLXxO3fuYM6cOYJxIiIiIiLKe5o0aYKaNWti3bp12Lx5M2JjYzV+rpeXF3r27ImvvvpKshuv1Tl69CjevHmTpd3Kygq9evXS27imztraGtbW1nBxcUGBAgVQqFAhlCxZEhUrVoSfn5/BCqMLqVy5MhYtWoTw8HAcOnQIhw4dwo0bN6BUKnXu88MNfI0bN0aLFi1Qrlw5CTOm7Njb22P27Nno0KEDli5dKnoT86csLCzQsGFDDBw4UC8Hf0yfPh0PHjwQjE+dOlUvmx/r1q2LwMBALFu2TG38+PHjWLduHddUjMTc1mEo76lUqRJ27tyJEydO4I8//kBQUBDS09O16sPW1haNGjVC3759JXl/tbGxwaRJkzBp0iQ8fvwYJ0+exKVLl3D9+nXExMTkqO9q1aqhXbt2aNOmDZydnZmbgXIj01K4cGFs3boV27dvx6pVq/DixQuNn2tra4uAgAAMGDAAPj4+eswye40aNUKjRo0QFBSEbdu24eTJk4iPj9e5PxsbG1SrVg316tVDgwYNJC1cqKuiRYti3rx5SE9Px7Vr13Dq1ClcuXIFt2/fRnJyss792tjYoGHDhmjXrh0aN27M+xOIiIjykCZNmqBx48Y4cuQI/vrrL5w/f17ney2LFSuGBg0aoGPHjihfvnyOc/vrr7/Utvv7+6NkyZI57t8cWVhYwNraGvb29sifPz88PDxQtGhRlCpVCtWrV0f58uWN+lnOxsYGnTt3RufOnXH58mUcOnQIR48eRVhYWI76lcvlqFGjBpo1a4YvvviCBXIMrEKFCti3bx82bNiAdevWCR4Mqo6TkxO6deuG/v37S/7vFh0djZEjRwrOW3l4eGD27Nl6uXd2ypQpuHnzJp4+fao2PmHCBJQvX56FzI3AxsYGP/zwA3r16oUNGzZg9+7dCA8P17qf4sWLo3PnzujWrRscHR31kClR7lC9enVs2bIFN2/exNatW3Hs2DFER0fr3J+VlRUqVaqEOnXqwN/fH35+flq9j5vTnLhSqRRd1x42bFiOxzAFJUuWxNSpUzFy5Ej8+++/OHLkCM6dO4ekpKQc9+3k5IRq1aqhfv36aNasGby9vSXImMzRhz1j1tbWsLW1Rb58+VCgQAEUKFAABQsWRPHixVGiRAmUKlUKTk5Oxk7XbHA9goiIiMyFhUrbuy+JiIh09ObNG5w7dw4XL17EnTt3EBsbi5iYGKSkpMDe3h6Ojo4oXLgwSpQogerVq8Pf39+oxWyWLVuGhQsXZmn39vbGkSNHcu2X8nXr1uHdu3dqY7Vq1dLb6U9hYWE4d+4crl27hqdPnyI0NBRxcXFISUmBpaUl5HI5ChQogCJFiqBcuXLw8/ND7dq1YWtrq5d8TElcXBzOnz+Pixcv4ubNm3jz5g3evn2LxMRE2NrawtHRET4+PihevDiqVq0Kf39/o9+QTOYhOTkZt2/fxvXr1zN+7sLCwhAXF4fk5GSkpKRAJpPBxsYGLi4ucHd3h5eXF0qVKoUyZcqgevXq8PDwMPYfQ2uPHz8WvEG+atWqhk1GQhERETh69CiuXr2Kx48fIzw8HAkJCVCpVHBwcECBAgVQunRpVKlSBY0bN0bx4sWNnTIREREREZFJUSgUuHDhAs6ePYsHDx4gODgYcXFxSEpKgo2NDZydnVG0aFFUrFgR/v7+qFOnjqSnbgvp168fzp07l6W9TZs2mDdvnt7HJ+nEx8fj5s2buHHjBoKDgzPmYuLj45GcnAyFQgGZTAY7Ozs4OzvDw8MDPj4+KFmyJMqVK4fq1avr9aRIfbl79y4UCkWWdhsbG0k2zxlLcHAwjh07hmvXruHZs2eIiIhAYmIiLCws4ODgAA8PD5QuXRp+fn5o3LgxChYsaOyU87wXL14I3qhfvnx52NjYGDgjw+I6DKkTHx+Px48fq415eXnBy8vLYLm8efMGQUFBGXPcL1++zDgcB3hfJNHV1RWFChVC2bJl4efnhzp16hhs09qzZ89w69YtBAcH48WLFwgJCUFUVBQSExORmJiI1NRUyOVyODk5wdHREQULFkS5cuVQrlw5VK1aVa+bNZgbacsUfvZVKhWuXbuG06dP4+bNm3j+/DnevHmD5ORkWFtbw8nJCT4+Pihbtizq1KmDhg0bmuwmVYVCgWvXruHmzZu4d+9eps/5KSkpGZ8PP/zn5eWFEiVKoESJEhkFhvVZ8FlKaWlpuHfvHu7evYvnz58jJCQEISEhGfcvJCQkAHh/2J6joyOcnZ1RpEgR+Pr6wtfXF9WqVWOhPSIiIgIAxMbG4sKFC7h+/ToePXqE0NBQREdHIzExEenp6bC3t4eDgwOcnJwy7isuVaoUatasKWkRmrCwMDRu3FjtoQpr1qxB/fr1JRuL9C8kJAQ3btzAnTt38PLlS4SGhuL169dISkpCcnIy0tPTYWNjAzs7O7i5ucHDwwNFihRBmTJlUKFCBVSoUAHW1tbG/mNoxRS+3+lDeno6zp8/j7Nnz+L27dt4+fIloqOjkZKSknHfdNGiRVG2bFnUr18f9evXN5vvVbnZ9evX1bY7OjqiVKlShk3GwFQqFa5fv45Lly7h9u3bePHiBcLDwzPmv2xtbTPmBIoVK4bKlSujdu3aPIgnD8jra1P6kp6ejlu3buH69eu4e/cuQkJCEB4enrHu9eHe+Q//eXh4ZBTNKVGiBCpVqqS3uUZTmxO/ffs2OnXqpDZWv359rFmzRtLxTElqaioePHiAmzdv4tGjR3j16hVevXqFmJgYJCUlISUlJePzoa2tLZydneHu7g53d/eMwrRly5ZFmTJlYGlpaew/DlGew/UIIiIiMjUszkVERKSGUqlE06ZN8fLlyyyxcePG8ZR3IiIiIiIiIiIi0rsXL16gWbNm+HQ5z8LCAjt37jTrwkZERERERERERERERMa0aNEi/Pbbb1nafX19sXv3bsMnREREREQkodWrV2POnDlqY3/99ReqVKli4IyIiIiIiIjME0v2EhERqXHo0CG1hbk8PT3RvXt3I2REREREREREREREec3q1auzFOYCgGbNmrEwFxERERERERERERGRjpKSkrB582a1sR9++MHA2RARERERSe/8+fNq2xs1asTCXERERERERFpgcS4iIiI1Vq5cqbZ90KBBsLW1NXA2RERERERERERElNdERUVh165dWdotLS0xdOhQI2RERERERERERERERJQ7bN26FbGxsVnaq1WrhkaNGhk+ISIiIiIiCaWlpeHKlStZ2i0sLFiMloiIiIiISEsszkVERPSJU6dO4d69e1naixQpgs6dOxshIyIiIiIiIiIiIspr1q1bh5SUlCzt7dq1Q6lSpYyQERERERERERERERGR+UtNTcW6devUxoYNG2bQXIiIiIiI9OHWrVtISEjI0t6sWTP4+voaISMiIiIiIiLzxeJcREREn1i1apXa9qFDh8LKysrA2RAREREREREREVFe8+7dO2zZsiVLu7W1NYYMGWKEjIiIiIiIiIiIiIiIcod9+/YhLCwsS3v9+vVRp04dI2RERERERCSt8+fPZ2mztLTE0KFDjZANERERERGReWNxLiIioo+cOXMGFy9ezNJerVo1tGnTxggZERERERERERERUV6zatUqxMfHZ2nv378/ChcubISMiIiIiIiIiIiIiIjMn0KhwJIlS7K0W1lZYdy4cUbIiIiIiIhIehcuXMjS1rp1a5QqVcoI2RAREREREZk3FuciIiL6j0qlwty5c7O0y2QyTJkyBRYWFkbIioiIiIiIiIiIiPKSiIgIrF+/Pkt7wYIFMXDgQCNkRERERERERERERESUO2zevBmhoaFZ2nv37o3SpUsbISMiIiIiImkpFApcu3YtU5uVlRWGDBlipIyIiIiIiIjMG4tzERER/Wfv3r24d+9elvZu3brB19fXCBkRERERERERERFRXvPrr78iOTk5S/vYsWMhl8uNkBERERERERERERERkfl79+4dli1blqXd3d2dhQqIiIiIKNe4fv16lvtO2rdvj2LFihknISIiIiIiIjNnZewEiIiITIFCocCiRYuytOfPnx8//PCDETIiIiIiIiIiIiKivObJkyfYtWtXlva6deuiRYsWRsiIiIiIiIiIiIiIiCh3WLlyJWJjY7O0jx49Go6OjoZPiIiIiIhID2rVqoUHDx4YOw0iIiIiIqJcw0KlUqmMnQQRERERERERERERERERERERERERERERERERERERERERERERERGRKbA0dgJEREREREREREREREREREREREREREREREREREREREREREREREREpoLFuYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIj+w+JcRERERERERERERERERERERERERERERERERERERERERERERERERP9hcS4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKi/7A4FxEREREREREREREREREREREREREREREREREREREREREREREREdF/WJyLiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiI6D8szkVERERERERERERERERERERERERERERERERERERERERERERERET0HxbnIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIvoPi3MRERERERERERERERERERERERERERERERERERERERERERERERER/YfFuYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIj+w+JcRERERERERERERERERERERERERERERERERERERERERERERERERP+xMuRg6enpiIqKMuSQRERERERERERElAe4ublBJpMZOw0i0gHXDoiIiIiIiIiIiEhqXDcgMk1cEyAiIiIiIiIiIiKpcU2AiIj0yaDFuaKiovDZZ58ZckgiIiIiIiIiIiLKA06dOgVPT09jp0FEOuDaAREREREREREREUmN6wZEpolrAkRERERERERERCQ1rgkQEZE+WRo7ASIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJTweJcRERERERERERERERERERERERERERERERERERERERERERERERERP9hcS4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKi/7A4FxEREREREREREREREREREREREREREREREREREREREREREREREdF/rIydAABs374dHh4eBhsvISXVYGMRmbO45DRjp2BSXscmGTsFAMC7xKzvYXu2rsPm3xdnPHZ0dsGqbUdgaSnTWx63L4TorW9tuJd1M3YKAIBS3s7GTsGkONpbGzsFAIC9rUl81DEZSSl8X/8YXx9E4lJSUvDPgX0Ie/UqU7uFpQU+b9QEpcv5Gjwnvo+RKUlOTsb2LRugSFFktBUuWgztOnQwXlIfcbbj7zkyfQ62un1viIyMROfOnSXOhohMkSHXDrhuQES6inibbOwUAADxSZnfx1JTFejZtjHi38VltH0zZCQ6du+j1zwuXwnVa/+aKutruLVnMSW4dpAJv6uaJl2/mxFR3vTw4UMcOHAA6enpmdq9vLzQsWNH2NvbGykzItNw/vx5nD17NlNb9+7d4e3tbaSMiPIGrhsQ5Q6G3k9ARJSbpKWloXr16oiOjs5oGzt2LIYMGaLXcU1ljdVU9r1wDjwz/ruYJlP5d6HM+DolU/XkyWMcPngQiZ/8zndz90DLNu1hL+eaAOVt169cwcXzn6wJdOsCH59CRsrI9PB+BNIHrgkQEZExmMQ3dw8PD3h6ehpsvHgTmQAmMnW2SZx0/Vi6VYKxUwAAWCVkfQ9r1q4LNixfkPE4NvoN0tLS4FnQS295ODjG661vbTjnN43iXK5uLsZOwaQ4yW2MnQIAwMGOEzgfS0jmZ6CP8fVBJCw1NRVbN21ATEwM7D7aSGNlZYW2HTqhRKnSRsmL72Nkauo1aITzZ09lPH4dGYFURSq8Cxl/Qc3F3iSmfIhEOXLBlYiyYci1A64bEJGu0mxM42APm0RFlrYGXzTHvu1bMh6/CH4GVzd3vebh6Gwafx/5C+j3z6kpd498xk7BpPC7qmnidzMi0tTdu3dx7Ngx2NraZmovWbIkunbtChsb01gjJjKmli1b4uHDh0hI+P97jG7evIlq1aoZMSsiIiLzYOj9BEREuU2HDh2wcuXKjMePHz/W+/uqqayxmsq+F86BZ8Z/F9NkKv8ulBlfp2SKHjy4jxPHjsHGxgZKy/9/jRYpWgztOn6ZZa2AKC9q+EUTPHn8EAkJ/7/P9vat26harTosLCyMmJnp4P0IRERElFtYGjsBIiLKOVtbuyxtKcnJRsiEiIiIcoNTx44iIjwsU5utrR06d+1ptMJcRKaoil9N2MvlmdrOnj5hlFyIiIiIiIg+df/2zUyPU1JMo3AWERERmZ/Y2Fjs2bMHKpUqU3uFChXQvXt3FuYi+o+NjQ38/f0ztT179gzPnj0zUkZERERERJRXXL16NdPjpCSuCRAREZFu3r59i/1792ZZEyhdphwCvuzGwlxE/7GxsUGtuvUytYW8eI6nT58YKSMiIiIi0hcW5yIiMnMhwU/wQ98ANRGVmjYiIiIicc+Dn+H6tSuZ2hwcHNG1Z294FypkpKyITJONjQ1q1M68oPbieTCeB3OTDRERERERGY9KpcKqxXPx6P6dLO1EREREuti9ezdSUlIytdWoUQOdOnWCTCYzUlZEpqlmzZpwdnbO1Pbvv//y8zgREREREemFSqXC9OnTcfny5SztRERERLr4e99epCQnZ2qrXKUa2nToyDUBok9Urlodzs4umdpOHj/Bz+NEREREuYyVsRMgIiLd3bh8HpOH9ce7uNhM7R5e3vAuVMwoOREREZF5u3XjeqbHlpaWqFCpMv45+DdeR0bA3cMTZcr6ooyvL1xc8hklRyJTUrFKNVy7dAHx8e8y2s6eOoEiRYvBwsLCiJkREREREVFepEhJwc/jR+DA7r+yxGrU8TdCRkRERGTuYmJiEBwcnKnNx8cHlpaW+OWXX2BhYYHSpUujQoUKKFmyJDfmUJ5nZWWFhg0bYt++fRltL1++xKNHj1CmTBkjZkZERERERLmNQqFAYGAg1q1blyXWuHFjwydEREREZi82NhbBzzIfUuzpVRAyKyssX7wQKpUKJUqVQpmyvihavASsrLhFnfI2Kysr1PVvgMMH9me0hYe9woMH91GunK8RMyMiIiIiKfGbDxGRmfpn33bMnTISaWmpmdrdPQtixpI/YGVtbaTMiIiIyJzFv4vL9FipVOLi+XMZj8PDXiE87BVOnfgXXgW9UaasL4qXLIl8+V25uEZ5kpWVFWrWrY/jRw5ltIW9CsXTx49QsjQ32RARERERkeG8jY3B6EF9cfXCuSyxLr2/Ruee/YyQFREREZm7t2/fZmkLDQ1FaGhoxuMbN27gxo0bsLOzQ9myZVGhQgV4e3vDwcGBhxhQnlS1alWcPXsW0dHRGW3Hjh1D6dKl+TNBRERERESSiImJQadOnXD8+PEsse+++w5DhgwxQlZERERk7t7FxWVpiwgPQ0R4WMbju7dv4e7tW7C1sUWJ0qVRtlx5eBX0hpxrApRHla9YGRfPByEm+k1G2+mTJ1GmTFlYWloaMTMiIiIikgp3ThMRmRmVSoX1y+Zhw/L5WWKlfSth+uL1cPPwMkJmRERElBtYWWle4PPjQl0WFhZwcnJGmXK+8G/YCDKZTI9ZEpkW34qVcfXSBbyNjcloO3vqBEqU4iYbIiIiIiIyjJfPn2Ho193x4tmTTO2WlpYYMeEndOs7wEiZERERkbmz1uJgsOTk5IxCXQBgY2MDT09PNG3aFEWKFNFXikQmRyaT4fPPP8fOnTsz2sLDw3H37l1UqFDBiJkREREREVFu8PTpU7Ru3Rr379/P1G5hYYF58+Zh2LBhvGeJiIiIdKLNmkCKIgX37tzGvTu3AQA21jZw8/BAg4aNUYhrApSHWFpaop7/Z/h7766MtteRkbh75zYqVqpsxMyIiIiISCosuUpEZGbW/zZXbWGuep83w8K1u1iYi4iIiHLEykq3Gs4qlQpxcW9x+eJ5HD6wDyqVSuLMiEyXTCZDrXr+mdpev45EeNgrI2VERERERER5yevICHzbvV2Wwlz2cjnmLt/AwlxERESUI7quGwCAQqFASEgINm7ciNDQUAmzIjJ9FStWhLu7e6a2q1evGikbIiIiIiLKLSIjI9GwYcMshbnkcjl27tyJ4cOHszAXERER6cxKi+Jcn1KkKvAq9CV2/rUFr16+lDArItNX1rc83N09MrXduH7dOMkQERERkeRYnIuIyIycPXEUG1YsyNLeqde3mLpgNezlciNkRURERLmJs4uL2vaixYqjWcvWqFS5Kuzs7EX7uHfnNq5euqiP9IhMVply5eHski9T2ytuNiMiIiIiIj1LS0vDiIH98ToiPFO7u6cXVv25D5990dxImREREVFu4eTkBEvLrLeY2dvbw9/fHy1atECRIkVE+1AoFNiyZQtSUlL0lSaRybG0tESDBg0ytb18+RJKpdJIGRERERERkblLT09Hjx498PKTYhdeXl44efIkOnToYJzEiIiIKNdwdHSETCbL0m5nZ4+atevi8y+awadQYdFioKlpqdizcxuSk5P1mSqRSbGwsECtuvUztb0KDeWaABEREVEuofvRhkREZBCx0W+QnJwEaxsbTB45KFPM0tISg3+choDu/Y2UHREREeU2latWw4N7d5GYmABrK2uUr1gJVf1qwO2/UzwqVamGL5q3RMiL53h47y6ePX2C+Ph3Wfq5evkiqtesxVP4KM+wtLSET+EieHz/dkZbWOhLoGYtI2ZFRERERES5UWpqKsLDQpE/vyvWr1qOi0FnMsXL+FbAglWb4VnQ20gZEhERUW4il8tRs2ZNXLhwAcD7Db+1atVCpUqVYG1tDQCoU6cO4uLicPfuXdy9exehoaFIT0/P1E98fDxu3bqFGjVqGPzPQGQsxYsXz/Q4JSUFr1+/hqenp5EyIiIiIiIic5OamoqXL1/C1dUVy5Ytw7///pspXrFiRfz999/ZFs4mIiIi0oSdnR1q1KyFC+eDAAAenp4oW6kafCv8/5qAX81aeBcXh0cP7+PRg/sIe5V1TSAxMQH37txCNb+aBv8zEBlLkaLFMj1OTU1FZEQEvAoWNE5CRERERCQZFuciIjJRKpUKyxfMwtplCwUrZAeOnMzCXERERCQpN3cP9P12IOLexsIlX37Y2dlluUYmk6FY8RIoVrwEgPcbCa5fuYwzp45nXBMX9xYvQ16gcJGiBsudyNi8CnpnLs71KtSI2RARERERUW707MljDOrbHU8fP1Qb9yzog9827EA+1wIGzoyIiIhys5YtW8LPzw8ymQyurq5qD+ZwdnZGnTp1UKdOHSiVSsTGxmL9+vV4+/ZtxjU3b95kcS7KU5ycnJAvXz7ExsZmtL18+ZLFuYiIiIiISCOPHz9G+/btcffuXbVxHx8fHDt2DO7u7gbOjIiIiHKzL5o2ReUqVWD535pAXHJ6lmucnJ1RvUYtVK9RC0qlEnFxb7F9yya8fRubcc29O7dZnIvyFLmDA/K7uiImOjqjLTQ0lMW5iIiIiHIBFuciItKQk9zGoOPNnT4Fq5cuFIyXqVQD9Vr1xKvoRMMl9RGviqZxo6CTvbWxUzApcQmpxk4BAODl6mDsFAAACcmm8fdBRGRu7O3tYW9vr/H1tra2qFW3Hu7fvY2oqNcZ7Xdv35S0OJeDnWn83ufvF9NkCq+PkiWK4fiR/y+s+yY6BhFR0XB0dDJiVkRZudibxpRgfIpu76cJOj6PiEiMo63xP0uYEl3fo4kM6W1SmrFTAGDY7yLPg5+hb5e2CH/1SvCaIRPnIkFpj4Qo46wdVKxsGjcUOjvwfZ1IU6bye5+fx4hMn4eHh8bXWlpawtXVFS1btsSff/6Z0f7ixQvExMQgf/78+kiRyCQVKlQoS3EuPz8/4yVERERERERm4fnz5/jiiy/w4sULwWuWLF8Be+d8JjPHR6bBVNbQTOX+JFNhKv8uRESactdyTSBfvvxo3LQ5dm3fmtEe9ioUMdFvkJ+Hi1Eeks/dC2GRURmPHz4NRqkKVQ2eh6l8FuN3FdPE+zOIiIi0Z2nsBIiIKKujB/dj1ZKFotc0aN5B7Wm0RERERMZgYWEB3wqVMrXdvnkDZ04eR3JyspGyIjKsAm7usLHJXNQ3PDTUSNkQEREREVFuolKpMKh/b9HCXC753VDJr64BsyIiIiISV7p06SyHgSxatAhPnz41UkZEhle4cOFMj0NCQoyUCRERERERmQuVSoXu3buLFubK7+qKL5o0NWBWREREROKKFi8BudwhU9ualcsQ/IxrApR3ePsUyvQ4TOQ+HyIiIiIyHyzORURkYlQqFX5b+IvoNY7O+VGrYUsDZURERESkmXLlK2QpHnoh6Cw2rF6JZ0+fGCkrIsOxsLCAZ0GfTG3hYSzORUREREREOXfy2FHcuHZV9JqWnXrxUA8iIiIyKTKZDBUrVszSvmHDBuzevZuHe1CeUKhQ5o04UVFRSEpKMlI2RERERERkDo4fP46goCDRa775dgDXBIiIiMikyGQylPUtn6V9x9bNOLBvN+dFKU8o6J15L0FsTDQSExKMlA0RERERScXK2AkQEeVWqampsLKyQkL8O0wbPxqfN2mGzxo3haOTs+jzLgWdxZ2b1zO1BX4/Av6ff4Enjx7g6atY+Pk3hYOTix6zJyIiItKes4sLihYrgeBnmQtxvXsXh51/bUGVqtXR8IumsLa2NlKGRPrn5e2NkOfPMh5HRUYaMRsiIiIiIjI1qampsLa2xuYNaxEe9gpNW7RCpSrVsn3eiiWLMj129/DAinWbERUViZcvXiDVxhW1P2umr7SJiIiIdFatWjVcunQpS/v169fx9OlTBAQEoHjx4kbIjMgwvLy8IJPJkJ6entEWERGBYsWKGS8pIiIiIiIyiA9rAmvWrMGLFy/Qtm1bVK9ePduiWnPnzs302M3NDTt37kRUVBSePXsGT59CaNe+gx4zJyIiItJNhUqVce1K1jWBe3duI+T5c7Ro0w5Fi3FNgHIvdw9PWFtZIzUtNaPt9etIFHXg656IiIjInLE4FxGRHiiVSoz5fgCcnF1Qu54/9mz/E3u2/wlnFxes3Lgd1WrUEnzumuWLMz0uVKQofvhxImQyGWrV88elB6/1nT4RERGRzr5o3gIH9+3Bq9CXWWI3rl/F69eR6NCpC+zlciNkR6R/ihRFpsdWLEZHRERERET/uXXjGgb27YXFq9Zi/e8rcOfWTcyfNR1tAzph6e/rYWlpqfZ5d2/dxOkTxzK1jZ4wBbXq1st4fOUh1w6IiIjINHl7e6NFixY4duwYFIrM86dxcXH4448/0LZtW1Srln3BUiJzlJaWBqVSmamNB9kQEREREeV+N2/eREBAAP744w8sW7YMly9fxtSpU9GxY0f89ddfkMlkap93584dHDx4MFPbtGnT0KBBg4zH8Smpnz6NiIiIyCR4ehVE46bNcfbkCaQoUjLF4uPfYedfW/BFsxaoXLW6kTIk0q/09HSkK9MztVlbcU2AiIiIyNypv8ObiIhy5NdfZuDAnp3Y+sdajPju64z2uLdvMfaHgVCkpKh93rZN63H8yKFMbf0ChwguvhERERGZmnz58qN7777o2ac/ihYrkSX+KvQltmxcj9jYGCNkR6R/kRFhmR57eHoZKRMiIiIiIjIlYa9C0bd7ZzwPfoZ2TT/HnVs3M2L7du3Alj/WqX1e3Nu3GD54QKY2N3cPdOzSXZ/pEhEREUmqTp06GDVqFFq1agVbW9tMMaVSiT179uDkyZNQqVRGypBIf8LCwjK9ti0tLeHp6WnEjIiIiIiISN/Cw8PRpk0bPH36FPXr18fly5czYjt37sTKlSvVPi8uLg5fffVVprYCBQqgT58+es2XiIiISErV/GpiwJAf8EWzFrC1tcsUUyqVOHLoAM6e5poA5U6R4eGZDuywsLCAm4eHETMiIiIiIimwOBcRkcSCnz7B8kVzReOb1q7K0n704H5MHjMsU5tLvnzo2K2n1CkSERER6Z1XQW906todTZq3zHLSR0z0G/z5x3qEh70yUnZE+qFUKvE6IjxTm4dXQSNlQ0REREREpmTujGmICAsTjM+cOhlJiYmZ2pKTk9G/Z5dMhbwAoN+AgbCzy3wDKxEREZGps7GxQa1atTBo0CCUKJH1cI/jx49j3759mTYsEOUGr15lXg/z9PSElZWVkbIhIiIiIiJDmDJlCkJCQgTj48ePR3x8fKa2lJQUBAQE4OrVq5naBw8eDLlcrpc8iYiIiPTFxsYGVavXQJ+vB6g98Pv82dM4fGAf0tPTjZAdkf6Eh2e+N6hAATfY2NgYKRsiIiIikgqLcxERSSwsNCTbyu3/Hj6Q6XHQmZMY/l3/LDeZjpowFXK5g+Q5EhERERmChYUFqlTzQ48+/eDk5JwplpAQj22bN+Lpk8dGyo5IetFvopCWlpapzcPLy0jZEBERERGRKXnx/LloPDYmGpcuBGU8TklJwZBv++L82dOZritavAT6DxiklxyJiIiIDMHFxQW9e/dG/fr1s8SuXr2KLVu2QKFQGCEzIv34tDiXt7e3kTIhIiIiIiJDefr0qWg8NjYWp06dynisUCjQu3dvHDt2LNN1xYsXx/Dhw/WSIxEREZEhODk7o1PX7qhdN+uawJ1bN7Fr21akpKQYITMi/YgIz7wm4MU1ASIiIqJcgcW5iIgkVqFyVVh/Us26jG+FTI8jI95XwI6NicaUH4ejX5f2UHwykRT4/Qh06dVXr7kSERERGYKbuwe69+4Ld3ePTO2KVAX27PgL9+7cNlJmRNIKfZn5xEsnZxcW2yUiIiIiIgBAzdp1Mj328PREftcCmdoi/js988S/R/BFvRo4tH9vpri7hwc279wHJ+fMBbCJiIiIzI2FhQWaNm2KVq1awcLCIlPs0aNHWL9+PZKTk42UHZF0VCoVXrx4kanNx8fHSNkQEREREZGh+Pv7Z3rs4eEBD4/M9859KOR79OhRVK5cGdu2bcsUd3d3x+HDh5EvXz695kpERESkbxYWFvBv2AhfNGuRZU3gefBTbNv8B5KSkoyUHZF0VCoVXr18manN06ugkbIhIiIiIimxOBcRkcScXfLh8y+aZWp7eO9OpsdRr1/j7q0baPN5Hfy5YQ1UKlWmeOcevTF83GS950pERERkKE7OzujS8ysUKVosU7tSqcShv/ci+Jn4aYFE5uDOrZuZHnsW5GIaERERERG9F/Blt0yPIyMiEBP9JnNbeDgm/TgSvTq3R/DTJ5liTk7O2Lh9D4oWK673XImIiIgMpVatWujSpQusrKwytYeGhuLPP/9EWlqakTIjksazZ88QFxeXqY3FuYiIiIiIcr8ePXpkehwZGYnIyMhMbeHh4RgxYgSaNm2KBw8eZIo5Ojri4MGDKF26tN5zJSIiIjKUqtVroH3HL2FtZZ2pPSIiHHt3buOaAJm9lyEv8PZtbKa2gt5cEyAiIiLKDVici4goh9LT03Fg7078sXoFjh7cj/t3bqFlu46iz0mIf4fenVrjdWRElljTlm0wdfbCLJXgiYiIiMydnZ0dOnbpDt8KFTO1K5VK7Nu5HeFhr4yUGVHOvY6MQNir0ExtZX0rClxNRERERES53bOnT7Bu1XL8tfkPnDtzCvb2clSp7if6nG1/bsLalcuytNva2WHNlm2oUKmKvtIlIiIiMhpfX1/06dMH9vb2mdqDg4Oxa9euLIedEZmTK1euZHrs6ekJDw8PI2VDRERERET68uTJEyxduhRr167F8ePHYW1tjXr16ok+Z/PmzViwYEGWdltbW+zevRt+fuJrCkRERETmqGTpMujcvSfs7eWZ2l+GvMCBvbuhVCqNlBlRzt28fi3T4wIF3ODh6WWkbIiIiIhISlbZX0JEREIUKSn4rm93nDnxb5aYtY0NUhUKwefGv3uX6bGdnT2+GzYK3wweluVUWCIiIqLcQiaToWWb9rCzs8e1K5cy2hWpCuzathXdevdB/vyuRsyQSDfBT59memxpKUOxEiWNlA0RERERERnTqeP/ol+PL5GSnJyp3VImg6WlpeDNpI8fPsjSVq1GTcya/ysLcxEREVGuVrhwYXz99ddYt24d4uPjM9rv3LkDR0dHtGjRggeckdlRqVR4/PhxprYqVarwtUxERERElMscP34cbdq0QWJiYqZ2WTZrAvfu3cvSVrNmTSxfvhzVq1fXS65EREREpsDbpxC69+6DvzZvRHz8/++vfPTwPo4fOYzGzbgmQOYp+OmTTI/LV6zM1zIRERFRLsHqL0RE2Xh4/x7+3rsLh/7ej7DQl/AuVBhfNG+Nxs1aYMm8WWoLcwEQLcz1qVp1/TFr0TL4FC4iVdpEREREJsvCwgKNmjRDUlIS7t+9ndGemJiAHVu3oHuvPnBwdDRihkTaS09Pz/RYqUzHuVPHUaJUGXh5+8DS0tJImRERERERkdSSkpLw7+GDOHxgP4LOnoJKpULd+p+heas2cMmXD1/36pqlMBcAKD/53iDG2toa02bNRc++X/P7BBEREeUJbm5u6NmzJ9auXQvFR/dbXLhwAU5OTvD39zdidkS6+XTt4OTJk7Czs0Pp0qXh5ORkpKyIiIiIiEgbycnJ+Pvvv7Fnzx4cO3YMSqUSDRs2RIcOHeDu7o727dtnKcwFZP0+IMbKygoLFy7EwIEDIZPJpEyfiIiIyCTldy2Ajl26YevGDUhRpGS0X792BQ6OTqhTn2sCZH4+vS/o/NnTsJfbo3iJUnDkmgARERGRWWNxLiIiAW+iXmPaxHHYsXVzpvboN1G4feMaFs35WZJxvmjeGguWr4GtnZ0k/RERERGZAwsLC7Ro3RZJiQl4Hvwso/1tbAy2bv4Drdt1gKdXQSNmSKSd/K6uWdquXb6Ia5cvwtbODkWLlUDR4iXgki8/7OVyyOUOsLax4Wk4RERERERm5tDfezFpzEiEvQrN1L57+1bs3r5VkjHs5XKs2rAFn3/RVJL+iIiIiMxFwYIF0a1bN2zatCnTJuajR48iKSkJjRs35iZlMhsWFhYoUKAAIiIiMtpSUlKwd+9eAO9f72XKlEHhwoXh6OgIBwcHyOVyvsaJiIiIiEzIvn37MHjwYISEhGRq//PPP/Hnn39KMoadnR127NiBVq1aSdIfERERkblw9/BE+85dsGPr5kxrAmdPn0BychL8GzaClRW3wJP5yF+gACLCwzIep6al4p+DfwMAPD29ULxkKXgXKvzfeoAD7LkmQERERGQ2+M2EiOgTSqUSWzdtwPQpExEbE63x8+zt5XDOlw+R4WFQqVTZXu9awA29vx6IAd8P50QRERER5UkymQxtAzpj2+Y/EBERntEeE/0GW/5YB//PGsGvVm0WLyKzUKpMWfgUKozg4OdZYinJyXh4/y4e3r+bqV0ms4JcLofcwQH2/y2wyeXyjP9vbWUtOJ6tvR0cHZ3g6OTM7xNERERERAbw6uVLTPpxBA4f2K/V87y8vRH39i0SExI0ur7+Z59j0k8zULFyVR2yJCIiIjJ/JUqUQIcOHbBjx45M7WfPnsXTp0/RqVMnuLm5GSk7Iu00adIEW7ZsgVKpzBILCwtDWFhYlna5XA4HB4cs/zk6OsLe3l5w3Uwmk8HJyQnOzs6Qy+VcXyMiIiIiyoHQ0FAMHToUO3fu1Op5Pj4+ePv2LeLj4zW6vmHDhpg3bx78/Px0SZOIiIjI7BUuUhQt27TH33t3ZdqPeeXSBYQ8D0ardh1QwM3diBkSac6/YSPs3r41U7G5DyIiwjPtmfnAzs7+fbGujwp2yf87zMPeXniuXyaTwcHREU5OzrDnmgARERGR3nH3JhHRR0JDQjA0sD8uBJ3V6nm2dnZYuXEbatXzhyIlBa9CXyI05DlevniO0JAXeBny/n9jot+geMnSCOjaA42btYKNjY2e/iRERERE5sHW1hYBX3bDlo3r8TY2JqM9PT0dJ48fRfCzp2gb0Am2trZGzJIoezKZDB27dMfO7dsR/PSxRs9JT0/Du3dxePcuLkdj28vlcHJyhqOTExydXODo5AT3/2PvrsOjOtM2gN8TnbgTNwIkIUQIIQQI7k5pkSp12Zbdra10rbLtdn2/rWy91KBocQ3uGiUQI+7JRGeSTEa+PyhTTmYmRGYykft3Xb3Ked5z3vMEApmZ57zP6+YCR0cnODk7w97BoVfzExERERENdd988Sne+uNrXW6wddusufPx2bebYGFhgTpJLYoKC1BSVPTj/wtv/b+4CFZWVpg+ay7WPLwWw0NGGOmrICIiIho4IiMj0dzcjIMHDwri5eXl+Pjjj7Fs2TKMGTPGRNkRdd3IkSOxZs0abN++Ha2trV26RiaTQSaTobq6usf3tbCwgKOjI5ycnAT/v/1rNzc3bvxBRERERKTHp59+ipdffhlNTU3dum7evHnYuXMnrKysIJFIkJ+fj4KCAuTn5wt+bWVlhfnz5+OJJ57AqFGjjPRVEBEREQ0coeGjIZU241jSIUG8qqoS367/HHPmL8LoMZEmyo6o64KCh2PZvauwb9cOtLa2dOma1tYWtLa2oLa2psf3tbCwgL2DIxwcHODg6AgHB0d4e7jCwdEBTo5OcGVNgIiIiKjX+GqKiOhHktoarFo6H4UF+Vpjjo5OWLbyfsTGT8DVi+dx5MA+lJUWAwBsbGzxn0/WI35SIgDAytoaQcNDEDQ8pE/zJyIiIhqo7OztsfL+B7H7h22orBDuEF5YcBNbNnyDFavuh62dnYkyJOoaKysrLL7nPlSUlSI/LwcF+Xmo7cXima5qkcnQIpOh6o7ddCwtzDS/HjEyFEvuuRdmZma6LiciIiIiok58+cn/8Idfv6xzbPyEiVh+3yqIRCIc3L8HZ0+eQHt7OwBgyvSZ+Gj9d7C0tAQAuLq5w9XNHTGxcX2WOxEREdFANnHiRJiZmeHQoUOCHcbb29uxbds2tLa2Ii6Or62o/xs1ahR+8YtfICsrC9nZ2cjLy0NbW5tR76lQKCCRSCCRSHSO29nZYenSpQgNDTVqHkREREREA81HH32E5557TufYxIkT8cADD8DCwgI7d+7E0aNHIZfLAQDTp0/Htm3bNBtQurm5wc3Nje9biYiIiLooNi4eZmZmOHE0CQqFQhNXKBTYv2cn2tpaMXbceBNmSNQ1wcND8PgzP8PN3Gzk5+Wh4GYe2uTGrwnU10lQX/dTTUB8x1oCG1tbLFy8GKGhYUbNg4iIiGgwY3MuIiIAbW1teOLB1Tobcy295z786Z2/wt7ZHQCwcOkK/O6tv+J6RhqKCvMRFTMOPn7+fZ0yERER0aDi5OSM+x9+FOdOn8TF82ehVqs1Y5WVFdj03ddY89Ba2NjamjBLorsTiUTw9vWDt68fJk2dgabGBhTczENh/k3UVFehRSYVFI37Qm5OFq5fS0dEZHSf3peIiIiIaKA7cugA/vTbV7Xibu4eeP2dv2kacwHAI088jcaGBlw6fxZm5uaYNnM2G+QSERER9dKECRMQGBiIbdu2ofqOjRDUajX27NkDhUKBhIQEE2ZI1DU2NjaIiYlBTEwMlEolioqKkJOTg/z8fDQ2NkImkwlqY8YmlUqxd+9ejBo1SvOehoiIiIhoqDt06BBeeOEFrbi7uzv+9a9/4aGHHtK8fn722WfR2NiI06dPQyQSYd68eawJEBEREfVSTGwcfP38sW/XDtTUCDdHPnr4IFRKFcbFTzBRdkRdZ2Njg4jIaERERkOpVKKstAT5ebkoKshHU1MTWlr6tibQIpPh4P79GDlyFN+3EBEREfUQm3MR0ZCnVqvxyrrncOnCOUHcPyAQb//jP5g5Zx4AQNrarhkTiUQYHRmN0VzcTkRERGQw5ubmSJw2A4HBw7F35w+QSps1YxJJLc6dOaV5bUY0UDg4OiEyJhaRMbGamFwuR4tMihaZDDKZDDJps+bXLS2341KolCqdc6pUKrTIpGhvb9c5rktRYQGbcxERERERdUNmRjp+9sQjUKmEr8vvf+RRvPb6n+Hi4qp1jaOTE2bNW9BXKRIRERENCV5eXnj66adx4MABXLlyRTB2+PBhhIeHw8nJyUTZEXWfubk5goODERwcrImpVCq0tLSgubkZUqlU67/b8dbWVr3zyuVyNDc3d3lBT2NjIyQSCdzc3Hr9NRERERERDXTXrl3DypUroVQqBfHHHnsMf//733W+bnZ0dMTChQv7KkUiIiKiIcFjmCcefPQJnDhyGCnJwprAqRNHMSI0FE5OzqZJjqgHzM3N4R8QCP+AQE1MpVKhtaUFMpkUMpkM0ubmW+sIZFLIpLdiMlnnNYF2uRxSaddrAs1NTaitrYWHh0evvyYiIiKioYjNuYhoyHv/X3/HD1u+F8S8fXyx4+BReHp5mygrIiIioqHLPyAQqx96BNu+34CGhnpN/GZuDptz0aBgZWUFKysrODm79HgOtVoNeVsbmpoa0dzUhOamRjQ1NULa1ISmpkbImhrQ1NSoOb+yvNwQqRMRERERDQm1NdV47P77IG1uFsRf/PVrePk3vzdRVkRERERDl6WlJRYvXgwHBwccP35cE1cqlcjNzcW4ceNMlxyRAZiZmcHOzg52dna9mkepVKK5uRmNjY1oaGgQ/L+xsREVFRWCZgNlZWVszkVEREREQ15tbS0WL16MxsZGQfx3v/sd/vznP5soKyIiIqKhy8LCAjPnzoedvQPOnDquiSuVSuTn5SImNs5kuREZgpmZGWzt7GDby5qASqX6cR1BExobG9D84zqCpsZGKFqlqKoU1gQqysvYnIuIiIioh9ici4iGtKLCAvzzXWHRzM7eHl99v42NuYiIiIhMyMXFFUvuuRffrv9cE2toqEdTYyMcHB1NmBlR/yASiWAtFsNaLIa7xzCt8YbaSmz8Zr3mWCKphVwuh5WVVR9mSUREREQ0MP3zL39GaUmxILbs3lV46de/M1FGRERERCQSiTB9+nRUVlbi+vXrmnhxcTGbcxH9yNzcHE5OTnBycoK/v7/W+IYNG5Cdna05LisrQ2RkZF+mSERERETU77zxxhsoKCgQxFauXIk333zTNAkREREREUQiERImJ6KmugpZNzI18bLSEjbnIvqRmZkZHJ2c4OjkBB/4CcacbCywdfMmZGdlaWLl5eWIjIru6zSJiIiIBgUzUydARGRK//ePd6FQKDTHZmZm+PCzrzA6MsqEWRERERERAAzz9IK1tVgQKystMVE2RAOLxzBPmJn99LGPWq1GbU21CTMiIiIiIhoYSoqKBI1uASAuPgH/fP8jiEQi0yRFRERERBpBQUGC4+LiYt0nEpEWHx8fwXFVVZWJMiEiIiIi6h9KSkrw8ccfC2ITJkzAV199JXjuhoiIiIhMwz8wUHBcVlpqokyIBh4vb2FNoJo1ASIiIqIe46fFRDRkFRUWYOvG7wSxx55+DrPmLTBRRkRERETUkbW1teC4vV1uokyIBha1Wg2VSiWImZubmygbIiIiIqKB4/1//x3t7e2aY2tra3z4xdcQi8WdXEVEREREfaVj3UAuZ92AqKuUSqXgmHUDIiIiIhrq3n33XcH7SktLS2zatAk2NjYmzIqIiIiIbrOy6rCWgDUBoi5Tcy0BERERkcGwORcRDVlJB/cLHjoT29jghRdfMWFGRERERHSn6qpKNDY2CGKeXt4myoZoYKmT1AqORSIRXFzdTJQNEREREdHAcXDfbsHxQ489CR9fPxNlQ0REREQdZWdnC459fHz0nElEHdXU1AiO3d3dTZQJEREREVH/sGPHDsHxU089hcDAQNMkQ0RERERabublCo65loCo62pqqgXHbqwJEBEREfUYm3MR0ZBV2+HN5fRZc+AxzNNE2RARERFRRzdzhcU0JydnuHsMM1E2RANLbYcFNo5OzrC0tDRRNkREREREA4NardZ6LX3fmgdMlA0RERERdaRUKpHboXYQGhpqomyIBp7qauGzUh4eHibKhIiIiIiof+j4Gnnt2rUmyoSIiIiIOlKpVMjv0JwrZORIE2VDNPBob9jBmgARERFRT7E5FxENWTKpVHDs5ORkokyIiIiISJfW1hbBsbOLK0QikYmyIRpYJLXCYpqbG3e6ISIiIiK6m9bWVqhUKkHM0cnZNMkQERERkRaVSgW5XC6Iubm5mSgbooFFqVRCIpEIYmzORURERERDmVwu13qPyfUERERERP1LW1ur4NjZxdVEmRANLCqVCpLaWkGMNTUiIiKinmNzLiIasqTSZsGxja2diTIhIiIiIl3c3IXNhIqLCrQarBKRbrUddrpxZTGNiIiIiOiuZB3qBgBga2trgkyIiIiISBcLCws4OzsLYteuXTNNMkQDjEQi0WpG7O7OjT2IiIiIaOiS6ngOzd7e3gSZEBEREZEuZmZmcHEVPv+cfT3TRNkQDSx1dXVQKpWCmDs37CAiIiLqMQtTJ2AK9taWpk4BANDc1m7qFIg65WTTP/6JaGhRGGVeabOwoGZn13kxrUkm73S8r8ia2kydAgBgRKCLqVPoVxql/ePfdEe7/vEzjqgzdmJ+nxJR14wMDcexw4fQrrj1c7ZNrkBySipixo03cWZE+vWHn3MqlQrVVZWCWMdmdzS0Get9dnf1l88diIhIG+soNFTpWohzt9qBtJXfp3fqL59RO9hamTqFfqW/vPbuLz9fiIho4BKJRIiJicHx48c1sfT0dMydOxcWFv3j5x1Rf1VWViY4dnBwgFgsNlE2RERERESm19ysvWEHm3NRb/SX53FIiH8u1Jn+UkMjIv1GR0TizKnjmuOsG9cxffZcWFqy9kz9U3/52XItT1gTsLWz4waFpNFfnsvkc0RERDSQ9I9XeUREJiCTCgtqdnZ2JsqEiIiIiHQRi8UYERqK69cyNLHrGWlszkV0FxlpKWhoqBfE3D2GmSYZIiIiIqIBRNphIY5IJILYxsZE2RARERGRLtHR0YLmXC0tLcjOzsbo0aNNlxRRP6dQKHDixAlBzNPT00TZEBERERH1D7qac3E9AREREVH/MnpMJM6ePgG1Wg0AaGtrRV5ONsJGR5g4M6L+S6lU4vSpU4KYh4eHibIhIqK7UavVqKysRH19PRobGyGTyWBnZwdHR0c4OTnB1dUVVlb9c7NSmUyGwsJCNDQ0oKWlBWKxGPb29ggKCoKDg4Op09MikUhQUlKC5uZmyOVy2NrawtnZGUFBQf3295j6DzbnIqIhSyaTCY5tudMNERERUb8TERktaM5VU12F6qpKeAzjggEiXVpbW3H6xHFBzN3dA55e3qZJiIiIiIhoAJFJpYJjWzs7mJmZmSgbIiIiItLFxcUFQUFBKCgo0MRSUlLYnIuoExcuXIBEIhHEoqOjTZQNEREREVH/IO1QExCLxbCw4BIrIiIiov7E0ckJAYFBKCzI18SupaexORdRJy5fuoTamhpBLIo1ASKifqO4uBjnzp1DSkoKcnJykJubq9Xz4k6WlpaIiIhATEwMxo8fj2nTpsHS0rIPMxa6cuUK9u/fj1OnTqGwsFDTRLUjHx8fJCYmYu7cuUhMTIRIJOrjTG9tYpWUlISkpCScO3cONR1+Pt5mbm6OESNGYNq0aVi8eDFCQ0P7OFMaCPjJMRENWVKpcLcb7nRDRERE1P/4BwTCwcERTU2Nmtj1jHR4zGRzLqKOZFIp9u3egZYW4Yey02fPNcmHmEREREREAw3rBkREREQDQ0xMjKA5V25uLpqbm2HPTdmIBNRqNbKyspCUlCSI+/v7Y8yYMSbKioiIiIiof2huZk2AiIiIaCAYPSZK0JyrsOAmmhob4eDoaMKsiPoftVqN3NwcHDsirAl4+/hiTGSUibIiIqL29nacPXsWhw8fxtmzZ1FaWtrt61NSUpCSkoL169fDw8MDa9aswZo1a+Du7m6krLVduHABf/vb35CRkdGl88vKyrB582Zs3rwZwcHBeOmllzB37lwjZ3mLSqXCli1b8OGHH6KiouKu5yuVSmRlZSErKwuffPIJJk2ahF//+tcICwvrg2xpoGBzLiIasmQddruxs+NDmkRERETGolarIamtQWNjI6ytrWFjYwNbO3tYW1t3ep2ZmRlGj4nEhXNnNLGs6xmYMCkR1mKxsdMm6pcUCgWKiwohqa1FfZ0EdRIJ6uskaGio1zp3xMhQBAYF932SREREREQDUMfmXLasGxAREREZVVtbG8rKygDgVt3A1hYODg533Wxg9OjR2LdvH+RyOYBbD1ZeuXIF06ZNM3rORP1VbW0tSktLUVtbi9raWkgkEtTU1Gj+ntxp/vz53NSDiIiIiIa8js252PCZiIiIyLjkcjkqK8qhUqlgY2MDGxtb2Nnbw8zMrNPrRowKhbWVNdrkbQBurUtIS7mKyVOn90HWRP2TRCJBWWkJJLUS1NVJUFsrgURSC3lbm9a5c+Zyo28iIlNITU3Fli1bcPjwYdTX1xts3urqarz33nv48ssv8bvf/Q4rVqww2Ny6yOVyvPnmm9iyZUuP58jPz8e6deswa9Ys/PWvf4WDg4MBMxSqqKjAL3/5SyQnJ/d4jrNnz2LFihV49tlnsW7dOv4cJQBszkVEQ5iUu90QERERGV1TYyOuXr6InOwsNNTXCcZEIhGGh4zE9Nlz4OzsoneOiMgoQXOu1pYWHNizE0tWrLxrMY5oMFGr1ci6noljSYcgk0nver65uTmmzpzVB5kREREREQ0O0uaOm3qwbkBERERkaGq1GtevX0dKSgpu3rwJhUIhGHdwcMCUKVMwfvx4vQ84WllZYfTo0UhJSdHETpw4AX9/fwwfPtyY6RP1O1KpFPv37+/yDsXR0dHw9fU1clZERERERP0fm3MRERERGZ9arUZeTjYy0lJRWKBdE7Czs0f8xEmIiY3Tuy7AysoKo8LCkZ6WooldOHcGPn7+CB4eYsz0ifodmUyGw4cO4lp6epfOjxgzBn7+/kbOioiIdFm/fj327dtntPmbm5vx29/+FklJSUZreNXQ0ICnnnoKqampBpnvyJEjWLlyJb788kt4e3sbZM47ZWZm4qmnnkJNTU2v51Iqlfjggw+QlZWFf//737CysjJAhjSQcRUzEQ1ZUqlwkY0tC2pEREREBqNSqXDl0kWs//QjXL54XqsxF/BjsS03G19/9gkuXzgPlUqlcy4XVzcEBgkX0xQV3MT50yeMkjtRf9TU2Iid27Zg764futSYy9LCEguXLIeLi2sfZEdERERENDi0yDo252LdgIiIiMiQamtr8c0332Dz5s3Izs7WWoQDAE1NTdi3bx+++OILVFVV6Z1r/PjxgmOVSoUtW7agoaHB4HkT9UdqtRppaWn44IMPutyYKygoCAsXLjRyZkREREREAwObcxEREREZV12dBNs2bcTO7VuQl6u7JiCVNuNY0iF8/+1XqK6q1DtX1NhYwbFarcbenT+goaHe0GkT9UtqtRrXMtLx8f8+7HJjLv+AQMxbwJoAEdFgd+TIETzyyCOor6836LxSqdSgjbluy8/Px6OPPora2lqDzpuXl4fHH3/cII257pSUlISXX34ZSqXSoPPSwGNh6gSIiExFJhUW1GxtbU2UCREREdHgUllRjsP796KysqJL57cr2nHiWBKqqyuxYPEynefMXbAIpZ9/ihaZTBO7evkixsZNgA1fx9EgplarkZ6ajJNHj6BN3nbX80UiEUaOCsPUmbPg5ORs/ASJiIiIiAaRjpt62Njx/SYRERGRISiVSpw6dQqnTp3q8gOLxcXF+Oyzz/DYY4/p3DHV19cX06ZNw4kTP23k0dLSgjNnzrD5EA16DQ0N2LNnD3Jycrp0voODA6ZPn47Y2FiIRCIjZ0dERERENDCwORcRERGRcSiVSlw6fw4Xzp3W2ZBLl/KyUmz8ej1WPvAQvH18tca9vH0waco0nD31U02gra0Vl86dxez5rAnQ4NbQ0ICD+/cht4s1AXsHByROmYqxrAkQEfVrtra2SEhIwNixYzF69Gj4+/vDzc0NYrEYUqkUdXV1yMjIwIULF7Bnzx7I7lhT2VFmZibWrVuHL7/8EhYWhmkh9Mc//rHTxly2tra49957MWvWLISGhsLR0REtLS3Iz8/H6dOnsWXLFpSVlem8tqCgAC+++CLWr18PMzOzXucqlUrxs5/9DHV1dXrP8fX1xapVqzBp0iQMHz4cYrEYjY2NyMrKQlJSErZv36739/jQoUP44IMP8POf/7zXudLAxeZcRDQktbe3Qy6XC2J2diyoEREREfWGSqXC5QvncebUcahUKp3niMU2UCoUaFe0a41lZqQjNDwCw0NGaI05Ojlh0bJ7sX3TBqhUtxbuqFUq5GbfQGRMrNb5RINBnaQWhw/sQ3FRoc5xT08vuHl4wMXFDc4uLnBxdYWziyusra37OFMiIiIiosFB2mFTD9YNiIiIiHqvtrYW27Zt0/vQpZmZGcRiMVpaWqBWqwVjcrkcu3fvxlNPPaVz8cD06dNRVVWF69eva2LXrl3D/PnzDfIAJ1F/o1KpcPnyZSQlJWk99wQAYrFY89C2m5sbXF1d4ebmBicnJy7AISIiIiLqoOOGHXZ2dibKhIiIiGjwqKuTYP/unSgvK9U5bmZmBmtrMVpbtWsC7Yp2JB3YhwcffULnZ/wJkxJRW12NrBuZmlh21g3MmDMP5ubmhv1CiPoBlUqFlORkHD2SBHmb9ibfVtbW8Pf3h6ubG1xcXOHq6gpXNzc4OjqyTkZE1E9ZW1tjzpw5WLp0KSZNmgRLS0ud5zk5OcHJyQlBQUFYvHgxXn75ZXzyySf48ssv9a7ZvHjxIj755BP87Gc/63WeO3bswJ49e/SOT5s2De+88w7c3d0FcQcHB0RFRSEqKgpPPvkk3nvvPXz66adar/sA4MKFC/j000/xzDPP9Drft99+GwUFBTrHRCIRnnrqKaxbtw5WVlaCMVdXV0ycOBETJ07Es88+i9deew0nT57UOc///vc/TJ48GePGjet1vjQwsTkXEQ1JMplUK2bFBexEREREPdbc1IT9e3aiqLBA5/iYqGjExMZhmKcXRCIRWlpacPbUCaQmXxF8wHL8yGEEBgXrLJB5+/ph+MiRyM26oYll38hkcy4adMpKSnD18kXkZN/Q+aGpnZ09Zs6Zh5GhYVxMQ0RERERkQLIOC3GsrFg3ICIiIuqNlJQU7Nu3T2cTIScnJ8yYMQNhYWEQi8VQqVQoLCzE7t27IZFINOeVlZUhOTkZsbHatQCRSITZs2cLmnNJpVLk5+cjJCTEOF8UkQm0tbUhOTkZFy5c0Lvbb0REBBYsWAB7ezYZJiIiIiLqiuZm4YYd3AyPiIiIqHcyM9Jx5OB+yNu1awIODo6YNGUqQkaGwsbGBmq1GiXFRTh8YB/qJLWa86qqKpGemozosdpND0QiERKnzxA052ppkaGwIF/n5uBEA1VbWxvSUlNx+dJF1N1RM7tTWHg45s5nTYCIaKDw8PDAI488gpUrV8LFxaXb1zs7O+NXv/oVJk2ahHXr1kEmk+k876OPPsK9994LT0/PHufa3NyMv//973rHly1bhnffffeujSCtrKzw8ssvw8/PD3/84x91nvO///0PS5cuhbe3d4/zTUlJwfbt2/WOv/nmm1i1atVd5/Hw8MDHH3+MX//619i1a5fWuEqlwltvvYXt27ezCeYQxT91IhqSrCytYGEh7E+44asvTJQNERER0cAmbW7Gpg3f6GzM5e7ugTUPrsW8hUvg6eWtaSRkY2ODWXPnY878hYLz6yS1uHrpot57BQ8XFs7q63QXG4gGGqVSiRuZ17Dh6y+x8dv1yLqRqbMxV0RkFNY++QxGhYWzMRcRERERkYHZ2tkJjpMO7kNlRbmJsiEiIiIa2M6fP48dO3ZoNeYyMzPDpEmT8PzzzyMmJgZisVgTDw4OxnPPPQcPDw/BNUeOHEFra6vO+7i5ucHNzU0Qq62t1Xku0UBTV1eHgwcP4l//+hcOHDigszGXg4MD1qxZg5UrV3IRDhERERFRN3R8/bxv3z6UlpaaKBsiIiKigS3l6mXs37NTqzGXSCRCbFw81j75DMZExcDGxkYT9w8IxCOPPwV3d2FN4MzJE2hpadF5H2dnF7i5uQti+poXEQ009fX1SDp8CO/9339w+OABnd/bdvb2WLFyJVbcx5oAEdFA4O7ujj/84Q84cuQInn766R415rpTYmIi/vvf/2r1yLitra0N69ev79U9Pv/8c9TU1Ogci4qKwttvv92t5lSrV6/G2rVrdY61tLTgvffe61Get/3973+HWq3WOfboo492qTHXbWZmZnjnnXcQFRWlc/z69es6G3fR0MDmXEQ0JNnY2mLazNmC2Ccf/Bf5N/NMlBERERHRwNTW1oYftnyv1SRLJBIhYVIiHnrsSfj6++u9fkxUDLy8fQSx82dOobGhQef5FeVlgmMbW9seZk7UP7S0tODiubP4/KMPsHfXDygv0/2Qn5OTM+5d/QDmL1qqKUwTEREREZFhzV2wSHDc3NSEv7yhe8cuIiIiItIvPT0dBw4c0Iq7ubnhySefxNy5c2FlZaXzWktLS8yfP18Qk0qlOHr0qM7zpVKpVsMiuw5NV4kGErVajcLCQmzatAn//e9/ce7cObS1tek8d9y4cXj++ecRFhbWx1kSEREREQ18S5YsEWyMJ5VK8eqrr5owIyIiIqKBKet6Jo4ePqgVd3Zxxf0PP4oZs+fC2tpa57UWFhaYMWeeINbSIsPp47prAi0yGeo6rFuw5XoCGsDUajWKi4qwfesW/O/993Dx/HnI9dQEomJi8PSzzyEsLLyPsyQiop5YtWoVDh8+jIceekjva6GemDJlCh555BG947t27YJKperR3C0tLdiwYYPOMQsLC7zzzjuwtLTs9rwvv/wyfH19dY7t2rULlZWV3Z4TAFJTU3H58mWdY35+fnj55Ze7PaelpSXeeecdmJub6xz//PPPuz0nDQ66W+IREQ0Bf3jrLzhxNAkKhQIAIJfL8fpvX8VXm7abODMiIiKi7quuqsSh/XshbW5GQFAQJkycDBdXt7tf2AsKhQK7tm9BZWWFIO7o6IQFi5fBLyDgrnOIRCLMnDMPG77+UhOTt8tx/MhhLF1xn+BctVqNnKzrgtjIUSws0MDR3t6O5uYmNDfd+q+spBjX0tPQrmjXe42VpRWiY8chYfIUvYvViIiIiIjIMCKjx2LVAw9h84ZvNbGt33+Hhx59AnETEkyYGREREVH3qdVqnDp1CufPn4eTkxPGjx+P6OhovQ8QGkpubi5++OEHrfi4ceMwb968Ln3OGRISgtDQUGRlZWlily5dQkxMDHx8hBt+XL9+XfBgqaWlJUaOHNmLr4Co76jVashkMjQ2NqKpqQn19fVISUlBWVlZp9f5+Phgzpw5CA4O7qNMiYiIiIgGn6ioKDzxxBP47LPPNLGNGzfi2WefxdSpU02YGREREVH3qdVqnDt7FhcvnIeDgwNix8UhMioKFhbGXUJeWJCP/Xt2Qq1WC+JjoqIxY3bXagIBgUEYFRqO7DvWCaSlJiMiKho+vn6Cc/NyswU1AQsLCwwfwZoADQy3awLNTU1obGpEQ30D0tPS9G7ufZuXlzdmzJqF4OHD+yhTIiIyhIkTJxpt7p/97GfYtGkTpFKp1lhNTQ2ysrIQHt79NZd79uxBfX29zrGlS5f2+FkMa2trrFu3Dr/5zW+0xtrb27F582asW7eu2/N+++23esfWrVvX43V4I0eOxLJly7B9u3bPkezsbFy4cAETJkzo0dw0cLE5FxENWSNGheKJZ5/Hx+//nyZ25NABHDm4H7PmLTBhZkRERETd09jQgG2bNkIqbQYAXEtPQ2ZGOkLDI5AwaTLc3D0Mfk+VSoX9u3eiqLBAEHdydsH9D62Fnb19l+fy9vFFVPRYpKUma2I52TdwMy8Xw0NGaGLt7e1obWkRXNvQUN+j/In6glKpRGH+TWRmpKOosAAtLbIuX+vo6ISx48ZjTHQMxGKxEbMkIiIiIqI7/fZPb2H/7l1oamrUxP7w65ew58gpozeyICIiIjKk48eP48SJEwAAmUyGXbt24cSJE0hMTERsbKxRXtuUlpZi8+bNWruwzpo1C1OmTOnWXAsWLMDNmzfR3n5rcwO1Wo09e/bgySefhJmZmea8jg+GqtVq1NfXY9iwYT37IoiMrKGhAWlpabh27Rqqq6uhVCq7dJ1IJEJYWBgSEhIQEBAAkUhk5EyJiIiIiAa/d955B1u3bhW8t1y3bh2uXLli9EYWRERERIZ05tQpnDxxHAAgk0qxf+8enD51EhMnTUbM2LFGeW1TWVGOXdu2aH3GOWnKNEyc3L2awLSZs1FwMw/ydrkmduTgfjz46BOCmkCDjppAY0M9PIZ5dv8LIOoDDQ0NuJaRgeuZ11DTzZrAyFGjMD5+AgICA1kTICIiAQcHByQmJuLgwYM6xzMyMnrUnGvXrl16xx599NFuz3enRYsW4R//+Adqamq0xnbv3t3t5lwtLS1ISkrSOebh4YFFixb1KM/b1q5dq7M5F3ArXzbnGnrM7n4KEdHg9ctXf4thnsIPX/702q/Q1tZmooyIiIiIukelUmHXD1s1jbluU6vVuJGZge/Wf4HCgnyD3lOtVuPY4YOC3WkAwNbWDveuvr9bjbluS5w+EzY2toLY0cMHNYtuAMDKygr+gcIdwK9npCEvO6vb9yMytsKCfHz56Uf4YesmZN3I7HJjLh9fPyxZfi+eePZ5xE1IYGMuIiIiIqI+5jHMEy/95neCWHpqCjZ+s940CRERERH1QE5OjqYx150aGhqwd+9ebNy4scsP/3dVTU0NvvvuO8jlckE8ISEBiYmJ3Z7P2dkZU6dOFcTKyspw+fJlQSwsLExwrFAosH37digUim7fk8iY5HI59u3bh//85z84cuQIKioquvT30NraGgkJCfj5z3+O1atXI5CLcIiIiIiIDMbDwwNvvvmmIJaWloZPPvnERBkRERERdd/NvDxNY647NTU24tCB/dj8/UaDf2ZeVyfB9s3fC5ppAUDM2HFImNT9moCjkxMmJgprAlVVlUi+IqwJhIwcJfh8VKlUYt+uHawJUL8jl8tx6OAB/O/993D86BFUdrEmYGllhbj4eDzzs+dx36rVCAwKYk2AiIh06qw5VFFRUbfnk0gkWs9j3BYaGorQ0NBuz3knKysrLFiwQOdYYWEhrl+/rnNMn5MnT0Im071Wb/78+bC0tOx2jncKCwvDqFGjdI4dPnxYa9M6GvzYnIuIhjQHR0e89vqfBbGCm3n49MP3TJQRERERUfcUFuSjsqJc73i7oh2H9u0RNLnqrfNnTyMl+YogZm1ljRWr1sDFxbVHc9rY2GDazFmCWEN9HS6eOyOIzZgzD1ZWVoLYkUP70NrS0qP7EhmaSqXC0cMHsfX779BQX9ela8zMzBAaHoEHHnkM9z/8KEaFhQt2eSIiIiIior716FPPYlSYcNewv771OurqJCbKiIiIiKh7Tp061el4bm6u3ocqe6KxsRHffPON1oOPkZGRmDdvXo8XDUyaNAkeHh6C2JEjR9Dc/NOGJX5+fkhISBCcU1FRcdffA6K+VFFRgQ8//BAXL16EWq3u0jUuLi6YP38+XnrpJcyfPx8uLi5GzpKIiIiIaGh67rnnEBkZKYj9/ve/R01NjYkyIiIiIuqec2fPdDpekJ+Py5cuGex+0uZmbNu0ETKZVBAfFRqOGXN6XhMYGzce7u7CmsDZk8fR1NioOfby9kFcvLAmUFNTjXOnT/bonkTGUFVZic8++RiXL17scuMOJ2dnzJozF+t+8UvMnTcfrq49W5dDRERDR8dnKe7UeMfrp646e/as3p9bs2fP7vZ83Z3n9OnT3ZrrzBn9r4ENle+cOXN0xuvr65GRkWGQe9DAwZWeRDTkrVh1P8aNF3YH/e8//4o6Sa2JMiIiIiLqumvpaXc9p7GxAcmXDVNQy0xPw9lTJwQxc3NzLL13JTy9vHs19+gxUfDzDxDELl04B0ntTw86OTm7YOpM4Qcbba2tyMy4++8DkbGpVCoc2r8HyVc6//tmbWUNV1c3BAQGIWFSIp589gUsXnYPvH18+yhTIiIiIiLqjKWlJd589x+CWJ2kFu//6+8myoiIiIio6yQSSZd2QT1+/DhaW1t7fb/29nZs2LABDQ0NgnhISAiWL1/eq928zc3NsWjRIkGsra0NBw8eFMRmz56NYcOGCWIXLlww6MYlRD1VUVGBr776CvX19XrPEYlEcHBwgI+PDyIiIrB69WqsW7cOCQkJsLa27rtkiYiIiIiGIAsLC7z3nnBj77q6Ovz5z3/WcwURERFR/1FfX4/CgoK7nnfm9CmtDTZ6or29HT9s+V5rA+OAwCAsWLKsV5sTm5ubY/a8hYKYvF2OE0eTBLFJU6Zh2DBPQSz16hXI5fIe35vIUKoqK/Hdt9+gvk7/Jt8ikQj2Dg7w8vZB+OjRWHHffXju+RcwISEBYrG4D7MlIqKBzM7OTu+YUqns9nznz5/XOzZp0qRuz6dLbGys3p91nd2/O+eLxWLExsZ2OzddJk6cqHfs3LlzBrkHDRwWpk6AiMjUzMzM8Oe//wsLpk/WxGRSKZKvXMbMOfNMmBkRERFR51pbW5GXkyWIzZwzD2Gjx2Dnts0oLSnWxC+eO4MxUdGw7eSDl7uprCjH4YP7BDGRSIQFi5chIDCox/PeOdesufPxzZefaTqtK5VKHDl0APeteVBzXlhEJPJyspGfl6OJXc9Iw9i4+F4t8iHqreQrl3U2zPP08saYqGgEBAbBzt6BC2mIiIiIiAaAxGkzsGDJMuzfvVMT69ismoiIiKg/SklJERzb2tri5ZdfRnZ2NjZt2qSJt7S04OTJk5g7d26P76VWq7F7925UVFQI4r6+vli9ejXMzc17PPdtQUFBiI6ORmpqqiaWnp6OsWPHYvjw4QBuLaResWIFPvroI805ra2tuHHjBiIjI3udA1FP3W5e19LSIohbWloiKioKY8aMgZubG+zt7Xu1aI2IiIiIiHpn2rRpWLVqFTZv3qyJHT161IQZEREREXVNRprwuWWxjQ1+/ssXcfNmHrbeURNoa23FmdOnMGduz9dKqtVqHDm0H5WVwpqAp6cXlq5YCQuL3i9X9/X3x5ioaGSk/VQTyLqRiYib0QgeHgLgVk1gwZJl+PqLT6FWqwEAbfI25GRdR0RkdK9zIOophUKBLZs3oaVDIzwLCwuMiYpCePhouLm7syZAREQG0dnmULa2tt2eLz09XWfc3NwcY8aM6fZ8ulhZWSE8PBzJycldvr8ujY2NKCws1DkWHh4OKyurHud4p8jISJibm+tsdtadfGlw4Ks3IiIAgUHDtWJe3j4myISIiIio627mZEOhUGiOzc3NERYeARsbG8yYPVfQqKpN3oZzZ071+F4tLS3YvWO74H7ArWZgoeGjezxvR+4ewzBu/ARBrKiwANevZWiORSIRYuLGC86R1NagoqzUYHkQ9UTK1cuCY3Nzc8yaOx8Prn0cMbFxcHVzZ2MuIiIiIqIBpGPtgHUDIiIiGgiuXbsmOI6KioK5uTnCw8MxerTw8/wLFy6grpOdu+/m0qVLSOuw8MfNzQ0PPPCAwR52BIC5c+dq7Z66d+9eQc3Cy8tL06zrtqtXrxosB6KeyMrKQmNjoyDm7++P5557DkuWLEFwcDAcHR25CIeIiIiIqB8ICQkRHPv6+pooEyIiIqKuy8wU1gRGR0TAwsICo0aFYnREhGDs6uXLkEgkPb5Xemqy1ibGzi6uuGflGoM+Hz11+iyIxTaC2NHDB9He3q45dvcYhqBg4eu3Oxt6EZnCzdwcNHRolOLj64cnnn4GCxctRvDw4awJEBGRwWRnZ+sd8/Hp3rOucrkceXl5OsdCQkK0ntfojYgOr1Fva2hoQGlp19aGdnwupivz94RYLNb6zPC2zMxMg92HBga+giOiQUkmlWLzhm/w9eefoKiw4K7nZ10X/gC0sLDAiFGhRsqOiIiIyDBu5uUKjoOCQ2DzY2dzTy9vhEcIu5KnpVyFpLam2/dRq9XYv3snGuqFC3RiYuMQExvX7fnuJmHyFDg6OgliJ44moa21VXPs6xcAJ2cXwTnX0llQI9ORNjejvk5YsJ45Zx5iYuMEjfKIiIiIiMh0MtPT8PH7/4ekA/vQ1tZ21/NvZGYIjju+zyYiIiLqb2pra1FbWyuIRUZGan49e/ZsmJuba46VSiWOHDnSo3sVFxfjwIEDgpi1tTUeeOAB2NnZ9WhOfezs7DB79mxBrLa2FmfPnhXEYmNjBcf5+fm9WmhE1FtFRUWCYwcHBzz88MNwdXU1UUZERERERENHeno6/vnPf2L37t1dqgmkp6cLjqOiooyVGhEREZFB1NXVoaa6WhAbM+anmsD0mbO0agLHj/asJlBeVoqjhw8KYlaWVlh+70rY2dv3aE59bGxtMXXGTEGsvk6Ci+eFNYExUdGC45Lioh6tlSAylNKSYsGxnb09HnjoIbi5uZkoIyIiGsxOnz6tdyw0tHs9MgoKCgSNUO8UHBzcrbnuprP5cnNz9Y7dSV8jMQBam7r1lr58S0tLIZPJDHov6t/YnIuIBhW1Wo1d27diWnwMXnr+Gbz2yi8xKWY0ls6djs8++gCVFeU6r7t+TVhMCxkZatBdXImIiIgMTalUouCm8IOEkJEjBceTp0yHhYWF5lilUuHo4UNQq9Xdute5M6eQf1P44YaPrx+mz5rTzay7xsrKCjNmzxXEZDIpzp0+oTkWiUQYHSksqOXcyIS8Cw9SERlDx2KatZU1xkTFmCYZIiIiIiISqKqswEvPP425UxPw1h9+i0fvvw+xocF45efP4dTxo1AqlTqvu96hOVfYaDbnIiIiov4tJydHcGxvby/YEdXV1RXjx48XnJORkYGCgoJu3ae5uRmbN2+GSqUSxJcvX260BQbjxo2Dr6+vIHby5EnU1f20sUhYWBhsbGwE5yQnJxslH6Ku6NicKz4+ns8jEREREREZWVVVFZ588klER0fjlVdewdKlS+Hp6YnHH38chw8fhkKh0Hldx+Zcdza7JiIiIuqP8jo0L7CxtYXPHZ+jOzs7Y3z8BME5N65fR/7Nm926j0wqxZ4d27WerZi7cDHc3D26mXXXjImKgY+vnyB26fxZ1El+2qAkZOQo2NoKNwvJSONm32Q6HdcTjBsXx5oAEREZRV5eHjIyMnSOWVlZISYmplvzlZSU6B0LDAzs1lx34+/v36M8unpeQEBAt3PqTGf5lpaWGvRe1L+xORcRDRqZGelYuWQ+fvbEIygvE/4wu3rpIl7/7asYHzESq5ctxIavv0R9/U8PaN7IvCY4P2x0RJ/kTERERNRTktoatMmFjajc3ITFLUcnJ4wbLyyoFRbcRNb1zC7f52ZeLs6fOSWI2draYfGyFYKddAxtxKhQhIwYJYhlpCYLmq2GRYyByOynt7UKhQLZN7r+tREZUsdimrevH8zM+LELEREREZEpyeVyfPz+/2Hq+Ghs3vCtYKyhoR7ff/MV7r9nMeJGh+APv34ZVy5e0DS0rquToLJcuOEHawdERETU3xUXCz+n9PDwgEgkEsSmTZsGsVgsiO3du1dvw9KOVCoVtm7diqamJkE8MTER4eHhPci6a0QiERYvXiz4ehQKBfbt26d5DWdhYYHoaOHGHikpKVpNxIj6QmtrKyorKwUxQz+4TEREREREP2lvb8d//vMfjBw5Ep9//rlgA8uGhgZ8+eWXmDt3Lnx9fbFu3TqcPXtW836xsbERhYWFgvnYnIuIiIj6u47PLru7e2g9uzwpMRHiDptaHDywX2/D0o5UKhX27d6BxsYGQTwuPgGh4aN7kHXXiEQizJ63QPD1KJVKHDl0UPM6z9zcHKPHCF+zXUtP63K9g8iQ2traUFVZIYj5G7g5CBER0W2fffaZ3rFp06ZpbWp2N501mfL09OzWXHfT2Xxdbc7VX/Jlc66hhatEiWjAq6uT4Hevvoj50yZqNY7oSKVS4czJ4/jVL57H2FFBeOz++7Bj62akpQp3Sg3nAhsiIiLq5+ztHbSaY509fVLwUBEAjE+YBAcHR0HsxNEktLa23vUe9fV12Ldrh2BOMzMzLF6+Ag6Ojp1caRgz5syFpYWl5litVuP44QOah6Ls7R0QPDxEcE1mOne7IdMoLS4SHPv66e+MT0RERERExnf8yGHMSYzHW3/4LZo7NI7oqLqqCl9+8j8smzcDk2JG4y9v/BF7ftgmOMfKygrBISOMmTIRERFRrzk7OwuO8/PztRYX29jYYObMmYJYdXU1zp4926V7JCUloaCgQBAbPny41pzG4O3tjfj4eEEsJycHN27c0ByPHTtWMN7U1IScnByj50bUUXFxsaDGZmFhAR8fHxNmREREREQ0eCUlJSE6OhovvvgiGhsbOz23qqoK77//PiZPnozg4GD8+te/xqZNmwTnmJubIywszJgpExEREfWas7OL4Li4qBD5N28KYmKxGNNnCD+/l9TW4nwXawInjh1DYUG+IOYfEIgp041fE/AY5onYOGFNoONG5ZHRMYJxmUyKvJxso+dG1FF5WanWuhsfX18TZkRERINVVlYWdu7cqXd89erV3Z6zpqZG75i7u3u35+vMsGHDepTHnaqrq/WOGTpfDw+PHuVBgw+bcxHRgKVUKvHNF59iyrgofPXZxzp3Ou3Y2f1O7e3tOHxgH1546lGkXLksGAtjcy4iIqJ+QaVSobysFLnZWbiWnorc7Cw03eXhmaHCxtZWZ7EpJ+uGIGZtbY3ps+YIYs3NTTiWdFDvTvHt7e1IvnIJm779Gm1twiZeU6bNhH9A3+zq7eTkjITJUwSxqsoKZNzRWHV0ZIxgvLKiHDXVVX2RHpFGW1sbqqoqBTFffzbnIiIiIiIyhYL8m3j8gZV46L5lOh+4tLa27vT64qJCfPCff+C3L/9CEB8xKhSWlpZ6riIiIqK+JJVKkZubi4yMDKSkpKC0tLTLO7wPdhMnToRYLBbE9u7dq7VLfFxcnFaToBMnTqCsrEzv3JWVldi6datWEy9HR0fce++9gt3rjWnmzJlwcHAQxPbv3w+5XA7g1q6lfn5+gvGrV6/2SW5EdyoqEm7q4ePjAwsLCxNlQ0REREQ0OOXn52PFihWYM2cOrl+/rjV+t5pAUVER/va3v+Hpp58WxENDQ+96LREREfUNqVSKvLxcZF7LQFpqCkpLSlgT+NH4CRO01k4eOnhAqyYwNjYWPr7Cz83PnjmN0pISvXNXV1Vh5w/bce7sGUHc3t4Bi5be02c1gYmJU3VuVN7W1gYAcHVz19pQOSONm31T3ystKRYce3n78DkjIiIyOKVSid///vdar/dui4iIwJQpU3SOdaaurk7vmJOTU7fn60xn89XX13dpjs7OM3S+HTfJ62oeNPjwaQ8iGpAunD2DP/z6JWRmpOsc9/MPwB/ffhez5y3EqeNHsXPbFhzctxvS5uYuzR82eowh0yUiIqJuksvluJaeiiuXLqKhXvvNvb29A7y8feAXEIjREWNgY2trgixNb8KkRNzIvIampp8alh0/chiBwcMFDweNDA1D8PARyL+Zq4llZqRD2izFlOkzYGNjC6VSgYryclRWlONG5jVIpdqvm0aFhmNc/ATjflEdjIufgMyMNNTW/tT5/Nyp4wgZFQo7O3sEBg+Hnb294HXetbRUTOvQkIzImDrudGNubg4vb59OriAiIiIiIkOTSaV4719/w8fv/5+mMUNHK+9/CL/54xtQtCuw64et2Lltc5cfymTdgIiIyPTKy8tx7tw5ZGRkaG0+YW5uDk9PT/j6+mL06NEICgqCSCQyUaamY29vj5kzZ2Lfvn2aWFVVFS5cuIBJkyZpYmZmZli8eDE+/fRTzWebCoUCX3zxBRYuXIiAgABYW1ujtrYW5eXlyM/PR3a2duNTc3NzrF69GnZ2dsb/4n5kbW2NefPmYevWrZpYY2Mjjh8/jrlz5wIAYmNjUXLHoqKcnBw0NTVpNfUiMqaOzbkCAgJMlAkRERER0eAjk8nw7rvv4m9/+5umMUNHDz/8MN59910olUps2rQJGzdu7HLz5sjISEOmS0RERD1QWVGB8+fP4fq1azprAh7DPOHj64PQ0DAEBQcPyZqAra0tps+YiQP79mpitTU1OH/uHCYnJmpiIpEICxYuxBefCWsC333zNebMmw//H2sCdRIJysvLUVRYgBwdNQEzMzMsWX4v7Oztjf/F/cjKygozZs/Frh9+qgk0NzfhzMnjmDlnHgAgMjpG0BipID8PjQ0NcDRwYwaizpR1aM7lz42+icjAlEolampq7n7iICWVSiGTyQAArq6uMDc3N/g97OzsYN+Hr3N64qOPPkJaWpre8ddee61H8zY2NuodM/Tvibm5OcRiMVpbW7XGGhoaujSHvnxtbW0N/r3R2fMwXc2XBgc25yKiAefb9Z/jNy+u0zlmLRbjhRdfwbPrXoTNj53fZ82dj1lz56NFJsORQwewc/sWHD10QG8hzsHBEb5880tERNQnJLU1qK6qglzeBrm8HXJ5G2RSKW5kXkNra4ve65qbm5Cbk4XcnCycPnEUYaMjEBMbB08v7z7M3vSsra0xbeZs7Nm5XRNramrEyaNJmLNgkSYmEokwc+48fPVZgWCnoMKCmyhcf7NL93Jzc8fchYv7vHBpbm6OWfMWYPOGbzQxuVyO08eOYN7iZTAzM0N4RCQuXzinGc+6noHJ02Zw93HqM8WFBYJjTy9v7nRDRERERNSH6uvrsHLxfFy/pntDj+ixsXjzr//CuPHxmthzP38Rz/38ReTlZGPHts3YuW0Lbubm6L1HeASbcxEREfWF9vZ2FBUVQSqVoq2tDXK5HG1tbSgpKcHNm/o/z1YqlSgrK0NZWRkuXboEDw8PxMfHIzo6GlZWVn34FZheXFwcrl69ioqKCk3s6NGjGDVqFNzd3TUxHx8fjB8/HhcvXtTEFAoFdu3a1eV7LViwAL6+voZJvBsiIiKQnJyMvLw8Tez8+fOIjo6Gp6cnIiIicODAAU3TVpVKhZSUlB7tEEvUE3K5HKWlpYJYYGCgibIhIiIiIhpcGhoaMGPGDCQnJ+scj42NxXvvvSdoUv3KK6/glVdeQXZ2Nr7//nts3LgRN27c0HuPqKgog+dNRERE2trb21FSXAyptBltbXLI5XLI29pQVlaK/LvUBCrKy1BRXoarly/Dzd0d4+LGIzIqSrDB9VAQM3YsUpKTUVFepomdPnkCo0JD4eHhoYl5enkhLj4ely5c0MQUCgX2793T5XtNnzUHPn5+hkm8G0aMCtXaqDzl6mVEREbB08sbI0PDcezwIbTJb60VVavVuJaRhomTWROgvtHe3o7yDjUBvwCuTyYiw6qpqcHUqVNNncag9sILL2DdOt39K/qD8+fP44MPPtA7vmLFCsTFxfVobl2Nsm6ztbXt0ZydsbGx0XnPlhb964m7ct7t3iKG1Nmcnf2+0eDDlcpENKCUFhfjT795RefY4uUr8Ps33oGfnp0mbWxtsXj5CixevgKNDQ04uG83dmzbjNPHj0GpVGrOW7hs+ZDslk9ERNSXykpKcO7MKRTk59395LtQKBTISEtFRloq3N09YGdvD2trMaytrWFurOZMP+4YY5ipejeXruvTUpMxMiwcQcHDNTFnZxcsWLwM+3bvELz26YqAwCDMX7TUZMVK/4BAjB4TidSUVE0s+0YmRkdGwT8wGOFjogTNudpaW3EzNxujwkabIl0agnKzswTHfv6635MQEREREZFx/Ovdt3U25nJz98Bv//QmVj3wMMzMzHReGzJyFF7+ze/x0q9/h2vpqdixdQt2bd+CstISzTnm5uaYt2iJ0fInIiIioK2tDZcuXcLZs2c1u532RnV1Nfbu3YukpCR4enpCLBZDLL5VOzDG8wC9/azf0HN1nEOhUGDHjh14/PHHBa+L5syZg+rqauTn53drfmtra8ycORPjxo3rda49IRKJsHDhQvzvf//TbEqiUqmwZ88ePP7447C2ttY08LotOTkZiYmJfB6E+kRubq5gwxwzMzP4c6NAIiIiIiKDeOutt3Q25nJ3d8df/vIXPPbYYzA3N9d57ahRo/DHP/4Rf/jDH5CWloaNGzfi+++/R2FhoeYckUiEe+65x2j5ExER0a3m9lcuX8aF8+cgk0p7PV9tTQ0OHdiP48eOYtgwT4jF1rAeQjWBjmsblEol9uzahbWPPSaoCUyfMRPVVVUo6G5NwMoaE6dMQ0xsz5o99JaujcrVajWSDu7H/Q8/CisrK4SNjkBqylXNNdfSUpEwiTUB6huF+TfRrmjXHItEIvhzPQERERlQcXExXnzxRb1rQn18fPC73/2ux/O3t7frHdP3OVtvWOhZ83tnjb0z+vLty1w7y4MGJzbnMiF7a0tTpwAAaG7jX3rq36StP32P/u0vb6GtrU0wPipsNH73578iYfJUrfP1Mbe2xcJ7VmPhPashqanBgb07cPXiBXh6e+PZn7+sc44bxQ29/EoMw3OYvalT6FeaWvrHv2EONv3j33QH2/6x63NX/h4OJXbi/vH9QWQqLTIZjhw6gMrKClhZWkIkEqGysuLuF97B1tYO9vb2aKiv1+xooktNTTVqaqp7m/KgkHRgHx5/5meCgtqosHDYOzhg1/atkEqb7zpHYNBwJExKhMswbwCm/fc9btI03Lh+Q/Ba8HjSIdy/9gk4u7jCLyAQJUU/PSSVmZbK5lxDjKm+PyU1Nais+unfHUsLM4SMHGWSXEg/vj4dXBpbu/aBOxERDXyso1Bnbr/GKykuxDdffCoYs7CwwEOPP4PnX/oVHJ2c0SJXArh7o+rgURF48bUI/OI3f0Ty5Ys4uGcnqqsqsGL1g/D0DdRdOyiqN8SX02v8jJqIiAaa9PR0nD17FnK5HLa2tqitre1WUy4zMzO4ublBpVJBIpHoXbzS1taGoqIiQ6U9oJWUlODq1auCnVItLS3x0EMPYf/+/bh8+fJd57CxsUFCQgImTJgAsVhszHTvys3NDYmJiTh+/LgmVlxcjOTkZMTGxiI2NlawWFsikaCwsBBBQUEGz6W/vGfoL++h+gtT/rkkp6VDrrj1HsTKwhxBQUEm/ztDQv3l7y0ZhpR/nkRERENGcXEx3n//fUHM3NwcL7zwAv70pz/BxcWlS/OIRCJER0cjOjoaf/nLX3Du3Dls3boVZWVlWLt2LcLDw3Vex9eRQg0t/eP5DT4XJOTjYmPqFAD0n+8PIuofMq9l4Py585DL22BjYwuJpBYt3agJiEQiuLq5AQAktbV6awLytjaUFLMmAADlZaW4euUK4saP18QsLS2x+v4HkHT4EK5cunTXOazFYsTHT8DIyFjY2Jj254uzswsmTEzEmVPHNbGK8jKkpyYjeuw4jImOETTnamioR2FBvmCzcyJjyc0RbvTtHxAIW1tbE2VDuvC1qZCTTf9oL9LT99isCdBQ09zcjOeeew4SiUTnuIWFBf7xj3/A3r7n/Sf6ujmXpaXuZxu62uxKXxOvzhpp9RSbc9Ft/eOnJxFRF+TlZOOHTRsEseUr78fb/3q/Vz8sXd3d8cDaJ/HA2id7myIRERHpcPL4EWTdyOzRtcNDRiJuQgL8/AMgEomgVqtRJ6lFRVkZ8vNvIifrut6O30NdQ0M9JLU1cPcYJoj7+PrhgUcew9nTJ5Cfl4eWFpmmQGlnZw9PL28M8/JCyIiR8PL2AdA/Hl6xtbXDxCnTcTzpoCZWXydB6tXLGBefgNGR0YLmXMVFBWior4OTc9ceuCLqqZu52YJje3sHePv4migbIiIiIqKh5/1/vCsocFtaWWHrvqMIi4js8ZxmZmYYF5+AcfEJhkiRiIiIOmhsbMS2bds0x7W1tV2+1s7ODhMmTEBcXJzmofbW1laUl5ejpKQEqampqKmpMXjOg0VOTo6gORdw60HKxYsXw9/fH+fPn0dtbS3kcjmAW6+LPD094e3tDT8/P0RERMDa2toUqeuUmJiItLQ0wUOohw8fRkREBPz8/ODh4YHq6p82V7h69apRmnMR3UmpVCI3N1cQ07ewn4iIiIiIuufNN98UbO5oYWGBCxcuIDY2tsdzikQiTJo0CZMmTTJEikRERNRBc3Mzdv7wwx0NtbpeE7C1s0Nc3HjE3lETaGtrQ0V5OUpLS5GRnoaaam7srU9ebo6gORdwqyYwb/4C+Pn54cL5C6itrUH7HTUBj2HD4OXtDR8fX4SPHg2xWNxvmtrETUjA9WvpkEh++h46dfwYQsMjbq2BGOaJqqpKzVhGagqbc5HRqVQq5OXkCGKjQkNNlA0REQ02crkcL7zwAnI6/Ky506uvvopx48b16j4ikahX13eXSqXqVR631xl3pK+Jb290Nmdf/76RabE5FxENGP/3tz8Lftja2Njild+/YZQulkRERGQ4VRUVnY6LxTZwcnaGtbU1LC2tYGVtBUdHJ4RHjIGbu4fg3Fu73rjD1c0doyOjIG2ejfTUFKQmX0Fzc5Mxv4wBx9bWTm9jKkcnJ8xftBTArQ8IWltbAbUaNv18d44x0WNxPSMNlRXlmtj1jDTEjp+AkJGhsBaL0dbaqhnLTE/FxCnTTZApDSUdm3ONGDmKH64REREREfWR3Kwb2Ln1e0FszcOP96oxFxERERlfxV3qBgDg4eEBsVgMa2trzX8BAQEYM2aM1jMCYrEYwcHBCA4ORmJiIvLz83Hx4kVkZWUZ5cG7gczf31/vWHR0NKKjowHc2mW0tbUVYrG4Xz+TYWFhgUWLFuGbb77RxFpaWpCVlYWoqCjExsbi4MGfNv3IzMzEggULYGNjY4p0aYgoLCgQ1KsAIJQLcYiIiIiIei07OxtffvmlIPb000/3qjEXERERGV9lZcVdP6t39/CAtbUY1tZWsLKygrVYDD8/P4yOGANLS0vBudbW1ggMCkJgUBAmTpqEwoICXLl8CdmsCWjx9dNfE4gYE4mIMbeerRhINYFZ8xZgy8ZvNbG2tlbk5WQhIjIaEVHRqEo6pBnLzclCi0zW79dI0MBWUlyE1tYWQYzNuYiIyBBUKhV+9atf4dy5c3rPWbNmDR599NFe36vja+47KRSGb9SqVCq7nUfH8+5s4H+bMXLtbM6u5kuDQ/99p0REdIeM1GQc3LNTEHvkyWfhMczTRBkRERFRV+nrZG1v74C4CRMRFTO2x29E7eztkTA5EeMTJqKkuAiNDfVoa21Dm7wNba2tUOl5o24I3W6+Y8BmPR3vrVaroVapoFAqoFAoYWtri+ixsV36fRWJRANmEYpIJMLkaTOxfdN3mlidpBaS2hq4uXsgNHwM0pIva8YKbuaxORcZVXNTo6BZHACMCA0zUTZEREREREPPf/76luBzB1tbOzz3y1dMmBERERF1hb66AQCEhYVh6tSp8PHx6dHcIpEIw4cPx/Dhw9HQ0ICioiK0tLSgra0Nra2tOh/OM5SeNO03VKN/XfOo1WooFAooFAqo1Wr4+/tj/PjxXZrPwsIC9vb2BsnN2EJCQjBixAjk5uZqYpmZmYiKikJUVBSSkpI0D3YqFArk5+dj9OjRpkqXhoCsrBuCYz8/Pzg6OpooGyIiIiKiweMPf/iDYOGejY0Nfv/735swIyIiIuqKzhpmjRg5EolTpsLH17dHc4tEIgQFByMoOBgNDQ0oLSlGS0vrrXpAayva5EO0JqBSwdfPH3GDsCYQEBiE4SEjcTMvRxPLun4dEZHRCI+IxKnjRzUNFJRKJQrybyI8Yoyp0qUhIKdDTcDLyxvOzs6mSYaIhqTAQn+YKwdnyxiluQKFgcVa8W3btsHDw8Pg97OzszP4nL3x+uuvY//+/XrHFy5ciD/96U8GuVdna1Db29sNco+uzNnb5lx9mevtPGjoGJz/0hLRoPPvv7wpOHZydsaTz//CRNkQERFRb3j7+GL8hIkIDhlhsJ1VzM3NERgUbJC5qH/z8fOHvb0DmpubNLGcrOtwc/dAcEiIoDnXnecQGcPN3BzBsbW1Nfz8A0yUDRERERHR0JKWfAWH9+8RxB595nm4uRv+oQsiIiIyvkWLFiEwMBDDhg0z2JxOTk6IjIw02HzUf40ZM0bQnCs3NxdtbW2ws7ODn58fCgsLNWONjY2mSJGGCLVajZzsbEEsLIybehARERER9dbVq1exefNmQewXv/gFvL29TZQRERERdZWu5lzzFiyEv78/hnl6Guw+Tk5OcHJyMth81H+Fho8WNOcqKsxHa2srbGxs4OPrh6LCAs2YtLnZBBnSUKFWq5GXI6wJjGJNgIj6mLnSApaKodUyxsPDA54GfB3ZH/3tb3/Dpk2b9I5PmzYNf/vb32BmZmaQ+9na2uodk8lkBrnHnaRSqc54Vxuk2draolnH67y+zBXofw3dyLgM87eNiMiILp49jdMnjgpiTz7/Szg6OZsmISIiIuqWjgW1ceMnYGRomMEac9HQIhKJEDJKWLDIy84CANjYCj/QaGtthUql6rPcaOjJy8kSHAcNHwFzc3MTZUNERERENLT8+13hph7OLi54/NkXTJQNERERdUfHuoGbmxvGjx9v0MZcNLSEhoYKPptVKBTI/rFBkr29veDczh6cJOqt0pISNDcJN49hcy4iIiIiot77/e9/Lzh2dnbGr371KxNlQ0RERN3RsSbg5OyMcXFxBm3MRUNLyMhRgpqAUqnEzR8bJNnaCWsCMhlrAmQ8lRXlaGoSbgoTGhpqomyIiGiw+OCDD/D555/rHY+Pj8d7770HS0tLg93TxcVF75iuJli9IZfL0d7ernPM2dm5S3PoO08ul0Mul/cwM906e8akq/nS4MDmXETU7+3btV0rVldbo/cHLxEREfUvuna7IeqNkaHCRQyS2hpIamth06FLu1qtRmtrS1+mRkNI8uWLKCkqFMRCRrKYRkRERETUFyQSCc6ePC6IiW1sUVSQb5qEiIiIqFtYNyBDs7GxwfDhwwWx69evA9De4dUYO6USAbceSt63d48g5u7hAXd3dxNlREREREQ0ODQ0NODAgQOCmK2tLXJzc02UEREREfWGSCQydQo0wFlbWyMoOEQQy7m92beNjSDe0sKaABmHTCrFwb27BTEXVze4e3iYKCMiIhoM1q9fj//+9796x2NiYvDRRx/B2traoPftrMmURCIx6L1qa2v1jjk5OXVpjs7yraur625KneosXzbnGlrYnIuI+j2PYV5asS8+eh8P3bMAxUUFfZ8QERER9QoLatRbXj6+EHconNXXSWBjY6t1bnVlRV+lRUPI1UsXcPr4EUHM0tIS/kHBJsqIiIiIiGhosbe3h529gyBWUVaK1YtnY/3HH7DhBxER0QDDugEZQsedyG8/IGlnZyeIV1RU8PUiGVxzczO+++Zr1FRXC+JhYeEmyoiIiIiIaPCwtbWFo6OjIFZWVoZJkybhH//4B1QqlYkyIyIioq7o+HksawJkCCEjRwqO6yS3agK2tsKaQHVlJWsCZHAyqRRbNn6LmhphTWBUaBj/jSMioh7btGkT/vKXv+gdDw8Px6effqr1DIQheHp66h2rqakx6L06m8/LS7uniC6d5VvdoWbfW5015+osDxp82JyLiPq9J55bhykzZmvFU65cwvLZU7Bv13YTZEVERERd1bGUwQ+bqbdEIhGsrcWCmFqthrm5OZycXQTxU8eOQKFQ9GV6NMhdvXQBZ04c1YpPnjYTVlZWJsiIiIiIiGjosbKywr8/+lKrQVd7ezv+8vpreObhVaitMWyBnYiIiAyHC3HIGMRi7boBALi7uwvipaWlSE5O7rO8aPBramrCd998jdoODxG7uLoiPiHBRFkREREREQ0elpaW2Lx5s1aDLoVCgVdffRULFy5EZWWlibIjIiKiu2FjJDIGXWsJAMDVzU0Qr6ysQFrK1T7LiwY/aXMzNm/4Rqsxl5OTM8bFsyZAREQ9s2PHDrz++ut6x0eMGIEvvvhC6/MxQ/H19dU7VlZWZtB7dTafn59fl+boLN/y8vJu59QZQ+RLgwObcxFRvye2scEn327Br/74FiwsLARjzU2NePGZx/D7l9dBJpOaKEMiIiLqDBfZkDGYmQnfzqp/3AExOjZOEK+T1CLnRmaf5UWD25WL5/U25oqMiTVBRkREREREQ9e0WXOw4/BJna/FTxw5hGWzJuPsyWMmyIyIiIjuhnUDMoaOdQPVj3WD0NBQODs7C8ZOnDjBBWFkEE1NTdjw7Tc6G3M9+PAjWk3jiIiIiIioZ+bOnYuUlBQk6GiAe/DgQURFReHgwYMmyIyIiIi6izUBMgStmsCPn/kHh4zQ2uz7/JnTrAmQQUibm7Fl47eorRXWBJycXbDygYdgY2NjosyIiGggO3DgAF577TXNMw4dBQYG4ssvv4Srq6vRcvD399c7VlhYaNB7FRUV9SiPOwUEBOgdKygo6G5KndKXr6WlJby9vQ16L+rf2JyLiAYEMzMzPPHcz7Fx9yEEBAVrjW/Z8DXunTcdJcWG/QFPRERERP1Tx8KsGrcKZpExsfD0En6wUVSQ32d50eCkUqlw7tRxnQv7J0+bidjxE/o+KSIiIiIiQkDQcGzYeRBPvfBLrbHqqko8vuYevP+vv/Z9YkRERETU57TqBj8utLG0tMSiRYsEYw0NDajp0EyJqLuqq6vx3Tdf623MZaxdi4mIiIiIhqrg4GCcPHkSr732mtZ7wKqqKsyfPx9/+tOfTJQdERER6cUNO8gIOqsJzJ63QDDW3NyEmuqqPsuNBidJbQ02b/hGZ2OuVfc/BCcnZ9MkRkREA9rRo0fxyiuvQKlU6hz39fXF+vXrMWzYMKPm4efnB3t7e51jOTk5Br1Xdna23rHQ0NAuzdHZeX2Vb0hICCwsLAx6L+rf2JyLiAaUqJhx+OHwKSy9d7XW2M3cbLz07OPsZE5ERNTPdPzZzIIaGUSHb6Pb32dmZmYYHRktGCspLuRrROqx5uYm7NiyEZcvnNMaS5w+i425iIiIiIhMzMrKCq/87g188f0PcPcQPoCgVqvx3t/fwdFD+02UHREREenCugEZg76FOAAwYsQIODk5Ccbz87mxB/VcWmoK1n/+GSS1tYK4q5sbG3MRERERERmRpaUl3n77bSQlJcHb21tr/M0338QPP/xggsyIiIhIHz7DTcagVVu64/ssKHg4nJxdBMNFhYV9kRYNUpkZ6fhu/ReQSIQ1gduNuRw71KCIiIi64syZM/jFL36B9vZ2nePDhg3D+vXr4ePjY/RcRCIRwsPDdY6Vl5dDIpEY7F6ZmZk6476+vlrPdegzatQoWFpadmv+npBIJKioqNA5Nnr0aIPdhwYGNuciogHH3t4Bf3//E/z1vx/D1k7YhTP16mVcuXjeRJkRERGRTlxkQ0bQ2SIbv4BAwZhMKkVdh8URRF1RVHAT33/9BUqLi7TGEqfPwti4eBNkRUREREREukyeNhO7jp7FlBmztca+/Oh9E2RERERE+rA5FxlDZ3UDkUiE4OBgwTibc1FPyOVy7N61E3t27dJ6SNrVzQ0PPPQwG3MREREREfWBmTNnIi0tDYsXL9Ya++c//2mCjIiIiEgf1gTIKDqpCQBAQIf1BMWFBcbOiAah9vZ2HNq3B/v37IS8XS4Yc3ZxZWMuIiLqsUuXLuH555+HXC7XOe7m5ob169cjICCgz3IaO3as3rHLly8b5B4SiQR5eXndvn9HVlZWiIiI0DmWm5uLurq6HuXX0aVLl/SOdSdfGhzYnIuIBqzlK9dgx+GT8PbxE8S/+/ITE2VERERERH1FBP0FNSdnFzg4CBc+lBRztxvqOoVCgXOnT2DXts1okckEYyIzM0ybPZeNuYiIiIiI+iE3dw988u0WPP/SrwXxi+dOI+v6NRNlRURERER9obPmXAC0mnMVFBRonUOkj1qtRlVlJdZ/8TnSU1O1xj29vPDgw4+wMRcRERERUR9yd3fHrl278OabbwriZ86cQUpKimmSIiIiorticy4yhLvVBPwDgwTHJUWFUKlUxk6LBgm1Wo2a6ips+OoLpKelaI17eAzDyjUPsjEXERH1SGpqKp555hm0tLToHHd2dsYXX3yBkJCQPs1r4sSJesfOnDljkHucO3dO73MakyZN6tZcCQkJOuNqtRrnzp3rdm66dPZ1d/b7RYOThakTICLqjcDgEKx96jm8+8bvNLGDe3biRmYGwkaPMWFmREREdJvWG2YW1MgAtAqzd3yfiUQi+AUE4vq1dE2spKgAUWPH9VV61A/JZFJcOncW+bnZkMvbYC22gY2NDazFNjA3N0eLTIqWlha0yKR6dx5wcHDE/CXL4eXj28fZExERERFRV5mZmeHZX7yCTd98iZrqKk38P+++hfe/+A7m5uYmzI6IiIgA7boBF+KQIdxtIU5QUJDguKWlBRUVFfD29jZ2atRPqdVq5Obm4PzZc6isrICVlRVsbGwgFtvAxkYMuVwOmUwGqVSKFplM78Kt2Lg4zJ4zFxYWfBSTiIiIiKiviUQi/OY3v8H//vc/lJeXa+K/+93vsGvXLtYEiIiI+gHWBMgY7tqcKyBQcNwmb0NlRTm8+Qz4kKVWq5F/Mw+XL5xDVUUFLCwtb9UEfqwLtLfLIZP+uJ6gRQalUqlznqjosZg+ey4sLS37+CsgIqLB4Pr163jqqacglUp1jjs4OODzzz9HWFhYH2cGjBs3Dra2tpDJZFpjSUlJ+OMf/9jrz9r279+vMy4SiZCYmNituaZMmYKPPvpI59iBAwewcOHCbud3J6VSiaSkJJ1jwcHB8Pf379X8NPCYmToBIqLeWrHmQYjFNppjpVKJf7z1R1y9dIG7nBIREfUDLKiRMdytoObrHyA4LirIR6uejvI0uKnValy9dAFff/o/pCVfRlNTI9ra2tDYUI/KinIUFdxEfl4OKsrL0FBfp7cxV3DISKx55HE25iIiIiIiGgCsrKyw8sG1gtipY0fw/ddfoL5OYqKsiIiI6DbWDcgY7lY3cHJygqurqyB27do1o+dF/VNdXR2+++YbbPn+exQXFULe1obmpiZUV1WhuKgQ2VlZKMjPR1VlJaTNzTobc1lZW+Oee+/F/AUL2ZiLiIiIiMiELC0t8cwzzwhihw4dwocffoja2loTZUVERES3cW0fGcPdagL2Dg5wc3MXxLJvXDd6XtQ/NTTUY+v33+GHLbdqAm3yNkilzaipqUZJcRFyc7JQWJCP6uoqNDc36WzMZWVphYVLlmPOgkVszEVERD2Sl5eHxx9/HA0NDTrHbW1t8emnn2LMmDF9nNkt1tbWmD17ts6xmpoaHDt2rFfz19TU4MSJEzrHxo8fD09Pz27NN27cOPj4+OgcO3bsWK8/F+xsjsWLF/dqbhqY2JyLiAY8J2cXLFh6jyBWVlaCMyeOImn/HigUChNlRkRERAAX2ZBx3HW3m6BgwTnt7e1IT7naJ7lR/6FWq3H25DGcOXEU7e3tPZpDZGaGxOmzsGj5vRDb2Nz9AiIiIiIi6hdWP/So4Li9XY7sG5nY/N1XKCkuNE1SREREBIB1AzKOu9UNAGDkyJGC40uXLqG1tdWoeVH/U1dXh2+//gpFhQU9nsPLyxuPP/kUwkdHGC4xIiIiIiLqsaeeekpwrFAokJ6ejs8++ww3b940UVZERESkC2sCZAhmZsKl8bpqAkHDQwTHaclX0cLNvoechoZ6bP7um17VBIYN88RDjz2B8AjTNEshIqKBr7i4GI8++igkEt2by4rFYnz88ccYO3ZsH2cmtHz5cr1jn332Wa/m/vrrryGXy7t9X31EIhGWLl2qc0wul+Prr7/u9px30vf1dnZfGtzYnIuIBoVxEyYKjqsqKgAANzIz8MPmDZBKm02RFhEREREZyV13u7F3wIjQMEEsNflyjxs00cB0+fxZXL10ocfXD/P0wn1rHsLYuHg+DEBERERENMB4+/rBx89fEKuqKEdbayt2bPkeGanJJsqMiIiIiIyhK8254uOFn/W2tbXh8uXLRs+N+o/GxkZs/O5bNDU29uh6SysrxCck4JHHHoOrq6uBsyMiIiIiop7y8fFBSIiw+UJZWRlaWlrw7bff4uLFiybKjIiIiLQ27ACfx6Xe6/h9pKsmEDMuTlATkLfLkXr1itFzo/6juakJW7/fgMbGhh5db2Vphdi4eKx5+FG4uLoZODsiIhoqKioqsHbtWlRVVekct7Kywocffoj4+Pg+zkzb5MmTMWrUKJ1jycnJ2LdvX4/mLSkpwVdffaVzzN3dHUuWLOnRvA888AAsLS11jq1fvx6lpaU9mnffvn1ITtb9jPHMmTMREBDQo3lpYLMwdQJERIYQGRMrOG5qbEBLSwtsbGxQUVaKLd9+hYXL78UwTy8TZUhERDR0aRXU2OCGDKHD95FKpdI6JXZ8AnJuXNcct8hkuH4tDVEx44yeHpleypVLOH/mpCAmEokQNnoMRoWPRru8HS0tMrS2tkKlVMLG1hY2Nra3/m9rB1tbW4htbEyUPRERERERGULU2HEoKynWHFdVVmB0ZDTUKhWOHT6A2poaTJkxS2tHVSIiIjIu1g3IGDp+H+mqG7i5uSE8PByZmZma2Pnz55GQkAALCz5GN9hJpVJs/O5b1NfVCeKOTk5InDIV9g72aG1pQUtLK9paW2FhaQk7u1t1AztbO9ja2cHOzo7fK0RERERE/VR8fDzy8vI0x2VlZQBuvT/ct28fqqurMX/+fJibm5sqRSIioiFJq2kSawJkAF2pCTg7u2BU2GhkXb+miSVfuYRx8RP0NnGgwaNFJsO2TRtQXycRxB0cHJEwOREOjk5okcnQ2tqCtrY2WFpY3lo/YGsLW1tb2P5YF2BNgIiIeqO2thaPPvqo3iZRlpaWeO+99zB58uQ+zky/p59+Gq+88orOsTfeeAMxMTHw8fHp8nzt7e145ZVX0NraqnP80UcfhZWVVY9y9fT0xD333IPNmzdrjbW2tuKVV17B119/3a3XfmVlZXjjjTf0jj/zzDM9ypUGPr4qJKIBS6VS4fC+3fj+my9QXloKS0tLtLe3a8arKsoRGDwcANDU1IhtG7/BvMXLMXzESFOlTERENCRxkQ0ZRYfvK10LqYd5eiEgaDiKCm5qYlcvXsCYqLFceD3IJV++iNPHj2jFZ81biPAxUSbIiIiIiIiI+kpleRnWf/IBThw5DKVSKRyrKBccpyVfRl1tDRYuv7fHxX0iIiLqPtYNyBg6fl/pqwMkJiYKmnM1NzcjNTUV48ZxY4/BrKmpCd9v+A61NTWC+DBPTzz48COw4WYdREREREQDUnl5Of79739j7969UCgUgrHbzbluu3TpEmpqarBmzRpYW1v3ZZpERERDmlZzLiIDUKmFzbj01QTiEyYKmnPJZFJcS09FTGycUfMj05I2N2P75o2oqakWxN3dPbDqgYdhY2trosyIiGgoaWxsxOOPP478/Hyd4xYWFvjXv/6F6dOn921id7F48WJ8++23SElJ0Rqrr6/H448/jvXr18PLy+uuc7W1teHll19GcnKyzvGAgACsXbu2V/n+4he/wL59+9Dc3Kw1dvXqVbz00kv45z//2aVnhCsqKvDYY4+hvr5e5/jSpUsRHR3dq3xp4GJzLiIakOrrJHj5uSdw+sRRvec01At3ulQoFDiwewdWPbQW7h7DjJ0iERER/YgFNTKGjg9T6dvRMDZ+gqA5V1NjA4oK8hE0PMSo+ZFpqNVqnDt1HFcuntcamzZrLhtzERERERENcgf37MRvfvkzyKTaRXYAkNRUQ6lQwPyOXS2Liwpw5OBezF+8nI1BiIiI+gjrBmQMXa0b+Pj4YPjw4bh586faweXLl9mcaxCrra3F9xu+Q0OHB2jd3N2x5oEH2ZiLiIiIiGiA2rFjBx555BE0NTXpHK+urkZ7ezssLS01sfz8fOzYsQOrVq1iTYCIiMhE+DOYDKHjZm36agLDPL0QFByCgvw8TSwt+Sqbcw1idXUSbNu0UWttsbOLK+5b8yAbcxERUZ95+umncePGDb3j8+fPh5mZGZKSkgx+b7FYjMTExB5dKxKJ8MYbb2DlypWQy+Va4/n5+bjnnnvw2muvYfHixXpf36ekpOCNN94QbJ7W8T6vv/56rzfWdXd3x6uvvoo//elPOscPHTqE1atX4/XXX9fbWEutVmP37t34y1/+AolEovMcV1dX/OpXv+pVrjSwsTkXEQ04OVnX8bNH70dRge5OobeZm5nD29cP5aUlmphSebtB16O9/mFNREREPcOCGhmCVkHNQvfbWz//QDi7uKK+7qcPRhob6o2ZGpmISqXC0UP7cT0jTWts4pTpiBrLhVVERERERIOVSqXC+/98Fx/866+dnqdUKjEiNBxFBflQKn9q3pCbdQPXAlIwJnqssVMlIiIiHVg3IEPoWDew0FM3AIBx48YJmnPV1dXpPZcGtorycny/cQNkUqkg7uTsjPsffAj29vYmyoyIiIiIiHpKpVLhz3/+s94Fd3eeFx4ejoKCAkFD5+vXr+PSpUuIj483dqpEREQEoON+HawJkCEoO27Y0UlNICpmrKA5V8eNHGjwqKqswPbN30PaYVM/R0cn3LfmAdixJkBERH0oOTm50/E9e/Zgz549Rrm3r68vjh492uPrw8LC8Jvf/AZvvvmmznGJRIJXXnkF//73vzFz5kyEhobC0dERLS0tyM/Px5kzZ5Cent7pPZ5++mlMnjy5xzneac2aNTh37hwOHDigczwzMxOrVq1CVFQUJk+ejKCgIIjFYjQ1NSErKwtHjx5FaWmp3vlFIhH++te/wsPDwyD50sDE5lxENKAcObgPrzz/lN5d7++UeS0N73/5HY4e3Ies69c08TpJLU4eOYTZCxYbM1UiIiL6kbpDRU0EFtSo97R3u9H99lYkEqG1tUUQs3dwNFpeZBoKhQIH9+zAzdwcrbFJU2dgXHyCCbIiIiIiIqK+0NzchF+98AyOHNyrc1xsY4PWlp/eFzY1NmDF6gewa/tmtLW2auInjybBy8cX7h7DjJ4zERHRUKdVN+BCHDIARYeFOJ0152q943UgADg5ORklJzKtgvx8bN2yGfK2NkHc1c0Nax54EI6OrBcREREREQ00zc3NWLt2LbZv365z3NbWFjKZTHNcV1eHxx57DN99950gfvDgQQQEBMDLy8voORMREQ11HWsCRIagVRMwN9d7blubsCZg7+BglJzItEqKirBj6ya0yYU1AWcXV9y7+n44OTmbJjEiIqIB6sEHH0RpaSk+//xzveeUlpbim2++6fbcS5YswS9/+cteZKftr3/9KyQSCS5evKj3nLS0NKSlpXV77tdffx1Tp07tTXo0CJiZOgEioq5SqVT4/MP/dqkxFwBUlpdBUluDmfMWwmOYp2Ds+rV0pCVf4Qd8REREfYA/b8kYlMoOu92Y6357K5NJBYuwAcDF1c1oeVHfqywvw5bvvtJqzCUSiTBr3kI25iIiIiIiGuTSk6/g6KF9esfd3IU7VWWkJcPLxxez5ws38FAqFTi4ZyeamxqNkicRERH9hHUDMoaOC3HMO1mIU11dLTh2d3c3Sk5kGgqFAsePH8emjRu0GnN5eXnj4bWPwtnZ2TTJERERERFRr1y5cgU7duzQO+7hIawJXL58Gb6+vli+fLkgrlQqsWXLFjQ0NBghSyIiIuoMN+wgQ9De6Ft/TaC2pkZw3PE5EhrYlEolzp85ja2bvtNqzDVsmCfWPPgInJ1dTJQdERHRwParX/0Kzz//vEFfw69evRrvvvsuzMwM2+pILBbjo48+wowZMww2p6WlJf785z9jzZo1BpuTBi425yKiAcPMzAz//vjLbl1TVJAPCwsLzF+yHFZWVoKxE0cOYePXnyM36wYf/iUiIjKmDj9nWVAjQ9AqqFlY6Dyvoa5OcGxmZg4nLrgYcORtbSi4mYe8nGwUFdxEeWkJqqsqcfJoErZs+Bo11VWC883NLbBg6QqMjow2UcZERERERNRXJk6Zjgcfe0rveMcNP4ry8wEAw0eMRNTYOMGYpLYGX336EY4nHURTIxfkEBERGUvH+jzrBmQIHesGFnrqBgBQW1srOGZzroGpqqoKmZmZyM7ORkFBAcrKypCTk4OPPvoIx48f1/qeCAwKwoOPPAI7OzsTZUxERERERL01bdo0/PKXv9Q7LpVKBcd5eXkAgFGjRmHixImCsdraWvz3v//Fnj17UF9fb+hUiYiI6EesCZAxaG303UlNoE4iERy7uLoaJScyrtqaauRk3cDN3BwUFxWiorwM+Tfz8M0Xn+LMKe2agJ9/AFY+8DDs7O1NkzAREdEg8fOf/xwffvghPD09ezWPs7Mz3nnnHbz55pudPs/RG3Z2dvjwww/x0ksvQSwW92qukJAQfPvtt1i5cqWBsqOBzjjftURERpCWcgV/evWXXT7fxsYWw0NGAgCcXVwxfc58HNq7S3BObXU19u/+Aa7u7oifmIgRo8L4IR8REZGR8WctGYJS0aGgZqZ7txvLDg1aVSolmpsa4ejkbKzUyICqKiuQkZqM7OvX0N7e3qVrrKyssPielfD1DzBydkREREREZGoqlQr/+ssb2PzdV3rP6fiQ5Z1NfCdPm4Hy0mJUV1XeMacS6SlXcS0tFaMjozAuPoHvIYmIiIyMdQMyBEXHuoG57roBAK3N3eo6bPRB/ZdcLkdGRgYuX76MsrKyLl8XFh6OpcvvMdpDvkREREREZHxqtRp/+MMf8OGHH+o9p6amRnAcGxur+fXs2bNRWFgoeC+hVCpx+fJlJCcnIyYmBlOmTIEzN34kIiIyqI7NuYgMoTs1gY7rCRrYmHXAkMvlyL6RidTkq6go73pNYMTIUCxaxpoAERGRocycORMTJkzAV199hQ0bNqC6urrL1zo6OmLlypV48skn4doHTVLNzMzwzDPPYNGiRfjkk0+wc+dOtLa2dvn6gIAArF27FqtXr4alpaURM6WBhq8siWjAMDczR2ZGWpfPf/3df8H1jt1NQ8MjUFlejtSrl7TOldTU4MDuHXB1d8f4hMkYMSoMZmZmBsmbiIhoqNMqqHGNDRmAosPOJvp2u3Fz94C12Bo1VdUwtzCHra0dCm7mIWrsuL5Ik3qgvb0dOTcykZGajMqK8m5d6+rujnmLlsHdY5iRsiMiIiIiov7EzMwMRfk3IW9r69L5I0aFYd2rv9UcW1hYYN7i5di+6VvIpFLBuSqVEhmpychMT0P4mEjETZjIJl1EREQG0rFuwOZcZAgdd0TvbMFFcHAwrl69isbGRnh4eCA3NxcqlYrPifRjVVVVuHz5MlJTU9HWxdf/wK33DAkTJ2Hq9On88yUiIiIiGuBEIhHy8vK6vJguNDQUb731lubY3Nwc9913H7788ks0NTUJzlUqlbhy5YqgSZeLi4tB8yciIqJbWBMgQ1ApVYJjc3P9NYGAwECkJV9BU1MTXN3cUJB/E0qlstOGXmRatTXVSE2+isyMdLS1db2ZhkgkQlx8AhKnzWBNgIiITC4rK8vUKRiUnZ0dfvazn+Gpp57C5cuXcfLkSdy4cQP5+floaGhAW1sbrK2tYW9vj8DAQISFhWHy5MmYOHEixGJxn+fr5+eHN998E6+++ipOnTqF8+fPIzs7G8XFxWhubkZ7eztsbGzg7OyM4cOHIyIiAtOmTUN0dDRfR5BObM5FsLfuHx37mtvaTZ0CddDQorj7SX3gRlE9AMDcOQjT5i/HiQM77nrNkjVPICxhgeba2zxCxiHUzBHpV86hsV6idV1NQwmy8zbB0dkVY2IT4B88UvMD1MfVtrdfyqBSJpGZOgUA/efPxdfDztQpkA524v7xM45oqONuN2RoarUaapWwoGZxR0GtrbUVFeWlKCspRllpCbKuXUNlZTmGeXrBY5gXdm79HmERkbDqsAsOmZZSqcS19BRcPn8W0ubmbl1rbm6BqdOmIW5CgskLpdLW/vHelq+DqDNNMrmpUwDA71MiIiLqndLqW820HnjmVSQd3AelovOahr2DE/70r8/R0GKGhpY7G3FZY+qC1Ui7egE5mWlaTR0A4Ny5i7h48QpCQiMQFTsB9o5OmjFf9/7xGTUJ9ZfXmk42LMcTEenCugEZyp3PGjXJWiFX/PRaTqH+aVytVqOmpgYlxcUoLi5CTnY2Tp85AwCIi5+AjMzr2J90BNOmTe/T/A2tvzx7Zchn0WpqanDs2DFcu3at29cGBwZgyZIl8PLyMlg+1Hv95fuUiIiIiAamt99+G9u2bUN7e+evKx0dHbFz5044OTkJ4q6urnjmmWdw6tQpXLlyBYoOtQWVSoWrV68iJSVFZ5Murr0R6i/PSfUX/aU20V/WAZEQa0Y0lHHDjt7hv+u6dXwdd+eGHWq1GnWSWpSWFKOkuAg3c3Nx5dIFAMDYceORn5eLMyePY+qMWX2aM91dnaQWZ06dRNb17tcEgvx8sXDxYnh5exshs67rL39n+dqDOsPvUyLqDUtLS0ycOBETJ040dSpd4uDggIULF2LhwoWmToUGOP7UIqIB5cFnX0Xy+ZM6G2vdFjV+Mh5b95rOMZFIhIDho+AfPBLF+TnIuHoeDXW1Wuc11ktw9ug+uLp7YtLMhXBwcjbUl0BERDTksaBGvdWxmAYAWTeuQd7WhrKSYtTWVAsKuQ5OTqiuroRaDSgU7bCxscWOzRuweMVK2NqywaapqVQqZN/IxIUzp9DYUK/3PJGZGRwcHKFQtKNdLodCoYC5uTkCgoIxaepM+Pl49l3SRERERETUb/gHhWD12uew4fP39J5jZmaGP/ztf/ANCNY5bmtnj4QpsxA5Nh7pyReRcz1dq9mXUqlEdmYa8rKuIWb8JIwZG8/POIiIiAyEP1PJEDrWDvJyc3H+3DmUFBehuLgYLTLhBmS2dnZQq9Rokcng4eGB0ydOwNHBEWNjY/sybdKjoaEBJ06cQEpKClQdNmy5k52dHSwsLCCXyyGXy6FUKuHq6or4+HjEx8dzR1siIiIiokFm+PDh+O1vf4s333xT7zkikQgbNmxAaGioznF7e3ssWLAAiYmJOH369F2bdM2YMQOJiYn8/IKIiKiHtJtzmSgRGlSUKuHGawX5ebh84TxKS4pRWlKMlhZhTcDOzh5KpRKtra1wdXPHxfNn4ejkhJjYuL5Mm/RoamzE+TOnkJGe2mlNwMbGFpaWlpDL5VAo2qFQKODk7IKxsXGYPmUiawJEREREZDRszkVE/V67vA1pl8/iwsnDuHQ6qdPGXJ4+/nj17Q9gbtH5P28dm3RdS76AekmN1nmSmkoc3LEBCdPmIjw8vNdfCxER0VCkBne7IcMyMzODmZk5VHcU1S6fP6v3fBdXN0TGxOLGtQz4BwbB0tISlRXl2LbxWyy9dxWcnF30XkvGo1arkZ+Xi3Onj0NSo/1a/DZ7ewdERMVgdFQ07O0dBNer1WoW0YiIiIiIhqiK0mKcOXYQZ44dRNrV852e++QvXsP4ydPvOqedvYOmSVdG8iVkX0/T2aTryvlTqKooQ+LM+YBd/9gFnYiIaCDRXojDugH1noWl8HWZQqHA0aTDes+Pjo5BRUUFJLW1GDFyJABg/949aG5qQuLUqfy+NBGpVIpTp07h0qVLUCqVOs8RiUQYOXIk4uLiMGLECEGdQKVSsW5ARERERDQIFRYWYufOndi5cydOnjzZ6blvv/02Fi1adNc5HRwcNE26zpw5g8uXL+ts0nXkyBEUFRVhxYoVsLGx6dXXQURENBR1rAkQGYKFuXDtqFKpxIljSXrPHx0ZheqqStTWVCNk5CgAwJFDByBtbsakKdNYEzCRFpkMF86dQWqydsPc20QiEYKCQxA9NhbBIfprAqwNEBEREZExsTkXEfVL9fV1OHLwAA7t34Mjhw+hVSa96zU2tvZ47W+fwtGp680V7mzSVVKQi4yr57WadLXL23Dq8G5I66sQO2EK36gTERF1EwtqZGjm5ubwCwhEUcHNLp1vZmYGpVIJa7EY7XI5LH9coFNfJ8HWjd9gyYpVGObpZcyUqYPammocO3wA5aUles/xDwhCVGwcgoaH6HwNLhKJWAglIiIiIhpC1Go1UpKTsXf3LuzdsxsZ6eldum724nux+tHnunUvO3sHTJgyE5Gxt5p0ZWWmajXpKi7Iw+4t32LJPSvgwfeURERE3cK6ARnDiBEjcPL4sS6fb25hAYWiHejwOfOpkyfQ1NyE+QsW8vmQPqRSqXDu3DmcOHECcrlc5zlisRjx8fGIjY2Fs7OzznP4Z0ZERERENDio1WqkpKRgx44d2LlzJ1JTU7t03Zo1a/Cb3/ymW/dycHDA/PnzBU262tvbBefk5OTg448/xsqVK+Hr69ut+YmIiEiIz/6SIQSHhODUiaNdPt/CwgKKdoXW99/5s6fR3NyEOfMX8fPlPqRSqXD10kWcP3MKbfI2nedYW4sREzsOkTFj4eTkrPMc/pkRERERUV9hc96t6bEAAQAASURBVC4i6jeKiwpxcN8eHNq3BxfOnta7A2ZHTi5uGD9lNlY9tg6ePv49urdIJIJ/8Ej4BY1ASUEuUi+dRlNDveCcjORLqK4sx7Q5i2FrZ9+j+xARERELamQY4xMmddqcy8zMHJ7e3vDx9YO3rz+8fXwhk8mwa9smNDU2aM6TSaX4YdN3WLhsBfwDg/si9SFNqVTi8oWzuHz+HFQq3a/3vbx9MHHqdPj5B/ZxdkRERERE1N/I5XKcOnECe/fsxr49e1DaSYPfO4lEIoRHxWL+sjVYuOL+Hn8WYWtnj/jEGRgzdjzSr17EjYxkQTOR5qYG7Nz8HSZNm4XwyGh+5kFERNRD/BlKhuDl7Y2QESOQl5ur9xwHR0cEBATAzz8A/v7+cPfwwKkTJ3Dm9CnBeSlXr0ImlWLZPSs0G36Q8VRWVmLnzp0oKyvTOW5paYmEhARMnjwZYrG4j7MjIiIiIqK+IpfLceLECezatQu7du1CUVFRl69NSEjA2rVr8fTTT/f4cwZ7e3vMmzcPkydPxpkzZ3D+/HlBTaC+vh5ffPEF5s+fj7i4OH6eQURE1EUdN+zgz1AyBI9hnggZMQp5udl6z3FwcISPnz98/fzg6+cPN3cPXDx/FmdPnRCcl5GWCplUhkXL7oGVlZWxUx/yaqqrcHDfHlSU66kJWFhibNx4xE2YCBsbmz7OjoiIiIhINzbnIiKTUavVSE9N/rEh115cv9a1Xe4BwCdgOCZMnYMJU+dg1JhYmJubGySn2026vPwCcfHkYRTdFH5AU1lWgt1bvsHU2Yvg7RdgkHsSERENdiyokTH4+PljwZJ7cOHcKUhqamBtbQ0vHz/4+PrBx88fw7y8YWEhfMsrtrHBfQ88jF3bNqG2uloTl8vl2LVtC2YvWITQ8Ii+/lKGjMryMhw5tE/we38nNw8PJEyehuCQEfx3goiIiIhoCKuvr8fhgwewd89uHD54EI2NjV26zspajNgJiZg8Yx4mTp8LVzcPg+Vka2ePCVNmwj84BCcP7UFra4tmTKlS4tSxQ6goL8GUGXNhyQc1iYiI7op1AzKWJcuW49jRI8i8dg3tcjk8hg2Dn78//P394ecfACcnJ63vt2kzZsDewQGHDuwXfG9mZ2Vhw7ffYtWaNVz8YSQKhQKnTp3CqVOnoFKptMbNzc0RFxeHKVOmwN6em+gREREREQ1GjY2N2L9/P3bu3Il9+/ahoaHh7hcBsLa2xuzZs7Fs2TIsWbIEXl5eBsvpdpOuUaNGYevWrZBKpZoxpVKJvXv3oqioCEuWLGHzBiIioi7oWBMgMpR5i5bg9PGjuJF5DfJ2Odzc3OHr53/rv4AAODpq1wQmTp4COzs7JB0U1gRu5uVg6/ff4Z77VsPG1ravv5QhQalU4sK5M7h47gyUSu1Nvs3MzBAVPRYTJiXC3sHBBBkSEREREenH5lxE1Cfa29uRm52Fa+lpyMxIQ0ZaKq6lp6Ghvq5L14tEIowaMxYTps7FhKlz4Bc0wqj5WlpaYdLMhRjm7Yer544LHgJskUlxaPcWjI1PRGRsPB8UJiIiugsusiFjGREahhGhYZrXamZmZne9xt7eAfeufgh7d25DafFPuyuqVEoc2rsLMqkUY+PijZbzUHUjMwNJ+/foLLA7OjljwuQpCA2P4L8PRERERERDTE1NDdJTU5GamoL01FSkpaUiOytL58J8XRydXTBx6hxMmjEPcROnGf0BSR+/QCxZ9QhOHNqNqgrhDp45NzJRW12FOQuXwdnVzah5EBERDXSsG5Cx2NraYtHiJVi4aDFUKlWXN3obFxcHO3s77PrhBygUCk28tKQY33y1HqvvfwBOTk7GSntIksvl+Prrr1FSUqI1JhKJEB0djenTp8PZ2bnvkyMiIiIiIqOoqalBamoqkpOTkZKSgpSUFNy4cUPnwnxdXF1dsXjxYixbtgxz5841ehPf4OBgPPvss9i6dSsKCwsFY+np6aioqMCqVavg4WG4zUKIiIiGAtYEyFBsbGwwZ8EizJ6/sFs1gaiYWNjZ2WPPzu2CmkB5WSk2fvsV7l19P5ycnI2U9dAkl8uxbdMGlJXqrgmEjY7ApCnT4OzsYoLsiIiIiIjujs25iMjgmhobcf1aBq6lp+JaRhqupaUi63om5HJ5t+axFosxZdoMhI6bhvjE2XA24C73XSESiTBydDRc3T1x+sgeKFp/2vVGrVbj6oVTqK4oReKsBbAWc5dUIiIifTousjl94jhs7WxhYWEJa2tr+AUEIjAoWFNoa21tRX2dBE2NjRDb2MDZ2QX2Dg4sxJFeXWnKdSdrsRhL712Nw/t3IzfrhmDs9PEjkDY3YfK0mfyeM5DKinIcObBPe8GdmRli4+IRP2kKLCz48QQRERER0WCmUqlQkJ+P9LRUpKWmIjU1FelpqSgrLe32XMOHh2DhkiUIiZ6KMTFxMO/j9xN29g6Yt2w1rp4/hWuplwVjktoabP/+a0ydNR8jQsP7NC8iIqKBpONnhVlZWdi9ezdEIhEsLS3h5OSEiIgIOPy4K7ZKpUJjYyNqa2uhUCjg7OwMFxcXWFlZmSJ9GgBEIlGXF+HcFhYWDtsHbLFl8ya0tbZq4jXV1fh6/ZdYc/8D8Bg2zNCpDklqtRq7du3S2ZjLw8MDS5cuhb+/vwkyIyIiIiIiQ1Cr1cjPz0dKSoqgEZeu9wB3M3z4cCxbtgzLli3D5MmT+/wZIwcHB6xduxZHjhzBmTNnBGPV1dX45JNPsHTpUkRGRvZpXkRERANJx5rAzbw87Nu7R1MTcHBwxGgdNQFJbS3aFe1wdnKGi6srawKkV09qAiEjR2Hlmofww9ZNaG1t0cTrJLXY+PV6rFi1BsM8vQyd6pCkVqtx5NB+nY25XF3dMHfBYviyJkBERERE/RxXvxJRr6lUKuzZsR17d/2Aa+lpKLiZ1+O5XFzdMHveAsxduAjTZsyGrZ0drmRXGzDb7nMb5oX59zyIlLNJKCm8KRgrLryJ3Vu+xbS5i+Hh6W2iDImIiAaWm3k5guML587A1tYOjk5OaGpshFTarHWNhYUFHB2d4OjkDAcHB5hbWMDc3ByeXt4YGRoGCwsLtLe3I/XqFWRnXYdYbIPAoGAEBgfDzd2DTZZIi4WFBeYvXo6TtklISxYupk6+fBEyqRSz5i/qdqGOhFpbWrB/1w9QqYQ7XLp7DMOs+YtYtCQiIiIiGsRKS0rw8Ucf4sK580hPS0VTU1OP54qLj8fCRYuxeMkShIWPhkgkwqXsGgNm2z3m5uYYP3k6hnn74vLpQ4LNSdrb23HkwG5UlJUgYcoMNiMmIiLqoitXrgiODx06BA8PD6hUKkgkEiiVSq1r7O3t4ezsDGdnZ9jY2MDMzAy2trYIDw/HsB+bKJWXl+PMmTOQSCTw9fVFSEgIgoKCIBaL++TrooElIDAQj6x9FN9v3ICmxkZNvKmxEV9/tR4rV61GQGCgCTMcHC5duoSMjAxBzMzMDImJiZg6dSpfQxMRERERDUClpaV4//33cebMGaSmpqLxjvdU3TV+/HhNQ66IiAiTP/tnZmaGOXPmwN/fHzt27EDrHQ2d29vbsW3bNhQVFWHevHl8P0NERKRDx+ZcAJBy9arg+NiRJLi5uwMA6iQSKBQKrWvs7O3h5OQMZ2cniH+sCdiIbRAaFoZhnp4AgMqKCpw/dxa1tRJ4+3gjePhwBAUFsyZAOvn4+WHNQ49g++bv0djYoIlLpc3Y/N03WHrvSgQEBpkuwUEiPTUZmRnpgpiZmRni4hMwMZE1ASIiIiIaGPiqlYh65Vp6Kn73you4fPF8j+cIDB6OeQsXY+6CxYibkNAv31Bbi20wa+E9SL96EckXTws+GGxuasCBHd9j7IREhEfGsoEDERHRHXQV03SRyaSQyaR6xxUKBSSSWkgktVpj1ofECAgMQmlJsWCO/Ju5AAAvbx/Mmb+QTYBIi0gkwtSZs2Fnb49zp44LxrKuX4NMJsPCpffAytraJPkNdGq1Gof370HTHcVKAIiIisG0WXP5upmIiIiIaJCSy+X44L3/4q/vvA2pVP97/c5YW1tj2oyZWLR4CRYuWgQv7/65OUbg8JHw9/NC0r6dqK0RbjRyLS0Z1ZUVmDZ7PlzdPUyUIRERUf/UldqBSqVCZWVlp+c0NzejubkZJSXCnbaPHTsGX19fWFlZIT8/XxMvKyvDpUuXYGFhgcmTJ2Pq1Kn8nJK0eAwbhkcefQybNm5ATfVPr/HaWlvx/YbvsHT5coSFjzZhhgNbaWkpDh48KIiJxWKsXbsW3v30dT8REREREenX3t6O//u//8Mbb7yB5mbtTTm7wsrKCjNnzsSyZcuwdOlS+Pj4GDhLwwgLC8MzzzyDzZs3o7y8XDB26dIllJaWYtmyZfD8sTkIERERdZ1KpUJ1VVWn50ibmyFtbkZZqbAmcOrkCXh5+0AstkbBHTWBivIyJF+5AgsLC8RPSEAiNwYgHdzcPbDmobXYvnkjau547qNN3obtmzdiweJlCGVNoMcqystw9LCwJmBtZY171zwAbx9fE2VFRERERNR9fDdJRD3S0FCPf7zzFr767GOoVKouX+fr54+IyChEREXf+n9kNPz8A0y+o01XiEQiRI2bAA9Pb5w4vAetLTLNmFKpxOWzJ5B34xriE2fC2y/AhJkSERH1L5YWlmhXtBtt/ra2VuRk39A7XlFehu+++gLxEycjYVIiF9qQgEgkQtyEibCzs8ORQ/uhvuO1bXFhPn7YvAGLV6yEnZ29CbMcmK5cPI+CH5vk3ebl48vGXEREREREg9jxo0fx8ou/QHZWVpevEYvFiBgzBlHRMYiKjkZkVDTGREbCzs7OiJkajrOLK5aveginjychK1O402dVZTm2bfwKEVFjMS5hMqytuRsvERERAFhaWhr9HqWlpXrHFAoFTpw4gevXr2P58uX9dtEvmY6TkxMeXvsotmzahJLiIk1coVDgh23bMHe+DOPi4kyY4cAkk8mwefNmKJVKQXz58uVszEVERERENAAdO3YML7zwAjIzM7t8jVgsRmRkJGJiYjT/RUdHD5iagIuLC5544gns378fV65cEYyVlZXh448/xvjx4zF9+nTY2NiYKEsiIqL+pS9qAhXlZXrHFAoFzp45jezsLCxeshQ+vmwIREIOjo5Y9eAj2LV9i6AmoFQqsXfXD5BKmxEbF2/CDAemlpYW7Nn5g1ZNYO7CxWzMRUREREQDDptzEVG3qFQqbNu0AW//6feoqdbfkd7c3BwjQ8MRERmFMVHRGB0ZhdFjIuHi4tqH2RqHt18Alq56BCcO70FlmbDbfp2kBgd3bUZQyCjETZoOewdHE2VJRETUP4hEIowMC0Nmxk+LU11d3RAQGASFUoGiggI0NjbovM7BwREtMplBGnupVCqcP3MKhfk3cd+aB2FlZdXrOWlwCR8TBRtbO+zftR0KhUITr6qswLaN32LpvavgPAhey/aVG5kZOH/6hCBmY2uLBUuWszEXEREREdEgVFpSgtd+8yts37q10/Nc3dwQHR2DqJhoREVFIyo6Gv/P3n2HR5Xed8P/nmkqo94bqAv1Rl1YYOm9LNt7sWMnT94kTvLEKa/zvn6f2E6cHrfYznrX22CXpSwdll4FCNR7l0Coj9rMSJp23j8EA0cjgfpoxPdzXXutzn3K/GYXJM35nvt3x8TGOfzqtAqlEs+t24SgkFBcOX9a8mChxWJBYd5tVJWXYtGyFZiXmOIQC5YQERFNpbi4OJw7d856L1ahUCA2Nhbu7u7QaDSoqakZdpEwJycnqFQq9Pb2Tkodra2t+OCDD7Bz506kpqZOyjVp9nBxccFrb7yBQwcPSJrPiqKIUyeOQ9vbixXPPcff7Uapv78fe/bsQXe3NBdctmwZ4uPj7VQVERERERGNx7179/C///f/xp49ex57nK+vL9LT05GRkWFtxDVv3jzHzwQUCmzbtg1z587F0aNHYTQ+fL7RYrHgxo0bKCwsxJo1a5CRkQGZTGbHaomIiOwvOiYGF84prT8z5XI5omNi4O7hga7OTtSOkAmo7mcC2knKBNrb2vDxRx9iy7ZtSE1Ln5Rr0uzh4uKCF155HccPfy1ZOF4URZw/8w10Wi2eXbmKmcAoDQwM4PCBr9Dd1SkZn79wMeLiE+xUFRERERHR+Dn2XW0imlRarRbFRUVQKpXw8vKCzMUdHh6e1snzJYUF+L//6s+RfSNr2PPDI6PwR3/yPaRmZCIuPhHOzrN3BXhXtRs2bH8ZOTcuoyg322Z/XXUF7tbXIiVzEZLTF0Lu4CEiERHRRGzYvA2hYXNgNBgRNncuAgKDrKGExWJBVUU5Wlua4ezsAm8fH3h5e8PTyxsKhQKiKEKn1aKrsxM93V3o7umGXqeDyWRETVUV9HqdzeuFR0TB09MTtTXV6O3tkexruteIyxfOYc36jdPy3smxRERFY9crb+Dwgb3o7+uzjnd3dWLfnk+xbdfLCAxyvJXbRVFET3cXNB0d6O3thlrtjrkRkVO2ElVRfi4unDkFURStY4IgYMOW7WxeS0RERETkgKqqKtHa0govL094eXnDy9sbLi4uEAQBBoMBv/rFz/FPP/4RdDrbz+iCIOCtd97F1u3bkZaWjuCQkFn9oGJ8Uir8AgJx5vhhmwcM+/r0uHjmJEoL87HsubUIcMDPl0RERJPFz88P3/nOd1BZWQl3d3fExcVJni/o7OxEWVkZ9Ho9fHx84OvrC19fX7i6ukIQBBiNRnR2dqKrq8v6j9FoREdHB2prayX3JgHA2dkZaWlpaGtrQ11dnWSSj8ViwZEjRxAWFgYfHy7QQFJKpRK7XnwJJ08cR15OjmTf1SuX0avtxeYtWx1yorXRaERLczM0mg6YzRaEhYXBPyBgSl5Lr9fjs88+w7179yTj4eHhWLNmzZS8JhERERERjU9VVRWamprg7e1t/edBJmA0GvGzn/0MP/zhD6HVaoc9/7333sOuXbuQnp6O0NDQWZ0JpKWlISgoCF999RXa29sl+/R6PY4cOYLbt29j8+bNCAsLs1OVRERE9ufj44N3v/VtVFVWws1Njdi4eZJMoKurC+VlZejT6+Ht4w1vbx/4+PpCrVZbfwfp6uxEV3cXuru60d3VBaPJiE6NBnXDZAJOzs5ISU1Fe1sbGurrJZmAKIo4efw4QsPmwNfXd9r+G5BjUCgU2LpzF86fPoW83NuSfTevX4NW24v1m7Y65ELVRqMRba0t6NJoYDKbEBwSCv+AwCl5rb6+PhzYuwfNTdJMICQ0DMufWz0lr0lERERENNXYLYaIAACFBfl4YecONA15EE4QBLi7e8DTywuNd+8MvzqtszP+5C/+Cn/4J38+qxtyDSWTybDgmZWYGxmDG5fPoaOtRbLfZDIi9+ZVVJUVI3PJckREx83qgJGIiGgkMpkMqemZI+6Li08YcfULQRDg5u4ON3d3AHMl+8xmM3JvZaO56R6cnJygdndHREQUQu4/yGIymXAj6ypuZl2V/A6Tl3ML8+ITETZXej0iAAgMDsGLr72NQ/u+QG/Pw9Xb+/R6HPzyc2zesQtzI6LsWOHomc1mVJaXIv92NlpbmiX7lEolYuYlYOGSpfD08p6018y7nY3L58/YjC965lnMCY+ctNchIiIiIqKpJ4oi/uav/jd+9Yuf2+xTqVTw8vaGKIpoa20d9vzM+fPx7//1c8xfsGCqS51R/PwD8eLr7yLv1g3k3b4Bs9ks2d/a0oSDX36KeYkpWLBkGZsYExHRUysgIAABIzQC8vb2xjPPPDPiuUqlcsTzm5ubcfPmTRiNRri5ucHX1xfJycnWZxmam5vx9ddfo7n54T1To9GII0eO4O2332amTzZkMhk2bd4Cdzd3XL50UbKvIC8Pep0OO3e9AJVKZacKx0aj0eBW9k3k5+XBaDBI9gUEBmLBwkVITUubtIZjWq0Wn3zyCVqHfG5wc3PDiy++6JCNzYiIiIiIZiNRFPH9738f//qv/2qzT6VSwft+JjD0d/sHMjMz8atf/QqLFy+e6lJnlMDAQHz3u9/F1atXceXKFZhMJsn+e/fu4YMPPkB6ejqee+45eHl52adQIiIiO/P394e/v/+w+7y8vLB4yZIRz1UqlfAPCBh2cYHWlhbcupUNo8EAV7Uavr5+SEhMhIuLi3X/0cOH0dzcZD3HZDLh+NGjeJOZAA1DJpNh9fqNULu54+rlC5J9JUWF0Ov02Pa842QCXV2dyL2VjeKCfAwYBiT7/Pz8kbFgIZJT0yftXr1ep8P+L3ejtVU6z9bVVY2tO3Y5ZGMzIiIiIiIAEMShraGnUEtLC1asWGEzfunSJQQGTk2XXXIc2gGjvUt4apWXl2Hj2jVob2sb87nrN23BD//xXzA3PGLyC7vvdsXY65oK7i7KEfdZLBZUlhYi58ZlDPT3D3uMl48vUjIXIzImflY8XHhPo7d3CQCAEB9Xe5cAAAj1V9u7BBqG2nnkv7dE9PRobrqHvZ9/CqPp4e+b3j6+ePv9P4BCwX7Fo6Hrf/p+V9fptDi870u0t0kfKBNkMqzduAXxicl2quzJ+vR6FOXnojA/B7oRVql8QCaTI33+AixYvBROE2y0e+v6NWRduWgznj5/IZ59bs2UB9gz5ef+TPn7MlP+e8wUM+X/y0zRqzc8+aBpEOQzvs9Rba0teGXbBptx3mMkclzMDmimexrzC1EU8Xd/89f4xX/955jP9fbxwQ//z4/wznvvTelDddkV7U8+aBp4qEf+3bunuwtZl86jrqZy2P1ymRyxCUnIWLgEHp5eU1Th9HJ3nRkPoM6Uz0SeLrz39Cg3p5nx/4WIyGw248iRI8jLy5OMb9u2DfPnz7dPUTQu0/27em5ODk4eP4ahj9uFhIbh5VdfhavrzHh+YShRFFFfV4fsmzdQVVlpU/9QAYGBWLN2HSKjxrdYyYOf+d3d3fjkk0/Q0dEh3e/mhrfffnvEBn00uz2Nn7Fp6rW2tGDTujU247y/SDQzMRMgmnlEUcTf/u3f4qc//emYz/Xy8sJPfvITfOc733nqJ9p3dXXh1KlTKC0tHXa/TCZDWloali9fDh8fnwm91kz5vfpeZ5+9S5hRZko2QTMTMyMi+zGbzThx/BgKhmQCGzZtdojFxrr7TE8+iKZEUUEeTp88LlkoHgCCgkPw/IuvwFU9M+cSiqKIu3cakJN9E9VVFU/MBPz8/LFi9VpERkVP6HV7e3qw74vPodFIMwFXVzVefPV1+AdM7Wf+mfKzdqb8nZ0p/z1mipny/4Wkxvvn9GnNBEa6rxpVEwmlaXb+nTcqTKiJqrUZn+3/r4loZnL87jBENCF1tbXYvnnTmBtzhUdE4vd79uHD3V9NaWMuRyGTyTAvKQ27Xv8W4pPTh2080KXpwOUzx/H1ng9RWVoIs9lsh0qJiIiePkHBIVi24jnJWKemAyVFBfYpiByCWu2GF159E3PmRkjGRYsFp48fwe2b158YVE03g8GAKxfO4qPf/BLXr156YmMuALBYzMjJvoFPfvdrFOTdtgkPR0MURWRdvjBsY66FzyyblsZcREREREQ0uf7xR/8wrsZc777/LeQUFOH9b3/7qZ+EAwAenl7YsO15bN7xIjy9vG32my1mlBUX4MtPPsD5U8fQNeQBRSIiIpoacrkcmzZtgqenp2T84sWLMJn4YDaNLCMzE7teeslm8Zd7jXfxye8/QldXl30Ke4w7DQ346IMPsPuzT1FZ8eRJOMDgA+17Pv8Me7/Yg/b28TXF7ejowEcffWTTmMvT0xPvvfceG3MREREREc0gP/nJT8bVmOv9999HRUUF/uiP/oiZAAYblb3yyit466234OfnZ7PfYrEgNzcXP//5z3HgwAG0jWNhdSIiIho7uVyO9Rs2wstbmtlfuXyJmQA9VnJqOnbseglKhbQBZ3PTPez57GN0dXXaqbKR3Wu8i88//hB7d3+KqsryUWUC7e1tOLB3D/Z/uQcd7eP7HbWrqxNf7v7UpjGXu7sHXnnjrSlvzEVERERENNXYnIvoKXbq5AlsXr8O9xobJeOPmzjv5OSEv/ib/xtns25j7cbNU12iw3FydsGSFWux7aW3EBgcOuwxPd1duHr+FA7u/hDlxfkw80YeERHRlMtYsBDBIdKfzdk3ro+rERE9PVROTtj2wsuIi0+02Xft0nlcPn92xjToulNfiz0f/w65t27CbB7+90snZ2e4e3gO+/t+f18fLp75BmdOHB3Te9J0dGD/F5/h1o0sm33PLH8OS5atYGMuIiIiIiIH0tnZib/4sz/FP/74R2M6LyMzE+cuXcHPf/Xfw044edrNiYjCS2++j8XLVkKptF013WKxoKKsGHs/+xBnjh9CR3urHaokIiJ6ujg5OWHbtm2SsZ6eHhQWFtqpInIU8+bF47U33oSzi4tkXNPRgY8/+hAtzc12qkxqYGAAp06ewGeffIzm5qZhjxEEAV7e3nBydh52f1VlJT763Qc2zxU9jsViwfXr1/HrX//aplmZj48P3nvvPfj6+o76ekRERERENHW6urrwZ3/2Z/jBD34wpvPS09Nx7do1/O53v4O/v/8UVee4oqOj8Ud/9EdYv349nJycbPaLooiCggL86le/wt69e9E8Qz5HEhERzWYqlQqbt2yVjOm0WhTk59upInIUUTGxePG1N+DsLM0Eujo1+OLTj9Eywv336WYwGHD+zDf44rORaxIEAZ5e3nByGj4TqKutxue//xD37t4d9euKoojc29n49Hf/g+4hzco8Pb3w8htvwceXzxERERERkeNTPPkQIpptysvL8Hff/z6+OXXSZt+CRYtw+NgJyGQyNDS1oburC91dXejq0kAQBCxYtAS+fgzRnsTHLwAbd76KuuoKFNy+js4O267h2t5uZF08jfxbWYhNSEFUbDw8vfkAIhER0VSQyWRYunwl9n+52zrW1alBRVkp4hOT7FgZzXRyuRzrt2yHq1qNvNvZkn35OdnQ67VYu3ErFAr7fLzu7+vDlYvnUFpUMOIxIWFzkJ65EJExsZDJZNBqe5GbfQMFuTmwWMySY8tLixEbn4jI6JjHvq7FYkFO9g3cvHZl2GZgK1avQ1rmgvG9KSIiIiIimnYmkwkf/e4D/Oj//H/QdEhXsRQEAb/93Yd48eVX0N3dja6uTnRqOtHV1Ynuri5EREYhPSMDcrncTtU7BrlcjvQFixEbn4Tc7CyUFRfAbJZ+JhNFEdWV5aiuLMfciCjExichIioGimEaehEREdHExcTEIDw8HPX19daxK1euIC0tDTIZ1zukkc2ZOxdvvfMuvtyzGz3d3dZxnVaLTz/5GC++9DIiIiPtVl91dRVOHDsmqe1RTs7OSE/PwPyFC+Hl5QWLxYKammpcOHcOrS0tkmONBgNOHD+G97/9B09cjKOtrQ3Hjx5FW/M9m33+/v54++234e7uPv43RkREREREk8JsNuODDz7AD37wA7S3t9vs/+ijj/Dmm2+iu7sbnZ2dkn8iIyMxf/58ZgJPIJfLsXTpUqSmpuLKlSu4desWTEMW9BZFESUlJSgpKUFMTAzS09Mxb968YRf5ICIioomLiIxERGQk6mprrWPXs64hPSODmQA9VkhoGF576x0c2PsFuru7rOM6nRZ7P/8U2194CeER9ssE6mprcObkcUltj3JSOSE5LR3p8xfAy8sboiiirrYGVy6cQ2vrkEzAZMTpk8fw1vt/8MS/F52aDpw6fhSNd+/Y7PP28cVLr74Bdw+Pcb8vIiIiIqKZhM25iJ4inZ2d+OlPfozf/PevbMIdAEhOScGBQ0esD8KFhDohJDRsusucNQRBQGTMPEREx+FOXRUKbt9Ae6vtyjZ6nRb5t7KQfysLvv6BiIyNR2RMPNRufCCRiIhoMoVHRCIwMAgtLQ9/Hl86fxahYXN4058eSxAELF+1Fmo3d1y9eE6yr7KsFH16PbbseAGqYVY6nErVFeW4cPYU9DqdzT6ZTI64+ASkZi5AYFCwZJ+bmzuWr1qL5LRMZF0+j+rKCsn+61cuIiIqesRJNu1trTh78hhaW2x/txUEAavWbURSavr43xgREREREU2rC+fO4a//6i9RUlw87P7//Pkv8errbwAAfH194evrC0RPZ4Wzi9rNDc+uWoeMhc+gMDcbxQW5w2Y2DXU1aKirgVKpRGR0HGLmJSB0bgQfCiYiIppky5cvlzTn6ujowMWLF7Fq1So7VkWOwN/fH2+/+x6+3LMbba2t1nHDwAC+3LMb23fuRMI0LxCj1+tx5vQ3KCoYfkEPbx8fLFy0GCmpqXB6JNOQyWSIiYlFVFQ0CvLzcfHCeei0Wuv+luZmlJWWjPh+zGYzrmdl4cqlizCbzVAppJP0g4KC8NZbb0GtVk/CuyQiIiIiook4f/48vve976FghM8Nv/jFL/Duu+8CeCQToHFzc3PDxo0b8eyzzyIrKwvZ2dkwGAw2x1VVVaGqqgoqlQrx8fFISUlBdHQ0MwEiIqJJ9szSZZLmXF2dnbh4/jxWrVljx6rIEfj4+uHVN9/Bwa++kDS0MhgNOPjVF9iweRsSkpKntaa+vj5cOn8GRQX5w+739PJG5oKFSEpJk2QCgiAgMioa4RGRKCkqwJWLF6DTPcwE2tvbUF5aMuL7sVgsuHXjOrKuXhr2eRc/P3+8+OobULu5TfAdEhERERHNHGzORTSLGQwGlJYUIz8vH/l5udj31V6bFe8fWLzkGez+ci+8vb2nucrZTxAEzI2MxZyIGDQ21KLg9nW0DrNKKAB0tLWgo60Ft7MuIShkDiJj4xERHQeVk/M0V01ERDT7CIKARc8sw5Gv91vHent7cGDvHrz61ruSwIFoOJkLF8NVrcaZk8cgWizW8bsN9dj/xWfY9sLLcJuGBqv9fX04d/oEqivKh90fHBqG1es3w+cJD8d5+/hg844XUJiXgwtnTlnH29taUVVRhth5CTbn1FZX4fihA7BYzDb7PDy9sHrDJsyZGzG2N0RERERERNOqtaUF+fl5yMvNxZVLl3Du7Jlhj3NycsJP//Xf8P63vz3NFT4d1G5uWLJ8FdIXLEZBzi0UF+QMOyHHaDSioqwYFWXFcHFxRXRcPGLmJSIgKHjEpspEREQ0etHR0QgODkZTU5N17OLFi/D09ERmZqYdKyNH4OHhgTfffgf79u7FnYaHTd7MZjO+PnAAWq0OCxctmpZaKirKcfzo0WEX9FAqlVi+8jksWrz4sRO7ZTIZ0jMykJCYiI8/+hDtbW3WfZcuXsS8+ASb800mE/Z+sUcyoe1RCxcuxNq1a5nDERERERHZSWtrK3JycpCbm4uLFy/i1KlTwx6nUqnwb//2b/jjP/7jaa7w6eDm5oZ169Zh2bJluHHjBm7cuIH+/n6b4wwGAwoKClBQUAC1Wo2kpCSkpKQgLCyMmQAREdEkiIiMRFBwCJqbHs7ry7p2FR6enpi/YIEdKyNH4ObujpdefwtHDu5DQ32dddxsNuP4ka+h1+kwf9HiaamlproK3xw/Kmmq9YBCocAzy1ZgweIlT8wEklPTERefiD2ffIT29oeZwLUrlxAXnwC5XLoYh9lsxsGvvkR9Xc2w10xNy8CK1cwEiIiIiGj2YXMuolmkra0NXx/Yj7zcXBTk56G4qAhGo/Gx5wQGBeH/+4cf4bU33uTKKlNMEASEhUchdG4kmhvvoOD2dTQ1Ngx7rCiKaGpsQFNjA25cPouw8ChExiZgTngUZHI5+vv06NProNdp7/9bB7lchjmRMfD08pnmd0ZEROQ4YuLmIWzOXNy98/BncHt7G/JzbmPRM0vtWBk5ivjEZLi6uuL4oQOS37Xb21qxb/en2P7CK09sijURLc1NOHH4IHp7um32KZVKLF25CilpmWN6GCspNR0Fubeh6Wi3jl2/cgnRsfMknxH6+/pw5uRRm8ZcgiAgLXMBFi9bAZVKNY53RUREREREU0UURVy6cAGXL11EXl4eCvLz0HRv+MUjHrVz1y78w4//ERGRkdNQ5dPN2cUVi5atQOr8hSjOz0Fh3m0MDDMhBwD6+vQoys9BUX4OPDw8ETMvEbHxifDy8YXJaITufmag02qh12kx0N8PLx8fRMclcNIOERHRCARBwLp16/Dpp59CFEXr+MmTJ5GamgqFgo9W0eO5uLjgtTfewKGDB1BeVmYdF0URp0+dhLa3F8+tXj1lv4+ZzWZcOHcON65nDbs/PCICm7ZshY/P6J8lcXJywoqVK3Fg3z7rWEd7O4oKC5Cali459uaNG8M25vLx8cH27dsREREx6tclIiIiIqKJEUURFy9exPnz560NuRobG5943q5du/Av//IviIqKmoYqn26urq5YtWoVnnnmGdy8eRNZWVno6+sb9lidToebN2/i5s2b8Pb2RkpKClJSUuDv7w+j0QitVgttby+02l5otTr06fXw8fVBYlIy54UQERGNQBAErFm7Fns+/wyWRxZqPnfmNFJSU/kcND2Rs7Mznn/pVZw8ehjlZSWSfRfOnYZW24sVq9ZMWSZgsVhw9dIF3Lx+bdj9YXPmYv2mLfD2Gf18BpVKhWUrnsOhA19Zx7o6NSguzEdqunQhm9xb2cM25vL08sb6TVswNzxi1K9LRERERORI+AQZ0Sxx4vgxvP/2W9BqbbtdD0elUuFP/ux7+Mvv/zXc3d2nuDp6lCAICA6bi+CwuWhvbUZNRSlqq8rQp7ddvRQYfJCyvqYS9TWVkCsUEC0WyQ3ARxXlZmPLi2/A3cNrCt8BERGR45LJZNj+/IvY/env0dWpsY53d3XasSpyNHMjovD8K2/gyIG96NPrreO9Pd3Y/8Wn2LrzRQSHhk3qa4qiiMK8HFw+f9amORYAhEdGY9W6DXD38BzztWUyGRYvXY4TRw5ax7o6NaitrkJ0bJx17Ma1y+gf8jCYj68fVq/fNOnvl4iIiIiIJk6v1+Pdt97AiWPHRn1OSmoq/vlf/x3PrlgxhZXRcJydXTB/8TKkpC9ATVU5qspLce9ug6RJyKN6erqRk52FnOwsKJXKxy7W0tJ0D8ueWztVpRMRETm8qKgobN68Gcce+b3JYDBAp9PB03Ps91zp6aNQKPD8Cy/im1MnkXPrlmRf1rWr6NX2YvOWrZPe7K2npwcH9+9H4907NvtUTk5Yu2490tLTxzUJaF58AoKCgtHc3GQdu3H9uqQ5V09PD65eviQ5TxAELF26FKtWrYJSqRzz6xIRERER0fj09/fj9ddfx8GDB5988H0pKSn4r//6L6xatWoKK6PhODs7Y8WKFViyZAlKSkpQWFiImpqaETOBzs5OXLp0CZcuXYKTkxN6dfphjwOAu3fvYuOmzVNVOhERkcMLj4jAhk2bceLYUeuY0WiETqdjcy4aFYVCgS07noerWo3c29mSfbduXodWq8X6TVsm/R65trcXxw4flCxU/4CTygnLV61GavrYFvl+IDo2DkHBIWhuerjg362bNyTNubS9vci6YpsJZC5YhKXLV/LvDxERERHNamzORTQL7P9qL7793rswmUyjOn77zp340U/+CZFc3cbu/AKC4BcQhAVLV6KpsQG1laVoqKmCwTAw7PHmJ/w/7u/vQ871K1i5futUlEtERDQruLi6Yu7ccElzLvkkT4ag2S8wKBgvvvYWDu/fK2nu1t/Xh/1ffo7MBYuwaOnyCU+0MZlMqK2uRFF+Lu421Nvsd3ZxwYrV6xAXnzihFXbCo6Ihk8kljb+0vT3Wr9taW1CYlyM5JyIqBpu2Pz/pk4mIiIiIiGjient78fKu53FlyET5kfj6+eH/+eH/wTvvvQe5XD7F1dHjqJycEJ+UivikVOi0WtRUlqGqvBStLU0jnvO4xlwAUFyQi/jkVPj6BUx2uURERLNGYmKipDkXAN77pDGRyWTYsHET3NzccenCecm+ooICNN27h63btiM0bOKLXWg0GhTk5SEn57bNohoAEBsXhw2bNsPDw2PcryEIAmLj4iTNubq7uyGKojWPOHfmtOR3UUEQ8NobbyI5Ps7mekRERERENHW0Wi127NiBc+fOjep4X19f/OhHP8K3v/1tfva1M5VKhfT0dKSnp0Or1aKoqAiFhYVobGwc8ZyBgeHnGTyQc+sW0tMzEBQcPNnlEhERzRrxCQmS5lwAMwEaG0EQsGrteri7e+DShbOSfWUlRWhpbsLGzdsQMgmZQGenBiWFBcjPzUFfn22T1qjoWKzdsAnuE8wEYmLnSZpz6Xp7JZnApQtnYTAaJOftevk1RERyjjIRERERzX78xEjk4D79+GP8X3/0XVgslhGPiYyMQlpGOlLT0rFm7Tpkzp8/jRXSaMhkMoTOiUDonAiYlhtxt6EWtZWluFtfA7PZ/OQLPKK2qgzJGQvh6x84RdUSERE5PpNZ2vCSYRqNh5e3D158/S0c2b8XrS3N1nHRYsHtm9dRW12FtRu3IDA4ZFTXE0UROp0WmvY2aDo60N7WipqqCgz09w97fHBoGDZu3QE39/EHaQ9UlZdKGnMBwNyIKGtdF89+I1mZUaFQYOWadfy7Q0REREQ0A3V2dmLX9q24lZ094jFqtRrJKalIz8hA5vz52Lp9x4Qm7tPUULu5ISVjAVIyFqCrU4Oq8lJUlZdImkSPhiiKyL52GRu3vzBFlRIRETm+4RZD4/1PGitBEPDs8uVwd3fDiWPHJM/ydLS345Pff4TFS57B8pUroVQqR3VNk8mEjvZ2tLe3oa21DXfu3MGdYRbzAAC5XI616zcgc/78CS3oAQz+DllcXCQZi4mJsV63rrYWJcXFkv3pmZmIiIyc0OsSEREREdHYdHV1YfPmzcjKyhrxGFdXV6SnpyMjIwMLFizA888/D09Pz2mskkbDzc0NS5YswZIlS6DRaFBYWIiCggJ0dHSM+Vrnz53Fa2+8OQVVEhERzQ7DZQJcyIzGShAELFzyDNRqNU6dOCrJBDo1Hfji84+RuWARlq14bkyZQKemA+1tbdB0tOPunQbcvdMw7LFyuRwrVq1BxvyFk5IJlBYXSsYioqKt173b0IDSIZlBSmo6G3MRERER0VODT5ERObDiokL8yf/6Q5vGXGvWrsPa9euRlpaOlLQ0eHl52adAGheFUomI6DhERMdhoL8P9TWVqK0sQ/O9O5KGCIIgwNnFFS6uavR2d8H4SOfxnBtXsG4rJ9kQERGNxGySNiFimEbj5eqqxvOvvIEThw+ioa5Gsk/T0Y6vdn+ClPT5SEhOgX9AIEwmE3TaXui0Wuh0Wmh7e9HVqYGmox2a9rYnrmz4QObCxVjy7MpJ+7NbmJcj2Z4THglvHx8AQHFBHpoa70r2L1i8FB6eXpPy2kRERERENLn+6s+/Z9OYy8vLC2+/9z7S09ORmp6OmJhYfhZ2MF7ePliwZBnmL16K9tYWVJYVo7qiDHq9TnKcQqGAWu0GQSZDV6fGOl5fW43me3cRFDLxVVmJiIhmo+EWzeLvSzReaekZcFWr8fX+/TAajdZxURRxPesaKisrsHTZMsTGzYOTkxP0ej16e3rQq+2FtleLnu7uwWZcbW3o1Ggkz4qMxMvbG8/vegHBIaNbMORJamtqoBkyATxz/gIAgNFoxMkTxyX7nF1csPK5VZPy2kRERERENHrf+973bBpzeXp64tvf/jYyMzORkZGBuLg4fsZ1MD4+Pli5ciVWrFiBpqYmFBYWoqioCL29vZLjlEol3NzdIZfL0d7WZh2vralBfV0dwiMiprlyIiIixzBcJsAFO2i8ElNS4aJW4+jB/TA8Mr9TFEXczr6B6qpKLFm6DNGxg5lAn14PrbYXWq0W2t4e9Pb0oKO9HR3tbejq6rSZKzwcT08vbNnxPIJDQiflPdy904COjnbJWFrmfACDDcPOnJJmAk5Oznh2JTMBIiIiInp68BMjkQO7eeOmzc2g7/7R/8I//9u/QyaT2amqp4uspwGK1nyYAtJg8Zg76dd3cnZBXGIq4hJToddp0d2pgVKlgqvaDc4urtb/zwW3byDnxmXreY0NtejSdMDLx3fSayIiIpoNhgYWMj58RBOgUqmw9fkXcftGFrKvX4PF8vB3dFEUUZB7CwW5t6BQKIZdaWksXFxdsXr9ZkTFxE60bKuW5ia0NDdJxlLSMwEAPd1duHLhrGSfh6cXMhYunrTXJyIiIiKiyXXt6lXJtp+/Pw4fO46U1DQ7VfSU6aoHmnKB4AzAK3zSLy8IAvwDg+AfGIQly1eho60VRqMBrq5quKrdoFSpIAgCjAYD9vz+t+jr01vPLcjJZnMuIiKiEbA5F0222Ng4vPv+t3Dk8GE0N92T7Otob8eRQ4cgl8shiuKoJto8TnxCAjZv3QZnZ+cJXedRObdvSbb9AwIwZ+7gczGXLlywadz13KrVcHV1nbTXJyIiIiKi0bly5Ypk29fXF9988w0yMzPtVNHTRd9ag57qG/CIXgzXgKhJv74gCAgJCUFISAjWrVuHlpaWwcUflU5wd3eH6kEmYDTiv3/5C2gfad5188Z1NuciIiIaATMBmmyRUdF4/Z33cPLYEZtMoKtTg5PHjkAmOwZBEIb98zcWsXHxWLdpC1xcXCZ0nUfl59yWbPv4+GLO3MFnXrKuXLJp3LV0+Qq4qtWT9vpERERERDMdm3MROTA/fz/Jto+vL/7l3/8DgiDYqaKni7ytEK45PwcsZjhVH4E+809g9k+ZstdzVbvBVe027L7E1EyU5N9Cf3+fdaysOA9Llq+ZsnqIiIjswWKxoLWlGY137qC1tRle3j7ImL9wzJMNhgYaMoGNTWli5HI5Fi19FlGxcThz4ijaWltsjplIY66wueFISE5FdOw8KJXKiZRqo7ggT7Lt5uaOyOgYiKKIc6dOwGg0SvY/t3Y9V4ciIiIiIprB/Pz9cOdOg3X7f3//r9mYa7o0FwBZ/wlYTEDZYeCZ7wFBqVP2cjKZDP6BQcPuU6pUyFi4BNcunbOO1dVUQdvbAzd3jymriYiIyB70ej3q6+vR0NCA/v5+pKSkICpqbBNih+YGgiDw2QuaMP+AALz7/vvIunYNVy5dtPlzNpEJOC6urkhOSUFaWjoCAgMnWqpEb28vKisqJGOZ8xdAEATcvXMHN29cl+wLCQ1DekbGpNZARERERESj4+/vj+rqauv23/zN37Ax1zTpqb2FukP/ANFsRuuNLxCx4+/hEblgyl5PJpMhODgYAKAdkD7PpVQqsXTZs/jm5AnrWFVlJbq6uuDl5TVlNREREdmDXq/HnTsNuNPQgL6+PiQlJSMqOnpM1xhuwQSZjPMJaGJ8/fzx2lvv4vbNG7h25aLN3IGJLNTh7OyChKRkJKemIWCE50TGS6/TobKiTDKWljkfgiCg6V4jsm9kSfYFBgUjPXPqfu8lIiIiIpqJOJuWaAbq7hvdpP2A0AjJtqajA80dPZPWdbpZo5uU60xUb5/xyQdNg1C/ISt8Xt4DiGZAEAHRDHX5HiBi6sPMxnb9sONhMYkoycu2bpcUFSAgLBr+QaFTUoe7y+Q2hRgvD/XMqIOIiKZWe1srcm9lo7ysFAMD/ZJ9+Tm3sXL1WsQnJo1qoowoimhva5WMObtM3kri9HTz8w/AS2+8g9zsG7hx7QoslrFPrFEoFPDx9YOvnz98/QMQGR0DL2+fKah2UMeQvw8JKamQyWQoys/FnYY6yb7ElDSER44twJ4uuv6Z8bmByBG4u6rsXQIRERFNoajoaOTm5Fi379y5M6nXv9fZ9+SDpsGMyQ78H2Yy+oLPYBHvfw4UzZAVfg7XKPs9kDh/fiYKbl2TNF3Ou3kZazdunfTGz0RERNPNZDKhqKgI2dnZaGxslOzLzc1FUlISNmzYAA+P0TWlbGmRLrgwmauN09Rxc5oZv9MMnRT9KJlMhmXPPou4uDgcPXIETfcaRzz2cTw8PeHv7w8/P3+EzglDbGwc5HL5eEt+rPa2NoiiaN1WKBRITkmB0WjE0SOHbfZt2baNE9do1Bzh7y0RERGRI4mJicH16w8b6DY0NDzmaMc1U35/e/T32cZzv4ZoNg9+RjKb0XjuN/D41vRkAsPNNwmPS4L4zRkMGAasY0ePn8LGrdtnfSYQ4j0z7uOMdh4QERGNnclkQmlJMW7fuo17jXcl+wrz8zEvPh7rNmwcdSYwdBFmlZOTzTwEfl+n8ZDJZFi45BlEx8bi5LEJZAIenvDx9YOfvz9CQsMQGR0zZYtrd3S0SxqHyeVyJCanwmQy4dSxI5JMQC6XY+OWmZkJ8O8sEREREU0lNucicmDhEZE2Y3W1NUhMTrFDNU+Z+iuA7v6NOGM/oHQBtC1A/TUgfKldSopJSEVp/i3rDQ+T0YizR79CUsZixKfOh1LJyddEROR4mu414trlS6irrR7xGJ1Oi+NHvkZJUSG27Hgezs6Pb7TV1alBT0+3ZCw0bM6k1EsEDIZOC5YsRXRcPEoK81BZXobeIX/mlEol3Nw9oHZzg5ubO7zvN+Py8fWFh6fXqBrNTRalykmy3dLUhKzLF5Cfc0sy7ubmjmdXrp62uoiIiIiIaHyioqQNdWuqq+xUydPFWHMJFm0LIIqAqQ9QuMDS2wxjzRUoo561S01Ozs6Yl5iMovxc61hVeRk07e1Ys2EzgkKmZnEPIiKiqWQ0GpGdnY2rV69Cpxt5wbHi4mJUVlZi+/btSE5OfuJ1a2trJdt+fn4TrpXoUf4BAXjnvfdQWlKMkuJi1FRXw2x+uMCHIAjWzMDd3Q3ePj7WZlx+/v5wcnJ6zNUn19DXEkURN69fR1PTPWg6OiT7lq98Dv7+/tNWGxERERERScXExEi2q6qYCUwHTclZGLqaIUKExdgHmcoFhq4maErOwydxlV1qUqlUSExJRe7th4t9V5SXor2tFRs2b0NwaOi0PpNGREQ0GYxGI3Ju38b1rGvQabUjHldeVoaamhps2rwZySmpT7zu0EzA15eZAE0uH18/vPrmO6goK0VZSTHqaofJBNRuULu5Qa0ezAR8/e4v7u03vZmASiWdc2qxWJBz6yZam5vR0dEu2bdk6XL4+QdMW21ERERERDMFm3MROTAXV1cEh4RKOmjX1VazOdd0KD00+G+zAYAImI2AXAmUHbRbcy61mwfmRsWhvrrcOiaKIopyrqOs8DbmRs1D9Lxk+AYEMVgjIqIZSRRF9On1EGQyDAz049K5s6isKBv1+XW11Ti0fy92vfzaY1d602ltJ+sYBgzjqpnocbx9fLBs5WosXbEKmo529PXp4erqBjc3N6imMTB7Ejd3d8l2Q10NGupqbI5bvWETnJ7Q/I6IiIiIiOwveshEnJrqkRte0+QxFhwY/MJsHGzQZTYCChWMhfvt1pwLANIyFqCksAAWy8OHPDUd7fhq9yfwDwhEYkoa4uIT4ewyM1aVJyIiGspkMkGv10OtVqOgoABnz56F9jETcB5lMBiwf/9+yOVyJCQkPPbY3t5eyXZ3d/cIRxKNn0wmQ1JyCpKSU9Df34/WlhYoFAq4e3hArVbPmJXm3T08JNtmsxmXL120OS4kNAyLlyyZrrKIiIiIiGgYsbGxku3Kyko7VfJ0acnaAwAQTQZAtEA0GSAonNCStdtuzbkAIGP+AhTm58JkMlnHNJoO7Pns9wgICERSahoSklLgwkyAiIhmqEczgeKiQlw4fx7aIffvR2I0GHDk0KHBTCAx6bHHDr1mb2/PuGsmGolMJkN8YhLiE5PQ39+P9tZWyBVyuLm5Q+3mNnMyAXdpJiCKIrKuXLI5LjAoGIuesc+8WSIiIiIie2NzLiIHFxEVLW3OVWM7iZ4mWf0VQNcy+PWDySwW02BzLm0LUH/Nbg26FixbDb1Oi7bmRsm4yWhETXkRasqL4O7pBb/AEPgGBCMiJh5KpWqEqxEREU2PTk0HSoqLUF5agk5Nx5NPAODt4wsXFxfca7wrGb97pwEff/AbhEdEAgCcXVwQEhqGqJhYa3PKwOBguLqqodc/bNKVm3MLIWFhk/SOiKQEQYCv38xdNX5oc67hJKakITwyehqqISIiIiKiiYqKljbnqq2pgdlshlwut1NFs5+x5hIs2pbBplyW+xNeLCZAVMLS2wxjzRW7Nejy8fPDus1bcfbkMclkHABoa23BxbPf4MqFcwgJDUNgcDDCI6MREjbHLrUSERE9YDabUV5ejqKiIlRUVNj8DBuOUqlEWFgYmpub0dfXZx0XRRFffvkl5s2bB09PT4iiCG9vbyQlJcHT09N6XFxcHKofaWra3d2N1tZWBARw9W+aGs7OzpgbHm7vMob1oFGYxWIZ8RiFQoEt27bNmMlDRERERERPq5ghC3bU1dXBaDQ+dnFLmhhNyVkYupohQoRoHrxnIZpNEBUqGLqaoCk5b7cGXd4+vti0dQdOHTsCg1G6YGlrawtaz3yDyxfOITRsDgKDghEVHYvQOcwEiIjIvsxmMyorK1BaXIyqykoYjcYnnqNUKhESGorW1lb06fXWcVEUcXD/fhQWFMDTywuiKMLLyxsJiYmSTCA2bh6qq6qs29reXrS2tCAgMHBy3xzRfc7OzgibO9feZQzLxdUVCoXisXmcXC7Hxi3MBIiIiIjo6cXmXEQOLiIqStKJuram6jFH06QoPTT4b7MBgHh/UATMxsEGXWUH7dacS+XkjNVbXkRJ3k0U5dyAKNo+KNnb3YXe7i7UVpSgOOc6ntu0C14+fnaoloiInnYDAwO4eukC8nJuQRTFJx7v6qpGanoGUtIy4HF/Ak1VRTnOnDohabTV3d2FgvxcybmJySlYt3EL9DodtL29cHNzk5xTXVHOicr01JobHonsrKsj7vfw9MKzK1dPY0VERERERDQR0dHSxroGgwGNd+/O2In/s4Gx4MDgF2YjbHIDhQrGwv12a84FAHHxifDzD8Spo1+jva3VZr/ZbMKdhjrcaajDrRtZSEnPxMo1662NzomIiKZTXV0djh49ivb29lEdHxUVhcWLFyMmJgZyuRx6vR6nTp1Cfn6+5Ljy8nLJ9oULF/D222/Dz88PPT098PCQrgoOAKWlpWzORU8lmUyGiMhI1DzSsG6o51avgb//zF2YhIiIiIjoaTG0OZfJZEJDQ4NNVkCTpyVrDwBANEnnEogmAwSFE1qydtutORcAxMUnwD8gAMcOHURLS7PNfpPJhPq6WtTX1eLm9WtITcvA2o2bmQkQEZFdNNTX4+SJ42hvaxvV8eEREViwaBFiYmKtmcDZM6dROCQTqKqslGxfvnQRr772OvwDAtDb2wu1m9rm2qUlJWzORU8lQRAwNzwSNdWVIx6zbPlz8PNnZkZERERETy825yJycBGR0uCsrqbGTpU8JeqvALqWwa8t5vuDAgARsJgGm3NpW4D6a3Zr0CWTyZCcuQTBYREoyr2Opjt1IzY86dPrcPXsUWx64W12LiciomnT0d6G4sICFBcWSBpkjcTFxRWLlixFWuZ8yYp+giAgdl48vLy98eXnn2JgoH/Ea5QUFaKkqHDE/UaTEf19fVC7uY3tzRDNAiFhc7Bu8zZUlJbAYjZDoVRCqVRCoVTC3d0DialpcHJ2tneZREREREQ0Sv4BAXBzc4NWq7WO1VRXsznXFDHWXIJF2wKI93MCAJLcQFTC0tsMY80Vuzbo8vH1xUtvvIO8WzdRlJ+L3t6eEY8tzMtBUHAI4pNSprFCIiJ6mplMJpSVlSEvLw9VVaNbkCw6OhqrV69GaGioZNzV1RU7d+6EQqHA7du3RzzfYDDggw8+eOxrdHd3j6oWotlo246duHjhPDQdGiiVCmtuoFKpEBEZifj4BHuXSEREREREAHx8fODt7Y3Ozk7rWGVlJZtzTRFNyVkYupohQoRovp8JCDJAtEA0myAqVDB0NUFTct6uDbq8fXzx2tvv4fbNGyjIy0F3d9eIxxbk5yI4NBTJqenTVh8RET3dTCYTKivKUZCfj+pRZgIRkZFY+dwqhIaFScZdXV2xddt2KJVK5Ny6NeL5RoMBn378+8e+Rs9jMnSi2W7jlm24eukCNJoOKBQP5hIooFKqMCc8AnHMBIiIiIjoKcfmXEQOLiJqaHOukVetpElQemjw3+YHK90IgMIZMPUNbpuNgw26yg7arTnXA74BQVi5YSf02l7UVpagprwY2l7bh4d7ujrR0doE/6DQYa5CREQ0PhaLBb29PejUaNDVqUGnRoOO9nZoOtofO/nzUTKZDGkZ87F0+Uo4P6YxkH9AIF589XWcOHIIGk3HuOp1dnaBi6vruM4lmg3iE5MRn5hs7zKIiIiIiGgSCIKAqOhoFDyyMmxNdTWeW73ajlXNXsaCA4NfmI0YMTdQqGAs3G/X5lwAoFAosGDJUmQuWoI79bUoKSpATWUlLNbFSB4qKSpgcy4iIppUoihiYGAAnZ2d0Gg06OjoQHt7O9ra2tDe3g6j0Tiq6/j6+mLTpk2IiYkZ8RhBELBlyxY4Ozvj+vXrMJttf9aNhp+f37jOI5oN1Go1Nm/Zau8yiIiIiIhoFGJiYpCdnW3dHm3jaxq7lqw9AADR9HAugaB0hmjQAxAhmgwQFE5oydpt1+ZcACCXy7HomaVYuOQZ1NfVoig/D1WV5cPeJykqyGdzLiIimlSiKMJgMKBTo0FnpwYdHRp0dLSjo60dHR2jzwS8fXywdv16xMbGjXiMIAhYv2EjnFROuHlj/JmAry8zAXp6ubi6Yu3GzfYug4iIiIhoxmJzLiIHFzmkOVfTvUb09fXBxcXFThXNYvVXAF3L4NcPJqrI5IAgADIFYDEN/iNXAtoWoP6a3Rt0AYCrmzuSMhYjMX0RNG0taG+5h5zrFyXHdLQ1szkXERGNicViQU1VJVqam9Db2wNtrxY6bS/6+/sx0N8Po2l0gdkDCoUCKWkZmBefCFe1K7q7u+Hj4wsPT89RnR8UHIJ3/+APUV1ZgcqKMhgGDOjr06Px7p0nnisIAp5d+RxkMtmYaiYiIiIiIiKaqaJjYiTNuaq5sMeUcGm+Dou2BRDFwXwAGMwNZDJpbiAqYelthrHmit0bdAGDDdHDI6MRHhmNPr0ejXcacOvGNbS1tliPaW1ugsVi4f0SIiIak+7ubpSWlqKrqws9PT3o6emBTqcbzA4GBmCxWMZ0veDgYCxYsACRkZHQ6XSwWCwICwuDXC5/4rkymQzr1q3DkiVLcOvWLTQ3N0OpVKK4uBiiKD7x/ICAAKSnp4+pXiIiIiIiIiJ7iI2NZXOuadBTdh6GrmaIECGaBzMBQa6ATJDBIldCNBshmk0QFSoYupqgKTlv9wZdwODzkRGRUYiIjEKfXo+7dxpw8/o1NDfdsx7T2twMs9k8qnsuRERED/T09KCstBTd3V3o7elBb68WOp0W/f39MIwjEwgMCkLm/AUIj4hAn14Ps9mM0DFkAqvWrMGCRYuQl5ODlpZmKBQKlJWWjqoOXz8/pDETICIiIiIiohGwOReRg4uIjLIZq6upRkJSsh2qmeVKDw3+2/xwpRvIlINjMuX9iTciYDYONugqOzgjmnM9IAgCfAOC4BsQhK7ODtSUF1n3dbQ227EyIiJyRBfPnUHOrZuTcq3IqBisXr8BXl7e1jFvH98xX0cQBMTEzUNM3DzrWHFhPs6f/gYDhgHrmEKhgLuHJ7y8vOEfEIDE5BT4+vlP7E0QERERERERzSBRQxb2qKqssFMls5t73bHBL8xGPMwNVINjMpU0N1CoYCzcPyOacz3KxdUVMfPiERwWhg//++fWcaPRiE5NB++ZEBHRqHV3d+PXv/41+vr6JnwtZ2dnrFmzBvPnz7c2ivTx8RnXtdzd3bFq1cOJsJs3b8a+fftQU1MjOU6tVsPb2xs+Pj6Ijo5GUlISFAo+VkVEREREREQzX0xMjGS7ooKZwFTozN4LABBNj8wlkN+fSyBXWrMC0WSAoHBCS9buGdGc61Eurq6InRePsDlz8auf/bt13GgyoqO9DQGBQXasjoiIHElPTw9+9z+/RZ9eP+FrOTk7Y8XK5zB/wYKHi0dNIBNYvnKldbuvrw+HDh5ATbV0QTMXV1d4e/vA28cbkZGRSEhMglKpHPd7ICIiIiIiotmNT5EROThXtRohoWG413jXOlZcmM/mXJPMve0moLu/YrzFPPhvmRwQhMGvBQGQKQYn2lhMgwGbtgWovzajGnQ94OsfJGnOpWlrsWM1RETkiIoLCyZ0vlrthsTkFCQmp8DPP2CSqrKVlJKGhKQU6HU6GI0GODu7wNnFBcKDn+FEREREREREs1DcvHmS7YK8fDtVMnu5NF+HvL8NEHC/CRcGcwPZ/XsOsiG5gaiEpbcZxporM65BFzB4r8bd3QO9vT3WsZame2zORUREo1ZeXj6hxlyCICAyMhLp6elISEiYskkwrq6uePvtt9Hf32+t193dnY24iIiIiIiIyGHFx8dLtnNzc+1UyezVU3Yexu4mAIBoHswEBLkCMmGwgYhMkMEiV0I0GyGaTRAVKhi6mqApOT/jGnQBgw1JvLx90NWpsY413Wtkcy4iIhq16qqqCTfmCo+IQGpaGubFJ0ClUk1SZVIuLi549fU3MDAwAP39epkJEBERERER0VjxUyTRLJCSli5pzlWYn4cXX33DjhXNPr6NJwa/MD+y0o1syMPAMuX9CTji4Mo3ciVQdnBmNucKCJRsa3u70d+nh7OLq50qIiIiRyKKIgYG+kd1rJPKCV7e3vDy8YWPry98ff3g6+cHH1+/hyvbTDGZTAY3d/dpeS0iIiIiIiKimSA9I0OyfffuHbS1tcHfn42WJot73bHBL8xGPMwNhjwwLFNJcwOFCsbC/TOyORcABAQHS5tzNTchMSXNjhUREZEjGW1jLkEQ4OnpCR8fH/j6+sLf3x/+/v4IDAyEq+v05dXOzs5wdnaettcjIiIiIiIimiqZmZmS7ebmZjQ1NSE4ONhOFc0+ndl7AQCi6ZG5BPIhcwnkSmtmIJoMEBROaMnaPSObcwFAUHCIpDlXc9M9pGXMt2NFRETkSMaSCXh4esLb2xs+vr7w8/OHn58f/AMCoFarp7jKh5ycnODk5DRtr0dERERERESzC5tzEc0CKekZOHX8qHW7MI+r3Uwm97abUPW3Da5ybzEPDsrkgCBIDxQEQKYYnGhjMQ0GbNoWoP7ajGvQ5entB7lCAbPJZB3TtLUgZG6kHasiIiJHYXrk58cDi5Ysha+vH1zUamt45eLiChdXVwhDf2YSERERERER0ZSKmxcPFxcXyQOx+Xm5WLtuvR2rmj1cmq9D3t8GiOL95lsYzA1kQ+6ByIbkBqISlt5mGGuuzMgGXUHBoaiuKLdutzTds2M1RETkaIZmB4GBgZg/fz7c3d3h4uICJycnODs7c0V6IiIiIiIiokkWGxsLd3d39Pb2Wsdu376NrVu32rGq2aOn7DyM3U2ACIjmwfsfglwBmSBdnFQmyGCRKyGajRDNJogKFQxdTdCUnJ+RDbqCgkNQVlJk3W6+x0yAiIhGzzwkE/Dz90fm/AVwc3eDi/NgJuDETICIiIiIiIhmCdmTDyGimS4lLUOyXVSYD7PZbKdqZh/fxhODX5gfWelGphz+YOu4eH/lGwBlB6e4wrGTyWTw8QuUjLW3NtmpGiIicjTD/Z6RnrkAiSmpiIyKRkhoGHz9/OGqVrMxFxEREREREZEdKBQKpKSlScZyc3LsVM3s4153DAAgWIx4mBuohj/YOv4wNzAW7p/yGscjMChYst3e3gaj0WinaoiIyNEMzQ6Cg4OxaNEiJCQkICIiAsHBwfD29uYkHCIiIiIiIqJJJpPJkJEhnU9w+/ZtO1Uz+3Rm7wUAiI/OJZCPMJdA/nAugWgyAABasnZPeY3jERwcItnu6GjHwMCAnaohIiJHY7NgR1AQFixciPj4BIRHRCCImQARERERERHNImzORTQLpKSlS7b1Oh1qqirtU8ws4952E6r+tsENy/2HiWVyYKRGI4IAyO7fOLTcv9GobQHqr01toePg6x8k2da0NdupEiIicjRDV7oBwOCMiIiIiIiIaIZJT5dOxMnLZXOuyeDSfB3y/jZAFCGIj+QGshFyA9mQ3EAUYelthrHmyvQUPAb+gUGSRuuixYK2FmYHREQ0OkMn4jA3ICIiIiIiIpo+mZmZkm0255ocPWXnYexuAkRANA/e+xDkCsiE4adiyQQZhPsNukSzCSJEGLqaoCk5P201j5Z/YCBksofvQxRFtDITICKiUTKZmQkQERERERHR04PNuYhmgYDAIAQGS1czL8zPs08xs4xv4wkAgGAxwrrSjWyElW4ekD1c8Qbm+yvKlx2cqhLHzTdA2pyro60FoijaqZrpYzab0VBbjbqaKui0WnuXQ0TkkIaGaQAgZ6BGRERERERENKOkZ0gn4uTn5tmnkFnGve4YgKG5gerxJ1n3P8wNjIX7p6zG8VKpVPDx85OMtTQ32ama6dXd3YWykmI03WuE2Wy2dzlERA6JzbmIiIiIiIiI7Gf+/PmS7ZwcLtgxGTqz9wIARLMB1kxA/oS5BPKHcwlEkwEA0JK1e8pqHC+lUgl//wDJWFNjo52qmV5dXV0oKS5C4927zASIiMaJmQARERERERE9Tfipl2iWSE3LwOmmhxMkCvNzsevlV+1YkeNzb7sJVX8bAEAQ74cuMjnwyKrxwxIEQKYALKbBf+RKQNsC1F8DwpcOf05XPdCUCwRnAF7hk/guRja0OZdhoB/anm64e3pNy+tPN1EUUV9bjeuXz6O7q9M67uHhibjEZCSlZcLZ2cWOFRIROQ6zybY5FwM1IiIiIiIiopklIzNDsl1fX4eOjg74+vraqSLH59J8HfL+NkAUpbmB7Am5gWxIbiAqYelthrHmCpRRz454mllTB1NjDhShmZD7REzeG3mMoOBQdLS1Wbdbmu9Ny+vaS59ej2tXLqEgLwcWiwXA4H2uOXMjMH/RYswNj4DwpFyIiIgAcCIOERERERERkT0Nbc7V2NiIlpYWBAYG2qkix9dTdh7G7iZABMT7C5oKcgVkguyx58kEGSxyJUSzEaLZBFGhgqGrCZqS8/BJXDXiefrWGvRU34BH9GK4BkRN6nsZSXBIKFpamq3bzU2zPBPo68OVy5dwOztbkgmER0Rg4aLFiIyKYiZARDRKNpmAnJkAERERERERzV781Es0SySnpeP0yePW7YK8XDtWMzv4Np4AAAgWI6wr3ciesNLNAzLl4AQbiIDZONigq+zg8M25mguArP8EzAag8Esg5VUgYcckvYuRuard4eziiv4+vXWso7VpVjbnam9rwfXLF9B4p95mX09PN25dv4r82zcRn5SK1MyFcHP3mP4iiYgcyNAwTRAEyGSPf+CEiIiIiIiIiKbXvPgEODk5YWBgwDqWn5uL1WvX2rEqx+ZedwzA0NxANbqTZSppbqBQwVi4f8TmXKZ7eeg/+0+A2QBj3l44r/kbKELSJ+NtPFZgUDCKC/Ks2833ZudEHLPZjLzbt5B19TIGBvol+0wmE2prqlBbU4XAoGAsXPwMYufF8/4XEdETDM0O5HK5nSohIiIiIiIievrExcVBrVZDp9NZx27fvo3NmzfbsSrH1pm9FwAgmg2wZgLyUc4lkCsHswCIEE0GCAontGTtHrE5V0/tLdQc+H8hGgfQfO0zRO36/+ARuWBS3sfjBIWEALm3rduztTmX2WzG7Vu3cOXyJfT39Un2mUwmVFdVobqqCkFBwViy9BnEJyQyEyAieoKhi30zEyAiIiIiIqLZjHcLiWaJ1LQMyXZxYb51NQ8aO/e2m1D1D64ML4jmwUGZHBjtSiiCAMju9z+03L/hqG0B6q/ZHnv7A8CgA0z9gMUI5H8K3Ppggu9gNCUK8PUPkoyVFtzCQH//CGc4HlEUcf3KBRzY88mwjbkeZTQaUZh3G3t+/1ucO3UUHe2t01QlEZHjGTrBRqkY5QMnRERERERERDRtlEolUlJTJWN5XNhj3Fyar0Pe3waIojU3EAU5IBtlbiAbkhuIIiy9zTDWXBn28P6L/wEY9YPHGvXoP/dTWPo6J+OtPFZgcIhku7enG4V5ORBFccpfe7q0t7Xi49/9FhfOnbZpzDVUS3MTjh46gA9/+9/Iy7kFo9E4TVUSETkem+xAyeyAiIiIiIiIaLrI5XKkp6dLxnJycuxTzCzQU3Yexu4mQARE8/17HnIFZMLopmDJBBmE+428RLMJIkQYupqgKTk/7PF1h38Cy4AOosUEy4AONQd+CKNWMynv5XGChmYCvT3IvZ09uzKB9nZ88Nvf4Mw3p2wacw3V3NyErw8cwK9/9Uvcys5mJkBE9BhDMwEFMwEiIiIiIiKaxdici2iWSEmXNufS9vbi3t27dqrG8fk2ngAACJbBFWsAAZCN8Uah9Xjx/so3AMoOSo/J3w303gMeNAB7oOokcOPXYy17zAJD5ki2uzTt+Prz3+DCyYOoLivEQP/jA6iZTBRFXL1wBvm3bw4bEMplw6/KYLFYUFlWgn2f/x4nDu3DvbsNsypgJCKaDGaz9OeWXKGwUyVERERERERE9DjpGZmS7dLiYjtV4vjc644BkOYG4phzA9X9Lx7mBsbC/TaH9d/+FBjaiMugg37vd2CsGn7izmTx8fWDq1otGbtw5hQ+/p//xuXzZ3Dv7h2Hvmeu6WjHV3s+R6emw2afTDZydN7d1Ymz35zEB//9C1y/egV9T5jAQ0T0NBo6EUcuHz6PJSIiIiIiIqKpMX/+fMl2UVGRnSpxfJ3ZewEAotmAB5nAg2ZboyZ/OJdANBkAAC1Zu20Oa7zwAUw6aSMuy4AWRb98He2F34yx8rHx8fWDm5u7ZOzc6VP44L9/gfNnvkHjnTsOvWB8R0cHdn/2KTra2232PS4T6OrsxDcnT+AXP/svXLl0CXq9firLJCJySMwEiIiIiIiI6GnCWfREs4STk5PNmEzO/nvj4d52E6r+NgCAcL9plkWQQyYIY7uQIAAyxeCq9hbTYMCmbQHqrwHhSwePKT8y8vm1ZwD/eCDquXG8i9GJik9GVVkBeroeTvKxWCxoulOHpjt1yL5yDgHBofANCIKLqxtcXNVwcXWDs6srXFzUkCsUGOjvR293JwRBgJeP34xp0FJRWoTiglybcTd3DyxetgJRsfFob21BYd4t1FSWDxscNtTVoKGuBoFBwUibvxjhUTGPDeKIiJ4WDNOIiIiIiIiIHMPQ7EDGz/Dj4tJ8HfL+NkAUrbmBKMgHc4CxkA3JDUQlLL3NMNZcgTLqWethpnzbhl0AAPMABi79J0TRAlXsmvG+nceXKJNh6fLncObkMcl4b0838m5nI+92NtRubgiPjIanpxfUbm73/3GHq6sazi4usFgs6O3phlbbC09PL7h7eE5JrWNlsVjw9f6voNfrbPbFJyZj+cpVUKpUqCgrwa2bN9DVqbE5Tq/X4erlC8i+fg3JaemYv3AxPDxnxvsjIrK3odmBYobkxkRERERERERPi6GZAJ/rG5+esvMwdjcBIiCa79/vkCsgjDETkAkyWORKiGYjRLMJokIFQ1cTNCXn4ZO4ynpcyzXbhl0AIJr70XD0HwHRAr/UjeN+P48jCAKWP7caJ44ekoz39HQj59ZN5Ny6CbXaDVHRMfD08oab+2AeoFar4ebmDlFQQBRF9HR3QavthYeHJzw8vaak1rESRRH7v9oLbW+vzb7EpCQ8t3oNnJycUFZaihvXs6DpsF3Uo0+vx6WLF5B17SrSMjKwaPESeHl5TUP1REQz39DFvpkJEBERERER0WzGT71Es8Rwq3n4+vnboRLH59t4AgAgWIx4sNINhHF+u5QpByfYQATMxsEGXWUHB5tz3f4dYDE+/vzbv53S5lxKpQor1u/E6cNfYKDfdpV3UbSg5d4dtNy7M+z5coUC5kcesnZydkFSxmLExKfYvUlXQ221zdj8xcuQPn8RFMrBlYgCgoKxZuM2LFq6AgU52SgrLrB5aBwAWpqb8M2xr+Hp5Y0lzz6HiOjYKa+fiGgmswwJ0+z9PZ+IiIiIiIiIhtfe1ibZ9vNnbjAe7nWDjaoezQ1EmfKx54xIppLmBgoVjIX7rc25+rN+C+Bxq9CLMNz43ZQ15wKAhORUaDrakZN9Y9j9Oq0WJYX5w+6TyxWwiBaIjyyIEREVgyXProB/QOCU1DtaXZ0adGqkk2v8/QOwduNmhISGWcfSMuYjJS0DleVlyL6RhZbmJptrGYwG5Ny6ibycW0hISsbKVWvh4uo65e+BiGgm40QcIiIiIiIiIvtqG5IJ+DMTGJfO7L0AANFswINMQJCPMxOQKwezAIgQTQYICie0ZO22NudqOPUzPDYTEEU0nvnllDXnAoDE5BRoOtpxI+vqsPt1Oi0KC/KG3We2CBAhSjKB8MhoLHl2BQICg6ai3FHr7Oy0ycn8AwKwafMWhM2ZYx3LyMxEWno6KsrLkHUtC033Gm2uZTQacevmTeTcuoXE5GSsWbsOarV6yt8DEdFMZjIxEyAiIiIiIqKnh8zeBRDR5BjanMvN3d1m9Rt6Mve2m1D1D4Ywgjh4o9AiyIExrnRjJQiA7P4NRsv9pk/aFqD+GlB9+snnmw1AyaEnHzcB7p5eWLf9VYSGR0MmG9uPBfOQRlYD/X3IybqAY199jJqKYlgsj5tANLUG+vsl29Fx8ViwZJm1Mdej3D08sey5tXjj/T/E/MXL4OzsMuw1u7s6ceroQVy/fN6u742IyN6GNjJUcIU9IiIiIiIiohmpfUh24OfnZ6dKHJdL83XI+9sAUbTmBuJEcgPZkNxAFGHpbYax5goAwFR6/MnXMOgwUHBgfK8/SktXrMLKtevHvMK92WySTMIBgLqaKnz56Uc4dfQQujo1k1jl2PT39duMvfLmO5LGXA/IZDLMS0jEG++8j5deexMRkdHDXtNisaC4sACff/whmpvuTXrNRESOxCY74EQcIiIiIiIiomnF5lwT11N2HsbuJkAERPP9ex1yBYRxZgIyQWZt7CWaTRAhwtDVBE3JeQBA++2vn3gNc78WzVl7xvX6o7VsxXNYu2ETvLx9xnSexWK2yQTqa6vx5acf4eTRr9GpsWcmYLtw+VvvvCtpzPWATCZDfEIi3n3/fbzx1tuIjokZ9poWiwVFBQX46Hcf4F6jbRMvIqKnydD5ZAoF5xMQERERERHR7MUn4YhmiY4OaZjm68sJNuPh23gCACBYBleoAQRAmOC3SpnyfmMucXDlG7kSuP0/D5t1PUnxl0DijonV8ATunl5YsX47DAP9uHenDndqK9F0t87mZulo6bQ9uHHxG5Tm30LK/GcwJzJ23KHkeA0MDEi254RHPvEcZxdXLFiyDOnzF6GspBAFOTfR29Njc1x+TjbaWpqxcfsLUKpUk1YzEZGjsA3T+LGCiIiIiIiIaCZqb5dmB35+nIgzVu51xwBIcwNRZrsIxJjIVNLcQKGCsXA/zC0lAEazMIQIY8E+OKXumlgdjyEIAlLT5yMlLRPtba2orixHdUU5NB3tTz55GKIooqKsBJUVZUhKScPCJUvh5u4xyVU/Xv+AtDmXu7vHExe6EQQBc8MjMDc8Aq0tzci+cR0VZSU2C3h0d3fhi88+xsYt2xGfmDTptRMROQI25yIiIiIiIiKyLzbnmrjO7L0AANFswINM4EFzrXGTKwezAIgQTQYICie0ZO2G9k4hRpsJtGTtRtAzr02sjscQBAFpGfORmj6YCVSUl6GqvMwmZxqLyrJSVFWUIyEpBYuXPjv9mcCQhb7Vbm5wdnZ+7DmCICA8IgLhERFobWlBVtY1lBbbLlje092NTz/+PbZs24bklNRJr52IyBGYzMwEiIiIiIiI6OnBT71Es0THkDDNl2HamLm33YSqf/C/oyCaAQAWQQ5MtKmUIAAyxeBEG4tpMGAz9I7+fLMBKDk05Q26AEDl5IyImHhExMTDZDKi6U4dWpvuok+vQ59eiz6dDv19OpjNZsl5giCDKNqGgz1dGlw9ewzunl6YGxWHuZFx8PTxm5ZGXYYhk2ycnB4fpj1KoVQiOS0TiSnpqKksQ97tm+hoa5Ucc6/xDi6cPo61m3dMe+MxIiJ7GxqmyRmmEREREREREc1INhNxApgdjIVL83XI+9sAUbTmBuJk5AayIbmBqISltxmWjurRX8Ogw0DBgSlt0AUMTkTxDwiEf0AglixbAU1HB2qrK9Gp6YBOq4VO1wudVjvsCvSCTAZxyIQV0WJBUX4uSgoLEBEVhZh5CYiMioHqCU2yJsNA/9DcYGyvGRAYhC3bd+LZlc/h9s0bKMrPg9FktO43m804eewwPL28EBwSOik1ExE5EjbnIiIiIiIiIrKv1lbps84BAQF2qsQx9ZSdh7G7CRAB8cEzknLFhJ8TlwkyWORKiGYjRLMJokIFQ1cT+loqR30Nc78WzVl7prRBFyDNBJYtX4lOTQeqKiqg0bRD26uFTtsLrVaLvj697bkjZAIlhfkoKy5CeGQUYubFIyo6dnoygSFzCZ7UmGuogMBA7Nj5PFY+twrZN28gLycHRqM0Ezh6+DC8vLwRNmfOpNRMRORIhmYCnE9AREREREREsxk/9RLNEh1DVir39fWzUyWOy7fxBABAsAyuTAMIgDBJ3yZlysEJNhABo+0ElScq/nJamnM9SqFQYk5kLOZExkrGRVGEYWAAfXotDAP9cHF1g6ubOzRtzcjPvoq25kaba/V2d6E49yaKc2/Cw8sbYRExCAgKg29AEFTDNM0ymYzIv3kFnR1tUCiVcHJ2gZu7J+ZExsLL58l/ti0WC/R6nWRsPCGeTCZDzLxERMcloLQwH9cunoXZ8rAxWU1VBQpyspE2f9GYr01E5Mg4wYaIiIiIiIho5hNFEe1DmnP5+bE511i41x0DIM0NRJlyci4uUz3MDcwPrj8WIowF+6a8OddQPr6+8PH1tRk3m83Q67TQabUQBAGeXt6QyWTIu52N3Fs3YDAYJMdbLGbUVFWipqoScrkCEVFRmBsRheDQMPj4Dr/IR0NdDQpyc2AwDMDZxQWurmoEhYQiKiYOKpXqibXrtFrJttMYJ+I84OnphdXrNmDRkqU4eugAGu/ekfx3OHJwP95891twVavHdX0iIkfF7ICIiIiIiIjIvmwW7OBi32PSmb0XACCaDXiQCQjyScoE5EprFiCaDLCMIxNoydo95c25hvL28cXCJc/YjJvNZui0WrR1dEIQBHh4ekGuUKAg5xZysq9jYGBAcrzFYkZtdSVqqx9mAnPCIxEcGgZfP/9hM4E79bXIz7ktzQSCQxAVO29UmUBv75BMYAwLfT/Ky8sL69ZvwDNLl+HrAwfQUF/3yPuy4MD+fXj/238ANze3cV2fiMhR2WQCcmYCRERERERENHvxUy/RLNHRLm3O5ePH5lxj4d52E6r+wUBSEAebL1kEOTDBlW6sBAGQKR5OtBkrswEoOTTtDbqGIwgCnJydbSat+AeFYs3Wl9B0pw75t66iq6Nt2PN7ujpRkpeNEmQPhnFePvAPCoWXjx+cXVzh5OyCrPMnoNdpbc4tyrkOL19/RMTEY05kLJxdXCGKoiSQ6+rUoKQg1+ZGr5e3z4Tec2JqOvwCAnH8672SwPDG1YvwCwhE/LzYx1yBiGh2MZvMkm05wzQiIiIiIiKiGae3t9emIZIfs4NRc2m+Dnl/GyCK1txAnMzcQPZIbjDe7MCgw0DBgWlv0DUcuVwOdw9PuHt4SsYXLX0WKemZyMm+jvyc2zCbTTbnms0mVFdWoLqyAgDg5OSEoJAwBAWHwMPTE2o3N7S3teHKhbM25xbm5UCpVCIqJg7zEpMQFBwK5ZBJOSbT4PWLCvIk4z4+tk3GxsLN3R0vvfYmzp46gcJHrt3b24Njhw/ihVden9D1iYgcDZtzEREREREREdlPX18fdDrpwsZszjV6PWXnYexuAkRAfHAfW64YtmnUeMgEGSxyJUSz8f71x54JmPu1aM7aM+0NuoYjl8vh4ekJuZOrZHzBkqVITsu4nwncsrlfBAyfCQQGhyIoJASenl5wVavRqdHg0rnTNucW5uVAcfokomLiEJ+UPGwmYDabUVlRjvy8XMm4r98EMwE3N7z+5ps4dfIEcm/fto5re3txcP9+vP7mmxO6PhGRo2EmQERERERERE8TfuolmiU0Q5pz+foyTBsL38YTAADB8mB1egEQJvlbpEx5f4LNOBV/OSOacz2OIAgImRuJ4DkRuFNbicLb19DT1Tni8aIooruzA92dHaN+ja6ONuR1tCHvxmUAgKebE5RKJZQqJ8hlMnR3d9mc4+HhCVf1xFejCQgKxuoNW3HyyAGIomh9D2eOH0aA7ztsikdETw2TmWEaERERERER0UzX3ma7gIIfJ+KMmnvdMQDS3ECUKSf3RWSq8TfmAgCIMBbsmxHNuR7HxdUVy1auRlrmAmRfv4aSwgJYLOYRjx8YGEB9bTXqa6tHdX2j0Yjy0mKUlxZbx1ydnaBUqaByckJ/Xx/6+/tszgsJCxv7mxlCLpdj7cbN6OrqxJ2Geut4Q30dzn1zErt2bpu0yVtERDMdJ+IQERERERER2U/bMJkAm3ONXmf2XgCAaDbgQSYgyCc5E5ArAfODzGE8RLRk7Z4Rzbkex9nFBUtXrEJq5gLcun4NxQX5T8wEGupq0FBXM6rrm0wmVJSVoKKsxDrm4+4CpUoFJycn9PX1ob/PNhMIDZ14JiCTybBh4yZ0ajSoq621jt9pqMfJE8exbPVGZgJE9NQwMxMgIiIiIiKipwg/9dKM4eY0yeHFOGgHjPYuYdza26WBmu8kNAlqbNdP+BqTQXO3e0qv76fLhVLfChGATBy8OWiBHKIIQHwYfokTDkoETOgKZgP68/bDPXb7BOuYHKH+6sfuTwhfhHUrF6K1uQmV5aWoKi9Db2/P1BRjMcHYb4IRgJNSbrM7bl4c3F1VtueNQ1JSArTdK3Dz2hXrmGg24OBXu/H8y2/Ax3diq+rMFmpn+39PJ6KpMzRMkzNMmzK6fsf9/ZSIiIiIiIgmV3ff2BZ/qLvbLNl2cnaGSeY05usM1dimm9D5k6W+sv3JB42Tny4XMl2LbW5gETF00owoyMb/QgIAmWJiC3sYdOi99RWCnn19/NeYJmpnX2zdtg1r161DdWU5yktLUV9XA4vFMumvZTQZYTQZodcP/+dVJpNhTnjEpLyWTCbD1h278NnvfyfJQfLzcuDuqsK69RvsPhlnJuSwRDS7iaIIs1k6yVIut81tiWYr/qwlR+DIz8URERER0ZO1trZKthUKBby8vOxTzBSYys9dmpKzMHUPZiri/YVLBbkCsmHu/4vjbqw1uAi2aG3QNT7mfi0aLn8OecrMWLQjxNtl5J3eLoibsxP92zaisqIcpSUlqK2psbmHNBmMRiOMRiP0uuEzAUEQEBkVNSmvJZPJsOP5Xfjodx+gp/vhPJf83FzIZDJs3LTZ7pnARLPA2cbThc84E43WWL5/aPsNEB+Zc6czivz+Q0REMxZ/JyQiIqKJmsDT4kQ0k3S0Syeh+PpxpZvRCu0+BwAQxIc3AUVM/oPCgtkw4Ws4V+ybhEqmjyAICAwOwbPPrcE73/lfePG1t5C5cDGCQ8Mgk43uv7GLqytS0jOhdnMbVw1zwiOx8Jll4zp3JIueeRYRUTGSMb1Oh6+/2o1OjWZSX4uIaCYy2ax0wwk2RERERERERDNNx5BFPfz8/O0+GcBRTFduAACwjH8izyARKD0wKaVMF2dnZySlpGHXy6/iD//kz7Fh81bEJybDw8Nz1NdIz1yAiMhoyGRjj7udVE5Yu2ETPD29xnzuSFzVamzducumEc2tmzdx9sxpyYPpRESz0dDcABicBExERERERERE06OtTZoJ+PszExitlqw9AADRZMDgAh0CIJ+iZmATXqxChObmnkkpZbo4OzsjJTUNL7/6Gv70z/8CW7ZtQ1JyMjzH0Dwuc8ECRMfEjCsTUKpU2LBpM7y9vcd87kjUajV2vfCizf2v3Nu38c2pk8wEiGjWs1gsNt/rmAkQERERERHRbMZPvUSzhKZDGqj5+vnZqRLH4qfLhbOpAwAgw+ADwxYogKkII8VJWAHAYoSq8jAMsdsnfq1pJggCgkPDEBwaBmDwAe22lmY03WtES/M9aHt6oNPpoNNqIZfLEDY3AglJKYiKjYMgCFixeh0a7zagvKQY1RVlMBhGbnbm4uqKeQlJSExJm5JGdYIgYMOW7Ti0/0s032u0juu0Wny9dzeef+V1eHn7TPrrEhHNFOahzbnk/FhBRERERERENNN0dAxd1IO5wWhMa24AAJiEFeKNemhzv4JbxksTv9Y0c3FxQXJqOpJT0wEAvT09uNd4F41370DT0QGdthdarRYDA/3w9PJGbNw8ZC5YBDd3dwCD9+XLSktQWlyIluamx77WnLnhSE5JQ2x8ApTKyZ9YFRIahs3bduLY4YOwPDLB6ub165AJMqxas4aT4Yho1mJzLiIiIiIiIiL7Gq45Fz2ZpuQsDF3NECFCNA/e3xDkCsiEsTeBGhVx4pmAZUDn0JlAWnoG0tIzAAA9PT1ovHsHd+/eRXtbG7RaLbRaLfr7+uDl7Y24uHlYuHgxPDw8AAA6nQ4lxcUoKixE0yPP8A9nztxwpKWnIT4hESqVatLfS0hoKHbs2oWD+/ZJMoHb2dmQyWRYu249MwEimrWGywTkzASIiIiIiIhoFuOnXqJZwGKxQNPRIRnjJJvRCe0+BwAQHmmcJUI+0uHjJphHbiQ1Vs4V+xyyOddQCoVC0qzrgQerJwwNo2QyGebMjcCcuRFYvX4T+vr0MBoMMBgMD/9tNMDF1RUhoXNsVqefbConJ2zf9TIO7ftCMuFHq+3F13v3YNerb8DD02tKayAisheTWRqoyab4ey4RERERERERjV1Hu7Q5l48vc4PRmK7cAABgmqzsQIQ+Z69DTsQZyt3DA/M8EjEvIVEyLorisJNY1G5umL9wEeYvXASDwYD+vj4YjQYMDAzAaDTCMDAAi8WCwOBgeHl5T3n9cfEJsFgsOH7ka8lq0dezrkEmk2HlqlWcjENEsxKbcxERERERERHZF5tzjU9L1h4AgGgyABABCIB88hd3AACLcWCSrjR7MgEPDw94JCYhITFJMj5iJqBWY+GiRVi4aDAT6Ovrg8FggGFgAAaDAQOGAYgWCwKDguHjM/ULbc+bF4+du3bh6wMHJA26sm/cgFwm56IdRDRrDV3oG+Bi30RERERERDS78VMv0SzQ3d1l87Crry8DtSfx0+XC2TTY1EyGwf9+FiiAqQhARNsbj+NmMUJVeXhWNOgazmgCKJlMBrXaDVBPQ0GP4eTsjB0vvoqvv9qD1pZm63hvbw/27/kMK9asR1RMLEM1Ipp1TCbp6m2cYENEREREREQ083S0Syfi+PoxN3iSac0NgEnNDsQBHbS5X82KyTjDGc19dpVKBZVKNQ3VPF58YhJEUcSJo4ck49euXkFPbw/WrF0HtdrOAQcR0SRjcy4iIiIiIiIi+2ptbZVssznXk2lKzsLQ1QwRIsT7C5YKcgVkgmxqXtDCTGC0HCoTSEjE9p0WHDp40GbRjl5tL9asXQc3Nzc7VkhENPmGywTkzASIiIiIiIhoFpuiu8ZENJ3OnjphM+bj52eHShxLaPc5AIDwyOQXEfJJfx3BbJj0azpX7Jv0a9L4PGjQ5ecfIBnXantx/NB+HDnwFbo6NXaqjohoaljM0uZcDNOIiIiIiIiIZhaTyYTzZ76RjPlxIs4TTVduAAAwTXZ2IEKfs3eSr0njlZCUjI2bt9lMICoqKMCvf/VL3MrOhsVisVN1RESTzzwkNwDYnIuIiIiIiIhoupjNZhw/flwyFhAQMMLR9EBL1h4AgGgyABABCIBcOSWvZTEOTPIVmQnMJIlJydi+c6dNJlBcWIhf/+qXyL55k5kAEc0qJjMX7CAiIiIiIqKnC5tzETm4/v5+/MuP/49kLH3+Ari4uNipIsfgp8uFs6kDACDD4E1BCxTAKFZZGTNx8la5sbIYoao8PPnXpXFxdnHBzpdeg+8wk9vqa6vx+UcfIOvKRRiNRjtUR0Q0+YaudqOQM0wjIiIiIiIimkn27v4UVRXlkrElS5+1UzWOYVpzA2BKsgNxQAdt7leTfl0an8SUVGzeutVmfKC/H9+cPIGPfvcB7t65Y4fKiIgm39DcQCaTQSbjI0lERERERERE0+Gzzz5DUVGRZGzlypV2qsYxaErOwtDVDBEixPsNRgS5AjJhiu5nWJgJzHZJySnYun27TYMuw8AATp86iQ8/+B801NfbqToiosllNtn+XJPLp2jRKyIiIiIiIqIZgLPoiRzcxx/8Bo13pQ/u//lf/a2dqnEcod3nAADCI5NfREz+jUDBbJj0az7gXLEPhtjtU3Z9GhsXV1fsfOk1nDp6CHcbpMGZxWLGrevXUFZUiNA5c+Hj6wdvXz/4+PrB08uLD6YTkcMxD1ntRs6VboiIiIiIiIhmjD69Hv/2Tz+SjKWkpWPNhk12qsgxTFduAAAwTVV2IEKfsxduGS9N0fVprNLSMyCXy3HyxAkYBgYk+1qam/HJ7z9CeEQEAgID4efnDz8/P/j5+3MRHiJyODaLejA3ICIiIiIiIpoW/f39+Pu//3vJWGpqKnbs2GGnihxDS9YeAIBoMgAQAQiAXDklr2UxDjz5oHFhJjDTpKSmQSaT4cTx4zaZQGtLCz775GPMDY9AYBAzASJybMNlAkObExIRERERERHNJnwajsiBdXd34Wf/9s+SsSXLlmP1+o12qsgx+Oly4WzqAADIMHhD0AIFMBU3AsXJX+XGymKEqvIwG3TNIK6uaux86TVUlJXgyoWz0Ot0kv1abS/KS4slY3K5At4+PvC536xrbkQkAoNDprNsIqIxsw3UuNINERERERER0Uzxu1//Ei1NTZKxv/vhj7hIwGNMa24ATGl2IA7ooM39ipNxZpDklFSER0Ti3JnTKC4qstlfX1eH+ro6yZibu7t1Uk5gYCDmxSfA2dl5miomIho7NuciIiIiIiIiso9f/OIXuHNHutD3T3/6U8jlfKZvJJqSszB0NUOECPH+QqWCXAGZMEU5ioWZwNMkKTllMBM4ewZFBQU2+xvq69BQXycZU7u5wc/PD/4BAcwEiMghmE1mybZczkyAiIiIiIiIZjd+8iVyYL/6z39Hd1enZOzvfvgP7Db/BKHd5wAAwiOTX0RMfgApmA2Tfs2hnCv2sTnXDCMIAuYlJCEyKgY3rl1Gfu5tiBbLiMebzSa0t7Wiva0VAHD96iXMS0jC8lVr4eLqOl1lExGNCSfZEBEREREREc1MnZoO/PI//00ytmLVGix/brWdKnIM05UbAABMU50diNDn7OVEnBnG3d0dO57fhfSMTHxz6iTaWlsfe7y2txfa3l7U1dYCAC6cP48NmzYhPj5hOsolIhqzobkBJwATERERERERTb3Ozk785Cc/kYytWrUKGzZssFNFjqElaw8AQDQZAIgABECunJLXshgHpuS6DzETmInc3NywfcdOZGRk4tTJE2htaXns8TqtFjqt1rqQx/lz57Bx0ybEJyROQ7VERGNnMjMTICIiIiIioqcLl8gmclD3Gu/ig1//QjK2ZcfzyFywyE4VOQY/XS6cTR0AABkGbwZaoACmoqGZOHWr3FhZjFBVHp7616ExUzk5YfmqtXjt7fcROmfumM4tLy3G7o8/QHVF+RRVR0Q0MWabSTZszkVEREREREQ0E/zs3/4Zvb09krG/++E/2KkaxzCtuQEwLdmBOKCDNverKX8dGrvwiAi8/+0/wNr1G6Bychr1eTqtFge++gpfH9gPnU43hRUSEY0PF/UgIiIiIiIimn7/9E//hM5O6ULfP/3pT7nQ92NoSs7C0NUMESLE+41FBLkCMmGKplZZmAk8zebMnYv3v/0HWLdh45gyAb1OhwP79uHAvq+YCRDRjDR0LgEzASIiIiIiIprt+MmXyEH9+09/jIH+fuu2XC7HX//gh/YryEGEdp8DAAiPTH4RMfkd+gWzYdKvORLnin0wxG6fttejsfH188fzL7+O1uYmtDQ3QdPRbv2nT68f8Ty9Tofjhw8gNj4BK1avg6urehqrJiJ6PJPZLNlmoEZERERERERkf3ca6vHxB7+RjO188RUkp6bbpyAHMV25AQDANF3ZgQh9zl64Zbw0Ta9HYyGXy7Fo8WKkpqWhtqYa7W3taG9vQ1tbGzQdHbBYLCOeW1JcjLq6OmzYuBHxCYmcZEdEMwabcxERERERERFNrzt37uC//uu/JGMvv/wyFi5caKeKHENL1h4AgGgyABABCIBcOSWvZTEOTMl1bTETmMlkMhkWLlqElNRU1NXWoK21De3tbWhvb4emowPmIc/jPqqstBT19fVYv2EDEpOSmQkQ0Ywx9HuXnJkAERERERERzXL85EvkgCrKSrH3808lY2+88z6iYmLtVJFj8NPlwtnUAQCQYfDhYAsUwFSEFOLUr3JjZTFCVXmYDbpmMEEQEBgcgsDgEMm4Xq972KyrvR0VpcUYGJAGsZVlpbjbUI+Va9Yjdl7CdJZNRDQiCwM1IiIiIiIiohnnX3/yDzAYHjZ/UiqV+P4P/l87VjTzTWtuAExrdiAO6KDN/YqTcWYwZ2dnJCQmScbMZjM0Gg062tvQ3taO+vo61NfVSY7R63Q4uH8/5sUXY8OmzXBzc5vGqomIhjd0Ig6bcxERERERERFNrR/+8IeSZ44VCgV+/OMf27GimU9TchaGrmaIECGaB+/XC3IFZIJsal7QwkyAHnJ2dkZ8QiLiH5kOYDab0dnZifa2VrS3taOhoR51tbWS8/r0ehw6eBClJSXYuHkLMwEimhFsFuyQT9HiV0REREREREQzBJ+GI3IwvT09+PM//o5k1WxXtRrf+/7f2rEqxxDafQ4AIDwy+UUG8+gnw0xjv62xcq7Yx+ZcDsjVVQ1XVzXC5oQDABYsfgbnT59CXU2V5Lg+vR4nj3yNyvJSrFyzHmo1QzUisq9Hfw8BBlf2IiIiIiIiIiL7Ofr1ARzYu0cy9va3voO54RH2KchBTDg3AADjZFc1WUToc/ZyIo6Dkcvl8Pf3h7+/P5AALBOXo7ioEN+cOoX+vj7JseVlZaivr8eGjRuRmJQMYaqayhERjQJzAyIiIiIiIqLpc/DgQfz+97+XjH33u99FTEyMfQpyEC1ZgzmKaDIAEAe/tphhHtDasarJwkzAEcnlcvj5+cHPzw9IAERRRElxEb45dQp9er3k2IrycjQ0NGDd+vVITkllJkBEdiUyEyAiIiIiIqKnDJtzETkQvU6Hd17Zhfyc25Lx7/zxnyIgMMhOVTkGz75yOJs6AAAySZct0T4FTTaLEarKw2zQ5eDc3D2w9fkXUV5ajEvnTmOgv1+yv7qiHHcb6pGWuQAJSSnw8PR67PV6urtwM+sqtD09AAC5QgFfPz/4BQQibG44XF3VU/VWiOgpI4qz5OcpERERERERkQM6dfwI/q8/eFfy+dzN3R1/+pfft2NVM9+szw0AiAM6aHO/4mQcByYIApJTUhERGYVTJ46jvKxMsr+/rw+HDh5EQX4+MubPR2xsHOSPWZlaFEXk5uaitLQUZrMZAODu7o6goCCEhoZizpw5nNBDREREREREREQ0gx07dgyvvPKKpFG2Wq3G3//939uxqpmvu+YWDF3NECFCND+SCYiWkU9yMMwEHJ8gCEhKTkF4RCS+OXkCZaWlkv39fX04cugQCgsKkDl/PmLj5j0xEyguzEdleTnM9//cq93cEBAQhKDgEISEhTETICIiIiIiIiIiGgU25yJyEH19fXjv9Zdw8/o1yXho2Bx894//zE5VOQ61ofH+V7NnUs1QzhX72JxrFhAEAfGJyZgTHoGLZ06hurJCsn+gvx83r13BzWtXEDY3HAlJKYiOi4dSqZQc193Vif1ffAadVrqaU11NFQBALldg2cpVSM2Yz1CNiIiIiIiIiIjIQZ0/8w3+6L23YDKZJON//v2/g6+fv52qcgxPQ24AiNDn7OVEnFnAzc0Nu158CaUlxTh18iT69HrJ/tqaGtTW1MDF1RXJKSlIS0tHQGCgzXXOnz+PS5cu2Yzn5+cDAEJDQ/HSSy/By8trSt4HERERERERERERjd/p06fxwgsvwGg0Ssb//u//HoHD3A+kh/paKge/EEXM3lyAmcBs8SATKCstwckTJ6DX6ST762prUVdba80EUlPTEBgUZHOd69eu4NrlizbjJSgEAAQGBWPrzl3w8vKemjdCRE8NLvRNREREREREsx2bcxE5gIGBAfzBW6/i6qULknE//wB8vv8w3D087FOYA2lXpyOk9zLklgGYBedxXUMmlz3xGMGkf+IxU8ZihKryMBt0zRJqtRs2bd+FyvJSXDz7Dfr7+myOudtQj7sN9bh49hvEzEtAYnIqgkJCodfrcGjflzaNuR5lNptw6dxptDY34bl1G22aexEREREREREREdHMdvXSBXz7rVdhMBgk4+986zv4zh//qZ2qchyTkRsAgFzx5OwARvtlB+KADtrcrzgZZxYQBAGJSckIj4jENydPoLSkxOaYPr0e2TduIPvGDQQFBSM1PR1Jyclwc1Li+vXrwzbmelRjYyN++9vf4sUXX0RUVNRUvRUimoWGLgbEiThEREREREREk+vixYvYsWMHBgYGJOPf/e538f3vf99OVTkO74Tn0HbrACyGPsid3MZ9HXEUjb0sA7onHjNVmAnMLvEJiZgbHoHTp06iuKjIZv/QTCAlLQ1JycmAoELu7exhG3M9qqW5CZ///kNs2fE8IiKZCRDRGAzJBIiIiIiIiIhmOzbnIprhjEYj/tf7b+HC2dOScW8fX3zx9THExM2zU2WOxaDwQUHQn8BPl4s53Wen5DUEs+HJB00x54p9bM41iwiCgLj4RITNDcfFs9+gqrxs2OMMBgNKCvNRUpgPd3cPNDc3QalUQqVSPfE1ykqK0N7Wii07X4CHp9ckvwMimq04yYaIiIiIiIjIvm5mXcO7r72Igf5+yfirb72Df/jnf7f57E62piM3AACY7J0diNDn7OVEnFlErVbj+RdeREJiCU6dPDniQh3NzU1oPtmEs6e/gYebGg0NDfDx8Xni9we9Xo9PP/0Ua9euxdKlS/n9hIiIiIiIiIiIyM6ysrKwdetW9A1Z6Pfdd9/Fr371K97DGwUnr2DEvfUzdJacR0vW7il7HYtx4MkHTSlmArONq6srdjy/C/GJiTh5/PjjM4HmJpw7cxpQOKHx7h14eXkDT/j20N/fhwN792DZ8uew6BlmAkRERERERERERMNhcy6iGay3pwd/+Sd/iFPHj0rGPT29sPvAYcQnJtmpMsdkUPjgnuca3PNcM67zk1ODH7vf4+hb47rupLIYoao8zAZdDkjT0YHOjnaIoghBJkNAYCDcPTwBAK6uamza9jxaFzWjtKgA5aXFNpPuAECv0+HG1csQRRHzEpOh8vGx7lu09FlYzGa0NDfjTn2t5Lz2tlZ88elH2Lh1B+ZGcNUbIiIiIiIiIiKimezKxfP49luvok+vl4zvevk1/PQ/fgGZTGanyhzPRHMDAFj6zNzHH/DFy+O+9mQRB3TQ5n7FyTgOxmg04u6dOxgYGMwDXF3VCA0Lg1wuBwDEJyQiKjoGpSXFyM/Lx907DTbXsFgsqKurRVVFBQICAuDr62vdN2fOHCQkJKCtrQ01NTXo7u627hNFEadPn0ZjYyN27NgBJyenKX63RERERERERERENJwLFy5gx44d0A5pyPPqq6/igw8+YCYwBk5ewQha+jqClr4+7mtoB4yP3V/xbxvGfe3JwkzAMQ3NBFxcXBEaFgaFYnDa37x58YiMjEJZaQny8/Jxp6He5hqiKKKmphrFJaXw8fFFeuYC677gkFDEzUuApqMdDfV16O7ukpx35dJ5tDQ3YcOWbcwEiGjMuNA3ERERERERzXZszkU0A4miiBNHD+Hv//ov0dLUJNnn5u6OT/d9jZS0DDtVR8NxKvw9IJrsXQYAwLliH5tzOZiSwnycPXXcZjwgMAjRsfMQFRMHHz8/BAQGISAwCMtWrkZNVQUKcnNQV1MJo9GIzo4ONN27CxEinJyc4OXtDQDw9PLGC6+9CbXazXrd6opynDl5FAaDwTo20N+Pw/v3YsmzKzF/0RKuekNEY8JAjYiIiIiIiGjqaTra8aP/5++wd/dnNvu27tyFf//lb6xNe2iGuP07ABZ7VwFAhD5nLyfiOBCj0YiPP/oQrS0tknEnZ2fExMZi3rx5iIqOgUqlQlp6BtLSM9DR0YG8nBzk5t5Gp6YTAwMDqKuthU6nhUqlQkhIiPU6a9aswfLly63bAwMDOHjwIMrKyiSvV1JSgra2Nrz66quSxl5EREMNzRaZGxARERERERFNTEdHB77//e/jww8/tNm3a9cufPLJJ8wEZpiWs78EMwEaD5PJhE9+/xFampsl4yonJ8TGxmJefLw1E0hNS0dqWjo0Gg3ycnKQk3MLXZpO9A8MoL6uFlrtYCYQFBwK3L9lt3T5SjyzTJoJnDp2BJUV0kygsqIMHe1t2PHCS/Dx9Zvy901EjovzjYiIiIiIiOhpw+ZcRDPMnYYG/Nmf/ilOn7Rt1OPi6oqPvziAzAWL7FAZPUreXgxl4zUYQ5fC7JcEp/qz9i7pIYsRqsrDbNDlQG7dyBp2vLWlGa0tzci6chHePr6YEx6B/r4+dHd1oqtTg4GBAQgQ0NPVBU1HO0RRhCAI8AsIQFRMHFpbmrDjxVckjbkAIDpuHrx9/XD80H50ajqs46IoIuvyBbQ238OaDVvg5Ow8lW+biBwYAzUiIiIiIiKi6SOKInZ/9in+9q//WnI/74ENm7fi57/9yLpyNtlJfxfQmA3o2oG5SwGvcKDylL2rshIHdNDmfsXJOA6isqLcpjEXMLjQRnFhIYoLC6FQKBAVHQ13Dw90ajTo7OxEd1cXzGYzBgwDaGlphl6vBwAolUqkpKTAaDQiKSkJzz77rOS6Tk5OeOWVV3D58mWcP39e0lSnra0Nv/3tb7Fz504kJCRM7RsnIiIiIiIiIiJ6yomiiM8++wx/8Rd/gfb2dpv9W7ZswZ49e6BUKu1QHT1g0nVCW50FU08r3OathLN/JLrzDtu7LCtmAo6lqqrSpjEXABgGBlBcVITioiIoFApERkXB08sLmo6OIZmAAa0tLdZMQKFQID4xERaLBdGxcViy1DYT2Pb8C8i+noUrl6SZgEbTgd0ff4T1m7cidl48nxcmIiIiIiIiIiICm3MRzSj7v9qLP/7D70Kn09nsc1Wr8eHne7F46TI7VEaPUty5CNf8/wEgQnXnIgw+8YBosndZEs4V+9icy0EYDAZ0d3U+8bhOTcewE+9UTk4ICZuD4NAwaHt70NbaAj//QMgVcrz69vtwdVUPez0fX1+8/MY7OHPyKKorKyT7qisrcPdOAxYuWYaU9ExO6iMiG4JMJtnWtLcjKjrGTtUQERERERERzV49PT14+/XXcPbM6WH3r1m/Eb/68FNOwrG33iYg67+AzloAIlB1CvBLAGCxd2WPEKHP2cuJOA6ipdm2MddQJpMJFeXlNuOCIMDH2wc+3j4wmkxoa22FxWSERqPBW2+9hcjIyGEn0wiCgBUrViA4OBj79+9Hf3+/dd/AwAC+/PJLREdHY+3atQgODp7YGySiWUc2JDfo6uqC0Wjk7yhEREREREREY9Db24tXXnkFJ06cGHb/xo0bsW/fPqhUqmmujB5l6GxE0/F/xEBrFQCgM+8QXMLSwEyAxqt1lJlAZUWFzbggCPD29oa3t7c1E9Dq+9Dd3YVdL72K8MioETOBRc8sRUBQEI4dOoj+/j7rvgHDAI58vR/hEZF4duUqBAWHTOwNEtGsMzQT6OnpwcDAAJycnOxUEREREREREdHUkj35ECKaDlevXMG333t32MZcK9esxekrN/HsylV2qIyGcinZDUAERAAQoeootnNFw7AYoaqcOavv0Mj0Ou2kXEcQBLh7eCI6Lh7LV6/Fuk3bRmzM9YDKyQmbtu/CM8+utAndBvr7ceXCWXz2u9/g4tnTKCsuRHtbK/r0elgsFlgsFuj1OlgsMylIJqLpMjRoz7l1E2az2U7VEBEREREREc1OFosF33r37WEbc7m7e+DH//If+HD3V3zAdSaoPAn03MX94AAw9QP3su1a0nDEAR20uV/ZuwwaBe0kZQdKhQIhISFYsmQJvvWtbyEqavhJOI+KjY3Fd77zHQQGBtrsq66uxm9+8xvs3r0bV65cQXV1Nbq7u2EwGCCKIgwGA/r6+oa5KhHNdiEh0tygr68Pubm5dqqGiIiIiIiIyPFYLBa88847wzbmcnNzw89+9jMcPXoUzs7OdqiOHtWVdxiGjgZAFAFRhGjqh776qr3LssFMwHFMdiaQMX8hXn3jHURERT8xE4iIjMKb730LgYFBNvvq62rx+ccf4sDeL3Dj2lXU1dagu7uLmQARIXDIQj4DA/0oKsi3UzVEREREREREU09h7wKICGi8exdvvf4qTCaTZNw/IAA//Mm/YPuuF594U5ymh6ryEASj9v78Got1ns1M5FyxD4bY7fYug57Azd0Drmo19MM05hstQSaDs7MzQkLDsGjpcvj5B4z+XEHAgiWDq96cPHoIA/39kv29vT0oyL1lcw4AiKIIhUKBlWvWIzElbdz1E5HjyZy/EOWlD5tT9vb2ID/3NjIXLLJjVURERERERESzy09/8mOcPH7cZnzrzl344U/+matUzxSdtUBzPmA2DE7EgQiIM3VRAxH6nL1wy3jJ3oXQE4SEhKIwf2IPsKucnODh4YGU1DSsXvEs5HL5qM/18fHBt771LRw5cgSFhYU2+ysqKlBRUSEZk8lk1gU9QkND8eabb8LFxWVC74GIHIevry9iY2NRWVlpHbt69SpSUlL4vYCIiIiIiIhoFP7pn/4JBw8etBl//vnn8bOf/QxhYWF2qIqG6m+tgr7uFkTTwMNMwMxMgCYmJCQUeTk5E7rGg0wgKTkF8WkLoFCMfrqgp6cXXnnzHZw5dRwlRbaZQG1NFWprqiRjj2YCgUHBeOHl1+Di6jqh90BEjsPLyxvRMXGornqYF96+eR2JScn8XkBERERERESzEptzEdnZwMAA3nztFbS1tkrGd738Gv7PT/8VXl7edqqMhuNU82Ai1EwN0R5hMUJVeZgNumY4hUKBHS++ilNHD0HT0T7sMWo3N4RHRsNgGIBa7Q4vb294ennB08sbrmo3KJXKCTfwmxsRhVffeg9XLp5DdUX5Y48VxYdd6UwmE86dPomwueHw8PSaUA1E5DhCwsIQGjYHjXfvWMcunD0NZ2cXJCan2LEyIiIiIiIiotnh2NEj+MmP/kEy5u3ji//45W+wduNmO1VFw6q9AOjbH07CmeHEAR20uV9xMs4Mlzl/PrS9vci6dtU6uWWoqOhoqN3cYLFY4OPtAx9fH3h7+8DTywvOzs6SZlxjacz1gEqlwq5duxAdHY2zZ8+it7f3scc/WmdjYyNOnTqFnTt3jvl1ichxLVu2TNKcq7u7G5988gnefvttNugiIiIiIiIieowTJ07gBz/4gWTM29sbH330EXbs2GGnqmg4PcWnYextw2AewEyAJkdaejp6e3pw7eoVmM3mYY+JjIqCm7u7NRPw9vGGj48vPDw94eLiIskBuvtMY65BqVRi45btCA+PxJVLF9Db2/PY4x/NBFqam3D+7DfYvG3nmF+XiBzXwsXPSJpz9fb2YN8Xn+PFV99ggy4iIiIiIiKadWT2LoDoafeX3/sz3MrOlow9t2Yd/uNXv2VjrhlGVXkIglHrCDmalXPFPnuXQKPg5x+AV99+H8tXrYVKpbLZr9NqUVtdiYSkVKxYvRapGfMRHhkNL28fqFSqCTfmesDD0wubt+/CS6+/jZCwOaM+T7RYkJN9Y1JqICLHseiZZZJtURRx8tjhYVfNIiIiIiIiIqLRq6gox3fef08yJpfL8evff8bGXDOM2tAINOcDZgMcJzwQoc/Za+8i6AkEQcDKVavw7e/+ISIiI4c9pqa6GmaTCRs2bsLylSuRlJyCkNBQqNXqcTXjGqmO9PR0/Omf/inWrFkDJyenUZ9bUFCArq6uSamDiBxDeHg45syRZoxNTU345JNP8P+zd9/hUV5n2sDvKeq9C0mo0qvBYKptDAbTwQLTjVtiJ5u6+6XspnnjZLPZbLJpLnEFgymmiGJ6sTG9io4k1BuSRr2NNDOaeb8/HMs+GgmB0MyZcv+uK9f6PO87mttrEOJ95jynpaVFUioiIiIiIiIix5aTk4MVK1YIB+eq1Wp8/PHHHMzlYPQV2dAXXITSZvjngR3OgD0BZ6BSqfDo44/jG698C8kpKZ3ek5+XhzaTCTOemolHH38cw4aPQExsLPz9/Xu1JzBk+Ai88PK38diUafDy8r7n12Zl3EJdXW2v5CAi5xDbty/6xicINZ2uAts2b0CLXi8pFREREREREZFtcDgXkUQfvPcePlzzgVBLSkrG6++t7bUH5NR7vPL2/fOfOj+h3CFZTPDM3i07Bd0DjUaDhx4ei1UvvYKBg4daXW/R67Fn5zaUlZbYPEt0TCxSl67EomWrMG7io0hK6Q9//4C7vubW9Wtoamq0eTYichzJKf0wdtwEocYBXUREREREREQPprGxESuWPIOGBvE06t/87r8x6dHHJaWirkQ2XQD0VU60CecLiqEZTZe3yo5B9yA8PBzLV65C6jPPICAw0Or6rZs3sTNtu7BxzxY8PDzw6KOP4oc//CEWLFiAsWPHIjY2FlqttsvXWCwWnDp1yqa5iMixqFQqpKamIrDD9ysO6CIiIiIiIiLqXFNTE55++mmrIfe/+93vMH36dDmhqEs11w7C1FgJ5zms4wvsCTiPsLAwLF2+AouWLEFgUJDV9Yxbt7Bj+zZYLLbdz+Lh4YGx4yfgpW99BzPnzMNDox5Gn5juewIXzpy2aS4icjxPzZmHwEDx+xUHdBEREREREZEr6vrJGBHZ1LmzZ/Gjf/2BUPP19cXGLVsQHBwiKZVrC2m+hvjavdCYDSgNfgIVQfe+kSm2/ihUpiZn66UBALxvb4Ox/3zZMege+fn5Y8ac+UgZMAifHtqH1q99SF2xWHD+zCksWLzU5jlUKhVi4voiJu6r063b2trQ2tqC1pYWNDU24pO0r05SMpvbcC39IiY+9oTNsxGR43h0ylQoioKL58+2174c0AUAQ4YNlxWNiIiIiIiIyOkoioJvffMlZGVmCvVnlizFd7//AzS0miUlc23xldsQpb+Eeu8U5IcvhUlz94MKvuRnLEVwaxZgNsL5mgcK9Olb4D/qGdlB6B6oVCoMGjQYCQmJOHRgP27euCFcz8vNRUlxMfrGx9s8i4+PD0aNGoVRo0YB+OL7lsFggF6vR2trK44dO4bbt2+333/58mVMmTIFfn5+Ns9GRI4hJCQEzz//PNauXSsMG/1yQNfq1avh4+MjMSERERERERGRY1AUBS+99BJudHjet3jxYvzkJz+RlMr1Fez/C2pvHIJ//ENInPMjePiH3tPr9BXZaMi/AKXN4HQHdrAn4FxUKhUGDhz0RU/g4AHcuHZNuF6Qn4+iwkIkJiXZPIuPjw+GDh+JocNHAviqJ9DSooehtRVnT51Ebs5XPYFbN69j4qOPw8/f3+bZiMgxBAUF45kVq7B140doaKhvr385oGvxspXw8fWVmJCIiIiIiIiod3A4F5EE5WVlWLV8KUwmk1B/8+13MGz4CNypdYwTYwuzq2RH6DUxdUeRWL+3fZ1Stwt+xjLkRSy7t9c3HAMU254wcq9U9/sCiwnhZQfhNSLVFnHon/y8PXr1640YPhQpSQk4tH8v8nKz2+sVd4qgtpgkPaD2QJD/Vx+WLy0YjevXrrSvs25cxeTJk/nwnMiNqFQqPPbENADggC4iIgfT3Grq/iayu97+ewMRERG5lj/97x+we+dOoTZ8xAi8/o+3oVKpHOZnvJzCWtkRAADeQd4P/DX65fwJgfpcAEB46y0Elv4e2QN+CoNXZLev7XPnMrxMFff/zN5BKIZmNF3e6rKbcYJ8XK8N7uPjgwVPp6L/gAHYv28fDK2t7ddu3bppl+FcHalUKnh7e8Pb+4vfj3PnzsVf/vIXWCxf9NTa2tpw5swZPPnkk3bPRkTyhIaGckAXkSRNBsf4OwMREREREXXvT3/6E7Zs2SLUhg4dijVr1kClctYnz44tc/33oS/+YtBRY+5p3PzHagx68R/wDo3r9rU11w6itarQ1hFtRjE0w3w9DaGPLJEdhe6Rt7c35i9YiAEDBmDf3r3Cgd8ZGbfuOpzLpj0SXw8g5IvhWzER8/Dm3/8Gs/nLA4YsyLhyAdOmT7fd+5PLqG9pkx2BeklwcAgHdBEROSBH+bPWFT+/Q0RERO5JLTsAkbsxGo14dsVylJeVCfXv/+u/YdEzbHbYSnz9QatatP78Pb02tv4otJbm3o5kV6bLG2VHoB7w8/fHnAVPw0P71QZ+i8WC21kZElN9Zez4CcIHAAxGA9a+9zauX73cvvGGiFzflwO6xjwyXqh/OaDrxteG+BERERERERFR5w4fOojXXv2VUAsJCcGGzVvgyw+q2syXg7m+5Km0IKL6eLev82kpRkTVp07eaFWgT9/S/W3kcIYMHYZx48RncRm3bjnEc/nAwECMGDFCqJ08eRKbN29GTU2NpFREJMOXA7oCAwOF+pcDupqbnbv/TkRERERERPQgjhw5gp/+9KdCLSgoCDt37oS/v7+kVK7vy8FcX7IYm1CVvqv711VkQ3dhm61i2YmCmvObZIegHhg0eAjGT5go1DIzMr42EEuegIAADOvQEzh39gy2frwZ1dXVklIRkQxfDugKDAwS6l8O6GpuapKUjIiIiIiIiKh3OPdnxomc0H/85Mc4e+a0UJvyxFT8+je/lZTI9SVVp0GNzic9D6p4u9vXxzQcg9OfP2Q2wnAtTXYK6gFPT08k9+sv1LIybklKIwoJDUO//gOFml7fjEP792Ljhx8gN/s2FEWRlI6I7OluA7oO7tuDPbt2oEWvl5SOiIiIiIiIyLHl5ebixdXPCs/S1Go11qz7CEnJyRKTubbBGa92Wg+tOg6flpK7vjas9pzz9w0AKIZmNF3eKjsG9cDgoUOFtb65GYUFBXLCdDBp0iSrWmZmJt544w0cPHgQDQ0NElIRkQx3G9D1xhtv4NYtx+h5EhEREREREdlTQUEBli1bJgzbV6lU2LBhA/r16ycxmWu7/tbKTuu6S7ugr8i562trrlkfEu6MLIZm1JznoR3OaPCQIcK6Ra9HQUG+pDSi8RMmCod9A0D27dt47+1/4PAh9gSI3MndBnR9+P47DrMPioiIiIiIiKgnOJyLyI4+WrcO7/zjLaEWH5+ANes/glarlZTK9UU1ne3yWmhr1l1fG1t/FFqLa5zaa7q8UXYE6qGBg8WGWnFRIXQV5ZLSiB6d8gR8fHyt6hUV5di5fQs+fO9t3Lx+1SFO5yEi2+pqQBcAZGXcxIfvv4Pc7NsSkhERERERERE5rubmZqxY+gzq6uqE+q9+/RqmTZ8uJ5Sb8DFVdlrXog1htV33FXxaihFR9amtYtmZAn06N+I4o7CwMERH9xFqF86fk5RGFBERgYkTJ1rVzWYzzpw5g7/+9a/YtWsXKis7/z1IRK6lqwFder0eW7ZswbZt26Dn4R5ERERERETkJlpaWpCamorq6mqh/utf/xpz5syRlMo9mGpLO79gNqLmetfDt/QV2dBd2GajVPamoOb8JtkhqAdCQkLQJyZWqF045xg9gbCwMIyf0HlP4MK5c3jr9b/jk93sCRC5i64GdLW06LFnVxr27Ezjgd9ERERERETklDici8hOrly+jB9+7ztCzdvbGxs+3oLw8HBJqVxfUnUa1Gi76z2DKt7u8lpMwzGourzqZMxGGK6lyU5BPZCU0s9qANb5s2ckpRGFhIZh+ernkdJvQKfXq6urcGDvJ3j/H28g5/bdh+ERkfP7ckDX2HETrK41Nzdh5/Yt2L9nF1paWiSkIyIiIiIiInI83/v2t3Dzxg2htjA1Ff/2ox9LSuQeBme8etfroVXH4dNS0um1sNpzrtM3AKAYmtF0eavsGNQDw0aMENY52dnQVVRISiOaPn065s2bBz8/P6trZrMZly9fxhtvvIGtW7fyWSGRG+hqQBcA3LhxA2+++SaysthHJCIiIiIiItf3rW99C5cvXxZqCxYswM9//nNJidzD9bdW3vW67tIu6CtyOr1Wc63rwV3OyGJoRs15HtrhjEaMHCms83JzUV5WJimNaMrUqZg9dx58u+gJXL96Fe/+4y2kbWNPgMgddDWgCwCyMm9h7XtvIzsrU0IyIiIiIiIiop7jcC4iO/n1r34Jg8Eg1P72xpt4aNQoSYncQ1RT16fbfym0tfMP+sbWH4XW0tzbkaQyXeZpN85Iq9Vi9JhHhNrtzFuoranu4hX2FRISioWLl2DR0hUIC+t82GBjYwN279iGm9ev2jkdEdnblwO6Zs9bCG9vH6vrt25cx0dr3kNVpU5COiIiIiIiIiLHcTk9HVu3fCzUBg8ZgrfeeQ8qlSuNf3I8Pqa7n86tRRvCaq37Cz4txYio+tRWsSRRoE/ncC5n9NCoUfD2EZ+/nTl9SlIakUqlwsMPP4zvfe97mDhxItTqzj+WcPPmTaxbtw56npBN5PJCQ0PxyiuvYPDgwVbXmpqasGnTJhw4cAAWi0VCOiIiIiIiIiLbu3r1KtatWyfUBg4ciHXr1nX5/Ix6h6m29O43mI2ouW49hEtfkQ3dhW02SiWLgpoLm2WHoB4YMXKk1fArR+oJPDRqFL79ne9i/ISJ0Gg0nd6XmZGBDevXobnZtfboEJG14OAQrHzuRQwYaN0T0OubsXvHNhw9xJ4AEREREREROQ8+xSeyk5oOQ3SWr1iJ5StXSUrjHpKq06BG2z3dO6jibataTMMxuNz2J7MBxqwjslNQD4wc/TA8PTzb14qi4MLZMxITWUtMSsbql17GrDnzER4eYXVdURQc3LcH166kS0hHRPY2eOgwPPfSy0hO6W91raGhHps/WoeiwgL7ByMiIiIiIiJyENXVVVa1jzZ/DH9/fwlp3MfgjFfv6b7QquPwaSkRamG151yvbwBAMTZDf+uQ7Bh0nzw9PfHII+OE2q2bN1FTUyMpkTVvb2/MmDED3/3udzFmzBhotVqre8rKyvDhhx9yMw6RG/Dz88OSJUuwaNEi+PhYH+5x9uxZbNu2DSaTSUI6IiIiIiIiItuqrrY+kHf79u0IDAyUkMZ9XH9r5T3dp7u0C/qKHKFWc816YJcrsBiaUX/9gOwYdJ88PDwwtkNPIDMjo9PvLbJ4eXlh6pNP4uVv/wtGd9ET0FVUYMP6dWhqapKQkIjsydfPD/OeXoQ585/u9MDvK+kX8cmO7ewJEBERERERkVPgcC4iOxkydJiw5nR324tqsj7VviuhrVnCOrb+KLQWV9wEoIK5Kqv728jh+Pj4YOToh4XazRvXkJVxS1KizqnVagwZPgKrX3oZTy9eiri+8cJ1RVFw+MA+XL50QVJCIrIn/4AALFy8BDPnzIOXl7dwzWBoRdqWTci4eUNSOiIiIiIiIiK5hnboGwBfPD8j2/IxVd7TfVq0Iaz2qz6DT0sxIqo+tVUs6Uw69g6c0cNjx8LDUzzY45Ndu2AwGCSmshYaGoq5c+fihz/8IR577DF4e4vPCisqKrB27Vo0NjZKSkhE9qJSqTB8+HD8y7/8CwYMGGB1/datW1i/fj30er2EdERERERERES2M2yYdU+A+wlsz1Rbem83mo2ouf7VMC59RTZ0F7bZKJV8LeWZsiNQDzw8Zgw8vbza14qiYPfOnWhtbZWYylpISAhmzpqN73z/B5j86GPw7jCov6qyEhvWr0NDQ4OkhERkT4OGDMXz33gF/foPtLqWk52FrZs+Qgt7AkREREREROTgOJyLyE5GPywO1UlPvyQpiXtIqk6DGm339ZpBFW+3/3NMwzGoejuUI1Br4DlotuwU1EOjxzwinCBjsViw75OdyLx1U2KqzqlUKiT3648lK57FI+MnWl3/9PBBXDp/TkIyIrI3lUqFocNH4rmXXkZMbJxwzWw2Y98nO3Hh7Bl+0IiIiIiIiIjcTp+YGET36SPULl9i78CWBme8el/3h1Ydh09LCQAgrPaca/YNAEDtAZ9hc2SnoB7w8fHB6A4He5SWFGPThg0OtxkHAPz9/TF16lS8/PLLCAoKEq5VVlZi7dq13IxD5CYCAgKwfPlyzJ8/HxqNRrhWVFSEDz74ADU1NZLSEREREREREfW+yMhIxMeLB95evHhRUhr3cP2tlfd1v+7SLugrcgAANdcOdnO381JpPBA0cr7sGNQD3t7eePjhMUKt7E4pNn70EVpaWiSl6pqfnx8emzIFL7z0DQQFBwvXqquqsGH9OtTX18sJR0R25efvj/mpizFzzjyrnkDZnVJs+uhD1NZUS0pHRERERERE1D0O5yKyk9EdHoJn376Nc2fPdnE3Paiopvv//21o6xenwsfWH4XW0tzbkeTzDYX3zN9AE5YkOwn1kH9AAMaMmyDUvhzQdevGdUmp7k6lUmHy409g/KRHra4d+/QwLpw9IyEVEckQEBiIxctWov+AQVbXjh87ivfeeh0njn2KmuoqCemIiIiIiIiI5Oh4sMeG9euhKIqkNK7Px1R5X/dr0Yaw2rPwaSlGRNWnNkoll2fiBIQs+j94hifLjkI9NH7iRPj5+wu1O6UlDrsZBwBCQ0PxwgsvICQkRKhXV1dj7dq13IxD5CZUKhVGjx6NVatWwcvLS7hWVVWFv//97/joo49w48YNmEwmSSmJiIiIiIiIes/YsWOF9YcffsiegA2Zakvv7wVmI2quH4S+Ihu6C9tsE0oy35SJiFv+N/hEsifgrMZNmAD/gAChVl52B5s++gh6vV5SqrsLCQnBqtXPISQ0VKjX1tTgo3Ufoq6uTk4wIrKrLw/8XrR0Bby8vIVrtTXVWPPuP7Bt80Zk3GRPgIiIiIiIiBwPh3MR2cnwESMQGhYm1P7jpz9mQ80GkqrToEZbj147qOJtxDQcg6qXM0nlEwLPCd+G39OvQxs9VHYaekATJz+Gh0aJG/YURcGBvbtx8/pVSanuTqVSYdKjj2PSo1Osrh0/dhRnT520fygiksLDwwNzF6biodFjrK41Njbg/NnTWPPuP7Bx3RoUFxVKSEhERERERERkX09MnSasj332KQ4e2C8pjWsbnPFqj14XWnUcUZVHXKtvoFLDq/8TCFnyBkJm/4qDuZycn58fVqxcZTWgy9E34wQHB+P5559HaIfNODU1NVizZg1qa2slJSMie0tKSsKLL76IwMBAoa4oCnJycrBt2zb86U9/woEDB2A0GiWlJCIiIiIiInpwTz75pLD+/PPPsWvXLklpXNv1t1b26HW6S7tQcfbjXk4jmUqNgEHT0PfZtxG38NcczOXkfH19sbyznkB5GTZ+tB7NzY55SH1QUBBWPrsaYeHhQr2+rg4frfsQNTU1kpIRkb31jU/AslWrERgYJNQVRUFhQR72fbITb//9L/j08EEYDAZJKYmIiIiIiIhEKsWOk4EqKirw2GOPWdWPHz+OqKgoe8Ug6lKTwbaT1f/+17/gZz/9iVBbs249Fi9ZKtTu1DrGKdYHj+bIjtAj4wt/0uPhXACgAA61yUbxDEDjU++0r2Mj/CSmoa74eXvY7b0URcFnRw7h8qULQl2lUmH6zNkYPnKU3bLcrwtnz+D4saNW9fGTHsXEyY9BpXKk331EZCuKouDiubOdfj/4kkqlwqOPT8WYcePd+ntDcytP/iEiciX2/HuDK6vUVWDpvKes6nzGSOS82DsgR2fL3kFzczNGjxiGO6Vfnd7ef8AAnLt0GR4e4s8OjtI7+PxiiewIPTL62r/0+LV36xvIemqhiRsDnxm/al/zZ01RkI9WdgS7q6qqwsaP1qOpsVGoR0ZF4ZsvvgA/P8fsLzU2NuLDDz9EVVWVUA8MDMRzzz2HsA6HHxGR66qvr8eGDRug0+m6vCcyMhLLli2zGuxHRF+w9eeeiIgcla6iArOmT7Oq8/kikWNiT4DcWUtLCwYNGoSioqL2Wr9+/XDz5k14enpKTOZ60n83RXaEXuWXNA6xqb+VHYMcSHV1NTZ+tB6NDQ1CPSIyEstXroJ/h+FdjqKpqQkbP1qPqspKoe4fEIAVq55FeIfhXeS66lt6vueLXENjQwN2bN2MysquewJhYeFYsOgZhISyX0hE5Kzc8fM7ZHvu2hPo6rlqcl4SPNpc8/eaSduGvOR8q7qr/7cmIseklh2AyJ288u1/QUpKP6H2q5//HC0tjrGhxhUkVac90GAuwLEGcwGAytgIbekZ2THIgahUKjzx5AyMeWS8UFcUBYf278WpE5/DYrFISnd3Y8dPwJRpM6zqZ0+dwMnPP5OQiIhkUKlUGDt+Ap5evBRRUdGd3qMoCo4fO8rvDUREREREROTS/Pz88J+v/UaoZd++jffffaeLV1BPDM549YFe72h9AwAw37kCc7X1B0/IfYWHh2Pls6sREBgo1HUVFXj//ffvOuxGpoCAADz//POIjIwU6g0NDVi7dq3V0C4icl1BQUF48cUX8cgjj8DLy6vTe3Q6Hd577z3U1dXZNxwRERERERFRL/Dx8cH//M//CLWcnBy88cYbkhK5putvrZQdodc1F6XDoMuVHYMcSFhYGFY+uxqBQUFCvVKnw7q1a1BRXi4p2d35+/tj5bOrEdlhE3VTYyM2rF+Hyg5Du4jIdQUEBmLpqucw6uGx8PLsvCdQXV2FjevWora2xs7piIiIiIiIiEQczkVkR56ennjtd78TasXFRXjj73+TlMj1RDWdlR3BJnxurJEdgRyMSqXCY09MwyPjJ1pdO3vqBHZs/dhhB/89PPYRTJsx06p+/uxp3Lx+VUIiIpIluV9/rHrhG1j94jfx8Nhx8POzPqnrwrkzqK2plpCOiIiIiIiIyD6WLl+B0Q8/LNR+99vfoLa2VlIi1+NjcsEP8lvaYLy0XnYKcjBdbcapqanBu+++ixs3bkhKdnf+/v547rnnrE40bGxsxKZNm2AwGCQlIyJ78/b2xuzZs/GjH/0IqampSE5OhkoljsnU6/U4evSopIRERERERERED2bp0qUYP148nPe1115DdTU/I9dbTLWlsiP0PrMJVSe5n4BEoaGhWPnsagQFBwv1utparFu7BjeuX5MTrBt+fn5YsepZREf3EerNTU3YtuVj9gSI3IiXlxemTn8Kr3zvh5g9byESEq17Aq2tLTh5jId9ExERERERkVwczkVkZ/PmL8DkRx8Tan/6w/847MkUziSpOg1qtMmOYRMqYyO0pWdkxyAHo1KpMPnxJzB+4mSrawX5udjw4QeoqXbME+UfGj0G02fOtnpwfvTgAVRV6iSlIiJZIiKjMGXadLz8ne9j0qNThO8NiqLg7OmTEtMRERERERER2ZZarcbv/ud/hVptTQ3+579/18Ur6H4MznhVdgSbMd+5AnN1vuwY5GC62oxjMpmwbds2HD58GIqiyAl3F35+fnjuuefQp4+4Gae6uhp79uxxyMxEZDseHh4YMWIEVq9eje985zuIjIwUrt+4cQOVlS44fJOIiIiIiIhcnkqlwp///GehVldXh1//+teSErmW62+tlB3BZpqL0mHQ5cqOQQ4mJCQEK59djeCQEKFuMpmwe+dOHD500CGfr/v6+mL5qlXoExMr1GtrarBvzycOmZmIbMfDwwODhw7D4mUr8MLL30ZEhNgTuJ2VgUpdhaR0RERERERERBzORWR3KpUK3/vhD4VaU1MTfvsaG2oPKqrprOwINuVzg6fdkDWVSoVJj03BE0/OgFot/rFeX1eLvbt2SErWvREPjcaMWXOEmqnNhE92bIfRaJSUiohkUqvVGD9pMsaOmyDUM27eQGNDg6RURERERERERLb30KhRmDBxklB75603kZOTLSmR6/AxufDgDksbjJfWy05BDigkJATPPve81aYWADh16hQyMjIkpOqer69vpwO6rl+/jvT0dEmpiEi28PBwvPDCC/Dy8mqvKYqCM2d4uBURERERERE5pxEjRmDKlClC7c0330RmZqacQC7EVFsqO4LtmE2oOsn9BGQtODgYzz73PGJi46yuXTh3Dhm3bkpI1T0fHx+sWLUK0X1ihHrGrVtIv3RJUioiki0kJBRLVq6Gl5e3UL904ZykREREREREREQczkVkVwaDAU/Pm4uli1Ktrn245gMsX7IYO9O2w9DaKiGdc0uqToMabbJj2JTK2AhtKT9gTJ0bPeYRPLNsFbw8vYS6TlcBg8EgKVX3ho14CA+Nelio1dRU4/OjhyUlIiJHMOaR8fD08GxfK4qC4qJCiYmIiIiIiIiIbOfwoYPol9AXZ06fEuomkwnzZs7Eb/7zVWRlcUNOTwzOeFV2BJsz37kCc3W+7BjkgAIDA/Hsc8/hodGjra4VFjruszZvb28sWbIE3t7iB+7379+P6upqSamISDYfHx+MHz9eqOXl5UlKQ0RERERERNRzR44cQXR0NI4dOybUzWYzpk+fjl/84hcOO1zf0V1/a6XsCDbXXJQOgy5XdgxyQAEBAVi1ejVGjxljda2oqEhConvj5eWF1MWL4e3jI9SPHDqIykoXPoCHiO7K29sbDz8yTqgV5udDURRJiYiIiIiIiMjdcTgXkR394803cOTwoU6vKYqCPbt349kVyzEiKQqzHh2Lc6dP8MHRPYpqOis7gl343OBpN9S1uPh4rHzhJat6U2ODhDT37vFp0xEVFS3Ubly/Cn1zs6RERCSbj68v4hOThFppseN+OICIiIiIiIiop1paWvDtl7+JpqamTq+XlBTjD7//b4wZOQID+wThv37576ipqrJzSuflY3KDD+1b2mC8tF52CnJQWq0Ws+fMRVRUlFBvaHDsvkFISAgWLFgg1Nra2nDuHE/EJnJnQ4cOFdZ1dXWor6+XlIaIiIiIiIjo/rW2tuL5559HY2Njp9dLSkrwX//1XxgyZAhUKhW+//3vQ6fT2Tml8zLVlsqOYHtmE6pOcj8BdU6r1WLmrNmI7hMj1Bsc/BlacHAw5s6fL9TMZjMuXjgvKREROYKBgwYL66amRtTX18kJQ0RERERERG6Pw7mI7KS5uRl/+b8/3fP9eTm3sXrRXPznv/+bDVO5hqTqNKjRJjuGXaiMjTDlnZQdgxxZJwP9VCqVhCD3TqvVYs7CVGi12vaaxWLBrRvXJaYiItli4/oK69KSYklJiIiIiIiIiGzn/XffQUV5+T3fv+69tzDrsbHIuHHNhqlcw+CMV2VHsBvznSswVeXJjkEOLDIyUlg7et8AAAYPHoyxY8cKtWvXrsFkMklKRESyRUREwMfHR6gVFfFgDyIiIiIiInIe7733HkpL732A1N///ncMHjwYly5dsmEq13D9rZWyI9hNc1E6DLpc2THIgUVERghrtdrxtw4OGDAQYx55RKjdvHEDRqNRUiIiki0kNAy+vn5C7U4x9xMQERERERGRHNrubyGi3vDOP95CVeX9n9C+ed0H+P6Pf4aw8Ijub3ZTUU1nZUewK8OZt+GRPFl2DHJQeTk5wtrPzx8hoWGS0ty7kJBQDBg0WBjIdf3qZTz8yDin2CRERL0vJi5OWFdXV6G1tRXe3t6SEhERERERERH1Lr1ejz//6Y/3/bq62hps+vB9vPa/f7VBKtfhY7r/nozTsrSh6dxahMx5TXYSckAWiwW5ueJGrYSEBElp7s+kSZNw8eJFKP88mKS1tRUZGRkYMWKE5GREJINKpULfvn1x+/bt9lpJSQmGDx8uMRURERERERHRvWlpacF///d/3/frampq8Oabb+L999+3QSrXYaq996FnTs9sQtXJNYhN/a3sJOSAFEVBXoeeQN945+gJjBs/AZcuXGjvCRgNBmRm3MKIkQ/JDUZEUqhUKsTExiEnO6u9dqe0BEOGs09IRERERK7DbDYjJycH165dw/Xr13Hjxg3cvn27ywMs161bh3HjxvV6jps3b6KsrKzXv+696tOnD4YOHXpfr2lpacGpU6dslEjUv39/p/nMJdkOh3MR2UFTUxP++uf/E2qDBg9GY0MjSktL7vpaXz9/BAQE2jKeU0uqToMabbJj2JehHqa8kxzQRZ3KzbktrJNT+jnNcKthIx4ShnPV1FSjrLTUakAPEbmHyKhoaDQamM3m9lp1ZSVi+/aVmIqIiIiIiIio97z3ztvQVVQItSlPTMXxz4/BYrHc9bWRfWJsGc3pDc54VXYEuzOWXIapKg8e4cmyo5CDKS0pgV6vF2oDBgyQlOb+BAcHIykpCXl5ee21y5cvczgXkRuLi4sThnNVdPhZioiIiIiIiMhRvfPOO7hz545QmzZtGo4dOyZ8Rq4zMTHsCdzN9bdWyo5gd81F6TDocuEVmSI7CjmYsjt30NzUJNT69e8vKc39CQoKQlJysjBc7OqVqxzOReTG+sTECsO5Kit1EtMQERERET24oqIiXL9+vX0Y161bt9DS0iI7FtavX48dO3ZIe/+nn34av//97+/rNdXV1fjOd75jo0Sin/zkJ3jppZfs8l7kuNSyAxC5g7ffehPVVVVC7R/vvo8bWbexedt2TJ/xVKfDc0aMehh/f28dPL287BXV6UQ1nZUdQQrDmbdlRyAHZLFYcKfDwL+U/s6xwQYA4vrGIzgkVKhdv3ZZUhoikq2trc3qQ0carUZSGiIiIiIiIqLe1dzcjD//6Y9C7cnpM/DJ/gO4mZWNf//ZzxHdp4/V6yKj++CZFavxzX/5gb2iOiUfU6XsCPZnbkPTubWyU5ADKi4uFtaRkZEICQmRlOb+jR49Wljn5+ejpqZGUhoiks1gMAhrrZZnEhIREREREZHja2lpsdpcNm3aNBw5cgQFBQX4z//8T8TGxlq9Ljo6Gi+++CJ+9rOf2SuqUzLVlsqOYH9mE6pOrpGdghxQUVGRsA4LD0dYWJikNPfvoVGjhHVxUSGqOuzFIiL3YTSKPQEPDw9JSYiIiIiIeu748eN46aWXMG7cOEyfPh3/9m//hrVr1+LSpUsOMZiLiO4NP6VGZGNGoxF//+tfhNrM2bPx8JgxAIA5c+dhztx5aGxsRH1dHQKDgtBg0kCt5uy87iRVp0GNNtkx5DDUw5R3Eh7Jk2UnIQfS2tJiNcgmKtp6A5+jUqlUGD7iIZz4/NP22u2MDEyZNgNeHFJI5HaKCwuEtUajQURklJwwRERERERERL1s/YdrUVUpDpD62S9/BQCI69sXP//Vq/iPX/wS5WVl8PDwQGBQEKr1FhlRnc7gjFdlR5DGWHIZpqo8eIQny45CDqSpqVFYx8TESErSM4MGDYKPj4/wQaQrV65g6tSpElMRkQyKoiA/P1+odbZxmYiIiIiIiMjRrF27FuXl5ULt17/+NQAgLi4Or776Kn75y1+i7J89gaCgIH5u9h5df2ul7AjSNBelw6DLhVdkiuwo5EA69gQ6OwzIkfUfMBC+fn7QNze3165duYKpTz4pMRURyaAoCoo67Cdwpv1RRERERERfunr1Kk6ePCk7hkNzpsNGyX1x+g+RjZ06cQLVHU5q+NkvfmV1X0BAAOL69kVgYCAHc92jqKazsiNIZTjztuwI5GCam5uEtUqlgo+vr6Q0PTNk2HDhe6DRZER+bo7EREQkg6IoOH/2tFCLiu4DjUYjKRERERERERFR79q1Y4ewnvHUTIx95BGhplarERMbi4jISG7CuQ8+psrub3JV5jY0nVsrOwU5mOYmsXfg7+8vKUnPaLVajBgxQqjduHFDUhoikikvLw937twRanFxcZLSEBEREREREd277du3C+vp06dj0qRJQk2tViM2NhaR7AncF1NtqewI8phNqDq5RnYKcjDNXxtqBQD+fs7VE9BoNBg2fLhQy8i4BUVRJCUiIlmKiwpRdkf8cz4mlj0BIiIiIiJXNG/ePNkRiLrFCUBENnZg/z5h/fCYMRg1erSkNK4jqToNarTJjiGXoR6mPE5Kpa8YWg3C2kPr4XSDbPwDAhCfkCTU8vM4nIvI3ZSX3UF5mbjBZsRDoySlISIiIiIiIupdtbW1OHP6lFB78ZvflJTGtQzOeFV2BOmMJZdhqsqTHYMcSGtrq7D29vaWlKTnRo4cKaxrampQXV0tKQ0RyXL+/HlhHRwcjOTkZElpiIiIiIiIiO5NQ0MDPv/8c6H2rW99S1Ia13L9rZWyI0jXXJQOgy5XdgxyIK0tLcLaywl7AsOHiwd21NfVoaqqSlIaIpLlavolYR0YGITE5BRJaYiIiIiIyFYGDRqEIUOGyI5B1C2t7ABErkxRFOzfu1eozZo9R1Ia1xLVdFZ2BIdgOPM2PJIny45BDsLP309YG01GtLS0wMfHR1Kinknu1w8F+V81igvy8qAoClQqlcRURGRP9XV1wtrb2weDhw7v/GYiIiIiIiIiJ3P08CGYzeb2tbe3N56YOk1iItfhY6qUHUE+cxuazq1FyJzXZCchB+Hn7y+sGxoaJCXpuT59+iAgIACNjY3ttezsbISFhUlMRUT2VltbK6zHjh3rdAcVERERERERkfs5dOgQ2tq+OpDa09MT06dPl5jIdZhqS2VHkM9sQtXJNYhN/a3sJOQgOvYEGhudrycQGRWFgMBANH6tn5Gbk4OIiAiJqYjI3upqa4T1iIdGsydARERERC7L29sbgwcPxrBhw1BcXIxjx47Z9f1///vf4/e//73Nvv5LL72EkydPdnpt0aJFvf5+R48eRVxcXK9/XXJvatkBiFzZ7dtZyM8XTyefOXu2pDSuI6k6DWq0dX+jOzDUw5TX+Q8j5H4Cg4KhVot/tNfX1XZxt+NKSuknrPX6ZpSX3ZGUhohkCAwKEtYGQyuavrbxjoiIiIiIiMiZHdi3T1g/NuUJ+Pr6SkrjOgZnvCo7gsMwllyGqSqv+xvJLYSGhArrmpqaLu50XCqVCv36ib2D7OxsSWmISJaQkBBhXVnJoZxERERERETk+Pbs2SOsp0yZgoCAAElpXMf1t1bKjuAwmovSYdDldn8juYWQDj2BWiftCaR06AnksCdA5HaCgsWeQHU1ewJERERE5Bq0Wi0GDx6MJUuW4De/+Q127tyJS5cuYfPmzfjFL36BYcOGyY7Yq8rKynD69OlOr3l4eGDevHl2TkTUM1rZAYgcSX1L7w582rlLbKZF9emDhAHDev19bMWYXyc7AgCg/wzxwXp08TlJSRyT4czb8EieLDsGOQCNRoOAwCBhIFddbS2i+8RITHX/goNDEBoahpqa6vbaxXNnMe/p3p9+S0SOp7nVBL+gMJgtKlgs5vb6ls2bsGjZKnh6eUlMR0RERERERPRg2tracOjQQaE2y8kO9WgorJMdAQDQf6x4qpXPNX4Yt525DYYL6xCe+lvZSdyev5eH7AiIjY4U1s44nAsA+vfvj8uXL7ev8/LyUFZWhj59+khMRUT2FBsbi6ysrPb1lStXkJiYiIceekheKJKuyWCSHYGIiIiIiKhLZrMZ+zoc2DF37lxJaXrGUf7e1fFZq6m2VFISB2Q2oerkGsSyJ0AAQkPFYTa1tc530DcA9OvfH1fS09vXRYUFuFNaipjYWImpiMieovvEIPt2Zvs64+YN9I1PwPCRoySmIiJyHkE+HB9BROQooqKiMH/+fAwfPhzDhw/HkCFD4OVGe2R37NgBi8XS6bVp06ZZHdZH5KjUsgMQubIjB/cL6ydnzIJKpZKUxjUEZa6HyuIYTT6HYaiHKe+k7BTkIII7nA5R56QNtQGDBgvr21kZKCzIl5SGiOxNq9Wi34CBQq2qUoeL5zqfkE1ERERERETkLM6fO2d1QvVTM2dJSuM6Ik/+WHYEh9NclA6DLld2DHIAoaGhwrqurg5ms7mLux1XSkoKPD0929eKomDfvn1QFEViKiKyp2HDhkGtFj/mtHfvXjQ3N0tKRERERERERHR3Fy5cQGWleLDEnDlzJKVxHdffWik7gsNhT4C+FBIi9gQa6uvR1tYmKU3PJSYmWR3me/DAAfYEiNzIgMGDrXoCnx4+iKbGRkmJiIiIiIh6ZsmSJfjf//1frF69GqNGjXKrwVyKomDHjh1dXl+0aJEd0xA9GA7nIrKRurpaXDgrDpB48ilusHlQfneOyY7gkAxn3pYdgRxEcHCwsK6vd87hXKPHjoOPj69Qu3n9qqQ0RCTDY1OnI6jDwMGc21mS0hARERERERH1jv379gjrYcOHo298vKQ0rsOjtUJ2BMdjNqHq5BrZKcgBdDxZzmKxoL6+XlKanvPy8sKjjz4q1IqLi1FdXS0pERHZW2hoKGbNEj9zYTKZkJ2dLSkRERERERER0d198sknwnrIkCFITk6WlMZ1mGpLZUdwPOwJ0D8Fd+gJKIqCuro6OWEegKenJyY/+phQK7tTikqdTlIiIrK34OAQTJsxU6i1tbUhPy9HUiIiIiIiIrpfFy5cQFFRUafXoqOjMXnyZDsnIuo5DucispHPDh8STp328vbG5MefkJjI+QVlrofKYpIdwzEZ6mHKOyk7BTmA4A6n3dTVOudwLh8fH4wcNVqoNTY0SEpDRDL4+Ppi+qy5Qq2+rhYter2kREREREREREQPRlEU7N+7V6jNmj1HUhrXEXnyx7IjOKzmonQYdLmyY5BkPj4+8Pb2Fmq1Tto7mDBhArRarVBzxkFjRNRzY8eORf/+/YVaaSk35BIREREREZHjURTFajjXvHnzJKVxHdffWik7gsNiT4AAwNvbGz6+4gHZdXXO2RMY+8gj8PD0FGr1DewJELmTEQ+NRkq/AUKtjD0BIiIiIiKnsX379i6vLVy4EGo1xx2R8+CvViIb2LltC/7j/31fqE1+bIrVQ266P353jsmO4NAMZ9+WHYEcQMfTbpx1OBcAtLa2Cmv/gEBJSYhIlsjoPtBoxM12mbduSEpDRERERERE1HNVVVVYujgVWZmZQn0mh3M9MI/WCtkRHJfZhKqTa2SnIMlUKhVCQ8WDPWpqaiSleTBtbW1oa2sTaoGB7B0QuZuEhARhffPmTRiNRklpiIiIiIiIiKzV1NQgNTUV169fF+pz587t4hV0r0y1HMjRJfYE6J9COhz2XVvjnPsJzGYzTB2e+wVyPwGR24nrGy+ss29nwWAwSEpDRERERET3qqmpCYcOHeryempqqh3TED04Duci6kXNTU34f999Bd/95vNoamwUrk2fxQ02DyIocz1UFpPsGI6ttR5tJZdlpyDJOg7nampqhMnknL932trE3AV5uWhuapKUhohk0Gg0iE9MEmrpF8467fc1IiIiIiIick/Hjx3DxEfGYP/evUI9MioKD48ZIymVa4g8+WPZERxec1E6jLUlsmOQZK4ynKuz54JXrlyxfxAikqp///7CWq/X48KFC5LSEBEREREREYmOHz+OkSNHYufOnUI9PDwc48ePlxPKRVx/a6XsCA6PPQECgJBQcT9Bba3r9ASuX78mIQkRyZSYnCysW1tbcOXSRUlpiIiIiIjoXu3fvx96vb7Ta2PHjrU6nI/I0XE4F9EDUhQF6RfP49X/+DEmPzwMH29Yb3XPQw+PwdKVqyWkcx1+d47JjuAUjFmHZUcgyYKCQ6xq9XXOedrNgEFDhHVrawuOHjoARVEkJSIiGcaMmyCs9c3NKMjLkZSGiIiIiIiI6N7U1dVh3dq1mDdrJubOegpld+5Y3fN/f/krNBqNhHSuw6O1QnYEx2c2oSn7lOwUJFlIh4M9nHU4l7+/P+LjxdOxT58+jdLSUkmJiEiGqKgoDBgwQKilp6dLSkNEREREREQE1NfXY82aNZgxYwamTJmCkhLr4Uh///vfodVqJaRzHaZaPgfsFnsCBCA0RDywo9ZJewJ+fn6IT0gUahfOnUNJcbGcQEQkRXhEJPr1HyjUrl+7wn1FREREREQObvv27V1eW7RokR2TEPUODuci6qGsjFv4w2//E5NHD8P86VPw/j/eQKVOZ3XfM8tX4eOd++Dh4SEhpWsIylwPlcX61AuypqhVsiOQHTTU1+Pw/r04sHc3igoLhGseHh7w9w8QanW1zjmcKyk5BQMHDxVq2bczcTszQ1IiIpIhOiYWcfHiFOy87NuS0hARERERERF1Ta/XI23bVix7ZhFS4uPwnW+9jGOffWr1odCIyEjs+GQPFjydKimpa4g8+WPZEZyGhT0Wt3Dt2jVs3rwZx48fR2trq3AtNFTciOOsw7lUKhXmzp0rDDZUFAW7du1CW1ubxGREZG+PPvqosK6urkZlZaWkNEREREREROSOWlpasHXrVqSmpiIqKgovvvgiDh8+bNUTCA8Px549e7Bs2TJJSV3D9bdWyo7gNNgTcA83b1zHti0f4+Tx42hpaRGuhYSKB3bUOuleAgCYOXu2MNhQURTs3fMJewJEbuaRCROFdX1dLaoqrfdwEhERERGRY8jLy8Ply5c7vebn54eZM2faORHRg+NwLqL7UFxUiNf//Ec8OekRTJs4Bn/70x9QWJDf6b3+AQH429sf4M9vvgM/f387J3UtfneOyY7gHFQaeI9YLDsF2ZiiKNizKw3Xrl7GzevXsHXTR/hkx3ahqRYcIjbUnHU4FwBMfXIGfH39hNrRQwdQV+e8/05EdP+SUvoL6+ysDBQXFcgJQ0RERERERPQ1JpMJBw/sxzeefw4p8XF4btVK7P3kExiNxk7vnzrtSZw5fxFPTp9h56Sux6O1QnYEp6D2DUbg4OmyY5CN5ebmIi0tDZmZmfj000/xt7/9DTdv3my/3nE4V21trdOeJh0ZGYnHH39cqOl0Ohw+fFhSIiKSIS4uDn5+Yg9x3759MJvNkhIRERERERGROzCZTNi/fz9Wr16NqKgoLFmyBDt27IDBYOj0/qlTp+Lq1auYM2eOnZO6HlNtqewIToE9AfdQkJ+PXTt24HZWFo5/fgz/ePMN3Lxxvf16cLC4l6C+rg4Wi8XeMXtFeHg4Hn18ilCrrqrCkcOHnLbPQUT3L7pPDPz9A4TaZ0cOcVAfEREREZGDSktL6/La7Nmz4ePjY8c0RL1D2/0tRO6tUleBT3amYde2Lbh04dw9vWb8pEfxx7+/hcSkZBunc30p2A8VT2/pljpxErxGLoEmLEl2FLIxXUU5yu6IDebbWRkoLirEyNEPIyAgACXFRcL1utoae0bsVb5+fpg6/Sns2fXVD+ItLXqkbdmM5aueg4+vr8R0RGQvickpOHnsaHsjXVEU7N62BWPHT8TD4yZAo9FITkhERERERETuxGKx4PTJk9i65WPs3JGGmurqbl8TEBCAn/7s5/jeD34ItZpn5zyoMfV/lB3B8am1CB6diuCH5sMzKEp2GrKxixcvCmu9Xo+tW7ciPT0dgwcPRkNDg3C9ra0NjY2NCAwMtGfMXjNp0iRkZGSgrKysvXbu3DmEhIRg/PjxEpMRkb2oVCoMHDgQ6enp7bX8/Hy8++67WLBgAfr06SMxHREREREREbkSi8WCU6dOYdOmTdi6dSuqqqq6fY2/vz9+8Ytf4Ec/+hE/29YL8t57TnYEx8eegFu5nH5JWLfo9di1YweuXL6MwUOGQt/cLFw3m81oaGhAcHCwHVP2nnHjxyMzI0PYQ5F+8SKCg0MwfsIEicmIyF5UKhVS+vXH1Stf9QSKiwqx8cMPMGP2XET3iZGYjoiIiIiIvs5sNmPXrl1dXl+0aJHdslgsFuh0OtTU1KC2thYmkwne3t4IDg5GVFQUQkJCuv8iRP/E4VxEXbBYLHj1P36MD997+55OiUhK6YcFi57BwkVL0G/AQDskdA+xqsuyI9iP6p8bstRa4MnfASGJnd7m7+tpv0zkcLKzMjutt7TocfbUiU6vNTY22jKSzQ0YNBj9MwYh+/ZX/+61NdX4aO37GDnqYQwbMRK+HU7GJiLXEhwSioceHovLF8+31ywWM86dPoGS4kLMmvc0h/URERERERGRXVy9chmrV6xAXl5ut/d6enpixsyZWLJ0GZ6aNRu+/Ltrr/GH8x5IcN9UakClgso7GKGpf4I2sPNNNUE+bPu6K6PRiJycnE6v5ebmIje38+9XDQ0NTjucS6PRYMGCBXj33XdhNpvb6wcPHkRhYSHGjh2LpKQkqFQqiSmJyNYef/xxZGVloflrmw3Ly8vx3nvvYf78+Rg5cqTEdEREREREROQKrl27hsWLFyM7O7vbez08PDB79mwsX74cc+fOhR8/19pr2urvyI5gP//sCWh8gtF3+V85aIusmEymLnsChQUFKCwo6PRaoxMP51Kr1Zg7bx7WvP8e2tra2uufHjmMkuIijH54DJKSk9kTIHJx4yZORk72bTQ3N7XXKit12PzRh5g+czaGDmdPgIiIiIjIEZw4cQI6na7Ta8nJyRg1apTNM2zYsAH5+fm4dOmS1cGmXxcaGophw4Zh4sSJmDp1KhISEmyejZwXP6VN1IWPN6zDmnfeuus9UX36YEHqM1i4eAmGjxzFh7m9LAX7oUZb9ze6CkUBkp4ABszucjAXUcE9bPrrKNjJJ7eqVCo8NWce6mprUFn51Q/kDQ31OPH5pzh98nOk9BuAvgkJiOsbj7DwCH4/JnJBEx97AnW1tcjPFT/oVFpchK0b12Fe6hKEhIZKSkdERERERETuwGg04vlnV911MJdarcbjU57A4iVLMX/hQqf9kLsjG1P/R9kR7Eulhu/oJfAZNKPLwVzk3goLC2Eyme7rNWq1GkFBQTZKZB/R0dFYsGAB0tLS2muKoiAjIwMZGRkICwvDoEGDkJCQgPj4eHh7e0tMS0S2EBQUhGXLluHDDz8UNuWZzWbs2LEDVVVVmDp1KvuGRERERERE1CMmkwnLli2762AulUqFqVOnYvny5UhNTUWIk39e1xHlvfec7Aj2pVIj5JFlCBo2k4O5qFMlxcUwGY339Rq1Wo1AJ+8JRERGYu78+dj5tZ4AANzOysLtrCyEhIZiwICBiE9MQN++7AkQuaKAwEAsWPQMtm78CKa2r3qjZrMZB/Z+guqqKjw6hT0BIiIiIiLZtm/f3uW11NRUu2T44IMP7um+mpoaHD9+HMePH8fvf/97jBs3Dt/4xjfw2GOP2TghOSMO5yLqRH19HX7/2qudXgsOCcWc+QuxYPESjJswCRqNxs7p3Ees6rLsCPbj4Qv4RwHj/kV2EnJgLXo9dLqK+3pNXN94THz0cRslsh8vLy88/cwybFq/Fo2N4pRas9mM21kZuJ2VAQDw8fFFXN94xMXHI65vPCIio/iAncgFqNVqzJy3EGdPfo4rly5AUZT2a/V1tdi7cxtWvvBN/n4nIiIiIiIim3nrjdeR08UmnLHjxuGZJUuRumgxoqKj7ZzMvfijRnYE+9B4QKXxhCYwGgGPPCs7DTmwvLw8q5parYbFYun0fq1Wi/nz5yMgIMDW0WxuxIgRqK+vx9GjR62uVVdX49SpUzh16hRUKhWio6ORkJCAxMRExMfHw9fXV0JiIuptffv2xQsvvICdO3eisrJSuHbixAlERERgxIgRktIRERERERGRM3vjjTeQkZHR6bVHHnkEK1aswJIlS9CnTx87J3MvbfV3ZEewC5XGAyqtJzyC+iBikpsNJKP7UpCfb1Xrricwc/Zspz+wAwCGDB2G+voGfHb0iNW12poanDt7BufOnoFKpUJkVBTiExLQNz4e8fEJ7AkQuYg+MbFYsvJZHNq3B5WVOuHahXNnEBoWhmEjHpITjoiIiIiIUFNTg88++6zTa1qtFgsXLrRvoPt07tw5nDt3DuPHj8dvf/tb9O3bV3YkciAczkXUib/84b9RXSV+cHP+04uRumQZHpv6JDw9PSUlcx8p2A812rq/0ZU0VQCFp4GEibKTkIMqLioUhtF4aD3w8nd/gFs3riE/NxdtbSaYzWZoNBp4e/ug34ABGDJshMsMqgkIDMQzy1di/57dKLtT2uV9LS16ZN/ORPbtTABAZGQUZs1bgPCISHtFJSIb0Wq1mDxlGvoNGIS9u7ZD39zcfq22phoN9XUICubpg0RERERERNT7ysvK8Pv/+q1Qi4vrixe/+U0sfmYJkpKTJSVzL2Pq/yg7gv2Y2wCNJ8wN5WjJOQ6ffjyJizqX32EjzpQpUzBgwABcvHgRtbW1aGv7ot/m4eGBiIgIPPLIIwgLC5MR1SYmT54MtVqNzz//HEajsdN7FEVBWVkZysrKcPbsWWg0GkycOBFTp/L0bCJXEBsbi1deeQWHDx/GuXPnhGvZ2dkczkVERERERET3TafT4dVXxYO+4+Li8K1vfQvLli1DSkqKpGTuJe899xlSpZjboNJ4wlRfhsbMzxEwyPkPZibb6NgTmDT5UQwcNAjp6ZdQW1ODtjYzAECr1SAiMhKjHx6D8PBwGVFtYvyECVCpVDhx/HOY7tITqCgvR0V5OS6cOwe1Wo1x4ydgCnsCRC4huk8MVj7/Ek4c+xSXLog9gYK8PA7nIiIiIiKSaPfu3TCZTJ1ee/TRRxEREWHnRD1z9uxZzJ8/H3/4wx8wffp02XHIQXA4F1EHtzMzsOadt4TajFlz8OYH6yQlck+xqsuyI9iXSQ94+AKZOzici7pUVCA202L7xsPb2xujxzyC0WMekZTKvkJCw7D82edRdqcUVy9fwu3MjPaNRV3R6SqwddMGLF35LELDXKe5SOTOomNisXTV81jz9htCvb6ulsO5iIiIiIiIyCZe/eUv0NTUJNTWbdyEsY+4x3M5R+GPGtkR7EiBYjZCpfGEPn0Lh3NRp5qbm1FeXi7UkpOTERMTg/nz50tKZV8qlQqTJk3CmDFjcPXqVVy4cAGVlZV3fY3ZbMaJEyfQ2tqK2bNnczMOkQvQarWYNWsWampqkJ2d3V6vqXGnnx2IiIiIiIiot/z85z9HQ0ODUNu8eTMmTZokKZF7aqu/IzuCHf2zJ6D1RM2FzRzORZ1qaWlBRXmZUEtMSkJ0nz6YPWeupFT2pVKpMH7CBIwaPRo3rl9H+qWLqNTp7voai8WCM6dPodXQipmz2BMgcgUajQZTpk1HfV0dcrKz2ut1tewJEBEREbmD7j4b1lN+fn7w9/e3ydd2F2lpaV1eW7x4sR2TPDi9Xo/vf//7+NWvfoXly5fLjkMOgMO5iL5GURT8589+Igx68fT0xK/+638kpnI/fXECatx92I7LaqoACk9zQBd1qrCwQFgnJCbJCSKZSqVCTGwcYmLjMGXqdORkZ6G4qBAlRUVobGzo9DV6fTO2btqAJStWISQ0zM6JicgW/AMC4ePrixa9vr2mKIrEREREREREROSqLpw/j40frRdqK59dzcFcdjay4a3ub3I15jZA4wlzQzlaco5zQBdZyc8XD/Xw9PREbGyspDRyeXl54ZFHHsHYsWNRXFyMnJwcFBYWoqSkBGazudPXXLhwAVqtFjNmzOBmHCIXMWjQIGE4l8VikZiGiIiIiIiInNHFixfx/vvvC7VVq1ZxMJedFW74gewIdqeY26DSeMJUX4bGzM85oIusFBbkC5+T9fDwQGxcnMRE8nh5eeHhMWMw+uGHUVpSgrzcXBQWFqLsTmmXB39fvnQJGo0G02c8xZ4AkYtI6d9fGM7FngARERGRe1i0aJFNvu53v/tdfO9737PJ13YHN27cQFZWVqfXwsLC8Pjjtn/W1adPH0ycOBEDBw7EgAEDEBcXB39/f/j7+8NgMKCurg41NTW4cuUKLly4gJMnT0L/tf3JHVksFvz6179GUFAQZs+ebfP85Ng4nIvoa44e3I/jnx0Vaq989wdITEqWlMg9BaNYdgQ5THrAwxfI3MHhXGSlvr7O6hSHvgkJktI4Dh9fXwwfOQrDR46Coiior69DaXERSoqLUJifLwzrampq/GJA18pnERwcIjE1EfUGk8kkDOYCgICAIElpiIiIiIiIyJX95Ef/JqwDAgLw69/8VlIa9+Wv3P3Ua9ekQDEbodJ4Qp++hcO5yEpeXp6wTkhIgEajkZTGMahUKsTHxyM+Ph4A0NbWhpKSEhQWFqKwsBAFBQXCB/PPnDkDjUaDadOmcTMOkQuoq6sT1sHBwVJyEBERERERkfP64Q9/KAy/8fPzw//8Dw/6tjdjdYHsCBL8syeg9UTNhc0czkVWCgoKhHVc377Qat17W6BKpUJc376I69sXwBc9gTulpSgqLERRUSGKCguFnsDF8+ehUWsw9ckn2RMgcgENDQ3COjAoWE4QIiIiIiJCWlpal9cWLFgADw8Pm7xvZGQknnnmGcyYMQODBg3q8j4PDw/4+/sjLi4OI0aMwOrVq1FXV4ePPvoIH374odXfL76kKAp+/vOfY+DAgUhJSbHJvwM5B7XsAESOZM+uHcI6Kjoa3/3XH0tK474KMBlK97e5rqYKoPC07BTkYIoK8oW1j48vIqOiJaVxTCqVCsHBIRg6fCSemj0Pz33jFfSJiRXuaWxswEdr3seJY5+iqbFRUlIi6g1Go8Gq5unlKSEJERERERERubLi4mJcPH9eqP3kP36GqGg+m7O3PM8nZEeQw/zF6d7mhnK05ByXHIYcTcfhXMnJPHCoI61Wi8TERDz++ONYvXo1Fi1aZLXh5uTJk1izZg0yMzOFjZdE5HwMBuveAREREREREdG9Ki8vx6lTp4Taz3/+c8TExEhK5L6Cx62SHUEKxdwGKICpvgyNmZ/LjkMOpiBf3E+QmMSeQEdarRbxCQmY/NhjWLHqWSxctAhqtbh18tzZM1i3di0yMzOEwV1E5HyM7AkQERERETkEo9GIPXv2dHk9NTW119/T398ff/nLX/DZZ5/h+9///l0Hc3UlODgY3/3ud5GWloZhw4Z1eZ9er8cvf/nLB4lLLoDDuYi+JrpPH2Hd1maGhyeHPNhbI+KRrjyPBiVSdhT7M5u++L+ZO+5+H7mdosJCYR2fkMjTWrrh5eWF1CXLERUtfm83GFpx/uxpvPeP13H04H6YTCZJCYnoQXhoPay+D16/ellSGiIiIiIiInJVYWFh8PLyEmodP8BN9lHm8xiyPGfCBNucnuW4FChmIwBAn75FchZyJLW1tairqxNqHM7VvaFDhyI1NdXq2WJRURE2b96M119/HfkdNjgRkfPw7PD5jpycHDQ3N0tKQ0RERERERM4mODgYPj4+Qo09ATkixj2DkMkvAx7esqPY2Vc9gZoLmyVnIUdSX1+PmupqoZaUlCQpjfMYNGgw5i9caNUTKC0pRtrWrXj7rTeR3+EgFCJyHh4e4mcHCgvy0NzUJCkNEREREZH7OnLkCOrr6zu9NmLECPTv37/X3zM4OBizZs2CVqt94K/Vt29fbNq0CRMnTuzynkuXLuHQoUMP/F7kvB78VxqRC1m0dAVe//Mf29fVVZU4tG8P5i7s/WmMdHeNiEc6vgUoQP/p/bq9P+zyH+Fdfc0OyWzM0gZoPICmCqDwNJDQ9R/i5D4URUFRgbgRJD4xUU4YJ+Pt7Y1FS1dg68b1qKzUCdfMZjOuXL6EpqYmzHva+lQcInJsnl5eiInri9Liovba5QvnMWjIcISEhkpMRkRERERERK7E19cXC59OxcebN7XX1rz/Hr73gx9yeL4EZT6PocznMQBA/7Fx3d4ffuE38KrPtnUs21Frv+gbmNsAjSfMDeVoyTkOn36PyU5GDiCvw2YRPz8/REa64cE3PTB8+HC0tbVh165dVteqq6vx0Ucf4dlnn0UiezFETqd///44efJk+9pkMuHw4cNYuHChvFBERERERETkNLy9vbF06VKsXbu2vfbuu+/ixz/+MT9jKkHEuGcQMe4ZAIC/V/cHd2R++F3oS2/YOpbtaDwAswmKuQ0qjSdM9WVozPwcAYMel52MHEBBvtgT8PbxQVR0tKQ0zmXI0GEwm83Ys3s3FEURrtXW1GDL5k1Ysmw5kngACpHTSUrph7Onv+oJtLW14dinRzBn/kJ5oYiIiIiI3ND27du7vLZo0SI7Juk5T09P/O1vf8PSpUuRm5vb6T3vv/8+ZsyYYedk5Cg4nIvoa/oPHIRxEybh3JlT7bUNH37A4VwOzqOxEF61GbJjPCAVAOWL/5lNXzTXMndwOBcBAKoqddDrxROd+yYkygnjhHx8fPDM8lU4eugAbmdlWDXVcrKz8OmhA5j21CxuqCRyMpOnTMOWj9a2/742m9tw/NPDWLB4qeRkRERERERE5Eqef+kbwnCunOxsnDpxApMf44AkR+bRWAiv+s4b5N378pm9ZBbzP/9BgWI2QqXxhD59C4dzEQDr4VxJSUl8xn0fRo0aBS8vLxw4cAANDQ3CNbPZjM2bN+PFF1/kwDMiJ5OQkIChQ4fi5s2b7bUrV65g1KhRSEhIkJiMiIiIiIiInMXLL78sDOfKzc3FZ599hmnTpskLRd3SV2RDf6eH+wlUakCx9G6gnrC0/fMf/tkT0Hqi5sJmDuciAEBBQYGwTkxMZE/gPgwfMRIenp44cugQGurrhWtmsxnbt23Fs6uf48AzIicTExuHwUOHIePmV8M5M2/dwPCRDyGee66IiIiIXNb27dsRERHR61/Xz8+v17+mOygvL8fp06c7vebt7Y05c+bYOVHPBQQE4LXXXsPKlSs7vX7lyhUUFhbyM0huisd3EHWw4rkXhfWJY59anTJBjiUwZytUFpPsGA/oa5t8vmysNVUA5VflxCGHUtShmRYUFIzg4BA5YZyUj68v5i5MxfPfeAUjHxoNrVacT3r1SjrOnT7VxauJyFFFRkVj5OgxQq2oIA/1dbWSEhEREREREZErmjR5MvoPGCDU1rz/nqQ0dK+CMtcB6OlmGgcYzAVAyGH+ondgbiiHoShdUh5yFIqiID8/X6gl80T3+zZkyBD84Ac/QGpqKqI7bLhpbW3FRx99hPoOm3SIyPHNnDkTXl5eQu3ixYuS0hAREREREZGzGT9+PIYNGybU3nnnHUlp6F4VHfgroJi7v7EzjjCYCwC+dviwYm4DFMBUX4bmAj7XcHeKoqCgQ08gMYk9gfs1aNBgfPs738WCp5+2GsJlNBjw8eZNqKurkxOOiHrs8SeehJeXt1C7dpn9dCIiIiJXFhERgaioqF7/n7+/v+x/NaeUlpYGi6Xz52szZsxAQECAnRM9mDFjxuDxx7seln/06FE7piFHwuFcRB3Mnr8QQR2G3mxat1ZOGOqWR2MhvGp7eMqNw1K+aq7VFcqNQg6hqLBAWMcn8KSbngoNC8eTM2cjdclyaDQa4dqpE8fw6eGDqK6qlBOOiHpk3KTH4O3jI9SKO3zfJCIiIiIiInoQKpUKL7z0DaG2c0caqqurJSWi7ng0FsKrPld2jF72Ve+grTq/m3vJ1VVUVECv1ws1DufqGY1GgxEjRuDll1/GoEGDhGsNDQ1Yt24drl27BpPJ2Q8KInIfAQEBVh+Sy8/Ph6I4yvBNIiIiIiIicmQqlQovv/yyUNuxYwd0Op2kRNQdfUU29Hdcbz+B8s8DPAxV7Am4u6rKSjQ3NQm1xKQkSWmcm0ajwdBhw/HCS9/AoMGDhWtNjY3YtOEjXL92FUajUVJCIrpffv7+mDD5MaFWVFjAngARERERkZ3s2LGjy2uLFi2yY5Lec7fc6ekcBuyutLIDEDkaHx8fLF62Au//44322scb1uH//ccv4OnpKTEZdSYwZytUlgf/MLxFpQU0d//vq7b3LCStDxA33s5vSo7GbDajpEgc0hafyGbag+obn4BZcxdg7+4dwkP3y5cu4PKlCwgOCYXFbIbRaITRaEBAQCCGjhiJUQ+Phbe3912+MhHZm6enJ/omJCI786sP15TfKcWwkaMkpiIiIiIiIiJXs3zlKvznL3/R/kFso9GITRs+wne//wPJyagzQZnrADzYSff30jcAAK2dmwcqD194pUy263uS48nLyxPWoaGhCA4OlhPGRajVaixatAjr1q1DcXFxe726uhppaWnw8vKCv78/DAYDDAYDACA+Ph6TJ09GYiIPVSFyNIMGDcKhQ4fa101NTaitrUVoaKjEVEREREREROQsVq1ahZ/85CdobW0FAJhMJnz44Yf48Y9/LDkZdabowF8BxfxgX0TjAY3Wq9vbvhyYZS9qD1/493+s+xvJpeXniwPaAoOCEBISIimNa1Cr1Zi/8Gk0N+tR/LW9GrU1Nfhk1y4cPHCgvSdg/GdPIK5vX4yfMBGJSUnsCRA5mH4DBuDY0a96Ai0tetTWVCM0LFxiKiIiIiIi13f+/HkUFRV1ei0uLg7jxo2zc6LeMWHCBGg0GpjN1s8cMzMzJSQiR6CWHYDIEa1Y/YKwrqrU4fCBfZLSUFc8GgvhVds7p9yolbZe+Tq9ZvDTwLTfAP6RspOQZOV37sBoEk9eiU9IlBPGxQwcPARTpk3v9FpdbQ0aGurR2toCi8WC+vo6nD7xOd578+84+flnaNHr7ZyWiO6mtaVVWKvU/GsOERERERER9a7w8HAsWPi0UFvz/ns8bdUBeTQWwqs+94G/jsP1DQD4jl6CkKf/F9rAKNlRSLKOw7mSk5MlJXEtHh4eWL58OcLDrT+obzAYUF1djaamJphMJphMJuTm5uLDDz/EBx98gOzsbP6ZQORAWlparGrcMEdERERERET3KiQkBEuWLBFq77zzDp//OCB9RTb0d3phP4H5wQ8L720hY5chbtmf4RnEnoC7KywQh3NxOFTv0Gq1WLxkCcIjIqyuGQ0G1FRXo/lrPYH8vDxs2vARPlyzBtnZt/lnApEDaWVPgIiIiIhIirS0tC6vPf300077c3lgYCBSUlI6vVZeXt7p0C5yfVrZAYgc0cDBQzB23ARcOHemvbbxww8wZ/5CeaHISmDOVqgsvdUIU6ExYR6akuZ0eUesvxGozAAUBYgcAngH99J7E3WtsFBspkVERMLXz09SGtczeswjMBqMOH3y83tqkBmMBpw7cwpXLl3E7PkLkdyvvx1SEtHdNDc3oaSoQKj15RBDIiIiIiIisoEXXvoGtm75uH19OysLp0+dwqTJkyWmoo6CMtcBsPTK1+qub6A21GOQTxkABZ4xw6Hx5SnlZHtmsxmFhYVCLSkpSVIa1+Pr64tVq1Zhw4YNqKysvKfXFBcXY8OGDejXrx+WLFkCT09PG6ckou5cv35dWIeGhiI4OFhOGCIiIiIiInJKL7/8MtatW9e+zsnJwbFjx/DEE09ITEUdFR34K6D0zma4qIkrET1heZfXTU01qMq7DECBT9wIaP3YEyDbs1gs7AnYkI+PD5YuX4EtmzehUqe7p9fcKS3B1s2bkZScjEXPsCdA5Agyb90U1kFBwQgOCZWUhoiIiIjIPTQ1NeHgwYOdXlOr1UhNTbVzot4VGtr53ylMJhOampoQFBRk50Qkm1p2ACJHtfL5F4X1558eQVFhgZwwZMWjsRBetb1wyk07BQFF+7q8qtFXACf+AJx7Ezj/D+Cz14CqrF58f6LOFXf4vhOfyGZabxs/aTKe/8YrGDtuAvz8/O/pNQajAXt2pkFXUW7jdETUneKCfGG4noeHB5JSODiPiIiIiIiIet/kxx5DSr9+Qm3t++9JSkOd8WgshFd9bq99vcD8nV1e0+grEHr9DTQe+ysaPv0zanb+FMby3uxbEHWupKQEJtNXh9eoVCpuxOllwcHBeOWVV7B48WL069fvnk/wy8nJwe7du+/pMBAisq2cnBxhPXz4cKc9jZOIiIiIiIjkmDhxIgYPHizU3nnnHUlpqDP6imzo7/Tec/mykx92ea21pgT5O36NisN/RvnBP6L44x+h5c6tXntvoq7cKS2F0WAQagncT9CrgoKC8MJL38DTixYhOSXlnp8j5uflYc/uXewJEDmAgjzxMwIDBw9hT4CIiIiIyMb2798PvV7f6bUJEyYgJibGzol6V1fDuQCgtbXVjknIUWhlByByVHMWpOLVf/8x6uvr2mub1q3BT3/5a3mhqF1gzlaoLKbub7wPalMT/PP3oilpjtW1gPzdQG0eYGn7otBQApz+P+CJ/wQC+vRqju74eXvY9f1IHqPRiDulJUKNw7lsIzQsHI89MQ2TH38CpSXFaGpshJeXFzw8PaEoCq5duYzbmbeE5pmpzYTdaduw8rkX4ePrKzE9kXtrbGgQ1n1i+8LDg39WEhGRY2pu7d2/x/YU/15JRER0f+pb2tr/efnqF/HbX/2sfb0jbTt+/l9/QAhPXbW7AB/rn2l8L60HYOm191BZDAgr2Q9j//lW17xzP4VHSxkUox6AAktdMeoP/BYhT/8vtEHO/aECcmx5eXnCOjo6Gr58Rt3rtFothg0bhmHDhqGhoQElJV/0a7y8vODl5YWysjKcOnUKdXV1wutu3LiBPn36YNKkSRJSExEAKIpi9XszJSVFThgiIiIiIiJyWiqVCi+//DL+9V//tb2WlpaGqqoqhIeHS0zmnpoM1p+3KNr3F0Ax99p7KKZWFJ3YgNBHllhd051PQ0t1ESyGZgAKTLVFuLP71+i79P/gGRLbaxmIOirIzxfWkVFR8Pe/t8Oo6d5ptVoMHjIUg4cMRUNDQ/seDk/PL3oCFRUVOHP6FOo7PHfMzMjA6VOnMGnyZAmpiehLHfcTJCQlS0pCROQ4vv55N5mCfDjGgojIVW3fvr3La4sWLbJjEtv4+gGqHanVajsmIUfB/+pEXfDx8UHq0uVCbcfWjyWloa/zaCyEV60tTp9XEFC0r9P386m6/NVgLgBQLIC+BrjS9Qk5RA+qpLgIFstXG8nUajXi+sZLTOT61Go1+sYnYPDQYUju1x994xMQn5CIuQuexvPfeAUp/QYI99fX12Hv7h3Cfycisi+9vllY+/FDB0RERERERGRDzyxfKQyFNhgM2P/JLomJ6Evq+gJoa3N6/et6Zad1+l6amiyojE0Avhrob9HXoPHUu72egejrOg7nSk7mh8ttLTAwEEOGDMGQIUOQkpKCuLg4jB07Ft/73vewYMECeHt7C/cfOXIEubm5XXw1IrI1g8GAtjbxw+YBAQGS0hAREREREZEze/bZZ+Hl5dW+NhqN2Lp1q8RE9KVWXQ5ayzN7/etWn1nf6Xu1lN6AubUBX+8JmJtrUPn5272egejrCgoKhHVCYqKUHO4kMDAQgwYPwaDBQ5CckoLYuDiMfvhhfOtfvoN5CxbA28dHuP/4sc+Qk5MtKS0RGY1GGIwGocaeABERERGRbeXn5+Py5cudXgsKCsL06dPtnKj31dTUdHnNp8OzAXIPHM5FdBdLVz4rrEuKi1BVqZOUhr4UmLMVKkvX0yYfhNrUBP/8vULNv3Af1KbmTu5WgPLrQG2BTbIQFRWIJ93ExMbB09NTUhoKDQvH3IWpiImNE+qFBfk4e/qkpFRE1NzUKKw5nIuIiIiIiIhsKSw8Ak/OnC3UrqZfkpSGvs77+hoAvT9EX2U2wDN7t1DzLD4OdUsVoJit7jcWp8NUlWdVJ+oNBoMBpaWlQo3DueTRaDQYNWoUUlNToVKp2uuKomDbtm1obu6sv0hEttbY2GhV40YcIiIiIiIi6omwsDAsWLBAqF24cEFSGvo63ZHXO31G/6CUtlbUnN8i1BpuHkZbow6wWL+fvuASDDoO6ifbMBqNKC0pFmqJSUmS0pBGo8HwESOx8GnrnsCuHTs6fS5JRLbX3NxkVfP1434CIiIiIiJb2r59e5fX5s6d6xKzEMrLyzut+/r6wp97mN0Sh3MR3cXgocPh4+sr1G5evyYpDQGAR2MhvGozbPgOCgKK9gnv5111DV8/5UZgNgDXNtowD7mz4sICYd03IVFKDvqKVqvFvIWL4NfhYX36hfMwGo2SUhG5t44b3Dr+/iQiIiIiIiLqbQ+PHSesb1y/KikJfUldXwBtbY7Nvr5XdprwXpqaLKhM1h/yBQCYjWg6t9ZmWci9FRYWwmL5agidRqNBfHy8xEQEAAMGDMATTzwh1FpaWrhRk0iSpibxz2hvb29otVpJaYiIiIiIiMjZTZgwQVhfvnxZUhL6UqsuB63lmTb7+tVn1gvv1VJ6A+aWzofuKGYjqk6usVkWcm/FxUUwm78aCqdWqxEfnyAxEQFAckoKHn9iqlAztLYi/eJFSYmI3Ftzo9gT8PTwhJeXl6Q0RERERESuz2w2Y9euXV1eT01NtWMa2yguLrY6RPVLcXFxdk5DjoLDuYjuQqPRYPDQYULtxjVuspEpMGcrVBaTTd9DbWqCf/5eAIB/4T6o2/R3f4HuBlBbYNNM5H70zc3Q6SqEWkICT7pxBP4BAZj/9GLhxBuDoRVZGTclpiJyX3oO5yIiIiIiIiI7GzZipLDOvHUTbW1tktIQAHhfXwPA0u19PaUyG+CZvRsA4Fl8HOqWKkDp+v2MJVdgqsqzWR5yX3l54q+rvn37wsPDQ1Ia+rpHH30UAwcOFGrp6enCMDUiso+Ow7kCAgIkJSEiIiIiIiJXMGrUKGF98+ZNHuYqme7I64Bi7v7GHlLaWlFzfgsAoOHmYbQ16u76fvqidBh0uTbLQ+6rIC9fWPeJieXAGQcxYeJEDBw0SKhduXJZGKZGRPbR3Cz2BHz9uZeAiIiIiMiWTpw4AZ1O1+m1gQMHYtiwYZ1ecybHjx/v8trQoUPtmIQcCYdzEXVj6LARwvomh3NJ49FYCK/aDDu8k4KAon3waCyEd9U1AMrdbzcbgWsb7ZCL3ElRYYGw9vTwRHRMjJwwZCUmLg6JSSlC7erldElpiNyXoiho7rDJxtfPT1IaIiIiIiIichdDh4t9A0NrK3JuZ0lKQ+r6Amhrc2z+Pl7ZaVDXF0BTkwWVqenuN5tNaDq31uaZyP10HM6VnJwsKQl1pFKpMGXKFKHW0NCArCz++UBkb42NjcLanxtxiIiIiIiI6AE89NBDwtpkMuHmTR7mKkurLget5Zk2f5/qM+vRqstBS+kNmFsa73qvYjah6uQam2ci91NQIA7nSkriQd+OQqVS4dHHHhdqzU1NuJ1l++9PRCTqOJyLPQEiIiIiIttKS0vr8tqiRYvsmMQ22trasG7dui6vjxkzxo5pyJFwOBdRN4aOGCmsb1zncC5ZAnO2QmUx2eW91KYmBN98F+o2/b29QHcDqC2waSZyL0Udmmlx8QnQaDSS0lBnHhr9sLCuKC9D2Z1SSWmI3JPRYIDZ3CbUOJyLiIiIiIiIbC0kNAwxsXFC7QYP9pDG+/oaABabv4/KbID39bVQt1QBSvfvZyy5AlNVXrf3Ed2rpqYmqxPnOJzLsfTp0wdxceKfDxcvXpSUhsh9NTVxIw4RERERERH1nqCgIKvncJcvX5aUhnRHXgcUs83fR2lrhe7oG2hr1N3T++mL0mHQ5do8F7kPvV6PivJyoZbI4VwOJTIqCnF944Va+qVLktIQua+OB337+bEnQERERERkKzU1Nfj00087vebh4YH58+fbOVHv27ZtGwoKCjq9ptVqMW3aNPsGIofB4VxE3ej4sLSmulpSEvfm0VgIr9oMO76jAs+mIgDKvd1uNgLXNto0EbmXosICYR2fkCglB3UtMTkFgYFBQu3g3k/QUF8vKRGR++nYTAMAP/8ACUmIiIiIiIjI3XTsHdTWsHcgg7q+ANraHLu9n7b2NlQm6+cRnTKb0HRurU3zkHvJyxOHvXl5eSEmJkZSGupKx5PxcnNzceLECSjKPfYcieiBNTY2CuuAAPYNiIiIiIiI6MEkJCQI62ruJ5CiVZeD1vJM+73fnZswtzR2fyMAxWxC1ck1Nk5E7qSww0HfHh4eiO1wOATJN/rh0cK6sKAAJ48fZ0+AyI6amzsM5+KBHURERERENvPJJ5/AZDJ1em3q1KkICQmxc6LedePGDfz+97/v8vq0adOc/t+Reo7DuYi6UVpSLKxjYmMlJXFvgTlbobJ0/oe1w9DdAGoLZKcgF1BXV4v6+jqhFp+YKCULdU2tVmP4yFFCrbq6CpvWr0WlrkJSKiL30qwXm2leXl7QarWS0hAREREREZE76dg76BPLD8PL4H19DQCLHd9RAZR7fz9jyRWYqvK6v5HoHuTnixtxEhMToVaz3e9ohg4dCh8fH6F29OhR7Nu3DxaLPb9fEbmvpg4He/hzIw4RERERERE9oKKiImHdt29fSUncm+7I64BituM7Kvf1fvqidBh0uTbMQ+6kY08gPiEBGo1GUhrqyqDBQ+Dj6yvUjn9+DAf2sydAZC9NjR2Gc/mxJ0BEREREZCtpaWldXlu0aJFdMuTk5GDPnj29/vfu27dv41vf+hZaWlo6va5SqfDyyy/36nuSc+GndYm6UVRQIKzjE5PkBHFjHo2F8KrNkB2je2YjcG2j7BTkAoo6nHTj6+uH8IhISWnobh56eAyCgoKFWlNTIz7+aB1qa3gyGpGt1dXUCGs//wBJSYiIiIiIiMidGI1G3CktEWoJHK5vd+r6Amhrc2THuDuzCU3n1spOQS5AURTk5YmD3pKTkyWlobvx8PDA1KlTreoXLlzA3r17JSQicj/V1WKPLiCAvQMiIiIiIiLquba2NhQWFgo1Ppuzv1ZdDlrLM2XHuCvFbELVyTWyY5CLKOgwnCuB+5gcklarxZQnrHsCly9dwt49n0hIROR+6mrF/QQ8sIOIiIiIyDZu3ryJzMzOn89FRUVh8uTJdslRXV2N//f//h9mz56NnTt3wmg0PvDX3L59O5YsWYLKysou71m0aBGGDRv2wO9FzksrOwCRoyssED/onpDIZpq9BeZshcpikh3j3uhuALUFQEii7CTkxDobCqhSqeSEobvy9vbGkhXPIm3LJlRXV7XXDUYDTn5+DPOets+kXyJ3VVF2R1hHREZJSkJERERERETupKSoEIqiCDX2DuzP+/oaAI5/4rSx5ApMVXnwCOevEeq5mpoa1NfXCzVuAHRcY8eOhdlsxsGDB4U/Ly5duoSxY8ciOjpaYjoi19bQ0ICGhgah1qdPH0lpiIiIiIiIyBUUFxejra1NqKWkpEhK4750R14HFLPsGN3SF6XDoMuFVyR/jVDP1dbWoq62VqglJXE4l6MaNXo0zGYzDh88IPQErl+9ijFjxqJPTIzEdESurbmpCfX1dUItIor7CYiIiIjI8eTm5iK/wyDurnQ8xPPrLl26hMbGxnv6OkOGDEFML/6ddPv27V1eW7hwITQaTa+9173Iz8/HT3/6U7z22muYNm0aZs2ahXHjxsHPz++eXm80GnHkyBG8++67uHXr1l3vTUxMxL//+7/3RmxyYhzORdSNooKOJ04kygnipvxRDq/aDNkx7p3ZCFzbCDz+M9lJyEkpioKiwgKhxu87ji0wKAhLVz2H3WlbUVJc1F7Pz82ByWSCh4eHxHRErq28w3Cu6JhYSUmIiIiIiIjInRR26BsEh4QiMChIUhr35G++A219juwY98ZsQtO5tQiZ85rsJOTEOn7gJiAgAOHh4ZLS0L0YP348AgICkJaWBrP5q02DGRkZHM5FZEMlJSXC2tvbG2FhYZLSEBERERERkSvo+GwuMDAQoaGhktK4p1ZdDlrLM2XHuCeK2YSqk2sQm/pb2VHIiRV2OOjb188PkRw249DGjB0Lf38/7N65UxjomJWZyeFcRDZUdqdUWHt6eCIsPEJSGiIiIiKiru3btw+vv/76A3+dv/71r/d873//938jNTX1gd8T+GKQ1d69e7u83lvv0xPNzc3YvXs3du/eDZVKhfj4eAwaNAjJyckICgqCv78//P39YTQaUVdXh+rqaly5cgVXr15Fa2trt18/NDQUb775JgICAuzwb0OOjMO5iLpR2GEKZUIST6G2pyTVUagsJtkx7o/uBlBbAIQkyk5CTkhXUY6WFr1Q65uQKCcM3TMfHx/Mf3ox3vr7n9tPvDG1mVBUkI+U/gMkpyNyTa0tLaitqRZqUX3YwCYiIiIiIiLbK8wXN+Ik8KRqu+vXshuARXaMe2YsuQJTVR48wtljop7puAEwKSkJKpVKUhq6V0OHDkVpaSlOnz7dXsvMzMQTTzwhMRWRa+s4nCsuLo7fL4mIiIiIiOiB5ObmCuuUlBT+XdPOdEdeBxRz9zc6CH1ROgy6XHhFpsiOQk6qoEMvMjExkd93nMCgwUNQdqcMZ06faq/dvp2FKVOnSkxF5No6DueKjomBWq2WlIaIiIiIyHUdOXIEdXV1nV4bM2YMEhMT7ZqnK4qioLCwEIWFhb3y9aKjo/Huu+8iJYXP+Qjg3zaJ7qK2tgb19XVCjcO57Mcf5QhG7/zhZ1dmI3Bto+wU5KSKO/zAFxwSiqCgYDlh6L74+Poirm+8UMvJzpKUhsj1VZTfEdYajRbhEZGS0hAREREREZE7KSwQD/VITGTfwJ78zXcQZC6WHeP+mE1oOrdWdgpyUhaLBQUFBUItOZnfd5zFoEGDhHVFRQVqa2slpSFyfZ0N5yIiIiIiIiJ6EB2Hc/HZnH216nLQWp4pO8Z9UcwmVJ1cIzsGOSlFUax6Aoncw+Q0BgwcKKyrKitRXV3dxd1E9KA6DufqExMrKQkRERERkWvbvn17l9cWLVpkxyT2M3nyZKSlpWHAgAGyo5CD4HAuorso6rDBRqPRIDaur6Q07idJdRQatMmO0TO6G0BtgewU5GRaW1tx49oVoZaQkCglC/VMSj/xh+y8nBxYLBZJaYhcW3mZOJwrMjoaGo1GUhoiIiIiIiJyJx17B/EOcuKTu+jXshsqKLJj3DdjyRWYqvK6v5Gog6tXr6KlpUWocQOg84iLi4Ofn59Qy8x0rs2ERM7CbDbjzh2xd8DhXERERERERPSg8vLE57opKSmSkrgn3ZHXAcUsO8Z90xelw6DL7f5Gog5u3rgOfXOzUEtgL9JpxMTGws/fX6jdzuJh30S2YLFYUFFWJtQ4nIuIiIiIqPeVl5fj9OnTnV7z8/PDzJkz7ZzIthISEvCnP/0J77//PsLCwmTHIQfC4VxEd1GYL26wiY3rCw8PD0lp3Is/yhGMQtkxes5sBK5tlJ2CnIjJZMLObR+jurpKqMcnJklKRD3RcSOmXt8MQ2urnDBELq68wwabqOg+kpIQERERERGRuyno0DtI4GnVduNvvoMgc7HsGD1jNqHp3FrZKcjJZGVl4ZNPPhFq4eHhCAwMlJSI7pdarUZih95BdXW1nDBELq6iogJtbeLhX7Gx3IhDREREREREDyY3VxywxMH59tOqy0FruXMOulfMJlSdXCM7BjmZnJxs7Nm9W6gFh4QgJCREUiK6XyqVqpOeQFXnNxPRA6muqoTRZBRqHM5FRERERNT7duzYAYvF0um1WbNmwdfX1655xo4dix07duDf//3fMWXKFAQFBT3w1/Tw8MCUKVPw17/+Ffv378fcuXN7ISm5Gq3sAESOrKhA3GDDITn2k6Q6Cg3aur/RkeluALUFQEii7CTk4MxmM3anbUNpibipLDQ0DCn9B0hKRT1RqdMJaw+tBzw8PSWlIXJdiqKgolwczhXNZhoRERERERHZgaIoKCpk70CWfi27oYIiO0aPGUuuwFQWGlp3AAEAAElEQVSVB49wbt6i7uXn52Pr1q1WH2yZNGmSpETUUxUVFcLaz89PUhIi11ZSUiKsw8LC4OPjIykNERERERERuQJFUayGc6WkpEhK4350R14HFLPsGD2mL0qHQZcLr0j+mqHuFRUWIq2TnsD4CRMlJaKe0nXYT+Dv5y8pCZFrK7tTKqyDgkPgyx4cERERETmo733ve/je974nO0aPfPvb38a3v/1t2THaqdVqDBkyBEOGDMELL7wA4IvPDGVmZiIrKwslJSUoKytDeXk5Ghsb0dLSAoPBAEVR4OXlhYCAAERERCA2NhYDBgzA8OHDMXbsWLsPGSPnw+FcRHdRUJAnrBO4wcYu/FGOYBTKjvHgzEbg2kbg8Z/JTkIOzGKxYP8nu1CQLzbv/fz8sfCZpdBoNJKSUU/k5WQL6/jEJGi1/HGLqLfV1tTA0Noq1KL7xEhKQ0RERERERO6kUleBFr1eqCUmctCSPfib7yDIXNz9jY7MbELTubUImfOa7CTk4EpLS7Fp0ya0tYkH2UyYMAEPPfSQnFDUI9XV1aiqqhJqAwbwYBYiW+g4nCsuLk5SEiIiIiIiInIVNTU1aGhoEGrJyewJ2EOrLget5ZmyYzwQxWxC1ck1iE39rewo5ODKy8qw5ePNVj2BMY88glGjR0tKRT1RW1trddh3v/79JaUhcm0dh3P14UHfRERERERuKy4uDnFxcXjyySdlRyEXppYdgMiRFRUUCOt4DueyiyTVUWjQ1v2NzkB3A6gtkJ2CHNixo4eRlXlLqHl7+2DxshUICQmVlIp6wmw2oyCvwwlpbKYR2URFmdhM8/P3h39AoKQ0RERERERE5E469g08PT0R1aePnDBupl/LbqigyI7xwIwlV2Cqyuv+RnJbNTU12LBhA4xGo1AfNWoUZsyYAZVKJSkZ9URWVpaw9vf3R0wMDxogsgUO5yIiIiIiIqLelpcnPsvVaDSIj4+XlMa96I68Dihm2TEemL4oHQZdbvc3ktuqq6vD5k0bYTQYhPqwESMwfcZT7Ak4mezbt4W1r58fYmI5MIjIFspKOw7nYv+NiIiIiIiIbIfDuYjuojBfbKglJPGkG1vzRzmCUSg7Ru8xG4FrG2WnIAd1+dIFXL50Qah5enji6WeWIjwiUlIq6qmS4iIYjGJjNCm5n6Q0RK6tvOyOsI7uE8MPIBAREREREZFdFHToG/RNSIRGo5GUxn34m+8gyFwsO0bvMJvQdG6t7BTkoFpaWrBx40bo9XqhPmTIEMybN4/PwJzQ7Q4bcQYMGMD/jkQ2oNfrUVNTI9Q4nIuIiIiIiIgeVG6uOFQpISEBWq1WUhr30arLQWt5puwYvUIxm1B1co3sGOSgWltbsfXjzdA3Nwv1AQMHYu68+XyW7IRyssWeQEq/flCruXWTqLe1traiurpKqPWJ4SA8IiIiIiIish0+4SHqgqIoVoMfwsMjJKVxH0mqo9CgTXaM3qW7AdQWyE5BDiYvNwefHTkk1DQaDeYvegYxsfyguDMqyBM/hBHdJwb+AQGS0hC5tsqKcmEdGc2TboiIiIiIiMg+yu+Ip6+yb2Af/Vp2QwVFdoxeYyy5AlNVXvc3klsxm83YsmULqqrED5KnpKQgNTWVmzeckMFgQFFRkVAbOHCgpDRErq2srExYa7VaREbyMCQiIiIiIiJ6MCUlJcKaf9e0D92R1wHFLDtGr9EXpcOgy+3+RnIrFosFO7ZvQ6VOJ9QTEhOxMHURewJOyGQyoaiwUKj1HzBAUhoi11apqxDWGo0GEZFRktIQERERERGRO+DTOqIuqFQqREX3EWqfHj4oKY178Ec5glHY/Y3OxmwErm2UnYIcSKWuAnt3pkFRxM1kM2bNRUJikqRU9KCMBoOwbmxogNFolJSGyHVZLBZUV1UKtcgoNtOIiIiIiIjIPqJjxAHR6RfPo7amWlIa9+BvvoMgc7HsGL3LbELTubWyU5ADURQFe/fuRX5+vlCPiorCkiVLoNVqJSWjB2EymWCxWIRax+FrRNQ7KirEjThRUVHQaDSS0hAREREREZGriI2NFdYXLlyw+jso9a5WXQ5ayzNlx+hVitmEqpNrZMcgB6IoCg4e2I/8PPEgl/CICCx6hj0BZ9VZT6C6in1kIlvoOJwrLCyc3zuJiIiIiIjIpjici+gu5j29WFhv/3gD2traJKVxfUmqo9DARf//q7sB1BbITkEOoKmxETu3bYHRJA5tmjD5MQwZNlxSKuoNg4YOE9bNzU24cO6MpDRErqu+rs7q57GwCJ5ISERERERERPYxfdYceHl5ta9NJhN2bNsiMZHr69eyGyoo3d/oZIwlV2Cqyuv+RnILp0+fRnp6ulDz9/fHihUrhO855Fz8/f2RnJws1E6cOIGmpiZJiYhcV2fDuYiIiIiIiIge1Jw5c+Dj49O+NpvN2LBhg8RErk935HVAMcuO0ev0Rekw6HJlxyAHcf7cOVy+dEmo+fr5Ycmy5fD29paUih6Ur68vUvr1E2pnTp9CY2OjpERErqvjcK4I9gSIiIiIiIjIxjici+gulqxYJawrystx/LOjktK4Nn+UIxiFsmPYjtkIXNsoOwVJZjKZsHP7FjQ01Av1QUOGYcKkRyWlot7SNz4BiUkpQu3sqRP4/NMjVqfgEFHPVVfqhLWvnx/8/PwlpSEiIiIiIiJ3ExQUjJlz5gu1rRvXS0rj+vzNdxBkLpYdwzbMJjSdWys7BTmAjIwMHD58WKh5eHhgxYoVCAoKkpSKesuTTz4prFtbW/Huu+/izp07khIRuaaOw7mio6MlJSEiIiIiIiJXEhgYiEWLFgm1NWvWQFFc70AJR9Cqy0FreabsGDahmE2oOrlGdgxyALdvZ+HTI2JPQKvV4pklSxEcHCwnFPWaKU9MFdZGgwFrP3gfd0pLJSUick2VOnE/QUQEh3MRERERERGRbXE4F9FdDBw8BCNHPyzUtnCTjU0kqY5CgzbZMWxLdwOoLZCdgiRRFAX7P9mFivIyoR4b1xdPzZ4LlUolKRn1pkenPGFVu3j+LLZt3oAmnnpD1CsqK8UNNmHhkZKSEBERERERkbtasvJZYX396hXcunFdUhrX1q9lN1Rw3U1OxpIrMFXlyY5BEpWWliItLU2oqVQqpKamIiYmRlIq6k0xMTEYOnSoUKuvr8cHH3yA9PR0buQk6gVmsxmVlZVCLSqKG3GIiIiIiIiod7zwwgvC+saNG0hPT5eUxrXpjrwOKGbZMWxGX5QOgy5XdgySqLysDLvS0qyeC89bsACxcXGSUlFvioqOxtBhw4RaY0MD1n+4FumXLrEnQNQLLBYLqqvEnkB4JPcTEBERERERkW1xOBdRN5YsXyWsD+3bg9raGklpXJM/yhGMQtkxbM9sBK5tlJ2CJDn5+WfIvi2e5hQUHIL5Ty+GVquVlIp6W2RUNMZPetSqXlxUiPfffgPHjh6GvrlZQjIi11HdYYNNeESEpCRERERERETkriY//gT6xMQKNR7s0fv8zXcQZC6WHcO2zCY0nVsrOwVJUl9fj02bNsFkMgn1J598EoMHD5aUimzhqaeeQmBgoFBra2vD7t278fbbbyMrK4sbcogeQFVVFcxmceMuh3MRERERERFRb5kyZQoSEhKE2tq1a+WEcWGtuhy0lmd2f6MTU8wmVJ1cIzsGSdLQ0IAtH2+26gk8/sRUDB4ytItXkTOa+uR0BAUHCzWz2YwD+/bi/XffQVZWJnsCRA+grrYGbW1tQi0ykj0BIiIiIiIisi0O5yLqxoLFS+Dp6dm+NhqN2LVti8REridJdRQatHV/oyvQ3QBqC2SnIDu7fvUyzp89LdS8vLyR+sxS+Pr5SUpFtjLp0ccxfeZsaDQaod7W1oZLF87h/X+8gRPHPkV1VSUK8vNw9fIlfP7pERzatweXL13g8C6iblRV6oR1OJtpREREREREZGcajQaLl60QamlbNsNoNEpK5Jr6teyGCq7/wXRjyRWYqvJkxyA7MxgM2LhxI5qamoT66NGjMXHiREmpyFYCAwPx8ssvW23iBIDy8nJs2rQJ7733HrKzs1FWVoabN2/ixIkT2L17Nw4dOoSCggJu1CG6i4qKCmEdHBwMb29vSWmIiIiIiIjI1ajVajz33HNCbePGjTAYDJISuSbdkdcBxdz9jU5OX5QOgy5XdgyyM6PRiG0ff4ymxkahPnzkSEycNElSKrKVgIAAPP/iS4hPSLS6pquowPYtW7Dm/feRnX0b5WVlyLh1E6dOnsS+vXtw5PAhFOTnsydAdBe6Dj0Bf/8A+Pj6SkpDRERERERE7kIrOwCRowsODsFTc+bhkx3b22tbNq7H89/8lsRUdlKtt/lb+Gt0CA4uAFQ2f6sH1isRzUZobm6Gz4xf9cZXIydQVFiAIwf3CzW1Wo15Ty9CaFi4pFRkayMeGo3wiEjs2ZmGxsYG4ZrRZMT5s6etBrZ96djRwxgwaAiefGoWvLy87BGXJGtuNXV/EwEADK2taGyoF2rhEZGS0hARETkvR/n5w8/bQ3YEIiKiHntm+Sr8/f/+t31dU12FTw8fwMw58yWmspPaVpu/hT/KEaQqvvtNTtBXuCdmEwwX1iE89beyk7gUfy/H/VnTYrFg27ZtVsNkkpKSMGfOHKhUrvKLm77O398fq1evxqFDh3Du3Dmr66WlpdiwYUOnrz19+jSCgoIwc+ZMDB482NZRiZxOeXm5sI6K4qEeRETkPOpbHONAyyAffpSYiIjobp577jm89tpr7euamhp88sknWLx4scRU9mGPZ636imy0lmfa/H0cgWI2oerkGsSyJ+A2LBYLdu1IQ3l5mVDvG5+A2XPmsifgovz8/LBi1Sp8evQIzp89a3W9vOwOtm7e3Olrz589i4DAQEyfMQODBg/p9WyO8vdQop6yOuibewmIiByao/zswWfgRERE9KDUsgMQOYMlK54V1teuXEbGzRuS0riWJL8T0Khc/5SbrzOXXYe5Ol92DLKDmuoq7E7bBovFItSffGoWEhKTJKUie4mJjcOq51/CiJGjoFbf+49cFosFmbduYMfWzTz1hqiDjs00tVqDkNAwSWmIiIiIiIjInSX364+x4yYIta0bP5KUxvX0U+2DCu7zbExflA6DLld2DLKTAwcOIDs7W6iFh4djyZIl0Gg0klKRPWg0GsyaNQvLli1DRETEfb22vr4eH3/8sdWvHSKC1bBDDuciIiIiIiKi3pacnIzHH39cqK1du1ZOGBdUdOCvgOI++wnYE3Avnx49guzbt4VaaFgYFj3zDHsCLk6tVuPJ6TPwzLJliIi8v+FBjQ0NSNu2DbdvZ9koHZHzqtSJ+wnu9/cXERERERERUU9wOBfRPXjsiWmI6tNHqG3dxE02D8pfo0OwR5HsGPZnNsB4ab3sFGRj+uZmpG39GAZDq1AfO24Cho8cJSkV2Zuvnx+mz5qDF17+NoYOH3FfpxuVlhTj2pV0G6Yjcj7VVZXCOiQslB9OICIiIiIiImmWrBQP9jh66IDVYGm6f/4oRxBKZcewK8VsQtXJNbJjkB2cO3cO58+fF2q+vr5YsWIFfHx8JKUiexs0aBC+/e1vIzU1FaGhoff12j179sBoNNooGZFz4nAuIiIiIiIisocXXnhBWO/fvx9lZWWS0rgOfUU29HcyZMewK/YE3Melixdx/uxZoebt44Nnli6Dr6+vpFRkb/37D8BL33wZC55+GqFh93cg8cH9+2EwGGyUjMg5VerEnkBEJHsCREREREREZHsczkV0DzQaDRYvXSnUdm3fAkVxn1PbbSHJ7wQ0Kvc55ebrzGXXYa7Olx2DbKStrQ27d2xDfV2tUO8/YBAenTJVUiqSKTg4BDPnzMcL3/wWBg0Z1j5MyMvTC1FR0Rg4aAgGDhoCD62H8LoTn32KFr1eRmQih9Rxg3NEBJtpREREREREJM/cBanw/townba2NuzZmSYxkWvop9oHFdyv/6IvSodBlys7BtnQ7du3ceDAAaGm0WiwbNmy+x7QRM5PrVZjxIgR+O53v4sFCxa0/xpQqVQIDg5GcnIyRo8ejcgOp33X19fj+PHjMiITOaSmpiY0NTUJtejoaElpiIiIiIiIyJUtWrQIfn5+7WuLxYItW7ZITOQaig78FVDcbz8BewKuLzc3B4cPWvcEFi1+BmH3OaCJnJ9arcbQYcPx8re+jbnz57cP6VKpVAgKDkZiUhJGjhqFyA4HDzQ2NODE8c9lRCZySC0tLWhsbBBqER16aURERERERES2oJUdgMhZLFj0DN74yx/b1xXl5dA3N8PP319iKuflo6lFsEex7BjymA0wXloPnxm/kp2EepmiKDi4bw9KS8Rf31HRfTBr3gKoVCpJycgRhISGYc78hbBY5sNgMMDb21v4NVGQn4ftH29sXxuMBmRl3sJDo8fIiEvkcKo6nHQTFsFmGhEREREREckTEBiIJ5+aJQzkys/jRooH4YNqBKFUdgwpFLMJVSfXIDb1t7KjkA2Ul5dj27ZtVgf/LFy4EPHx8ZJSkSNQq9UYNWoURo0ahdbWVnh4eLQf8AF80Xdat24d8vO/OvQnPT0dU6dOhVrNs9iIKirEvoGHhwdCQkIkpSEiIiIiIiJX5u/vj/nz52PTpk3ttdu3b0tM5Pxaa0qgv5MhO4YU7Am4tkqdDju2b4fFYhHqs+bMQUJiopxQ5BDUajVGjHwII0Y+hNbWVmi1Wmi1X23tVBQFmzduQH5eXnvt2tWreGLqNKF3QOSuOh70rdFoEBoWLikNERERERERuRN+WpPoHoWFWz+sMZqMEpK4hnDPbKhVbbJjSGUuuw5zdX73N5JTOXPqBDJv3RBqgYFBWLhoCTw8PCSlIkejVqvh4+NjNawtMSkZ/QcMEmo5/PAGEYAvThqsrqoUauEREZLSEBEREREREX0hrMMHPU1G9g0eRB9cggpK9ze6KH1ROgw6DnhzNY2Njdi4cSOMHb4/TJkyBcOHD5eUihyRt7e31eYalUqF2bNnCzW9Xo/iYjc+BInoazoO54qMjOTgOiIiIiIiIrKZiA6fV+v4zI/uT2X6J4Bilh1DGvYEXFNTUxO2fLwZRoNBqE+a/ChGjHxITihySN7e3sJgLuCLnsCMmbOEWmtLC4qLiuwZjchh6Tr0BMLDI9gTICIiIiIiIrvg3z6J7lFnQ3XaTCYJSVyDGm0AVN3e59LMBhgvrZedgnrRrRvXcebkcaHm6eGJhYuXwD8gQFIqcjYDBw8R1iXFhTB0aNASuaP6ujq0tYmDPcMjoySlISIiIiIiIvqCtkPvwNTGvsGD8IBedgSpFLMJVSfXyI5BvchoNGLTpk1oaGgQ6iNGjMDjjz8uKRU5m4iICERFic9Cs7KyJKUhciwdh3NFR0dLSkJERERERETuwNPTU1ibuJfggbTp62RHkIo9AddjMpmwbcsW1NfVCfUhQ4fisSlTpGQi5xMWFobo6D5CLTubh30TAUBVZYfhXJGRkpIQERERERGRu+FwLqJ75OHhaVUzGdlQ66lyw1AYLT5QZAeRzFx2HebqfNkxqBeUFhfj0P49Qk2lUmHOwlREcHgM3YfE5BRoNJr2tdlsRmF+nsRERI6hYzPN188Pvr5+ktIQERERERERfaFj74B9gwdTjAmwuHn7Ul+UDoMuV3YM6gWKoiAtLQ137twR6vHx8Zg/fz5UKjc/xIbuy6BBg4T17dvciEMEAOXl5cK64yA7IiIiIiIiot7UcTiX0WiUlMQ1RI17BlCzJ8CegGtQFAV7du/CndISoR4TG4c589gToPszYOBAYZ2TnQ1FcffdV0RApU4nrCMieWAHERERERER2Yd7P8kmug8entbDuYwmNtR6ymAJQnrdSpTqh8uOIpfZAOOl9bJT0AOqra3BrrStMJvNQv2JJ2cgOaWfpFTkrLy8vBDXN0Go5eVmS0pD5DiqKsVmWlg4T7ohIiIiIiIi+Tw9PYS1iRtxHogeUbimLIUZWtlRpFHMJlSdXCM7BvWCI0eOIDMzU6iFhIRg2bJl0Grd99c49cyAAQOEdVVVFWpqaiSlIXIMZrMZVVVVQo3DuYiIiIiIiMiWPDzEngCHcz0Y36h+SF78O6i0XrKjSMOegOv4/LPPkHHrllALCg7G4iVLrL53EHWnX//+wrq2pgbV1dWS0hA5BovFguqqSqEWEcn9BERERERERGQfHM5FdI86eyDOTTYPxmAJQo7+KZyvXY3y1kFQ4J6ngZjLrsNcnS87BvVQS0sLdm79GC0teqH+0OgxGPXwWEmpyNkl9xOHuuXn5vK0G3J71ZViMy08IkJSEiIiIiIiIqKvaDtuxOGhHg+sDv1xXvkXFCoTYHHTIV36onQYdLmyY9ADuHTpEk6dOiXUvL29sXLlSvj6+kpKRc4sJiYG/v7+Qi07mwd7kHurqqqyOjyJw7mIiIiIiIjIljw7HPbN4VwPLrjfeAx5eS0ixi+HSmN9mLo7YE/A+V27egWnT50Uap5eXliydJnVc12iexEVHQ3/gAChlsOeALm52ppqtLW1CbWICA7nIiIiIiIiIvtwz0+0E/WAxWKRHcFl6c2RyGyai8ymuZ1e7798RI++rkdjIcIv/R7qtuYHiWd7ZgOMl9bDZ8avZCeh+2Q2m7Fn53bU1IinkCQl98MTT86QlIpcQVJKP3x25FD7Wq9vRnnZHfSJiZWYikiuKl2FsA6P5AYbIiIiIiIiko+9A9swIBj5mI58ZXqX90zpSe+gNh84/w+gLh9QHPe/nWI2oerkGsSm/lZ2FOqBvLw87N27V6ip1WosXboU4eHhklKRs1OpVOjfvz8uX77cXrt9+zbGjRsnMRWRXOXl5cI6ODgY3t7ektIQERERERGRO2BPwDa8gvug79RX0HfqK13e02Qw3ffXbdXloOLQn78YfKWYu3+BJOwJOLfCggLs76QnkLpoMSIiOTSGekalUqFf//64kp7eXsvNycb4CRMkpiKSq1KnE9b+/gHw4aFIREREREREZCdq2QGInEV9Xa1VLSg42P5B6J75F+6Duk0vO8Y9MZf9f/buOjyuMm0D+D0zsYm7u3vq7u6uQFlcdpFFFvaDhUV3cRZftAsFCqXumjZ1l3gaa1xm4p6x749C4GQibTMSuX/XxbU9z/uec57ptmlynvM+bxJUFbnGToNugkajwcF9u5Gfd00Qd3FxxdyFiyEW859YunUODo5wdHQSxHKys4yUDZHxtTQ3o66uVhBz5k43RERERERE1AvUVFcLjlk36OVyjwCN8l7dmOs3jfkXry8Yoj5FJpNhw4YNWov05s+fj4CAACNlRf1FSEiI4PjatWtoaWkxUjZExldWJtzUw82Nm3oQERERERGRflVVCdcTODg4GCkTuhG1KQegrCvv1Y25fsOaQN8kl8uxaeMvUKmEf8Zmzp6DwKAgI2VF/UVQcLDguCA/H83NzUbKhsj45DJhcy4XbvRNREREREREBsTOIUQ3qP0CGwCws2dBrbcyrcuDhTwRgMbYqdwYVQtaL6wzdhZ0E86dPoXkxCuCmJWVNRYtWwlzc3MjZUX9SWCwcJFNblamkTIhMr72xTSxWAKHdg3siIiIiIiIiIyhfe3A3t7ROIlQ96pyAVk60Fpn7ExuiEalgPz4WmOnQTehoaEBP/74o9bCiHHjxmHw4MFGyor6k6CgIEgkkrZjlUqFnJwcI2ZEZFxszkVERERERESG1r45l6MjawK9VXN5FpqKkqFqYk2A9KOxsRG//PwTmpuaBPGRo0Zj8JAhRsqK+pOAgECYmJi0HavVauTmsIkfDVzl7WoCLq7c6JuIiIiIiIgMh825iG5QdbtimtTSkg14ejHrvN0QKxuNncZNUZUkQVWRa+w06AZcTU/DsYR4QczUxBSLlq2ArZ2dkbKi/qZ9c66yslI01NcbKRsi42rfnMvByVGwCI2IiIiIiIjIWKqrKgXH9vb2xkmEupd7BGiUAxq1sTO5YY35F9FSzpfs+wKlUomffvpJa3FeZGQkpk6daqSsqL8xNzeHn5+fIJaVlWWkbIiMr7S0VHDM5lxERERERESkb5WVwpqAgwM3+u6talMOQFlXDmhUxk7lhrEm0HcolUps+uUXVLX7mhAaFobJrAmQjpiZmcGXNQGiNu3XEzi7sDkXERERERERGY5J91OICACqq4Uv09vbs5jWW5k0lsKiIgmAxtip3BxVC1ov/gDp9H8YOxPqQklxEfbs3CaIiUQizJ6/EO4enkbKivojTy9vmJuZo6W1pS1WWJCPsIhII2ZFZBzti2kuLlxgQ0RERERERL1DTXW14NieC3F6p7oSQH4VaK0zdiY3RaNSQH7yW3gtesXYqVAXNBoNtm7dioKCAkHcy8sLixcvhkgkMlJm1B+FhIQgJyen7fjatWvGS4bIiOrr69HQ0CCIubu7GykbIiIiIiIiGijaN+d3dHQ0UibUldaqQjQXp0LVxJoA6Z5Go8HuXTtRkJ8niLu7e2DBosUQi8VGyoz6o6DgEORk/960ryA/34jZEBlPU2Mj6upqBTFXbthBREREBACwkVjBDGbGTkMvWiWtxk6BiKgNn/oR3aDqdsU0uz7cnKu+vg7//eAdfPLeW1q7dfQHZtWZECsbjZ3GLVGVpUBdU2zsNKgTNTXV2LbpFyiVSkF8/MQpCAkLN1JW1F9JJBJ4evsIYoUFLKjRwFTRrjmXE3e6ISIiIiIiol6i/cYefbl2cOp4At569QUkHDoAjaaPbX7RnQYZoGgENGpjZ3LTGguuoLWq0NhpUBeOHDmC5ORkQczOzg6rV6+GqampkbKi/srf319wXFFRgfr6euMkQ2REZWVlgmNTU1M4sEkqERERERER6Vllu/fu+/LPokeOHMEzzzyDXbt29buagLK2HKrWBkCjMnYqN401gd7vxLFjSE5MFMRsbG2xfNUqmJn1z8XQZDx+fn6C4+qqKtTW1nYym6j/krVbS2BiYgIHRycjZUNEREREREQDEZtzEd2g8rJSwbF9Hy2mtba24k/L5uP9N17Fh2+/jj/ftbrfFdREqhagr34mRTNU5enGzoI60NLSgq2//IyGBuECh5jYQRg2cpSRsqL+zqtdc64iNueiAUitVqNCLhPEnF1cjJQNERERERER0e8UCgUqKyoEsb5aOzi4ZyfuWbkIX3/6IR64YxmOHT5k7JR0yzEIEImMncUt0Sia0VScauw0qBNXrlxBQkKCIGZubo7bbrsN1tbWRsqK+jM3NzeYm5sLYnl5eUbKhsh4SkuF72+4urpCLOYrUERERERERKQ/SqUSMpnwPTZHR0cjZdMzO3fuxNSpU/H2229j3rx52Llzp7FT0ilzt1DWBEgvUpKTcDThiCBmamaGFStXwcbGxjhJUb/m4uoKcwsLQawgnzUBGnhk5e02+nZyZk2AiIiIiIiIDIo/hRJ1o7W1Fe/8+1W8+eo/BfG+usDm8w/fRfKVS23HF8+dRvbVDCNmpHt9tC3XrzRQK5uNnQS1o1arsXPrZsjbNYfx8w/A1JmzIeqjBVzq/bx9fAXHcrkMLS0tRsqGyDiqq6qgVCoFMWdXNyNlQ0RERERERHRdalIi5k+bgKrKvt+cq6qyEs89+Reo1eq22Ibv1xoxIz0wswKcw42dxa3RaKBWsG7QG+Xl5WH79u2CmEgkwrJly+DmxudXpB9isRg+PsKNPQoKCoyUDZHxlJWVCY7d3d2NlAkRERERERENBElJSRg1apTWz6N9sTlXVVUV7rrrLkFN4IsvvjBiRronsbCG1CPa2GncGtYEeq3CggLs2rFDEBOJRFi0ZAnc+GyK9EQkEsHXV7ieoLCw0EjZEBmPXCb8HsyFtVgiIiIiIiIyMDbnIupC0pVLmDtlPP7z1r+1mkKEhIYZKatbl5GWgv9+8I5W/PLFc0bIRn/U5g5Qm1gaO41bIAJMrSCxdDJ2IvQHGo0Ghw/sw7XcbEHc0dEJ8xYthUQiMVJmNBDU19cJjjUaDXf4oAGnQi7c6cbSygqWllZGyoaIiIiIiIgGutbWVrz35uuYM2UckhOvCMZMTEzg5x9opMxu3b9e/DtqqqsFsaOHD0Kj6dtbYWhxjQREffDZmqkFTKydjZ0FtVNZWYmffvoJKpVKEJ8zZw5CQkKMlBUNBBqNBnV1wtoBN5Ghgaj9Ymg2RSQiIiIiIiJ9UCgUeO211zB06FBcuHBBMCaRSPrks8CnnnoKFRXCjUd2797d72oCUp9Y1gRIZ6qqqrDxlw1aa4qmTp+BkJBQI2VFA4FGo0FdLWsCRLJ2NQFnF9YEiIiIiIiIyLD64NNmIv1rqK/HW6+9hHlTJyAtJUlrPComFvf/+VEjZHbrlEolnnviL1oFAQBI7+Az9mUtDuFocQiDwtIDfebLnEgMkZ0XJO5RkLhHGTsb+pVGo8Hpk8dx+ZKwoC6VWmLxilWwsLAwUmY0EGg0Gpw/e1oQc/fwhKmpqZEyIjIOuUzYnMvJ2dVImRAREREREdFAd/H8WcybOh7vvfG61rN2iUSCl//9Nmzt7IyU3a05cnAftm/6WSve0tyMygq5ETLSI8+hgGs0IDE3diY3SASRmSUsvWNh6R1r7GToD6qqqvDDDz+gqalJEB81ahSGDx9upKxooMjNzdVqSuTv72+cZIiMRKVSQSaTCWJszkVERERERES6du7cOYwcORIvvPACFAqFYEwsFuO9996Do6OjkbK7Nfv27cPatWu14mq1GsXFxUbISH+sA0dC6jMIIhPWBKhnqqurseGn9WhsaBDEhw4fjuEjRhgpKxoo8vPyUFpaIoj5+vkZKRsi41Cr1aho9+6CiyvXExAREREREZFhmRg7AaLepLGhAf/76nP896P/dLjoxMTEBH954mk8/vTfYWZmZoQMb936b79G8pVLHY6ZmPSvRi8aUytURd4Ps9pc2ORshVjVBElzRfcndkMi1s8OE2IrF8DMEmaDVkLiHAKRubVe7kM3p7GhAXt2bse13GxB3MTEBIuWroC9vYORMqOBoriwEKUlwpcdho0YZaRsereqygrkZGXhWm4O5LJyWFpaIjgsHBFR0fy72g/Iy4XNuVhMIyIiIiIiIkO7cukC3v33a4g/sK/D8bCIKLz3yX8RN3iogTPrmdbWVrz4zF87HTcx6WdlRDMrYOxTQFkykLIBaJB1f84NEOupdmBi6wan0Wtg6TMIEgvWDXqL5ORk7NixAy0tLYJ4aGgoZsyYYaSsaCA5efKk4NjJyQmhoaFGyqb3UiqVyM7ORnZ2NnJzc9Ha2gpPT0/ExsYiJCSk//0bN8DIZDKo1WpBjM25iIiIiIiISFcuXryIl156CTt27OhwPCIiAmvXrsXIkSMNnFnPKBQKPPDAA52O97eNYyUW1vCc/wIa8y+j4vQ6KGvLuj/JiFgT6J3S01Kxa+dOtDQ3C+KBQUGYPmMmRCL91IiIfnP2jHCjbwdHR4SGhhkpm95LpVLhWk428q7lIv9aLhQKBVzd3BEZHYOAoGDWBPq4qsoKrc3TXFy4noCIiIiIiIgMi08XiAA0Njbi008/xRtvvoUKeceLMSKiYvD+p58jOnaQYZPTkb07tnY65uXja7hEDERjaoUWp2i0OEXr7JrhvvY6uxb1bnnXcrFnxzY0NNRrjc2YPQ+e3t5GyIoGmksXzgmO7ezsERIWbqRseieNRoNjR+Jx/uxpaDSatnh9fR3Ky8tw8lgCvLx9EBEVjdDwSEilUiNmS7eqQiZszuXEYhoREREREREZSHcLcCQSCR554mk89vTfYW7eV3Ze/92VC+dQ1q45/G+sbWxha2dv2IQMwcwK8Bl5/T8dCfay09m1qPdqbW3F3r17cfHiRa0xd3d3LF26FGKx2AiZ0UBSUVGBrKwsQWz06NFcANaOTCbD+vXrUVlZKYjX1NQgLS0NUqkUUVFRiIuLg7e3N3//+qCyMuFiWnt7e1hYWBgpGyIiIiIiIuovLl++jJdeegnbtm3rcFwsFuPZZ5/Fiy++2Cd/Dj1//jzy8/M7HJNKpXBxcTFwRvonsbCGTeg42ISOM3Yq1McoFAocPLAfly5c0BpzcXXF4qXLWBMgvauqqkLm1auC2PARI/lnr53KCjm2bvoFVZUVgnhtbQ2yMjNgbm6BsPAIREbHwpM1gT6pvF1NwMbGFlJLSyNlQ0RERERERAMVm3PRgJeYmIiZM2eitLS0w3ETExM8+tQzePTJZ2BmZmbg7HSnrq620zFPbx8DZkLUe6lUKpw6fhRnT58UNPoBAJFIhAmTpiIiSncN34g6o9FocC03RxAbPHQ4i2l/oFarcWDvLiQnXulyXlFhAYoKC3Dk0AEEhYQhKiYWfv4B/L3sI5qbmrS+h3Fmcy4iIiIiIiLSM41GgyeeeAIffPBBp3PCI6Px3if/ReygIQbMTLe6qxvwxWSi68rKyrBx40bIZNob/Dg5OeG2227rkw36qO9p35jL0tIScXFxRsqmdyopKcG6devQ2NjY6ZympiacP38e58+fh5OTEwYNGoS4uDjY2toaMFPqifbNudzc3IyUCREREREREfUHGo0Gf/vb3/Duu+92OicqKgpr167F8OHDDZiZbtXU1HQ65ufnx5oA0a9k5eXYumUzZOXlWmMOjo5YsWo1awJkEDnZ2YJjcwsLxLImICArL8PGn35EY2NDp3NaWpqReOUSEq9cgoOjEyKjYhAZHQNbO27A1FfI2230zbUEREREREREZAxszkUD3t13391pY67ps+bgmX+81C+a8VhaWXU6JpFIDJgJUe9UU1ON3du3orioUGvMysoas+cvhJ9/gBEyo4FILitHS0uzIBYaHmGkbHoflUqFPTu3IyMt5YbPUSqVyEhLQUZaCqytbRAZHYOomFg4OjnrMVMhjUaDkuIiZF3NQFbmVdTWVMPWzh6Ozm5w8/REcGg4LC07//d6IJLLhcU0sVgCB0cnI2VDREREREREA8XevXs7bczl5OyCPz/+JO5+4OE+vaEH0F3dgI3NiTQaDc6fP499+/ZBqVRqjcfFxWHOnDlchEMGk5+fLzgODQ2FqampkbLpfQoKCvDDDz+gubm5+8m/qqiowKFDhxAfH4+goCAMGjQIYWFhBv19bWpqQkZGBtLS0nDt2jUAgIeHB7y9vREYGIiAgAAujm2n/fsd7u7uRsqEiIiIiIiI+oNDhw512pjLyckJzzzzDB5//PE+/xzQ2tq60zGuJSC6XhO4fOkSDu7fB4VCoTUeFR2NWXPm9vmvBdR3FBYIawLBISF9vj6tSyXFRdi84Sc0Nzfd8DlVlRU4cewITh5PgK9fAKJiYhEcaviaQG5WJjKvZqAg7xo0Gg3cPDzg4ekFHz9/+PmzJtBe+2aJrtywg4iIiIiIiIyAzblowCvvYEeLKdNn4sm/P49BQ4YZISP9sOqi2YesvKzTMaKB4Gp6Gvbv2aXVDAkA/AOCMHvegi4XqhHpWvsmcXb2DrDhju0ArjfZ2rl1M7KzrgriYrEYUdGx8PbxRUlxEdLTUjstttXX1+Hs6ZM4e/okwiOjMX3WHL0UK5VKJcpLS1FcVIjiokIUFRZo7cxTVVmB8nIZ0lOTcTLhMIaPHodBQ4fzZZdfVchkgmNHJyf+3hAREREREZHedVQ3cHB0wsOPPYG77nuw3zwr7OpzyDv4PSAaSJqamrB9+3akpaVpjZmZmWHu3LmI4+7kZGAFBQWCYz8/PyNl0vvk5uZi/fr1aG1tFcRdXV0RExMDCwsLJCcnIy8vr8PzNRoNsrKykJWVBSsrKyxcuBChoaF6ybWurg75+fkoKChAQUEBSkpKoFarBXOuXbuGa9eu4fjx4/Dz88Ps2bPZgOpXGo0GZWXC9xvcuBCHiIiIiIiIeqCjmoCjoyOefvppPPLII7CxsTFCVrrXVXOuzjY6JxoompubsWfXTqSlpmqNmZqaYubs2YiJjWPDHDKowkLhegJfX9YEflOQn4etv/yMVoWwJuDk5IyIqBhYSC2QkZaKgvzOawJ513KQdy0HUqklZs6Zh6AQ/dQE6uvq2tYRFBcVorysVKsmUJCfh4L8PJw9fRKeXt6YMn0m3Nw99JJPX9R+zaOzi6uRMiEiIiIiIqKBjM25aMAbNGiQ4KFldGwcvtuwxYgZ6UfXi2zYnIsGJoVCgaPxB3H50gWtMbFYjPETp2DoiJEspJHBqVQqwbGpCb9lA4CWlhZs3/wL8vOuCeImJiaYt3BJW1EsMiYWk6bNQG52FlKTk5CTnan1e/qb9NRkVFVWYPGylbDq4uWTm9Hc3IyE+ANIT02BUqm84fMUCgVOHj2MtOREjJ88FX4BQTrJpy+Ty4QvPrGYRkRERERERIYwaNAgrdjm3QcQEhZu+GT0yMqy82chFXIZVCoVm2TTgFRQUICNGzeipqZGa8zDwwPLli2Dk5OTETKjgU6rdmDAndx7s/T0dGzcuFHreXxAQABWr17dtjnH8OHDUVVVhaSkJFy5cgUVFRUdXq+hoQHr16/HnDlzMHz4cJ3lefXqVRw4cACydptSdCcvLw+ff/45hg0bhilTpkAqleosp76ooaEBDQ3CjVDYnIuIiIiIiIh6oqMm/IcPH0ZsbKwRstGfrppzVVRUQKFQ8HkTDUhFhYXYtnULqquqtMZc3dywaMlSODs7GyEzGui0awJcTwAAOVmZ2LF1k1ZNwNvHF4uWrYS5uTkAIG7wUNTUVCM9JQUpyYmoquy4JtDU1Ihtm3/BpKnTMWTYCJ3lmZuTjaPxByGX31xNoLioED98+w1i4wZj7IRJkFpa6iynvqipsRH19XWCmIsr1xMQERERERGR4fHJDA14EyZMwM6dO9uOs7MyUVJcBA9PLyNmpXuWVl0vsiEaaCrkMuzatgUymfaOV3b2Dpi7YFG/+zpAfYe7u6fgWC6XoaG+XmfNo/qipsZGbP7lJ5SWFAvipiamWLhsBfz8AwRxiUSC4NAwBIeGoamxEelpKUhJSkRZaYnWtctKS7B+3f+wePlKODm79CjPygo5tm36BZWdFPBuRFVlBbZv2oDA4BCMmzQVdvYOPcqpL2vfQNSJzbmIiIiIiIjIAKKjo2Fvb4/q6uq22Ldff4HX3nrPeEnpQVebeqjValRXVfb4WQlRX6JWq3HixAkcPnxYa8dqABg1ahSmTZsGE26mQEbi6emJzMzMtuPc3FxER0cbMSPju3LlCrZt26b1dzY0NBQrVqzQ+vvq4OCACRMmYPz48SgsLMTly5eRnJyMlpYWwTyNRoNdu3ahqqoK06dP79FGPhqNBseOHUN8fHyPrnHu3DmkpKRgypQpGDJkCMRi8S1fry8rLS0VHJuamsLBYeDWUYiIiIiIiKjnIiIi4OTkJGjk/dlnn+Gzzz4zYla611VzLgAoLy+Hlxffm6aBQ6PR4PSpU0g4HN9hTWDo8OGYOm06awJkNB4eHsis+70p0bVr1xAd078aR96stJRk7N21XevvrH9AEBYsWabVZNLOzh4jx4zFiNFjUFJUhJSkK8hIS0VLq3ZN4PDB/aiprsbEKdN69Pxdo9Hg7KmTOHHsCDQazS1f48rli8hIT8PYCRMRO2jg1gTar/cyMTGBgyM3USIiIiIiIiLD41NCGvAWLFiAZ599tu2hV1NjIx68cxU2bNoCN3d3o+RUWtnQ/aSbZGpu0elYSUkJ6hpbteK2UwN1nsetsJFyFx7SHY1Gg+TEyzh8YD8USoXWeFhEFKbNnA0Li87/zhDpm5uHB8xMzdCq+P1r89EjhzBi1JgBuSCyrrYWm37+ERUVckHc3Mwci5evgpePT5fnSy0tMXjocAweOhyy8jKkJich6cpltLQ0t82pqanGD//7BgFBwQgKDkFwWDjMzMxuKs+c7Czs3rZFq2DXnqOjE0LDI+Dt64eqygpkZmUj+2qG9vWyMpGXm4shI0Zi6IjRA25XOrVajQq58P9z7nRDRESkGx09A+hLmlqU3U8iIiLqAYlEgoULF+Lbb79ti3339ReIjY7E/Q8+ZLS8Gpq1n2f2RFfNuQBAVl7W4bMo9/F+Os3jVtlY3tyzGzIMa/O++Qyrrq4OW7ZsQU5OjtaYVCrFokWLEBYWZoTMiH4XEBAgaM6Vnp4OX19fREZGDrjnxwBw9uxZ7N69WyseFRWFJUuWQCKRdHquSCSCj48PfHx8MGvWLKSnp+PChQu4du2aYN7JkyeRmZmJ8PBwREZGwsPD46ZybG1txdatW5GamtrlPBMTEwQHByMiIgIWFhYoLCxEUlKSoFEoADQ2NmLnzp24cOEC5syZA59u6iP9UVmZcFMPNze3AbsoiYiISJdqmnrHc3c7KV9pJiIiwxOLxVi8eDG++uqrttjnn3+OiIgIPPbYY0bMTLe6a85VWlrK5lw0YNTX12PHtq3I7aAmYCGVYu78+QgLCzdCZkS/8w8IRObVq23HmVevIvHKZURERg3ImsCVSxdwaP9erYZXIaHhmLNgUZeN9EQiETy9veHp7Y1J02Yg62oGkhMvIz/vmmDexfNnkZebg6CQUISEhcPdw7PjC3ZCoVBg3+6dyEhL6XKeiYkJ/AOCEBIaBnMLC5SWFCMtNQU11VWCec3NTTi0fy+SLl/C5Gkz4e3re1P59AeydjUBJ2cX1gSIiIiIiIjIKFjJpgEvLCwM9913H7788su22MULFzB5/Dhs3LoVkVH9Y7dhqWXnBbVKucyAmRAZT3NzMw7u29Phw25TE1NMnj4D0bGDerT7NZEuSCQSePv6ISf790U2qclJSE1OgqeXN2LiBiEkLALm5uZGzNIwcnOysXfndjQ2ChtXWlpaYcmKVXBzv7mFMC6ubpg4xQ0xcYOw+ZefBUUshVKBqxlpuJqRBpujRzBv0RJ4enl3e02lUolL58/hWEJ8hzvcODu7wNPLG17ePvDw9oaDg2PbmJ9/AEIi41BWUoyEQ/tRVloiOFelUuLcqRNIT07CuElTERQaNmC+RlVXVUGlEr4A7OTC5lxERERERERkGC+99BJ+/vlnNDdfb+6tVqvx5OOPITs7G6//+40uG370FVLLrptzVbTbhZaov8rKysKWLVvQ0KC9eY6fnx+WLl0KW1tbI2RGJBQYKNxYqaGhAVu2bMGePXsQExODwYMHw8PDo98/Q25tbcXu3btx+fJlrbEhQ4Zg3rx5N7Uww9TUFDExMYiOjkZCQgKOHDkiGJfJZJDJZDh27BiGDh2K2bNnd7nI5zcVFRXYsGGDVjMpALCwsIC3tzd8fX3h4+MDLy8vwYYhYWFhmDBhAk6ePInjx49DoRA26CwpKcHXX3+NuLg4TJs2DTY2Njf8efu6jppzEREREREREfXUP//5T/z4449obGwEcH0j4McffxxZWVl4//33+0VNwNLSssvxjp5hEPVHOdnZ2LF9Gxrq67XGvH18sXDxYtjZ2RkhMyIhf39/wXFTYyN2bt+O/fv2ISo6GoMGDYb7AKkJHDm4H0mJl7XGomJiMWP2zdcEIqKiER4ZhTMnT+DEsSOC8YoKOSoq5Dh7+iSiY+MwdcaN1QSqqiqxa+tmlJWVao2Zm5nDw+t6czBPL294eAprAkEhoRg5ZhwunD2DMyePQ6EU1gTKy8vw84/fITwyGhMmTYHNAKpbymTC70+40TcREREREREZC5tzEQF47bXXsH37dkFRqaAgH9MnT8J3P6zH1OnTjZecjlh2schGzgU2NACUFBdh1/atWrtJAICLiyvmLlwMJ2cXI2RG1LHA4GBBc67fFBcVorioEPH79yEwJBQRkVHwDwzq8y9/qNVqZKSlouDXHWgkEglaWluQlpKsNdfW1g5LV66Go5PzLd/P0ckZt625C1s3bUBJcZHWeF1dLTb8uA6Tp81AQGAwRCJR23/NzU0oKylBSUkxSkuKISsvg0ql0rqGq6sbFixdDjs7+27zcfPwxPLb/4S05EScPHYETb++5PPHfPbs2AJvXz9MmDJ9QHy9krcrpllaWXX5/QwRERERERGRLvn7++OFF17A888/L4h/8uEHyM3JxjffroOVVd/+OdXMzAymZmZQtLZ2OC4rZ+2A+jeVSoVDhw7h5MmTWmMikQgTJ07EhAkTuPsy9Rpubm6ws7NDTU2NIN7c3Ixz587h3LlzcHZ2RmxsLKKjo+Ho6NjJlfqOyspKJCYmorq6GhKJBCYmJsjKykJFRYXW3DFjxmD69Om3vBBJJBJh0qRJsLe3x/bt26FWq7XmXLhwAWVlZViwYAEsLCza6gYajQZyuRxFRUVt/9XW1nZ4j+nTp2P06NHd5mlqaoqJEyciLi4O+/fvR2pqqtacK1euID09HRMnTsTIkSP7fK3oRpSWChc2sTkXERERERER6YK3tzdeeuklPPPMM4L4Rx99hNzcXKxfvx7W1p1vlN0XiMViWFlZdbhJAaD9MzdRf6NSqXD0yBGcPnVSayNekUiEsePGYxxrAtSLOLu4wN7BAdVVwvUvrS0tuHThAi5duAAnZ2dERUUjsp/UBKqqKpGWkozammpIxBJITEyQl5uDykrtmsDgocMxedqMHtUERo0dB1s7O+zfs7PDtQDJiVcgl8kwc848mJsLawKVlRUoLb6+lqC0pBh1dR3XBMZNmIxhI0d1+7XFxMQEI8eMRURUNI4eiUdGWorWnPTUZORkXsXIMeMwZPiIG2oa1tfJ272z4OzCmgAREREREREZR///KZzoBri6uuLIkSOYPXsOrl3LbYvX1tZi6aIFePc/H+Ce++7vMzsKqNXqtod+v5F2sUioUi4zRFpERqHRaHD+zGkcP3q4w5foBw0eiglTpsHU1NQI2RF1LiomDgX5+R0WVgBAoVQgIy0FGWkpsLCQYvCw4Rg5emyPF14oFAooFQpYSKUG+3evskKOvbt2dNgkqz0HRycsW3kbbHWwK5WllRWWr74D8Qf2IiUpUavYrlKpcHDfnlu6dlhEFGbOmXdTX1tEIhEiY+IQFBKGMyePI/HyBWjafd0qzM/D+u++QdzgoRg9flK/LqpVyFhMIyIiIiIiIuP6v//7P7S0tOCVV14RxHfv3IlZ06bgp182wcvb20jZ3Ty1Wq310q+VlTWqWys7nF8hZ3Mu6r8qKyuxadMmFBVpP5O0tbXF0qVL4efnZ4TMiDonEomwaNEibNq0CfX19R3OkcvliI+PR3x8PHx9fTF79mx4eHj06L4ajQZNTU0wNTU1WD1NrVbjzJkzOHToEJRKZbfzp0yZgvHjx+ukrjFo0CDY2dlh27ZtqK6u1hovLCzEp59+etPXtbCwwLJlyxAcHHxT59nb22PFihXIycnBnj17IJMJa/stLS3Yv38/Ll68iAULFsDX1/emc+srlEol5HK5IObu7m6kbIiIiIiIiKi/efrpp9Hc3IwXX3xREN+5cyfGjx+Pbdu29amfuzuqCVhbW3fanOuPm5wT9TdVVVXYtmULiosKtcasbWywYOEi+AcEGCEzos6JRCLMm78AW7dsRn1dXYdzKuRyHE04gqMJR+Dp5Y0ZM2fC08urR/fVaDRobmqCiQFrAhqNBhfPn8OJhMNQKBXdzh89bgJGj9VNTSAyOgY2trbYt3snaqqrtMZLS4rx7ddf3PR1zc0tMGfBIgQG3VxNwNbODvMWLkbsoME4fGAf5O3W+7UqWnEsIR7JSVcwfdYc+Pj233qmWq1GRYWwJuDKDTuIiIiIiIjISPrvan6imxQeHo74o8ewasUynD19ui2uUqnw10cfwVtv/Btz583H3HnzMX7iRJiZmRkx287t3Pwz/vv+G2hubsLjz/4T85etBgBYWnbenKu+rhYtLc0wN7cwVJpEBlFfV4e9u3Yg71qO1pi5uQVmzpmHkLBwI2RG1D0TExPMW7gYY8dPQHLiFaQkJaKhoePFNs3NTTh1/Chqqqswa+6Cmy40qVQqJF25hIy0VJQUF0GlUsHW1g5hEZEIj4yCi6ubXhp1qdVqXDp/DsePHr6hxTWBQSGYNXc+pJaWOsvB1NQUM+fMx7gJk5Gbk4WkK5c7LL7fKJFIhLHjJ2HE6DG3/HtmbmGBCVOmISo2DkfjD6AwP08wrlGrcfnCOdTWVGP2giX9dpcuebsFRs4uLkbKhIiIiIiIiAYqkUiEl19+GV6+fnjk4YegUPz+IvDlS5cQFRaCsePGY+7867UDP39/4yXbhUq5HK88/zQO7duNuMHD8PE338Pe4frOyVZW1qiu6rg5l7ycC3Gof0pMTMTOnTvR2tqqNRYWFoaFCxfCUofPIIl0KSAgAE888QQyMjJw8eJFZGdna2088Zv8/HysXbsWd9999y016JLJZDh9+jQyMzNRW1sLsViMwMBAxMTEIDw8HObm5j39OB2qrKzE1q1bkZ+f3+1cc3NzzJs3DzExMTrNISAgAI899hgKCwuRkZGBs2fPCr4PuFkuLi5YtWoVnJycbvkagYGBeOihh3Du3DkcPnwYLS0tgnG5XI5vv/0Wa9asgX8v/Z6kp+RyudZmTK6urkbKhoiIiIiIiPobkUiEF154AUFBQbj77rsFzw8vX76MwMBAjBs3DosWLcLChQsR0Esb+cjlcjz66KPYsmULhg8fji1btsDZ2RnA9eZcnTXhKi0tNWSaRAaTkpyEPbt3o7Xd8zQACAoOxrwFC2Fl1flaGyJj8vXzw18efQyZmVdx5dIl5HRREyguKsQP677D7WvuvKUGXZUVclw8dxa5Odmora2BWCyGr18AwiMjERyqv5pAdXUV9u/eiYJ278t3xMzUDFNnzkZktG5rAj6+frjngYdRWlyM7KyruHzhPFoV2nXEG+Xg6IRFS5fD0cn5lq/h6+ePNffcj8sXz+PksaNoaWkWjFdVVmDTzz9iyYrV8PXzv+X79GaVFXKtNSbOLqwJEBERERERkXGwORfRH7i4umLnnn146P57sXnjRsFYcVERvvz8v/jy8//C1tYWM2bOwtz58zF95izY2dkZKePfKVpb8e5r/8DGH9a2xV57/knMnL8EZubmkHbRnAsA8nKyEBoRre80iQwmJzsL+3btQGOj9g5Pnl7emLNgEezs7A2fGNFNcnB0wvhJUzBm/ETkZl9vHnUtN1tr8QEApCYnwcbGFuMmTr7h6+dkZ+HIoQOoqqwQxGtra3DuzCmcO3MKjo5OCI+KRnhkFBx+XbjZE40NDSgqLMDF82dRWND94hqJRIIJk6di8NDhemkSBgBW1taIjh2EyOhYHDsSj/NnT3d/Ujtubu4YO3EyAgKDdJKTk7MLFi1fjayr6ThxJB51dbWC8ZysTBw5uA+Tp8/S2++LMbVfAOzEYhoREREREREZyW13rIGvrx9uW7kcVVW/75arUqnadiJ+9umnEBMbi7nz5mPeggWIjRvUK35eT7p8EffdtgTVv+Z97vQJfPPZR3jyuX8CACy7WGyQm51lkByJDKWlpQW7d+/GlStXtMYkEglmzJiBESNG9Iq/u0RdkUgkiIyMRGRkJKqrq3H58mVcvnwZ1dXVWnNbW1vx/fff47777oODg8MNXb+pqQlHjhzBuXPnBLUItVqNrKwsZGVlwcTEBKGhoYiJiUFISAhMTHr26olarUZZWRkyMzNx7NixG2qE5enpiWXLlsHRsed1i46IxWL4+vrC19cXMTEx+PnnnwXfB9wIc3NzxMTEYPr06TpZuCSRSDBq1ChER0fj0KFDuHTpkmBcpVJh/fr1uOeee+DWD3ePb79I2N7eHhYW3ICMiIiIiIiIdOu2226Dr68vFi1ahIqK39+rVKlUSEhIQEJCAp544gnExsZi4cKFWLhwIYYMGdIrnitevHgRM2fOhFwuBwAcP34cb731Ft566y0A15tzdSYjI8MgORIZSmtrK/bt3YOkTmoCk6ZMxYiRI3vF312irkgkEoSHRyA8PAI1NTVIunIFiYlX2uq/f6RQKPDzT+tx51133/BmEc3NzTh1/CguXzyvVRO4lpuNa7nZMNm3BwGBwQiPjEJAUDBMTU179JnUajXksnLkZmfj7KkTN9QIy83NHXMXLoaD461vgtEVsVgMT29veHp7IyIqGts2b+x0k6vOmJuZIywiEuMnT9XJs2uxWIwhw0YgPCIKxxMOIznpiqA5m0qlwvZNv2DF7Wvg6ube4/v1NrLycsGxjY0tpFKpkbIhIiIiIiKigY7NuYjakUqlWPvd9wgICMS7b7/V4Zza2lps/GUDNv6yAaamppg4aTL+7x8vYMTIkQbO9rrm5iY8dvdKXDx7ShBXKZWorJDD3dOrywU2APDxW6/ig29+YnGB+jylUoljR+Jx8fxZrTGRSIQRo8ZgzPiJEIvFRsiO6NZJJBIEh4YhODQMjQ0NuJqRhvTUFBQVFgjmnTl1AvX1dQgKDoWbuwdUahWUCgUUCgWaGhtRXV2N6qpK1FRXo6qq8oaKRpWVFTh5LAEnjyXAzd0DoWERCAkL67K4pVar0djQgLq6WtTX1aGurhaVcjkKC/JRUSHv9DwHRycEBAZBpVRCpVbB2toG4ZFRcHJ2ufHfrB4Qi8WYOGUa3Nw9cPrEsU5ztbGxhbuH5/X/PD3h6uaulwUgIpEIIWER8AsIwoWzp3Dp3FmoVL/vAJOSeBmWVlYYMXpcv/q61tzUhPr6OkHMxbX/LSQiIiIiIiKivmPchAk4mHAUyxYuRG5uTodzkhITkZSYiDf+9Tp8fHxx2x134Mm/PQNLS0sDZ3td/P49ePyBP2ntBF5WWtL2665qB4cP7MX50ycxbNQYveVIZChFRUXYtGkTKiu1n4c6OTlh2bJl8PDwMEJmRD1jb2+PSZMmYeLEiSgoKEBSUhJSUlLQ2NjYNqehoQHffvstRowYgcDAQEilUih+rRu0tLSgpqYGlZWVqKqqQmVlJWQyGVra/dvRnlKpRGpqKlJTU2Fubo7w8HBEREQgKCioy0U5ra2tqK2tbfuvpqYGhYWFyM/P7/KeMTExkEqlUKlU0Gg08PPzQ3R0NCQSyc3/pt0Cd3d3PPDAA9i7dy9SU1M7bB4mkUjg7u4OLy+vtv+cnJz0Un+3trbGwoULMXToUOzZswdFRUVtYy0tLfj+++9x9913661xmbGUlQk39XB373+LjYiIiIiIiKh3GDduHE6dOoW5c+ciMzOzwzmJiYlITEzEq6++Ch8fH6xZswbPPfccrLp5Z19fdu/ejaVLl6K5uVkQLywsbPt1V8259u3bh8OHD2Py5BvfHJaotyotKcHWLZtRWVGhNebg6IhFi5fAw9PTCJkR9YydnR3GTZiAsePHo6iwECkpyUhLTUVjw+8b2jc1NmL9D99j6LDhCAgIgNTSEgqFAkqFAq2trSgqq0B1ze/rCSpkMrS0dl8TyLyajsyr6TA3M0dgSAhCQsPhH9h9TaC+rhZ1dXVoqKtDbW0tSoqLUFRYgJaW5k7PC4+MhoWFBdQqFdQaNbx9fBEWEdXjjUJulLOLK267824kxB/A1bQ0KJQd1wRcXN3g7u4Bd8/rawocnZz1UhOwtLLCjDnzEDNoMOIP7ENpSXHbWEtrCzZv+Akrb1+jt8ZlxiKXCZtzcS0BERERERERGRObcxF1QCwW46VXX0NMbCxee+VlZHVSVAOu7yxw8MB+HDkcj/99/wMWLlpswEyv+/rjd7Uac/3G2cUVAGBp2XWh7+TReCQc2INJM+boPD8iQ6mskGPXti0oLy/TGrO2tsHs+Qvh6+dv+MSIdMzSygqDhgzDoCHDkJOViW2bfxHsVJOSlIiUpES93LustARlpSU4lhAPFxdXBIeFIyQ0DBKJBKXFxSj9dby8rBRKpbL7C/7BkGEjMG7i5B7vpqML4ZFRCIuIhEKhgEajafsPGg1EYrHBd2I3MzPD6HET4esXgG0bfxY06Dp36gQunTsDRydnODm7wNvPHyFhEQZblKQPcrmwmCYWS2Dv0L8WEREREREREVHfExoahkNHj+H5vz+LLZs2ai1w+aOCgny8+e9/IeHIEWzath22trYGzBSorqrEM48+qNWYCwDcPX5fbNDdxh4vP/c0tuw/arAXnYl0TaPR4OTJkzh06JDgGepvBg8ejNmzZ8PMzMwI2RHpjkgkgq+vL3x9fTFz5kz88MMPyM3NbRuvrq7G/v379XLvlpYWXLlyBVeuXIGZmRlCQkIQEREBPz8/yOVyFBcXo6ioCMXFxaiurr6pazs4OGDhwoXw9/fXS+43QyqVYvHixViwYAFUKhXUarWgfmBhYWHw5/Le3t6499578csvvyAtLa0tXldXhw8//BB2dnZwdXWFu7s74uLi4OzsbND8dK19cy43Ny7EISIiIiIiIv0JCQnBqVOn8PTTT+Pnn39GU1NTp3MLCgrwr3/9C4cPH8aePXtgZ2dnwEyvP/u54447OqxbeHt7t/26q+ZcAPDII4/g8uXLveIdTqJbodFocPbMGRyJPwSVSqU1Hh0bi5mzZsPc3NwI2RHpjkgkgrePD7x9fDBt+gxs+Gk9cnN+32CqtqYGhw8dxOEOzm1WatfLbkZLawvSUpKRlpIMUxNTBAQFIzg0DD6+fqiqqkRpcTHKSktQWlKMmprqm7q2nZ09ZsyZ1yvW/EilUsyauwDTZ81t2zhErVYDv9YEzI1QE/Dw9MLqNXdh17YtuJrxe02goaEe33zxGWxsbOHs4gpXNzdEREUbbHN0fSlvVxNwcXU1UiZEREREREREbM5F1KWly1dgybLlyMhIx87t27Fr5w6cP3u2w7lKpRJ/uv02fP2/b7F0+QqD5VheWoIf137R4ZibuydMfi2OSTtYYOPi5g5ZWWnb8TuvPo9R4yfBQmqpn2SJ9ESj0SAl6Qri9+/rcFeKoOBQzJwzD1JL/tmm/icwOATTZs7G/j27enwtdw9PjBw9FlKpJbKzriIjLRW1tTWdzpfJyiGTlePU8aM9uq+dvQNmzpkHH1+/Hl1H10QiUa9blOfl44uZcxdgz44t15uF/UqpVKK8rBTlZaVIS0nChbOnMGHKdPj4+hsv2R6Qlwubczk6OfXpZmNERERERETUf7i4uOCLr7/B+x9+hPhDB7Frxw7s2b2rw523AeD0qZNYOG8OtmzfCXt7e4Pl+flH76Guk+c67p5ebb+2tBQuxHF0ckZlhbzt+GpaCn7831e4876H9JMokR7V19djy5YtyM7O1hozNzfH/PnzER0dbYTMiPTLxMQEK1euxNq1a7WaGd3KtUaPHo3w8HBUVFQgOTkZWVlZHTa7A4DW1lakpKQgJSWlR/cFgOHDh2P69Om97jm9RCLpVc+rxWIxlixZgnXr1iE/P18wVlNTg5qaGmRmZuLEiRMYMWIEJk2aZPANSHRBo9GgtLRUEGNzLiIiIiIiItI3JycnrF27Fp988gkOHjyIrVu3YseOHZDL5R3OP3XqFKZNm4b9+/fDwcHBYHm++eabqKqq6nDM19e37dftm3M5OzsLPktqaio+/PBDPPXUU/pJlEiP6uvrsXP7NuR0UBMwMzfHrNmzER0Ta4TMiPRLIpFgybLl+OG771BaWtLjaw0ZNgIhYeGorqpCRloqruVmd9jsDgAUSgWuZqQJGkXdqti4wZgwZVqva57XG2sCs+cvRFNTIwry8wRjdXW1qKurRW5OFs6dOYW4wUMxZvzEPlkTAAC5TLiewNmFzbmIiIiIiIjIeNici6gbIpEI4eERCA+PwNPPPIuS4mLs2bULO3dsR8KRw2htbW2bq1KpcM+f7oRCocCq2243SH5ffvg2Wpo73onHzeP3BTZ/bODxm0efeREvPvXntuPS4kKs/ewDPPzk/+k+USI9aW5uxsF9e5CRpv2Sv4mJCSZMnopBQ4ZBJBIZITsiw4iJG4yW5hYcS4jvdEFMV6ytbTBu4iRERse2/V3x8vHB+ElTUFxYiPS0FFxNT0NjY4POcjY1MYWntw/8AwIRO3hIr1tc05sFhYZhwtTpSDi4v9M5lXI5tm5Yj6DQMAwdPgqu7h596utg+2KaiysX2BAREREREVHvYmVlhfkLFmL+goVQKpU4feoUdu7Yjt07diA3N0cw9/zZs1gwZxa27twNR0dHvedWXFiA77/peFMPAPD09mn7tQbC2sHilbfh+JF4ZKQmt8U+eOt1zF6wmD+fU5+SmZmJrVu3oqFB+5mmt7c3li5datDFcUSGZmFhgTvuuAPff//9LTfoioyMxPTp09v+rnh5eSE2NhaNjY1IS0tDcnIyrl271mEd+lY5OjrC398fgwYNEiwcpa6Zmppi9erVWLt2LcrbbX7xG7VajdOnTyMpKQkTJ05EbGxsn1qQU19fj8bGRkHM3d3dSNkQERERERHRQGNpaYkFCxZgwYIFUKlUOHnyJLZt24atW7dqbQ5w/vx5TJkyBQcOHICzs7PecysqKsJ//vOfTsd9fP5QE2j3HGfNmjU4cuQILl261BZ76aWXsHr1anh6euo8VyJ9ycnOxo7t29BQX6815uHphYWLFxukRkdkLObm5lixejV+Xv8jytptcnCjQkLDMWHKVNjbX68JeHh6ISIqGk1NTci6mo701BQU5OfptCZg7+AIbx8fREXHwZs1gRtmYmKCBUuWY8MP30Em67wmcOnCOaSnpmDU2HGIiIqBVCo1cKa3rrGhAfX1dYKYKzfsICIiIiIiIiNicy6im+Th6Yl77r8f99x/P2pra/GP//s71n79Vdu4Wq3GA/feg9ZWBe686y695nItOxPbN/7Y6bib5+/NuRIO7BGMubp7YPbCZdi24QdcOHOiLf7dlx9j7uIV8A0I0n3CRDpWXFiI3Tu2oqamWmvMyckZcxdywRgNHMNGjkJgcDCyrl5Ffl4uigoLoFQqAVxvNGkiMYGZuTns7O1h7+AAO3sH2Ns7wN7BAW7uHh3u6CISieDl4wMvHx9MnjYD+XnXkJWRjqzMq2ho0C5gd0QikcDa2gZW1tawsbGFm7sHvHx8Or0n3ZjYQUNhZmqG08ePoq6uttN52VczkH01A47OzoiMjkNYZBQsLa0MmOmtqWhXKHTiTjdERERERETUi5mYmGDc+PEYN348/v3mWzh39ixWLV8K2R+aY1y6eBHzZs3A9t179b4Y56N3/o3WlpZOxz28vAEADQ31OHX0iGDMx9cfL77+Nm5fPLstVl9Xi7dffRFvffS5XvIl0iWlUomDBw/i9OnTWmMikQjjx4/HxIkT+WySBgQbGxs88MADyMjIQE5ODrKzs1FVVdU2LpFIYGpqCmtrazg6OsLBwaHtf93c3GBnZ9fhdS0tLTF06FAMHToUdXV1SEtLQ2pqKvLybnxRjlQqhY2NDWxtbeHo6AhfX1/4+fnBxsZGJ599IJJKpVizZg3279+PlJSUTjdzaWhowO7du7F//35ERERg8ODBCAgI6PUbfLRvMmdmZsYmi0RERERERGQUEokE48ePx/jx4/H222/j3LlzWLhwIUr/0Azl8uXLmDJlCg4ePAhXV/2++/byyy+jubm50/HfGqA3NjZi/37hhqCBgYFYvnw5xowZ0xarr6/H008/jR9/7HyNAlFvoVKpcCQ+HmdOn9IaE4lEGDV6DCZMmsSaAA0I1tbWuPve+3D1agZyc3JwLTcXVZWVbeMSiQQmpqawNJNeX0fw63oCBwcHOLu4wraTmoBUKkVM3GDExA1GfV0dMq+mI+tqxk016rKwkMLa2hrWNrawt7eHp7cPvH18YWNrq5PPPhBZWFhg6crbkHD4IDLSUjutCTQ1NeLwwf04diQewaHhiIqJhZ9/768JtG86ZmJiAnsHNlkkIiIiIiIi42FzLqIesLW1xQcffwJzc3P899NP2uIajQZ/eegBKBUK3HP//Xq7/yfvvg6VStXpuLvn9QU2arUae7dvEoxNnb0AIpEIz7z0Bm6bPxmqXxu4KFpb8c4rz+GDb37SW95EPaVWq3H21EmcOnG0w4fIcYOGYOLU6TA1NTVCdkTG4+jkjBGjnTFi9BioVCq0trbC1NQUEomkxwUUsVgM/4BA+AcEYsqMWSgpKkLm1XRkZqSjtrYGAGBtbQN3D0+4uXvA3dMTLi6usLSy6vXFm74qPCoGYZHRaGxsQKVchgq5HGnJiZB3sANOpVyO40cO4cTRwwgIDMKQ4aPaFuL2Nmq1GhVyuSDm7OJipGyIiIiIiIiIbo5IJMKIkSOx58BBzJs1E6UlJW1jSYmJmDNjGnbu2ae3XV2vpqdi6y/ru5zj8evGHgf37EJTU2NbXCKRYPqc+XB2ccWi5asF19m28SesuP1PGDZqjNb1iHoLuVyOjRs3ChbB/cbGxgZLlixBQECAETIjMh6JRILIyEhERkYCAJqbm69v6GFiopMFaTY2NhgxYgRGjBiBhoYGZGRkIC0tDTk5OVCpVJBIJHBzc4OXlxc8PT3h6ekJR0dH1vD0xMbGBkuXLsWiRYsgl8tRXl6OgoICXLhwQeu9AqVSiaSkJCQlJcHe3h5DhgzBqFGjYGZmZqTsu9b+a7urqyvrT0RERERERGR0IpEII0aMQEJCAqZMmYKioqK2saSkJEyaNAmHDh2Ch4eHXu6fnp6Or7/+uss5vzXn2r59O+rrf9+UVSwWY8mSJfD09MQ999yDb775pm1s/fr1uP/++zF58mS95E2kCxUVFdi2ZQtKS4q1xqysrbFg4SIEBAYaITMi4xGLxQgPj0B4eASAjmsCNU3KW76+tY0NBg8djsFDh6OpsRFZmRnIzMhAfl5uW03A2cUV7r+uJXBz94C9A2sC+mJlbY058xdh5pz5qKqsgFwmQ3FRIZKuXGrb5P03SqUS6anJSE9Nhq2tHaLjBmHo8JG9tiYgL2+30bezC8RisZGyISIiIiIiImJzLqIeE4lEeOvd92BqZoaP/vO+YOzxR/+CVkUrHvrzX3R+36RL53F4364u57h5eAIALp8/jZKiAsHY3EXLAQBBoeFY/acH8P3Xn7aNnTwaj5QrFwEzHx1nTdRzdbW12LNzGwry87TGLCykmDF7LkLCwo2QGVHvIpFIIJVK9XJtsVgMLx8fePn4YOKUaairrYVYLIY1d7Q3OJFIBCsra1hZWcPHLwCxg4ciOfESTh8/ipYOdsPTqNXIycpEbnYWho4YhRFjxve6HcGqKyuhUgkLgs4u+lmwTERERERERKQvYWHh1xt0zZyJoqLCtnhaaipm/9qgy8PTU+f3fe/fr3S6Ky4AWNvYwsb2+q7H2zcKN+kYO3EKnF1cAQB/e+EVHNy7C/V1tW3jH7/3Bv63YbvOcybqKY1Gg8uXL2P37t1QKBRa42FhYVi4cCEsLS2NkB1R72JhYaG3a1tZWWHIkCEYMmQIWlpa0NDQAFtbW5iY8LUUQ/utKZqbmxtiYmIwatQo7Nu3DxkZGR3Or66uRnx8PK5cuYKlS5fCUw/fo/RUWVmZ4Njd3d1ImRARERERERFpCw0NbWvQlZ+f3xZPS0vDxIkTER8fD29v3W+m+dxzz3VZE5BKpXB0dAQArFu3TjA2derUtmcAb7zxBjZv3ozq6uq28ZdffpnNuahX0mg0SE5KxN49e6BobdUaDw4Jwdz5C2BlZWWE7Ih6F33WBKSWloiJG4yYuMFobW1FQ0M9bGxYEzCG35qiObu4IjwyCkOGj0DCoYPIyuy4JlBbW4OTxxKQmpyEOfMXtm3u1ZvIZMKagKsr1xIQERERERGRcbFlNJEOiEQivP7vN/D0M89qjf3tySfwYbumXT2l0Wjw0VuvCGJ29g6wsrYWxNw9rxfxdm/5RRAPDAlDWFRs2/H9j/0Nzu0eVF25eE6XKRPpRNbVDHz3zZcdNuby9vHFmrvvY2MuIgMTiUSwtbNjY65eQiwWI3bQUKy550GMHDMetnb2Hc7TaDQ4f+YUNq1fh9LiImg0GsMm2gW5XLjTjZW1NaRcOElERERERER9UHBwCPYePARfXz9B/GpGBmZPn4bCgoJOzrw150+fxOH9ewQx73b3/u3F2vKyUpw8dkQwtnDZqrZfO7u44rG/PScYv3z+XJeLfIiMobm5GZs2bcK2bdu0GnOZmJhg7ty5WLVqFRtzERmYubk5HB0duQinl3B0dMTq1atx5513IiIiotNNOyoqKvDVV1/h6NGjaGpqMnCWXWvfnMvNjQtxiIiIiIiIqHcJCgpCQkICAgICBPHMzExMnDgReXna7z73xOnTp7FlyxZBrP29fX19IRKJUFZWhn379gnG1qxZ0/ZrFxcXvPbaa1rXV6lUOs2ZqKdaWlqwfesW7Ni2Tasxl0QiwfSZs7B85So25iIyMDMzMzg4sCbQW9jbO2Dh0uVYvvoOhIZ1XhOorqrET99/i1MnjqGpsdHAWXZN1q4m4OzqaqRMiIiIiIiIiK5jcy4iHRGJRHjx5Vfw3D9e0Bp7/u/P4p233tTJfTQaDb748G1cPHtKEL/zgUe1Hoa5e3qhpaUZB/cId7Kfs2g5RCJR27GVtTXGTJwqmJOTma6TfIl0QaFQ4NC+Pdi2+Rc0NwtfBBeJRBgzfiKWr74DtnZ2RsqQiKh3kVpaYsSYcbjzvoewaMVqhEdGd1jwLCstwS8/fodvv/wMJxLiUV5WaoRshSpkwuZczi5cYENERERERER9l39AAPYcOIiAgEBBPDs7C7OnT0PetWs6uU9ebjaef+oRQczRyRmz5i8SxDy8rm/qsXPLL4JGW5ZW1pg6c45g7uwFiwXHTU2NKC7SbUMxop4oKCjAf//7XyQnJ2uNubi44P7778fw4cMFNTEiooEsMDAQK1euxJNPPolZs2Z12OBKrVYjPj4eb7/9Nn744QdcunQJLS0tRsj2d0qlEnK5XBBjcy4iIiIiIiLqjfz9/ZGQkICQkBBBPCcnBxMnTkROTo5O7pObm4u7775bEHNycsKqVasEMV9fXwDATz/9JGi0ZWlpicWLhTWAFStWCI5bWlp0li+RLhQVFuLrL79ASgc1ASdnZ9x1z70YPmIEawJERL/y9fPH/MVL8eBfHsfkaTPg6tpxTeDksQT89+P/YNPP65GceNnoNQGVSoWKCmFNwKWD3ImIiIiIiIgMic25iHRIJBLh//7xAl58+RWtsZdffAH/fu1VaDSaW75+c3MT/vHEQ/jyw7cFcXdPb0yaMUdrx/pr2Vl45E/LUV9XK4jPWrBU69qBwWGC49zMq7ecJ5GuqFQqZGdexY/ffoPLly5ojdva2mHlbXdi9NjxEIv5TxoRUXsikQg+vv6YPmc+7nnoUYweNxFisfbuN3W1Nbh47gx+XrcWCYf29+j7lZ6SlbdvzuVipEyIiIiIiIiIdMPXzw97Dx5CcLvFONeu5WL29GnIyc7u0fXPnjyOFXOn4lqO8Dp/efJZ1FZXC2JSS0t89M6/8en7wjrDzLkLILW0FMRcXN20NkTIvprRo1yJdKG6uhoHDx7E2rVrUd3uzzgADBs2DA888AAbtxARdcLKygqjRo3CQw89hPvvvx9eXl5ac9RqNTIzM7Ft2zZ88sknKC4uNkKm18lkMq13Ifg1noiIiIiIiHorHx8fHDlyBOHh4YJ4Xl4eJk6ciMzMzB5d//jx4xgxYgTS04UbcT///POoqakRxKytrfHKK6/gpZdeEsQXL14Ma2trQczFxQXOzs6CWGpqao9yJdKFmpoaJBw+jHXf/g/VVVVa44OGDMHd994HN3d3I2RHRNT7SS0tMWTYCKy5537ccde98PDsuCZwLTcb+3bvxP++/C9KiouMkOl1VZUVgqaiAODs4mqkbIiIiIiIiIiuYycTIj3427N/x+tvvKkV/9drr+KVf754Sw0v5LIyPHT7YuzbsVlr7LFnX0RVu67wAPCPJx7EpXOnBbGhI8fC3dNba25AcKjgODsz3aiNOWjg0mg0KC4qxKH9e/H5xx9g66YNkMtlWvNCwyJwx933wcvHxwhZEhH1PeYWFhg2agyW3bYG9g6Onc5LvHQBxw4fMtr3ARUyYXMuJxbTiIiIiIiIqB/w9PLCnv0HEdZuMU5BQT5mz5iGzFvcMGPTT9/jnlWLtBYjBIeGY8Udd2m9NLtv5zZ8/O4bqKsVLtBZuGyl1rVFIhGCQoX5Zmak3VKeRD3V3NyMixcvYu3atfjPf/6D48ePazVqkUqlWLlyJebNmwdTU1MjZUpE1HeIRCJ4eXnhnnvuwfjx4yESiTqcV1tbi++//x5yufY7CYZQVlYmOHZwcIC5ublRciEiIiIiIiK6EZ6enjhy5AiioqIE8cLCQkycOBFpabf2rH3dunWYOnWq1s/oYWFhePjhh1FQUCCIb9myBf/85z+1NjlYs2ZNh9ePjIwUHKekpNxSnkQ91dLSgiuXL+H7777DJx9+gBPHj2nVBMwtLLBk2TLMmTsPZmZmRsqUiKhvcXP3wKo7/oRRYzuvCdTX12Hzhp8gb/dOv6GUt6sJ2NraQSqVGiUXIiIiIiIiot+YGDsBov7qsb8+ATMzM/ztyScE8XfeehOtCgVe+9e/O32Q1V5megr+et/tKCsRLqIRi8V48vlXMWPeYuTlZt/QtZavuafDeGBImOC4ob4O1RVlcHDmDiJkGNXVVUhLSUZaSjKqKis6nWdqYorJ02cgOnbQDf8dIiKi37m5e2Dlmrtx+fxZpKcmo6ZaeyexKxfPQSqVYvjosQbNramxEfX1dYKYi4ubQXMgIiIiIiIi0hd3Dw/s2X8Q8+fMQkpyclu8uKgIs6dPw869+xAeHnFD11KpVHj3Xy/h608/1BoLjYjC59/9DDMzMzg6OXdwtlBQSBhGjBnf4VhIaDgunTvTdpyVkY64qTeUIlGPqVQqZGVlITExERkZGVAqlZ3O9fPzw5IlS2BnZ2fADImI+geJRIKpU6ciNDQUJ06cQFZWltbX3MbGRnz33Xe49957Df61tn1zLjc31g2IiIiIiIio93Nzc8Phw4cxffp0XLlypS1eUlKCSZMm4dChQ4iOjr6ha6nVavzjH//Av//9b62xqKgo7Ny5ExYWFnBxcen2WqGhoZg6teMH/VFRUTh69GjbMZtzkSGpVCrk5GQjJSkJV7upCXj7+GLBokWwt7c3XIJERP2EWCzG2PETERAYhPNnTiM3R7sm0NzchE0/r8fKO+6Evb2DQfNr3xTMmRt9ExERERERUS/A5lxEevTQn/8CU1NT/PXRRwTxD99/D4rWVrz5zrvdNhc6emgfnv/rA2hqbBTErayt8a8PvsTYSdMAAL7+gVix5l5sWPd1h9dxcXPHA489g6mz5nc4npOZoRUTiSVd5kbUU01NTcjMSENqchKKCgu6ne/q6oY5CxbBybn74jEREXXOzMwMI8aMw/DRYyGXlSMzPRUXz5+F5g87i50+cRT5ebmIGTQEQSFhkEj0/32BXC4spkkkJrB3dNT7fYmIiIiIiIgMxcXVFTv37sfCubOR+IfFOGWlpdcbdO3Zi6jomC6v0dBQj7/95QEc2rdLa2zy9Fl459OvYG1tAwB48NEncfLoYcjKy7TmAsDUmXPx/KtvdPpzf9ZVYe1AJBZ3mRtRT2k0GhQXF+PKlStITk5GY7v6WHsikQiTJk3C+PHjIeafTyKiHvHx8cGqVavQ0tKCq1ev4vTp0ygq+n0DsdraWnz22WcYPHgwhg8fDkcDPb8vLS0VHLu7c4MxIiIiIiIi6htcXFwQHx+PGTNm4MKFC23x8vJyTJo0CQcPHsSgQYO6vEZDQwPuvPNObN68WWtszpw5WL9+PWxtbQEAzz77LPbu3Yvi4uIOrzV//nx88MEHMDHpeBlRamqq4NgQ7wzSwKbRaFBaUoKkpESkpqSgsaGhy/kikQhjx43HuAkTWBMgIuohTy9vLFiyDK2trcjJysSlC+dQXFTYNl5fX4fvv/kKUbFxGDRkKBwcnQySl6xcuJ7AlRt2EBERERERUS/A5lxEenbv/Q/A1NQMjzz8IDQaTVv8s08+Rk5ODt56510EBgV1eO7GH/+HN198RnAeAHh6++L9L39AUGh4W0wkEuGZl97AxOmz8fFbryIt+fqiHm9ff9z10GOYs2gFzMzNO83z288/FBz7BQbDzsH5pj8vUXdUKhWu5WQjNTkJOdmZXe5q8xtPL29ExcQiMjq204IwERHdPJFIBBdXN7i4usHR2QUHdu8QjBcXFqC4sACWVlaIih2EwOBQuLi6ddtc9FZVyGSCY0cnJ75AQURERERERP2Os7Mzdu7dj8Xz5+LC+fNtcblMhlnTpuKfr7yKu++9r8NFL9VVlbhrxQKkJSdpjd3z8KN4+vmXBecFhYZh99Gz+OqTD/Dtl5+hubkJEokEcxctw/2P/BWh4ZGd5nn+zClcPHdaEBs5etytfGSiblVXVyMxMRGJiYmQy+XdzrewsEB0dDSGDRvGJi1ERDpmbm6OmJgYhIWF4dtvvxU06GpubsapU6dw6tQpBAcHY9CgQQgMDISlpaVectFoNCgrEzYZdeNCHCIiIiIiIupDHB0dcfDgQcyaNQtnzpxpi1dUVGDixIl4/fXX8dBDD3X4fnR1dTWmTZsmaOz1m7/+9a945513BDWB0NBQpKam4u2338b777+PxsZGiMVirFq1Cn//+98RE9P55iCnTp1CQkKCIDZp0qRb+MRE3auurkZKcjKSkxJRcQM1AXMLC0RERmLIkKFw9/AwQIZERAOHmZkZwiOjEBgcgk0//yho0NXS2oKL58/i4vmz8PMPRHRsHPz8AyDVU00AgNbGY84urnq7FxEREREREdGNYocTIgO48667YGZmigfvuxdqtbotvm/PbhyJP4TH/voEnnrmWVhZWbWN1VRX4Z1XntNqzBU3dATe+exbODh13Dhr5NiJGL5lPFITL0GpVCB60LBumxlduXAWF8+eEsT+9OCjemu8QQOPRqNBSXER0pKTkJGehqamrne6BwB7B0dEREUjIioaDg6G2XWZiGggC4+MRmtLCxIO7dcaa2xowLlTJ3Du1AlYSKXw9vVDQFAIQsMjddo8Sy4T7nTj7MoFNkRERERERNQ/OTg4YNuuPViycD7Onv69AVZ1dTWeeOxRfPPVl3j7vf9g7DhhM6yvPv1AqzGXiYkJXnrzfSy/7c4O72VrZ48nn/sn7n7oUSRdvoiwiEi4eXh2m+OXH78vOPbw9MbcxctwOaf6Bj8lUdeam5uRkpKCxMRE5OXldTtfIpEgJCQEcXFxCAkJ4WYeRER6ZmZmhttvvx1r166FrN3mGgCQlZWFrKwsiEQiuLu7IzAwEEOGDIGTk5POcqivr0djo7C2zOZcRERERERE1NfY29tj//79mDNnDk6cONEWr62txaOPPoovv/wSH374ISZOnCg4791339VqzCWRSPDJJ5/gwQcf7PBednZ2eO211/DEE0/g3LlziI6Ohre3d7c5vvnmm4JjLy8v3H777Tf6EYm61dzcjPS0NCQnJSE/71q388ViMYKCgxETG4vgkFDWBIiI9MzMzAyLlq3ELz+ug6zdO/0AkHctB3nXcgAAbm7u8PUPQHRsHBw7Wd94KxobGtDQUC+IubiyORcREREREREZH59OEhnIqttuh4mJCe67+y6oVKq2eEtLC95+8w388P06PPjwn7HmT3cBMEPSpXNQKhSCa8xZtAL/+Nd7MDM3B3C9gdf2X37Evh2bISsvhbWNLaxtbGFjawtbOwcMHz0eUbFDus3t2y8+Ehy7untg9oJlSMqq7unHpgGuqqoS6akpSEtJRlVlRbfzLSykCAuPQGR0LDy8vNggjojIwGIHD4WpqSlOHjuCxoaGDuc0NzUhKyMdWRnpKC4swJQZs3V2fzl3uiEiIiIiIqIBxM7ODlt37MLShQtw6uQJwVhSYiJmTZuCOfPm4aGH/4KJkycDAM6dEs4zMTHBNz9vxcgx4wFc3yjhwtnTWP/tV7hw5jTEYjGsbW1ha2sHa1tb+Pj6w9XdvdvmXOmpyThycJ8gds/Dj8LU1LSnH5sGOJVKhczMTCQmJuLq1atQKpXdnuPt7Y24uDhERUXBUo+7MBMRkTZLS0v86U9/wq5du5Cenq61uRjw60ZNJSUoKSnB+fPnce+998JVR4tlSktLBcdmZmZwcHDQybWJiIiIiIiIDMnW1hZ79+7FvHnzkJCQIBhLTEzEpEmTMH/+fDzyyCOYNm0axGIxjhw5IpgnFouxb98+TJ06FcD1n8lPnTqFTz75BMePHwdwvRGYnZ0d7O3tERAQAHd3926bc6WmpmLbtm2C2JNPPgnzX9csEN0qlUqF7OwspCQlIfMGawKeXt6IjolBJGsCREQGJ5VKsWzV7Ti0fy8yr3ZcEwCAsrJSlJWV4srFC1h5x51wdXPXyf3bNwUzNTGFvYOjTq5NRERERERE1BNszkVkQMtWrISVtTX+8tCDkJULHxgVFxXhn/94Hq+/8jKmzl6AspIiwbiTiytefudjiEQi5GRm4IdvPsPebZvQ0tLcNqei3UOo/Tu3YN1Xn+DpF17HmIlTO8wp+2o6jh7cK4jdfu+fYWpm1pOPSgNYU1MTrqanIjU5CcVFhd3Ol0gkCAwKQURUNAKCgrmrDRGRkUVExyI0IgrZmRlIvHQBJV18LU9JvAwfP3+EhEX0+L5qtRqVFcJGjk4uLj2+LhEREREREVFvZmNjgy07duLRhx/CLxt+1hrfvXMndu/ciaDgYMycvwSXL5wTjL/4r3cwcsx4KBQKbNv4E77/5nOkJSd1ec/vv/kcq+68B4/97Xk4OHb8IuuXH/9HcGzv4Ihlt625uQ9H9CuNRoOioiJcuXIFKSkpaGxs7PYcBwcHxMbGIjY2Fk5OTgbIkoiIOmNtbY2VK1eisrIS58+fx6VLl9DU1NTh3JaWFmzatAn333+/Tuq+ZWXCTT3c3Ny4wRMRERERERH1WdbW1ti9ezcefPBBfP/991rjO3bswI4dOxAcHIzVq1e3Ndz6zQcffICpU6dCqVRi3bp1+Oijj3Dp0iXBnPz8fMHxRx99hAceeACvvfYanJ2dO8zrrbfeEhw7ODjg/vvvv5WPSASNRoPioiIkJychNSUFTTdQE7B3cEB0dAyiYmJYEyAiMjJLKyvMX7wU1dVVSLx0EUlXLqO5ueOaQKuiFbu3b8Xtd92rk42+ZO1qAk4uLhCLxT2+LhEREREREVFPsQMKkYHNnjMXl5JS8O/XX8Pnn36itftHa2sr9mzbqHXegmWrodFo8N0XH+PT9/4F1Q3sGgIA+bnZeOyeVZgwbRaefO4VePsFCMa/++IjwbGtnT0Wr7zjJj8VDXRKpRK52VlITU5Cbk4WVCpVt+d4efsgIioaoeGRkEqlBsiSiIhulEQiQWh4JELDIyErL0NqUiLyr+WguqpSa+7h/Xvg4ekFaxvbHt2zurISKpXw+xtnZ9ceXZOIiIiIiIioL7CyssI3363DXffci7899QRSU1K05mRnZeHT94WLY8zMzTFz3kLk5WbjyYfvRfKVS1rndUStVuPH/32F3ds24fFn/4GVd9wNiUTSNl6Ql4vd2zYJzllz30OwtLS6hU9HA1llZSUSExORmJiIykrt50rtSaVSREVFITY2Fj4+Pmy+QkTUyzg6OmLGjBmYPHkykpOTkZKSgry8PCgUCsG8srIyHDp0CDNnzuzxPTtqzkVERERERETUl1laWmLdunW4//778eijjyIxMVFrTlZWFl599VVBzNTUFCtXrkRubi5Wr16NM2fO3ND9NBoNPv/8c2zYsAGvvvoqHnzwQUFD7fz8fPzwww+Ccx555BHY2NjcwqejgayqqgopSUlITk7S2qi1I+YWFoiIjERMTCy8WRMgIup17O0dMGHyVIweNwFX01ORkZaGooJ8tCpaBfMqKuQ4evgQps6Y1eN7ymTCmoCLC9cSEBERERERUe/A5lxERmBnZ4c33nobd919N559+mnEHzrY5Xx7RyfMmLcYj969EmeOH7mlex49uBenjsbj0WdewG13PwQAKCkqwN4dmwXzVt55HyytrG/pHjSwaDQaFBcWIi0lCRnpaZ3uhPBH9g6OiIyOQURUNOztHQyQJRER9ZSLqxsmTp0OAKitqUZ6SjLOnDzWNt7S0oL01BQMGzm6R/dpX0yztraB1NKyR9ckIiIiIiIi6ksmTJqEE2fO4esvv8BrL7+E6urqLuff/cBfcDT+IP757BNobKi/6ftVV1Xh5b8/hZ/X/Q+f/W89PL19AADf/PdjqNXqtnmWlla44+77b/r6NDA1NTUhJSUFV65cQUFBQbfzJRIJQkNDERsbi5CQEMGiMCIi6p1MTU0xePBgDB48GEqlEoWFhdi9ezfKy8vb5ly4cAFTpkyBqalpj+5VWloqOGZzLiIiIiIiIuovJkyYgAsXLuCLL77ACy+80O0GB48//jgOHTqEBx98ELW1tTd9v6qqKjzyyCP4/PPPsX37dvj7+wMA3nvvPcFm41KpFI8++uhNX58GpqamJqSlpiI5KQmFBfndzpdIJAgKDkZ0TAyCQ0JZEyAi6gNMTU0RFROHqJg4qFQqlBQV4fDBfSgv//3d/5TEK5gweWqPawLyP9QZAMDZlc25iIiIiIiIqHfgk0wiIwqPiMS2Xbtx7uxZfPXF59j0ywa0tLRozVt++934y53LUVkh0xqTmJhg2uwFmD5nIZRKBerralFXW4sDu7chNfGSYK6itRXvvfYCwqNiMWTEGHz/1adQ/aGYZm4hxco779P9B6V+paqyAqkpyUhLSUZNdVW386VSS4RFRCIiKhoenl7c1YaIqA+ztbPH8NFjkZmRhsoKeVv8Rv496E6FTFhMc+JON0RERERERDQAmZiY4MGH/4zVt9+Bn9f/iC8//y/SUlO15oVHxaCkuBCff/Reh9fx8fPHbXfdB//AYNTV1qKutgYFedfw03ffaG20kJ6ShGcefRDfb9kNuawcm376XjC+cs3dsHdw1N2HpH5HqVQiKysTyYmJKLiWC5VK1e05vr6+iI2NRVRUFKRSqQGyJCIifTAxMYG/vz8WLlyIL7/8si3e2tqKhoYG2Nvb3/K1lUolKioqBDF3d/dbvh4RERERERFRb2NiYoI///nPWLNmDX744Qd8+umnSEpK0poXHR2N8vJyrF69usPr+Pv7489//jMiIiJQXV2Nmpoa5Obm4rPPPkNjY6NgblJSEm6//XacOHECcrlc8PM8ANx3331wcXHR3YekfkelUrXVBLIyM2+oJuDl7YPomBhEREbCkpu2EhH1WRKJBN6+vpg1bwG+++b37yEUSgXq6+vg0IP3ClQqFSr+sD4BAFxdWRMgIiIiIiKi3oHNuYh6geEjRmD4iBH415tv4fvvvsVnn/0XRfnXIBKJcO8jT6G0uFCrMZdIJMLt9zyMO+57GM4dPGy6/d6H8d/338A3n76vNVZckI+AoFBs3fCDIL545R2wd3TS7YejfqGpsRHpaSlIS0lGSXFRt/NNTEwQGBSCyOgY+AcGQSKRGCBLIiIymHZ9FsVicY8vKZcJv9dx4U43RERERERENIDZ2tri/gcfwn0PPIgTx4/j6y8+x9Ytm6FUKuHjF4CnnvsnHrvvTq3z/IOC8fd/vo4JU6Z3+Fz2zvsewm2LZqG03XPegvxrAIB1X/0XLc3NbXFTU1Pc9cCfdfvhqF/QaDQoLChAcnIS0lJT0dx0vembmUnn9QBHR0fExcUhNjYWDg4OhkqViIgMoKGhQSvW09qBTCaDWq0WxFxZOyAiIiIiIqJ+yMbGBg899BAefPBBnDhxAp999hl++eUXKBQKBAQE4K233sKKFSu0zgsODsZ7772HOXPmdFgTePzxxzFu3Djk5+cL4jk5OQCAjz76SNC8SyKR4KmnntLxp6P+QKPRoKiwEElJiYKaQFccHB0RHR2DqJgYODpyExgiov5EHzWBygq5VsNHZ9YEiIiIiIiIqJdgcy6iXsTJyQmPP/EkZiy7G3k5WdAAePqhOxEWGSOY5+Lmjlff/QzDRo/r9FppyVew+afvtOKu7h6YPHMe1n35MVqafy+KSExMcPu9D+vss1Dfp1QqkZ15FWkpycjNydJ68bkj3j6+iIyOQUhYBCwsLAyQJRERGVrSlYuolAt3pfH09unxdeWyMsGxkwuLaUREREREREQikQjjxo/HuPHj8XR2EUqLC3Hpwlm8+fI/EB4VjUvnz7bNXbLqDvzjtTdhZWXd4bVUKhU+//BdrcZcwPWmXfV1tfjhf18J4guWrYS7p5duPxT1aRUVFUhJSkJychKqq6q6nW9paYno6GjExsbCy8sLIpGo23OIiKhvUSgU2Lt3ryDm4OAAGxubHl23tLRU65rm5uY9uiYRERERERFRbyYSiTBu3DiMGzcOH374IQoKCnDu3Dk8+eSTGDRoEI4fP942984778THH3/c6c/fKpUKb7zxhlZjLuB60676+np89NFHgvhtt90GPz8/3X4o6tMqKyvbagJVlZXdzreQShEZFYXo6Bh4eXuzJkBE1A8plUrEH9gniNna2sHW1q5H15WVl2tdk+vSiIiIiIiIqLdgcy6iXsjO2gKxsdHYvW0T8nOzkZ+b3TY2cux4/Ofzb+Ho5NTp+UfjD+Kx+9agqalREPf1D8DX6zfD2dEWm378n2Bs/uLlCA0JEsSC/XrHruW2VqbGTgEAYGXRO/Kwk+rvS7dGo0FBfj6SkhKRnpaGluZmAICZGEC7XQyaldebdTk6OiEiKgYR0dGws7PXW25ERLrW0Kwwdgp9Tl1tDU4dPSKI2dk7IDg0vEfXbWpsREN9vSDm7MzmXERERPpiY2lm7BSIiIj6FGvz3vFs2MHREfYODnjmsYeQdTVdMPbup19j3uJlnZ7b3NSEp/58Hw7u3ak19ucnnsE9Dz2KH//3Fepqa9riIpEI9z78uNb8cJ+evVSrK73lmX1voc8/p42NjUhOTkZiYiIKCwvb4mYmkg7nm5iYIDQ0FHFxcQgODoZE0vE8IiLqH44cOYLKdoszx48f3+PFl2Vlwk093N3de3Q96p96y/fq9S2sOxLRrdHne2A3o6ZJaewUiIiIqB0nJyc4OjrinnvuQXq6sCawbt063HHHHZ2e29zcjDVr1mDjxo1aY8899xyeffZZfPnll6hqtwHDM888o5vkSe/0XRNISUlBYmIiCgoK2uId1QRalSpIJBKEhIYiKiYGwcEhrAkQEfVzp08cQ1VlhSA2YvSYHtcE5DJhcy4XV7ceXY+IiOiPessz8N5SEyAiIqKbx3/FiXopjUaDtZ9/IohZWEjx7S87Onxg1dzUhMsXz+FkwmF8/dmHUCqFPyxExQ7Clz9shJOzC04dT9B6EHbfX7QX2NDAoNFoUFJcjNTUFKSlpqKutrbbcyytrBARHI7I6Bi4uXtwVxsiogFAo9HgyMH9aG1tFcQnT5/Z45cp5HJhMU0iMYG9o2OPrklERERERETUH506dgRX01IEsX+89lanjbkKC/Jw7tQJ/PTdN7h84ZxgTCQS4cV/v4Pb/nQfAGDfrm2C8Wmz5iIoJFR3yVOf0tzcjPT0dCQnJyMnJwdqtbrbc/z8/BAXF4fIyEjuYkxENECUlJTg1KlTgpiPjw8GDx7c42u3b87l5saFOERERERERDSwJCQk4NKlS4LY22+/3Wljrry8PCQkJODzzz/HyZMnBWMikQgffPABHn30UQDApk2bBOPz5s1DdHS0DrOnvqS5uRkZGRlITk5Gdnb2DdUEfH19ERIRhfCICEilUgNkSURExlZeVopzZ4Q1AQ9PL8TE9bwmUN6uJuDiyo2+iYiIiIiIqPdgcy6iXionKxOJly4IYm98+JlWE6RrOdn48O3XsX/3DijaNcv4zdgJk/Hh1+tgbW0DADi4Z6dgPComDiFhETrMnno7jUYDWXk5UlNSkJqagup2Ox91xMTEBKFhYYiKiUFgYBDqWzUGyJSIiHqLrKvpuJaTJYhFRMfCxy+gx9eWlwubczk5O0MsFvf4ukRERERERET9zeaffxQcBwSF4Pa77xfEVCoVNv/8A7765D+4lpPd4XXMzM3x7idfYcbcBQCAqspKnD8tXKizcNkqHWZOfUFrayuuXr2K5ORkZGZmQqVSdXuOs7MzYmNjERsbC3t7e/0nSUREvYZKpcK2bdsEizUlEgkWLFjQ482dNBoNSktLBTE25yIiIiIiIqKB5ttvvxUcBwUF4YknnhDEVCoVvvvuO7zxxhu4evVqh9cxMzPDunXrsGLFCgBAdXU14uPjBXPWrFmjw8ypL1AoFIKaQPvN4Tvi5OSEuLg4xMTEwMHBAfUtCgNkSkREvYFarcb+PbsENQGxWIwZs+fq5L1/uUy4nsDZhc25iIiIiIiIqPdgcy6iXio9JVFw7Oziiumz5wti50+fxL2rl6C5uanT68xbvBz//s+nMDMzA3D9JdaDe3cJ5kxrd13qvyoqKpD2a0MuuUzW7XyRSARfPz9Ex8QgLDyi3U733RfgiIiof2hqbETCof2CmKWVFcZNnKKT61e0K6Y5sZhGRERERERE1KH0lCTB8ao77xG86KrRaPDYfXfi4N6d7U9tY2Nrh0/X/ogRY8a1xQ4f2CNoxGRhIcW4SVN1mDn1VkqlEllZWUhOTkZGRgYUiu4X0lhZWSE6OhpxcXHw8PDocQMWIiLqm06fPq3VQGvChAlwcXHp8bXr6urQ1CR8D8Ld3b3H1yUiIiIiIiLqSy5duiQ4fvDBByGRSNqONRoNVq1ahY0bN3Z6DRsbG2zbtg2TJ09ui+3atUvQiMnc3ByzZ8/WYebUWymVSmRnZ7fVBFo72Rz+jywtLdtqAp6enqwJEBENUJfOn0NZaYkgNmL0WJ000Wqor0dDQ70g5soNO4iIiIiIiKgXYXMuol4qO1O4c014VAxMTIR/ZT99/60uG3Pd/eAjeObFVwULc5KuXERpcZFg3vQ583SQMfVW1dXVSEtNRVpKCkrbPQjtjIurK6KiYxAVHQ07Ozs9Z0hERL3diYR4NDU2CmITpkyHhVSqk+tzpxsiIiIiIiKi7imVSlzLzRbEouMGC46TLl/ssjGXq7sHvvpxE8IiogTxA3uE54ybNBVSS8seZky9lUqlQm5uLpKTk5GWloaWlpZuzzE1NUVYWBhiY2MRFBQkWABGREQDT2VlJQ4fPiyIubq6Yty4cZ2ccXPKysoEx+bm5rC3t9fJtYmIiIiIiIj6ArVajYyMDEFs2LBhguPLly932ZjLw8MDu3fvxqBBgwTxLVu2CI6nTZsGGxubniVMvdYfawLp6elobm7u9hwTE5O2mkBwcDBrAkREA1x1dRVOHD0iiDk6OmHk6LE6ub6s3VoCUxNT2Nk76OTaRERERERERLrA5lxEvVR2prCYFhQSJjiur6vF2VPHtc6LjhuMEaPHYua8RRg0dLjW+MHdwgU2/oFBCA4N10HG1JvU1dUhPS0NqSkpKCosuKFzHBwdERkZhcioKLi4sikKERFdV5CXi7SUJEEsIChEZ98/qFQqVMjlgpgz/x0iIiIiIiIi0lKYnwdFux3M29cODu3brXWeg6MTho8ag5FjJ2DRitWwthYusGlsbMCJhHhBbPpsburR36jVauTn5yM5ORmpqalobNeIvSMSiQTBwcGIjo5GWFgYzMzMDJApERH1dhqNBjt27IBSqWyLiUQiLFiwQGcLNUtLSwXHrq6uEIlEOrk2ERERERERUV+Ql5en1UQpIiJCcLx9+3at85ycnDBhwgRMnjwZf/rTn2BraysYb2pqwp49ewSxxYsX6yhr6i00Gg3y8vJuuSYQGhoKc3NzA2RKRES9nUajwcG9e6BQKgTxGbPnwcREN0uT5eXC5lxOLi4Qi8U6uTYRERERERGRLrA5F1EvlZN5VXAcGBwiOD525BAUCuGDrfizSfDy8e3yugf37hIcT501ly+x9hONjY3ISE9Hakoy8vPyoNFouj3H1s4OERGRiIyKgruHB/8sEBGRgEKhQPz+vYKYmZkZJk2bobN/M6qrKqFWqwQxZ2c25yIiIiIiIiJqr/2mHg6OTnBwdBTEDh8Q/hw/ZsIkfPPT1i5/jj9++BBa/rDARyKRYNL0mTrImIxNo9GgqKgIycnJSElJQV1dXbfniMViBAQEIDo6GuHh4ZBKpQbIlIiI+pLLly8jNzdXEBsxYgS8vb11do+ysjLBsbu7u86uTURERERERNQXpKWlCY7t7e3h5uYmiO3YsUNwPGnSJBw6dKjLZhYHDx4UNGoSi8VYsGCBDjImY7uVmoBIJEJgYCBrAkRE1Km05CTkXcsRxAYNHgovHx+d3UMmE9YEXF3dOplJREREREREZBxszkXUCymVSuTmZAliQSFhguPD7RpljJs4pdvGXDlZmVqLd6bPnt+DTMnYWlpacDUjHakpKcjNyYFare72HEsrK0RERiIyMgrePj5syEVERJ06c+IoamuqBbExEybD2sa24xNugVwm3OnG2toGFnzBg4iIiIiIiEhL++f77esGxYUFyEhNFsT+8sSz3T4DPrBnp+B4+OixsHdw7GQ29XYajQZlZWVITk5GcnIyqquruz1HJBLBz88PUVFRiIyMhJWVlf4TJSKiPqm+vh779u0TxOzs7DBlyhSd3qd9c672i4+JiIiIiIiI+rv2zbkiIiIEz/uLi4tx4cIFwZwXX3yxy8ZcALBlyxbB8bhx4+Di4tLDbMlYbqUmAEBQE7C2ttZvkkRE1Gc1NjTg8KEDgpiNjS3GTdJtTUDWribg7MqNvomIiIiIiKh3YXMuol6oMD8PitZWQeyPi2xUKhUSDu0XjE+eMbvb6x7cI9wdx8XNHXFDhvUgUzIGhUKBrMyrSE1JQXZWFpRKZbfnWEilCI+IQEREJPz8/bstvBIREZWVluDyhXOCmIeXN6LjBuv0PvJyYTHNyYXFNCIiIiIiIqKO5GReFRwHhYQKjg8fFG7qYe/ggEHDRnR5TYVCgSPtzuOmHn2TXC5vW3wjl8tv6Bxvb29ER0cjMjIStra6a8ZORET91549e9Dc3CyIzZs3D+bm5jq7h0Kh0Pq3jM25iIiIiIiIaKDpqDnXH+3cKdx4w87ODuPGjevymkqlEtu3bxfEFi1adOtJktHcSk3Ay8sL0dHRiIqKYk2AiIhuyOFDB9Dc3CSITZ0xS6c1AZVKhcrKCkHMxYU1ASIiIiIiIupd2JyLqBfKzswQHNs7OMLR2bnt+NL5s6iuqhTMmTx9VrfXPbBHWISbOnMOmzT1EUqlEnm5OUhPS0XRtSyt5m0dMTUzQ1h4OCKjohAQEAiJRGKATImIqD9QqVSI37cbGo2mLSYWSzBlxhzB7nu6IJfJBMcu3OmGiIiIiIiIqEPtaweBf9jUAwAO7xc22ZowZQZMTLouBZ49eQy1NTWC2LRZc3uQJRlSVVUV0lJTkZaagiq5rPsTALi7u7ctvnFwcNBzhkRE1J+kp6cjJSVFEIuJiUFISIhO7yOTyQT1CYDNuYiIiIiIiGjg6a45144dwk27Z82aBVNT0y6vefz4cVRUCJtfLF68uAdZkiFVV1cjNSXlpmoCbm5ubTUBR0dHPWdIRET9SU5WJtJTkwWxsPBIrU3EeqqyQg6VSiWIOXM9AREREREREfUybM5F1AsVFeQLjgOChS+zHj6wR3AcGhEFLx/fLq9ZVlKMxEsXBLHps+f1IEsyBI1Gg7OnTuLcmVNoabm+A7GFSecN1UxMTBASGoqIyEgEBYd0W2QlIiLqyKXzZyGXlQtiI0aPhaOTk87vVSEX3sfJhcU0IiIiIiIioo4U5ucJjgOCfq8dNDTU4/SJo4LxyTNuflOPmEFD4O7p1YMsyRDkcjn27t6N/LxrbTEzk8436HB2dkZUVBSio6Ph4uJigAyJiKi/aW5uxq5duwQxS0tLzJrV/fcbN6usrExw7OjoCDMzM53fh4iIiIiIiKg3u3btmuA4LOz3DTsaGxtx8OBBwfj8+fO7veaWLVsEx4MGDYK/v/8t50iGUVFRgb27dyHvD38muqoJODk5ITo6mjUBIiK6ZS0tLTjUbnMwCwspJk+bofN7ydrVBOzs7GFhYaHz+xARERH1V06mjrCQ9M/vn5rFzcZOgYioDZtzEfVCra0tguNL585g3deftz1c+uqTDwTjk6fN7PaaB/cKX5S1sbXDiDHje5gp6VNrayv27tyOzKvpXc6TSCQIDApCZFQUgkNCYW5ubqAMiYioP6qqrMTZk8cFMUdnZwwZMUrn92psbEBDfb0g5uzM5lxEREREREREHWltbRUcr//uaxQV5sHCQoqNP66D4g/jJiYmGD9papfXU6vVWrWDabPm6i5h0ouc7Gxs2bwJLc1dv3hib2/ftvjGzc0NIpHIQBkSEVF/dPDgQdTV1QliM2fOhJWVlc7v1b45l5ubm87vQURERERERNTbtbQI1xN8+umnKCwshFQqxbfffovmPzwjFovFmD17dpfX02g02Lp1qyC2ePFineVL+nEtNxebN21Ec1NTl/Ps7OzaagLu7u6sCRARUY8cTziM2toaQWzilKmwsrbW+b1k7TYUd+ZG30RERERERNQLsTkXUS+kUiq1Yq/945lO58+ct7Dbax7cu1NwPHHqDO4u24vV1dZi26YNKCsr7XBcJBLBPyAAkVFRCA0Lh1QqNXCGRETUH2k0Ghw+sAcq1e/fi4hEIkydMQcSSec7rd2qinbFNInEBPaOjjq/DxEREREREVF/0L52cHj/Hhzev6fDuWMmTIaNrV2X10u6fBGyds+gp8+e37MkSa8unD+PA/v2Qq1WdzhuY2ODqKgoREdHw8vLi4tviIhIJ/Ly8nD+/HlBLCgoCLGxsXq5X2mp8PsTd3d3vdyHiIiIiIiIqDdTtqsJ7N27F3v37u1w7tSpU+HYzXt3ly5dQn5+viDG5ly926WLF7Fvz+5OawLW1tZtNQFvb2/WBIiISCeKCwtx5dIFQczXzx9RMXF6uZ+sXLiewIUbdhAREREREVEvxOZcRL1QYHDoDc8dN2kqomIHdTmnproKZ08eF8Smz5l3K6mRAZQUF2H75o2or6/TGvP28cXQQbEICw+HtR52HCAiooEtNekKigqEL+DEDh4Gd08vvdxPLpMJjp2cnSEWi/VyLyIiIiIiIqK+LjA4BClJV25o7oOPPtntnAN7dgiOA4JCEBQadku5kX6p1Woc2L8PF86d0xqTWloiPCICwwcPgq+vL5+tEBGRTimVSuzYIfyewdTUFPPnz9fLgk+NRoOysjJBzI0LcYiIiIiIiGgACg8Px5kzZ25o7v/93/91O2fLli2C46CgIERHR99SbqRfarUahw4ewLkO/v+3kErbagJ+fn6sCRARkU4plUrs37MTGo2mLWZqYopps+borQmkrFxYE3BxcdXLfYiIiIiIiIh6gs25iHqhSdNnYenqO7Bp/fddzhOJRHjkqb93e73DB/YJds8xMzfH+MnTepwn6V5xYSE2/vQDFEqFIG5uboH5i5fCzz8AdlJ+6SYiIt2rr6/DiYR4QczG1g6jxk3Q2z0rZMKdbpxYTCMiIiIiIiLq1D/feA9/ued2yMpKu5w3dsJkDBs1pss5Go0GB/bsFMSmz+amHr2RRqPBti2bkZaaqjUWHhGB+QsXwdTUFNbmpkbIjoiI+rujR49CLpcLYlOnToW9vb1e7ldXV4empiZBjM25iIiIiIiIaCD6+OOPsXDhQhQXF3c5b/LkyZg0aVK312vfnGvRokV6a7JBt06j0WDH9m1ISUrSGgsNC8OCRYthZmbGmgAREenF2dMnUVEhrAmMGT8RDg6OerlfQ309GhsbBDEXV64nICIiIiIiot6HHV6IeiFTU1P8671PcOe9D2Hj+nXIy81Bc3MzWpqb0NzcjOamRtjY2uHO+x7G4GEjur3ewT3CnWzHTpwCKytrfaVPt6iuthbbt2zUaszl4OiERUuXw9HJ2UiZERHRQHA0/gBaWloEscnTZ8LMzExv99Ta6caVC2yIiIiIiIiIOhM3ZBgOnrqM7Zt+xomjh1FXU9NWM2huboZC0Yqo2EF48V/vdnut7KsZuJadJYhNnzNfX6lTD5w4dqzDxlxjx43HhEmTuHiKiIj0pqysDMePHxfEvLy8MGJE9+8o3KrSUmETUnNzc701AiMiIiIiIiLqzYYNG4bs7Gz88MMP2L9/P6qqqtDU1ISmpiY0NjaitbUVgwcPxieffNLtc+LMzEykpKQIYosXL9Zn+nSLTp082WFjrtFjxmLSlCmsCRARkd5UyGU4e+qEIObm5o4hw/VXE5C12+jb1MQU9npqBEZERERERETUE2zORdSLhUfF4B+vvdWjazQ1NuLY4UOC2LRZc3t0TdI9pVKJ7Vs2oqGhXhD39fPHvEVLIZVKjZQZERENBNmZV5F9NUMQC4uIgl9AkN7uqVKpUFlRIYg5ubjo7X5ERERERERE/YGFVIoVd9yFFXfc1aPrHGi3qYeruwei4wb36JqkexkZ6TiacEQQk0gkmDt/PqJjYo2TFBERDQhqtRrbt2+HWq1ui4nFYixYsABisVhv9y0rE27q4ebmxkWnRERERERENGBZWFjg3nvvxb333tuj62zZskVw7ObmhtGjR/fomqR7mZlXkXA4XhCTSCSYPXcuYuMGGScpIiIaEDQaDfbv2QWVStUWE4vFmD57rl5rArJ2NQFnV1fWBIiIiIiIiKhXYnMuon5uyy8/orm5qe1YLBZjyvTZRsyI2tNoNDi4bzdKS4oFcT//QCxevhISicRImRER0UDQ0tyMhEP7BDELqRTjJ0/T632rqyqhVqsEMWdnV73ek4iIiIiIiIiA5qYmbPrpe0Fs2iz9vlRLN08mk2H71q2CmEgkwrKVKxEUFGycpIiIaMA4e/YsioqKBLFx48bBzc1Nr/ftqDkXEREREREREd26lpYWfPXVV4LYwoULWRPoZeRyObZt2QKNRtMWE4lEWLJ8OUJCQo2YGRERDQSXL55HcVGhIDZsxCi4uXvo9b4ymbAm4OLCtQRERERERETUO/GJOlE/JpeV471/vSKIDRs1Fo7OzkbKiDpy8fw5pCQlCmJ29g6Yu3AxG3MREZHenTx2BA319YLY+MnTILW01Ot9ZeXCYpqNjS0spFK93pOIiIiIiIiIgC8+fh8FedcEsRlz5hsnGepQU1MTNm74GYrWVkF88tRpbMxFRER6V11djfj4eEHMyckJEyZM0Pu9S0tLBcdszkVERERERETUM2+99RYyMzMFsSVLlhgpG+pIc3MzNv2yAa0tLYL4xMlT2JiLiIj0rramBsePHBbE7B0cMWrseL3fW15eLjh2dmVzLiIiIiIiIuqd2JyLqB9746XnUVdbI4g9/PhTRsqGOpJ3LRdHDx8UxMxMzbBo6XJI2aCEiIj0rKggH8lXLglivv6BCIuI0vu9K2TCYpoTd7ohIiIiIiIi0rucrEx88fH7gtjgYSMwcqz+m23QjVGr1di6eROqKisF8aiYGIwcNcpIWRER0UCh0Wiwc+dOtLZrELlgwQKYmJjo9d4KhQIVFRWCmLu7u17vSURERERERNSfZWVl4fXXXxfEhg8fjunTpxspI2pPrVZj+9YtqJDLBfHIqCiMHjPGSFkREdFAodFocGj/XrQqhDWB6bPmwNTUVK/3VqlUqKgQ/vvn6sqaABEREREREfVObM5F1E8dPrAXOzZvEMTmLV6OMRMmGykjaq+6ugo7t26GWq0WxGfPXwhnNighIiI9UyqViN+/RxAzNTXF5OkzIRKJ9H5/uUwmOHZ2cdH7PYmIiIiIiIgGstbWVrzw9GNQ/KHZhkQiwUtvvg+xmCXD3uJIfDxyc3IEMXcPT8yZO88gz2yIiGhgS0pKQlZWliA2bNgw+Pn56f3eMpkMGo2m7VgkEsHVlXVzIiIiIiIioluhUCjwwAMPoKWlpS0mFovx+eefsybQixw9cgRZmZmCmLu7B+bOX8CaABER6V1GWipysoX/DsXEDoKvn7/e710hl2mtp3PiegIiIiIiIiLqpfhUnagfSrx0AU88eLcgZmNrh7+/9HonZ5Chtba2YvumX9Dc3CSIjx43AcGhYUbKioiIBpJzp0+guqpSEBs1biJs7ewNcn+5rExw7OzqZpD7EhEREREREQ1EarUazz3xF5w/c1IQ/9MDf0Z4ZLSRsqL2UpKTcPqU8P8jK2trLFuxQu87ExMRETU0NGDv3r2CmI2NDaZNm2aQ+5eWlgqOHRwcYGZmZpB7ExEREREREfUnGo0G999/Pw4fPiyIP/bYYxg8eLCRsqL20lJTcPLEcUFMammJJcuXsyZARER619TYiMMH9wtiVlbWGD95qkHuLy8vFxzb2dnDwsLCIPcmIiIiIiIiullszkXUz1zLycYDdyxHU1OjIP7kcy/ChU0vegWNRoN9u3ZAJhM+SAwOCcPoseONlBUREQ0kclk5Lpw9LYi5uXsgdvBQg9y/sbEBjQ0NgpiTs6tB7k1EREREREQ0EL392ovYsXmDIObh6Y1Hnvq7kTKi9kqKi7Frxw5BTCKRYMnSZbC1tTVSVkRENJDs27cPjY3C9wzmzp1rsMUwZWXCTT3c3d0Ncl8iIiIiIiKi/ua5557Dt99+K4h5eXnhlVdeMVJG1F5ZaSl2bt8uiInFYixZugz29vbGSYqIiAaUhMMH0dgofJ9/yvSZkEqlBrl/+zV1XPNIREREREREvRmbcxH1I7LyMty7ejGqKisE8flLVmD1nfcaKStq7+ypk7iakSaIOTu7YNa8BRCJREbKioiIBgq1Wo34fbuhUavbYiKxGFNmzoFYbJgfDyraFdMkEhPYOzgY5N5EREREREREA83a/36Mbz77SBCTSi3x4dffwcrK2khZ0R81NjZi08ZfoFQqBfEZs2bDx9fXSFkREdFAkpmZicTEREEsMjIS4eHhBsuhfXMuNzcuxCEiIiIiIiK6WR9++CHeeOMNQUwqlWLjxo2wsbExUlb0R42Njdj4ywYoFApBfPrMWfDz9zdOUkRENKDkXctFSpKwJhAcEoaQMMPVBGTlwpqAsys3+iYiIiIiIqLei825iPoBjUaDnVs2YtG0cSjMzxOMjZs4Bf96/xM2feolruXm4MSxI4KYubkFFixdDnNzc6PkREREA0vipQsoKy0RxIaNHA1nF8MVtOQymeDYydnZYI3BiIiIiIiIiAYKWXkZnvrzvXjj5ecFcRMTE3z41TrEDhpqpMzoj9RqNbZu3oTamhpBfMiwYRg8ZIiRsiIiooGktbUVO3fuFMQsLCwwZ84cg+Wg0WjYnIuIiIiIiIioB8rLy7FmzRo8/vjjgrhEIsGGDRswatQoI2VGf6RWq7F96xbUVFcL4nGDB2PIUNZtiIhI/xQKBQ7s3S2ImZuZY8r0mQZdeygrF2727WLAtQxEREREREREN8vE2AkQUc/kX8vBy39/CscT4rXGomIH4YOvvoOZmZkRMqP2amqqsXv7Vmg0mraYSCTCvEVL4ODgaMTMiIhooKitqcapY0cEMQdHJwwbOcageci1drrhAhsiIiIiIiIiXVGr1djw/f/w7r9e0mr4BACvv/sxJkyZZoTMqCNHjxzBtdxcQczH1w/TZ8w0UkZERDTQxMfHo6bd9wwzZsyAtbW1wXKora1FU1OTIObu7m6w+xMRERERERH1VWq1Gt988w2eeeYZVFVVaY1/8cUXmDdvnhEyo44cP3oUOdnZgpiXtw9mzprNzdiJiMggTh5LQE218HuG8ZOnwMbW1mA5NNTXo7GxQRBz4YYdRERERERERlFfX4/GxkY0NTWhqakJLS0tMDc3h6WlJSwsLGBlZQUrKytjp2l0bM5F1If9+O1XeOOl59HS3Kw15usfgC++/wXW1jZGyIzaUyqV2LFlE5qaGgXxcRMmwz8g0EhZERHRQKLRaBC/fy+USqUgPmXGbJiYGPbHArlMuNONM3e6ISIiIiIiItKJ8rJS/PWBu3Dh7KkOx596/iUsWrHawFlRZzIy0nHyxHFBzNrGBouXLoVEIjFSVkRENJAUFhbizJkzglhAQAAGDx5s0DzKyoSbepibm8POzs6gORARERERERH1NaWlpVi1ahUSEhI6HH/11Vdxzz33GDgr6kxm5lUcP3ZUELOytsaSZcsM/g4nERENTKUlxbhwTlgT8PbxReygIQbNo7zdRt9mpmawt3cwaA5EREREREQDiUqlQmZmJpKSkpCeno6ioiIUFRWhuLgYjY2N3Z5vZWUFT09PeHp6wtvbG+Hh4YiOjkZoaCjEYrEBPoHx8QkuUR+kVCrxrxf/jh/Wftnh+OTps/DK2x/0uNGFrZVpj87XFXfHvt1JUaPR4ND+PSgrLRHEg0PCMHzUaCNlRUREA01GajIK8nIFsZhBQ+Dp7WPQPFQqFSorKgQxJxcXg+ZARKRPdY2txk4BAGBjaWbsFAD0nt+P3qK3/P9CREREN6e+RWHsFG5IWnIiHvrTKpQWF2mN2drZ4e8v/QtLV93R4/v0lu9p7KR9u8wpk8mwY9s2QUwsFmPJ0mWwtrY2UlZERDSQqFQqbN++HRqNpi1mYmKCefPmQSQSGTSX9s253NzcDJ4DERHRQNbXf8YmIiIaiBITEzF//nzk5+drjdnZ2eGdd97Bvffea4TMqCMVFRXYvnWrICYWi7F4yVLY2HAzdiIi0j+VSoUDe3YJagKS/2fvvsPbKs+/gX8lW7K85L1HvHe2E8fZe2+SEGaBlkIpo9BBW34vpayUQkuhQJllFRrIIHs4zt7bSZzEO47jvbdkWdJ5/0hjcizZsR1bR46/n+vyRc79nHHLCZZ17vPcj40NZsyea/H78ZXl4oW+Pby8WBMgIqIBoU6jlzoFq8LaBBFR3zEajTh79iwOHDiA48ePIyMjAy0tLaJ9bv58eCuNjY3IyspCdna2KG5nZ4fY2FgkJSVh4sSJGDZs2B3brIvvWkT9TEN9HX712MM4tG+3yZiPnz/+75U3MGPuAt6UsiJnTp5A+vlzopibuwdmzePfExERWUZzcxMO7E0VxZycnJE8fpLFc6mproLRaBDFPD1vr6EoERERERER0UC3e+c2/OaJn6G5uclkbMHSFfj9S6/d9oIe1Huam5ux9vvvoGtX6J4+cxYCgyzbSJ2IiAauQ4cOobzdBJjJkyfDw8PD4rmUlpaKtn18fCyeAxEREREREVF/sXXrVqxcuRKNjY0mYytXrsTbb78NX19fCTIjczQaDdZ8txotWq0oPmXadAQPGiRRVkRENNCcPnEc5eXihTLGjJ0Adw9Pi+dSUSHOw4vPMhAREREREd02nU6H3bt3IyUlBUeOHEF9fX3bWEeNuLrT60QQBJPzaLVapKWlIS0tDR999BHUajXGjh2LmTNnYtq0aVAqrWNB6N7A5lxE/YBer8fRg/uw5Ye1SNm2Gc1NpoW0+x/5OZ79/f+Dk7Pa8glSh/Jyc7C/XTMUha0CC5fcBZVKJVFWREQ00Bzck2ryYMfEaTNhJ8F7UWWFeKKPs7MaKnt7i+dBRERERERE1N+VlRRj28b12PzDGlw8n2YyHhAUjFfefAfjJk21fHLUIYPBgB/WrUVNdbUoHj94MEYmJkqUFRERDTQVFRU4cOCAKObr64vk5GRJ8ikrE0/E4QRiIiIiIiIiIrGSkhKsXr0a3377LU6dOmUyHhwcjI8++gizZ8+WIDvqiNFoxA/r1qK6qkoUj4uPx+ikJImyIiKigaamugpHD4trAl5e3hg1RpqaQGW7hUO8uGAHERERERFRj50+fRobN27Ejh070NDQAMC0GVdnTbg6atzV/viOznHz8XV1ddixYwd27NgBJycnzJkzBwsXLkTiHfB8NJtzEVkpQRBw7swpbPlhDbZtXI+qygqz+ymUSrz+9/ex8K4VFs6QbqWqsgLbNv5g8oY0Z8EieLKrPxERWUh+Xi6yMi6JYhHRMQiPjJIkn6p2zbk8+J5IRERERERE1GV1tTVI2boJm39YgxNHDnVYEB05Ohnv/fsbuHt4WDhDupVdKTtxNT9fFPP188fcefO7tQIVERFRTwmCgM2bN8NgMLTFZDIZFi5cCBsbG4vn09raiqp2E1R9OBGHiIiIiIiICLW1tVi/fj2+/fZb7Nmzp8OaQHJyMjZs2ABvbz6LZ21Sd6Ug/8oVUczX1w9z5y9gTYCIiCxCEATs2rENer2+LSaTyTBjzjxJagJ6vR5VVZWimJcXawJERERERETdodPpsGHDBnz55ZfIy8sDIG6SZe7eY2dNuG7VvKujY8017bqxb0NDA9asWYM1a9YgNDQUDz30EBYtWgQ7O7uOX5gVY3MuIitTUV6Od95+F5vXf49rV/M73dfdwxPvf/4tRoziqinWaHfKDrToWkSxcRMmIzI6RqKMiIhooNG1tGDfrh2imJ2dHSZOnSFRRtd/17mZJx8IIiIiIiIiIuqUIAjYlbIT//rXx9i/JwWtOl2n+y9efg9eefMdKPtp8fJOdq2gAGdOnRLFnJydsWzFCigUComyIiKigebUqVMoKCgQxZKTk+Hv7y9JPuXl5SYPh3EyMREREREREQ1kKSkp+Oijj7B161a0tLR0uu+9996Lzz77DCqVykLZUVcVFRbi1IkTopijkxPuWrECSqVSoqyIiGigST+fhmsFV0Wx4SNHwc8/QJJ8qqsqYTQaRTHOJyAiIiIiIuqa6upq/Oc//8Hq1atRU1PTaUOu9mM9XSzgVsd1dp0bY3l5efjTn/6Ev//977jnnntw3333wdPTs0f5SIXNuYishMFgwOeffYo/v/j/UFtb2+m+crkck6bNxP+99lcEBg2yTIJkoq6uFufPnkFFeTnsVCqEhIYiLDwS9g4OqKmuMrl5GROXgKSx4yTKloiIBqKjhw6goaFeFBs/eRocHZ0kygioqmzXnMuLxTQiIiIiIiKijlzJy8Nvf/0cdm7fdst9Pb288fgzv8H9j/ycq61LRBAEZGZcRsbly9BqtfDz80dYeDgCg4Igk8lw9uwZ0f62trZYtnwF1Gq1RBkTEdFAU19fj9TUVFHMzc0NU6ZMkSgjoKysTLTt5ubGCapEREREREQ0IOXn5+OZZ57Bpk2bbrmvt7c3/vCHP+CZZ55hTUAigiAgMzMDGZcuQavVwtfXD+EREW01gbS0s6L9b9QEXFxcJMqYiIgGmsaGBuzfs1sUc3FxxbiJk6VJCEBlu4W+XVxcYceFx4iIiIiIiDpVV1eHTz75BN988w20Wm2HTbluxM0147r5mPZsbW1hZ2cHlUoFpVKJlpYWaLVatLS0wGAwdHhcZ9cx16irtrYWH374IT7//HPcd999ePTRR+Hq6nrrb4AVYHMuIitw6uRJPPfMUzh75kyn+w0eNgLzlyzH3EVL4e3ja6HsyJziokKs/+6/aNH9uBpRxqV0qFT2mDN/IWpqakyOmTF7LoufRERkMaXFRbiQdloUCwwehNiEIRJlBDQ3N6G5qUkU8/Bkcy4iIiIiIiKi9rRaLd5+60387c2/oqWlpcP9nJzVmDlvIRYsWYakcRNhY2NjwSypvU0bN+DihQtt23m5uTh86CAiIiOx5K5lyM3JEe0fFR0N/wBpViQmIqKBRxAEbN261eR3iwULFkChUEiUlWlzLl9fPgtBREREREREA0tLSwvefPNNvPbaa9BqtR3u5+zsjKVLl+Lee+/F1KlTYWvL6UBS2rJ5Ey6cO9e2nZebiyOHDyEsPBxLly1HTna2aP+IyEgEBAZaOk0iIhrA9qamoKVF/LvFtFlzJF0go7xcXBPw8vaRKBMiIiIiIiLr19zcjM8//xxffPEFGhsbRY2vbhAEoW3bXKMuAFCr1YiKikJMTAxCQkLg4+PT9uXh4dHpvebW1lZUVVWhrKwMpaWlKCsrw5UrV5CZmYns7Gw0NDS07dtRs66b44IgQKvV4t///je+++47PPTQQ3j44Yfh6Oh4G9+pvse78UQSqqqqwp9f/H/44t+fddhp0MvHFyvufwgLl65ASFi4hTOkjpw7e1rUmOsGrVaDzRvWITYuwWQsNzsLsfGmcSIiot5mMBiwO2Wb6PcLGxtbTJkxW9JGkZXtimm2trZwdXOTKBsiIiIiIiIi67Rzx3b89tlnceVKntlxuY0Nxk6YhBX3PYTJ02fBTqWycIZkTl1dnagx181ysrPxw7q1UCqV0DQ3t8ULCwuh0+kkffiZiIgGjkuXLiEzM1MUGzZsGMLCwiTK6LrS0lLRto8PJ+IQERERERHRwLFz5048+eSTyGm3uMMNNjY2mDp1Kn7+859j3rx5sLe3t3CGZE5DQ4OoMdfN8nJzsX7tGiiVSty8lGlRURFaWlpgZ2dnmSSJiGhAy87MQFbmZVEsNj4BoRLPTaysKBdte3pzoW8iIiIiIiJz1qxZg7fffhs1NTVmm3LdcHPTqxsiIiKQlJSEpKQkDB48GH5+fj3OQ6FQwNfXF76+vhg6dKjJeFFRES5cuIDjx4/jxIkTyM3NFeXWPueb821sbMT777+Pb775Bs899xyWL1/e4zz7GptzEUnAaDTiqy++wJ/+3wuorqoyu09kTCyGjxwNLx9fjJ80lY25rEzjTR0c29Pr9bhwPs0knrJ9CwKDguGsVvdhZkRERMDp40dRXVkpiiWNmwBXN3eJMrqusqJCtO3h6QW5XC5RNkRERERERETWpeDqVTz/219jy6ZNZscdHBwxeux4REbHwlmtxrTZ8zpdqYgsq6G+vtPxnOxsk1h9XR327E7F7Dlz+yotIiIiAIBGo8G2bdtEMUdHR8yaNUuijK4TBAFlZeKFPXx9fSXKhoiIiIiIiMhyrl27hmeffRbr1q0zO+7g4IDJkycjISEBLi4uWLRoERQKhYWzpI7cqiaQd9MEtJuP2Z26C3Pnze+rtIiIiAAAWq0We3btFMXs7R0wZdpMiTK6ThAElLerCXh7c8EOIiIiIiLqe9XV1SgsLERjYyN0Oh0cHBzg6uqKkJAQq1tg98KFC3jllVdw4cKFTptyAT825FKpVJgwYQJmzpyJcePGwd3dcnPJAwICEBAQgNmzZwMAqqqqcPjwYaSkpODQoUPQarUATF/DzU26ampq8OKLL2LNmjV48cUXkZCQYLH8u4pP7BNZ2Lm0s3j2madx8vhxs+MBgYEYlTwBgcGD2mKlJUWWSo+6QBAE1NXW3nI/uVwOo9HYtq3X65GVcRkjRyf1YXZERDTQVVdW4uSxI6KYl7cPhieOliijH1W1W+nGw4sr3RARERERERHpdDq8+4+38ddVr0Oj0ZiMy2QyjB03HnHDRsLOTtV2TE11Fbz4oKrVqK2tMYnZqVRo+V9R+QaFUolWna5t+8L585g5azYbmBMRUZ9KSUlBU1OTKDZ37lzY29tLlNF19fX1bQ9g3eDjw99viIiIiIiI6M6l0+nw9ttv4+WXX0Zzc7PJuEwmw/jx4zF27FioVD/WBCoqKuDv72/pdKkD5moCKnt7aNvVeRQKBVpbW9u2L164gFmz58DGxqbPcyQiooHr0L49aGxsEMWmTJ8JewcHiTK6rqmxERqN+PcfT2/OJyAiIiKigctgMCAnJwfnz5/HhQsXkJ6ejqysLNH9pJt99dVXSErquz4VNzdS6kuenp4YNmxYn15Dr9cjNTUVqampOHr0KCorK83uZ2Njg4iICEyaNAnz589HdHR0n+Z1Ky+++CLWrl0LQRAgCEKnTbkUCgWmTp2KOXPmYNKkSZI/B3aDh4cHFi5ciIULF0Kj0WD//v3Yvn079uzZg9bW1k6bdJ0/fx4rVqzAsmXL8PLLL0uRfofYnIvIQmpra/Hqn1/CJx99KGrYdIOjoyOe/+ML+OVTT+Pjf3+FomsFbWOtOvNvoCSNyopy1NXVimL3/eQRHNq/F1fzr7TFzP0919fX9XV6REQ0gAmCgD27tsNoNLTFZHI5ps6aaxUTPCvbNefiBGIiIiIiIiIa6Pbu3o1fP/sMsrOyzI4njUnG2+++i8ioaPz5lddFYzc3eCLptf87jIiMxNhx4/HVF5+L4u3/3lp1Omi1WjhI/CA0ERHdufLy8nD27FlRLDo6GnFxcRJl9KOysjLRtkqlgouLi0TZEBEREREREfWtPXv24Mknn8Tly5fNjo8ZMwbvv/8+4uPjsWrVKtGYjjUBq9K+JhAaFoaJkybjy8//LYq3n0jZ2toKjUYDJyenPs+RiIgGpsKCApxLOyOKhYZFICYuXqKMflTRbi6BUqGEq6ubRNkQEREREVleQUEBLly40NaM69KlS2YX9ZXKiy++iKKioj6/zuTJk/HRRx/1ybmNRiPWrFmDDz74AKWlpbfc32AwIDMzE5mZmfj4448xduxYPP/884iJiemT/G7l+++/b/tz+yZWgiAAAAYNGoTly5dj6dKlcHd3t2h+3WVvb4/Zs2dj9uzZqK6uxvr167F27Vrk5+cDEL/GG3++8XfI5lxEA9DuXbvw6E8fRkV5udnxxUuXYtUbbyIwKAgAEB0bL2rOVWdmZRWSTk62uJjm4uIKH18/TJwyDV9//mmnx9540yMiIuoLF86dQUlRoSg2fOQoePv4SpTRjwwGA6qrqkQxD08vibIhIiIiIiIikpZGo8HTT/wCq//7rdlxTy8vvPLaKtx7//1tDbed1S5ouGkBiLraGvgHBlkkX+qcXq9HTk6OKBYVHYPAoCDExMYio4OJVjewdkBERH2ltbUVW7ZsEcXs7Owwb968DldWtKT2D8H5+PhYRV5EREREREREvUmr1eLxxx/Hl19+aXbcw8MDb7zxBh5++OG2moC7uzuqq6vb9qmurkZISIgl0qVbMBgMZmsCAYGBiIuPx6WLFzs9njUBIiLqK3q9Hik7topiSoUS02bNtop775Xt5lV6entbRV5ERERERH3pwIED+PLLL5Geno7a2lqp07mjlZaW4le/+pXJIobdceTIESxduhSPP/44nnrqKUk+s3TUlGv8+PH46U9/iuTkZIvn1Bvc3d3xs5/9DD/72c9w9OhRfPbZZzh06BAA09dsjeRSJ0B0p9v4w3osX7rYbGOu8IgIbNi8FV9/u7qtMRcAeHr7iParq61B4bWrfZ4rdU1uVqZoOywiEjKZDF7ePnBz9+jwOLlcjoio6L5Oj4iIBqjGhnocPbBPFFO7uGL02AnSJNROTXUVjEaDKObp5S1RNkRERERERETSaWxsxLLFi8w25pLJZPjZzx/DmfPpuP/BB9sm4QCAl7f4c3T6+TRO4LAS+flX0KrTtW3LZDJEREYCAGLj4jo9Nih4EBwdHfs0PyIiGrj27dsnmsgLANOnT4darZYoI7GysjLRto+PTwd7EhEREREREfVPTU1NWLBggdnGXDKZDI899hgyMzPx05/+VFQT8PUVL8h56tQpGI3GPs+Xbu1qfj5atFpRLDIqCgAQGx/f6bH+AYFwcnLqs9yIiGhgO37kEGqqxYtpj5s0GS4urtIk1E55ubgm4MW5BEREREQ0AJw7dw6HDh1iY64+dunSJdx111231ZjrBoPBgPfffx9PPvkkdDc9G2xpgiBAJpNhzpw5+OGHH/Dpp5/228Zc7SUnJ+PTTz/Fhg0bMGfOHMjlcqt/Jp7NuYj60Lf/+RoP3ncvWltbRXF7e3u8+NKfcfz0WUybMcPkOE8vb9ipVKLYvl07rf4HykBQX1eHsjLx6r03Gm7JZDJMnzVHVBi9wc3dA0uWr0TwoBBLpElERAOMIAjYl5pi8kFv6szZUCgUEmUlVlkhblTqrHYx+X2HiIiIiIiI6E5XW1uLRfPn4sD+fSZjIxMTse/QEbz97j/h5uZmMh4YHCLaLi0uQublzldfJ8vIyhQv6nHz5JqY2DiER0SYHCOTyTB85Egsv/tui+RIREQDT0lJCY4ePSqKBQUFITExUaKMTLE5FxEREREREd3J6urqMGvWLKSmppqMjRw5EseOHcOHH34IDw/TxaFDQ0NF28XFxTh//nyf5Updl52dJdr28w9oa4QeFRXd1qjrZjKZDMNGjMDd99wDmUxmkTyJiGhgqSgvw4ljR0QxP/8ADBthPTWBynbNuTy92ZyLiIiIiIhuX25uLh555BFUVlb26nlTU1Px61//GgaDoVfP21Xz5s3D9u3b8fbbbyM2NlaSHPpaTEwM3n77bezYsQPz5s2TOp1O2UqdANGd6tOPP8KzTz9lEp85ew7+/o93MCgkpMNjbWxsMDp5PA7u/bEQV1NdhZrqaribKb6R5eTmiItpKpU9AoOC27aDB4VgyfKVOHnsCFpbW+HsrMag0FDEDx4KGxsbS6dLREQDRE5WBq7kZotisQlDEDQotIMjLM+kmMaVboiIiIiIiGiAqaiowOL5c3H+3DlRXK1W45XX/4KHHnnE7OIPN8TGD8bpE0fR1NjYFsvLyUJMXEKf5Uy3JggCsrPEtYOo6Oi2P8tkMiy5axn27d2DosIiqFR28PD0xLBhw+HNBiRERNRHjEYjNm3aBKPR2BazsbHBwoULrWYCaGtrK6qqqkQxX19fibIhIiIiIiIi6l1VVVWYNWsWTp8+LYo7OzvjjTfewM9//vNOny0fOnQoDh48iPr6+rZYRkYGhg0b1lcpUxcIgmCyYMfNzbhkMhkWL70L+/buQeG1QqhUdnD38MCwYcPhw/seRETUR4xGI1K2bxXVBORyOWbOmdfpMwiWpNfrUV0trgl4e/O9kYiIiIiIbk9TUxOeeOIJ1NTUdLhPQEAAVqxYgbFjxyIsLAwqlQr19fXIzMxEamoq1q9fj+bmZrPHpqSk4P3338fTTz/dVy/BxJgxY/Cb3/wG8fHxFrum1IKCgvC3v/0NjzzyCN566y0cO3ZM6pRMsDkXUR945+2/4//+8HuT+KOPPY633v5Hl25sDR2RKGrOBQCtupZey5F6JrfdSjdhEREmf58hoWEICQ2zZFpERDSAaTUa7N+dIorZOzhg/KSpEmVkXmVFhWjbw8tLokyIiIiIiIiILK+kuBgL5s5GZkaGKO7h6YmNW7Zi6LDhtzyH0s4OMXEJOH3ix4KjrkXX67lS9xQXFYkapgHi5lwAoFQqMXPWbEumRUREA9zRo0dRUlIiik2cOBFeVnRvvry8HIIgtG3LZDKryo+IiIiIiIiop0pLSzFjxgykp6eL4u7u7khJScHIkSNveQ6lUolhw4bhwIEDbTGtVtvruVL3lJaUoOGmhmkAEN2uJqBQKDBj5ixLpkVERAPc2dOnUFpSLIqNTh5nVYtpV1VWiJqHAZxPQERERER0g0qlQmxsLBISEnDt2jXs27dP6pREVq1ahaVLl0qdhlmvvfYa8vPzzY7JZDI8+uijeOqpp6BUKkVj7u7uSE5ORnJyMh5//HH88Y9/FN2Lvdm//vUvjBs3rkv3dW/Xp59+ivHjx/f5daxVfHw8Pv/8cxw6dEjqVEywORdRLxIEAatefQWrXnvVZOyZ557DK6+t6vIqtDKZDHYqFVpuKqK16lt7LVfqPo1Gg2sFV0Wx8IioDvYmIiKyjEP790DTrivzpGkzobK3lygj86oqy0Xb1lTsIyIiIiIiIupLV/PzsWDObFy5kieK+/r5YfO27YiJjevyuZzUatG2nnUDyWVlZoq2PTw94eHhIVE2REREQHV1Nfbu3SuKeXt7W92DW2VlZaJtd3d3kwfhiIiIiIiIiPqbgoICTJs2DTk5OaK4j48PUlNTkZCQ0OVzubi4iLZbW1kTkFp2lnihbzd3d3iysQgREUmorq4Wh/eLawLu7h5ISh4nUUbmVVaI5xK4uLrBzs5OomyIiIiIiKRja2uLyMhIDB48uO0rMjIStrbXW//885//tLrmXNYqLS0N69ev73D85ZdfxooVK255Hi8vL3z00Ud4/vnnsWnTJpNxo9GIV155BevXr4dcLr+tnG/F2p7vkoo1fh/YnIuolwiCgBf+8Hv88x9vm4z934t/wu/+8McuN+a6Qam0EzXnunguDYFBg247V+qZK7k5oi79tra2CAkLlzAjIiIa6K5dvYLL6edFsdDwSERExUiUkXlNTY1obmoSxTy9fCTKhoiIiIiIiMhysrOzsGD2bBQVFYriwcGDsHn7DoSFd+8es1Ipfji1tKQYFeVl8PLm52ypZGWJm3NFRUVLlAkREdH15xa2bNkCvV7fFpPJZFiwYAFsbGwkzMxUaWmpaNvX11eiTIiIiIiIiIh6R05ODqZNm4aCggJRPCgoCLt370ZkZGS3zte+YUVxcTGKi4vh7+9/27lSz5irCXR3jggREVFvEQQBqTu2o7Xdol4z58xvm9hvLSrKxc25vPmMAxERERENED4+Pli4cGFbI664uDg2qu0lb775JgRBMDv20EMPdakx1w1yuRyvv/468vPzcf78eZPxy5cvY9OmTVi8eHFP06V+rm/bshENEEajEc8+/ZTZxlyvv/FXPP/HF3pUdBkUGibazsq4hJJ2E3jIcsrLxA8HBwWHcOVeIiKSTGtrK/ak7BDFlEolJk+faXUPe1S1W+nG1tYWLq6u0iRDREREREREZCEX0y9g9vRpJo25IiIjsXP3nm435gKAwOBBkMt/bKwhGI04tG/3bedKPdPa2oqqykpRLDIqSqJsiIiIrq8ImZeXJ4qNHj0aQUFBEmXUsbKyMtG2jw8n4hAREREREVH/dfHiRUyYMMGkMVd4eDgOHjzY7cZcABAaGipqti0IAnbu3HnbuVLPGAwGlLe7n8GaABERSely+gXkX8kVxYYNH4kAK6wJVJSL30M9vb0lyoSIiIiIyLJWrFiBN998Ew8++CCGDx/Oxly95Ny5czh16pTZscDAQPz617/u9jkVCgVef/31DhdA/Oyzz7p9TrpzsDkX0W0qvHYNK+5ais8++VgUl8lkeOef7+OpZ37V43OPHjsediqVKNb+phlZjr5VvJKAi4uLRJkQEREBJ44cRH1drSiWPHEynJzV0iTUicqKCtG2h6cX5HJ+FCEiIiIiIqI7kyAI+PY/X2P29GkmkzTiExKwM3UPAnv4MKyTkzNGJo0RxYquFaC13f1rsgy9Xm8SY0NyIiKSSmNjI1JSUkQxFxcXTJ06VaKMOiYIAptzERERERER0R1BEAR88803mDhxIkpLxQtBx8XF4eDBgxg0aFCPzu3o6IiJEyeKYlevXkVLS0uP86WeY02AiIisSXNTE/bu3iWKOTurMW7SFIky6pggCKgoFy/27eXF5lxERERERNRz//nPfzoce+qpp6BUKnt03sjISCxatMjsWFZWFo4fP96j81L/xxnxRD1kMBjw0b8+wKjhQ7Fz+zbRmFwux8ef/RuPPProbV3D0dEJ4ZHRopiOxTTJGIwG0ba8g66XREREfa28rBRnT50QxXz9AzB46AiJMupcpclKN5xgQ0RERERERHemK3l5WDx/Hh772U9RW1srGhuZmIhtKanwvs3GE4OHiT//C4IAnY61AykYDAaTWEcrZhEREfW17du3Q6PRiGLz5s2zyhU36+rqoNVqRTE25yIiIiIiIqL+Jj8/H3PmzMH999+P6upq0djw4cOxf/9++Pn53dY1Ro0aZRJjcy5psCZARETWZO/uXdBqxTWBqTNmQaVSSZRRx5oaG6HRNItint5szkVERERERD2j0WiQmppqdszLywvz5s27rfP/5Cc/6XBs8+bNt3Vu6r9spU6AqD+6dDEdTz7xC5w009lQoVDg86//g0WLl/TKtRQKcVfG1tbWXjkvdV+rTvy9ZzGNiIikYDAYsHvHVgiC0BaTy20wbeZcyGQyCTPrWGWleKUbT650Q0RERERERHcYvV6P9959B6+/8rJJUwwAGDtuPNb8sAFqtfq2r9W+bgAAetYOJKHX601irB0QEZEUMjMzcfHiRVFs8ODBiIqKkiijzpWViRf1UKlUcHFxkSgbIiIiIiIiou7R6/V499138f/+3/9Dc3OzyfjYsWOxdetWuLq63va1lErTmgDnE0iDNQEiIrIWebk5yLiULopFx8QhIipaoow6V95uoW+lQglXVzeJsiEiIiIiov7uwIEDZu/LAsDs2bOhUChu6/wxMTGIiopCVlaWydiuXbvw8ssvQy6X39Y1+sKpU6dQWFhoElcqlZg7d64EGd1Z2JyLqBu0Wi3e/MsqvP23t8wWtby8vfHJZ59j2owZvXZNW1txwcZgpqhDfU+n0yE/L1cUYzGNiIikkHb6JCorxM2uRo0ZC3dPT4ky6pzBYEB1VZUo5uHpJVE2RERERERERL0v7exZPPmLx3AuLc3s+F3Ll+ODjz6Bg4NDr1zP1ta0vGfQm67WTn0v4/JlkxhrB0REZGktLS3YunWrKGZvb4/Zs2dLlNGttW/O5ePjY7ULkBARERERERHdLC0tDT/72c9w+vRps+PLli3D559/Dicnp165nrl7zuaaRFHfy8zIMImxJkBERJbW0tKC3Tu3i2J2dipMmT5TooxurbK83ULf3t6sCRARERERUY8dPny4w7Hp06f3yjVmzJhhtjlXbW0t0tPTMWTIkF65Tm965513cOrUKZP4ypUr2ZyrF1hfOzYiK3Xo4EGMHZ2Iv/5lldnGXA/85CGcSjvfq425AMCm3SQbg5ETbKRw+uRxtOhaRDFfP3+JsiEiooGqtqYaxw8fFMXcPT0xMilZooxurbqqEoLRKIp5enlLlA0RERERERFR72lubsYLf/g9Jo1LNtuYyz8gAKvXrsMXX3/Ta425AEAul0PWbsUl1g4sr7W1FYcOHhDFvH18zDZPIyIi6kupqamor68XxWbPng1HR0eJMrq10tJS0baPj49EmRARERERERF1jUajwe9//3skJiaabczl7++PH374AWvWrOm1xlwAIJPJTO47szmX5en1ehw8sF8U8/TyglKplCgjIiIaqA4f2If6+jpRbPK06XDsxd8/eltFu4XJvTiXgIiIiIiIbsOxY8fMxlUqFUaMGNEr10hO7njO9tGjR3vlGr2toKAAgiCIvgBg8eLF0iZ2h+DT4URd8P4/38Xvf/sbs2Ph4RF49/0PMHHy5D65tqa5WbRt0HOCjRTycrJF256eXggNj5AoGyIiGogEQcDeXTtgMPz4YI1MJsO0mXOtevW1qnbFNGe1C+xUKomyISIiIiIiIuodFeXlmDtrBjIuXzYZk8lkePSxx/Gnl1+BWq3u9WvrdDqTRtgGTsSxuGsFBdC1iBf1mDBpkkTZEBHRQFVQUICTJ0+KYuHh4Va5OuPNysrKRNu+vr4SZUJERERERER0a5WVlZg6dSouXLhgdvwXv/gFVq1aBRcXl16/dmtrq0kzLoOB8wksraiwEFqNRhSbyJoAERFZWHFRIdLOnBLFggeFIH7wUIky6prKcnFNwIsLdhARERERUQ/V19fj6tWrZsdiY2N7rZn+4MGDYWNjY/ZebEf3iaVWW1sLmUzWti0IAlQqFYYOte7PjP0Fm3MR3ULa2bP44/O/M4nb2trimWefw/N/fAH29vZ9dv383BzRtqubW59dizpmbPfGGT94KORyuUTZEBHRQHQ5/TwKC8QfGgcPGwlf/wCJMuqaynbNuTy50g0RERERERHdAX797DNmG3PFxsXhnx98iKQxY/rs2nnZmaJtmUwGtatrn12PzDMYxXUDGxsbREfHSJQNERENRHq9Hps2bRLFFAoF5s+fL3rQytrodDpUV1eLYj6ciENERERERERW7JlnnjE74So2NhaffPIJxo0b12fXzsjIMIm5u7v32fXIPL1B3CBNJpMhJjZOomyIiGggMhgM2LV9KwRBaIvZ2tpi+uy5Vl0T0Ov1qK6uEsW8vFgTICIiIiKinrl48WKHY/Hx8b12HZVKhfDwcGRlZZmMXbp0qdeu05tubiR247NjSEiIRNncedici6gTBoMBv3rqlzC2W4F+ZGIi3vvXh0gY3LerzRqNRjQ01Iti3r5+fXpNMk9uYyPaVtmrJMqEiIgGoqamRhzat1sUc3ZWI3n8RIky6rrKcnFzLg8vL4kyISIiIiIiIuodKTt34Id160QxpVKJ3/3+D3j2N7/ttVWXOlJfVyfadnB0hIODY59ek0zZyMV1A3sHB4kyISKigergwYOorKwUxaZOnQo3K1/wq6KiQjR5SCaTwdubC3sQERERERGRdUpNTcW3334riikUCrzwwgv4/e9/Dzs7uz69fl27moCjoyOcnJz69JpkijUBIiKS2oljR1BZWSGKjR0/CW5u1t20s6qywmReJucTEBERERH1X9XV1aiqqkJ1dTWam5thZ2cHJycn+Pj4wMvLC3K5vE+vn5ub2+FYWFhYr14rNDTUbHOuoqIiNDc3w8HK7hE6Ojqivv7H3jQymQxqtVrCjO4sbM5F1InPPvkYp0+dEsV++dTTeO0vb8CmXbOmviCXy+GsdkFD/Y9FNV1LS59f19o0aVulTgHaFnEON3eOHKhc7K3jLaROo7/1TkRE/dzRA/vQ0u53AA8vb8CKV7m5obJS3JyLK90Q0Z3O2aFvGzFQ/9bQrJM6BQD8d0pERHQ7mpub8etnnhHF3NzdkbJnL2JiYvv02o4qBQDAx9sTCtsfi9c2MsDBztaqV8O9ExmF6w8QK22v14tsZYCTnULKlIioixpbpK89AvyZQbenpqYGhw4dMokHBQVJkE33lJaWirY9PDygUPD/B+rfrOVnurW8xxERERER3Sm0Wi2eeOIJUczV1RWHDh1CfHy8RXJo34TbYDBAEASL1QT4OeO69k1FOJeAiIgsqb6uDsePmNYE/AMCJcimeyorxHMJXFzd+ry5KRERERER9a5Dhw7hyJEjOH36NIqLizvcz8HBAbGxsRg1ahQmT56M4cOH93ouhYWFHY4FBwf36rU6ew6rqKgIkZGRvXq926VWq0XNuQDT+5rUc9bRWYXICpUUF+PPL/4/USwyKgp/fvU1izTmusE/IBCZNzXnKsjPw+BhIyx2fQIuXTiHivIy0WSnvu7aSUREdLP8K6bdnPPzcvDFR+8hfsgwDBk+Es5qly6fr7amGvl5uWior0OLVgsfP3/EDxnW6+9vTU2N0DQ3i2IeXt69eg0iIiIiIiIiS/rrqteRn39FFHvltVV93pjrZgHtir0aTTPKSkvg6+dvsRwGOp1Oh727d4tirBsQEZEl5eXlmZ0E+umnnyI4OBhjxoxBTExMl9+fDAYDsrOzUVpaivr6etja2mL06NHw9PTs7dRRVlYm2vbx4aIeREREREREZJ1WrVqF7OxsUewvf/mLxRpzAaYTwLRaLYqKihAYaP3NOO4Ura2t2LM7VRTjgilERGRJBVevmK0JrP7mS/gHBGJE4mhERnevJnAlNwcVFeVorK+H3MYGw0aMhIenV2+njvJ2NQFvb9YEiIiIiIj6m61bt3Zpv+bmZpw+fRqnT5/Ghx9+iLCwMDz44INYtmxZry3cV1RU1OFYbz+D1Nn5rLE516BBg3Dt2jXIZDLIZDIIgoDKykqp07pjsDkXUQf+8PxvTToD/uPd9yzenT0gKBiZly+2bV/5XyON7jTgoJ4rLyvFvtQUUUxhq8CgkDCJMiIiooHIy9sXBfl5JvGWlhacOXkcZ0+fRHhkFIaNGAVf/4AOH/wwGo04cfQQTh07AkEQ2uKXL15AduZlzJy7AE7O6l7Lu6rdSje2trZwcXXttfMTERERERERWdLlSxfxztt/F8WSx47DAz/5iUXzUKtd4OLiirq62rbYubOn2ZzLQgRBwPatW1BRLr7vERtruQZtREREfn5+HY4VFBSgoKAArq6uGD16NEaMGAGVStXh/uXl5Vi7di3K2723nTlzBrNnz8bIkSN7dcIpm3MRERERERFRf5CZmYm//OUvolhycjIeffRRi+ahVqvh7u6O6urqttjJkyfZnMtCBEHAju3bTBqLxLAmQEREFuTj23FNoLioEMVFhVCrXTBsRCIShg6Dvb19h/tXV1Viy4b1qGj3nH/6+TRMnDINw0Yk9mpNoLLddTy9udA3EREREdFAkZeXh5deegn//ve/8fLLLyM5Ofm2z1lRUdHhWG8vQujl1XED487ykEpERAQOHTokilVVVUmUzZ2HSzgTmZG6KwXr1qwRxe65735MnDzZ4rlERMWIOkEKRiPSz521eB4DUYtWi+2bfoDBoBfFZ86dD7ULm6MREZHlzJy7AIOHjYCDo6PZccFoRE5mBtb+92us+eZLZF6+KFodR9fSguzMy1j/3Tc4efSwqDHXDUXXCvDfr/6N7MzLvZZ3+0mqnl7eXV6Rh4iIiIiIiMiaGI1G/Oqpp6DX/3i/2NbWFu+8957FP+vKZDLEDxkqimVcughNc7NF8xiozp45g4vp6aKYj48PZs6cKVFGREQ0EPn7++Pee+9FUFBQh7+L1NbWIiUlBX//+9+xbds20cNWgiCgrKwM+/btwyeffGLSmAsA9Ho9tmzZgu+++w6NjY29kveN697M19e3V85NRERERERE1FsEQcATTzwBnU7XFrOxscGHH34oyfNvw4cPF22np6ejqanJ4nkMROfS0nDh3DlRzNPLC9NnsCZARESW4+XtgyXLVyIgsOOaQH19HQ7s241P3n8Xu3duR3VVZduYIAiorCjH0cMH8Z/PPzNpzAVcrwns2bUTG9etQVMv1gTazyfw8mJzLiIiIiKigaagoAAPP/ww3n77bbNzm7ujtra2wzGXXu7/4erq2qM8pJKUlGQSa2hoQGZmpgTZ3HlspU6AyNpoNBo89/TTopibmxte+8sbkuRjp1IhJn4wLqSdaYuln0/DqOTxsLXl/8J96dyZU6ivqxXFho8chZi4eGkSIiKiAcvewQGTp8/CpGkzUXjtKs6dPoX8vByzH0TLSkuQsnUTDu3bDTd3DwBASVERjEaDyb7taTUa7Ni8AdmZlzFp2kw4OjrdVt5V7Qp3HiymERERERERUT/1zddf48hh8WpCzzz7HGIlul88ZOhwHD9yqK05t16vx4VzaRidPFaSfAaK1tZW7N2zWxSzs7PDihUrRAutEBERWUJUVBSioqLQ3NyMM2fO4MSJE6ivrzfZT6fT4cSJEzh58iT8/Pzg4OCAqqoq1NTUdOk6GRkZuHr1KubOnYuEhATIZLIe51xXVwetViuK+fj49Ph8RERERERERH3hm2++wZ49e0Sx5557DkOGDJEknxEjRmD//v1tC4gYDAacPn0aEydOlCSfgUKv12PP7lRRTKFUYumy5VAqlRJlRUREA1VYeATCwiOg0WiQfi4NaWdOob6+zmS/Vn0r0s6eRtrZ0/Dx8YW9gyNqaqpRV9u1mkBuThaKPr2GKdNmIDZh8G3VBBobGqDRiBcZ82JNgIiIiIhuU0VFRZ+c19HREU5OtzefljomCAI+/PBDFBcX44033ujxIgjmno0CAAcHB9jY2NxOiiYcHR07HKurM/08JrWkpCSoVCq0tLSI4vv27UN0dLREWd052NmHqJ03Xn8NV67kiWIvv7YKXl5eEmUEDBk2UtScS6vRIDvjEmITpCnwDQSCIOBS+nlRzD8gEJOmTpcoIyIiIkAmkyEoOARBwSGoqa7G+bOncTn9HFpbW032bW5qQnMnq+PJ5HL4+QeguPCayVhuViaKrhVg/uJl8AsI7HG+lZXi5lyebM5FRERERERE/VBFeTn+74+/F8VCQkLxuz/8UaKMAEcnJ0TFxOLyxfS22Lmzp5GYNKbHBWu6tcyMy2hp11BkyZIl8PDwkCgjIiKi6w+XjR8/HsnJybh8+TKOHj2KoqIik/0EQUBxcXGn5/L09ERra6vJA2QajQbr1q1DZmYmli5d2uPfN8rKykTbKpUKarW6R+ciIiIiIiIi6gtVVVV47rnnRLHg4GD86U9/kiij65PAEhISkJaW1hY7efIkxo0b1+sTzuhHWZkZ0Go0otiChQvh6ekpUUZERESAvb09Ro1JxohRo5GTlYnTJ4+jpNi0JgAAZWWlnZ7Lzd0DRoMBdXW1orhWq8H2rZuQl5uDuQsX97gmUNFuoW+lQgkXF9cenYuIiIiI6Ia77rqrT8775JNP4qmnnuqTc/dXTk5OGDt2LOLj4xEZGYnQ0FCo1Wo4OzsDAGpra1FTU4OMjAycOHECBw8eRHl5eafn3LRpE5ycnHp8v1XT7n7dDfb29j06X2c6O2f7xQmtgYODA+bPn4+1a9dCJpNBJpNBEASsW7cOjzzyCBchvk1szkV0ky8//xx/e/OvotiY5LF48KGHpEnof9zNFHBys7PYnKsPFV67ioZ2KwhMnjaDBUwiIrIabu7umDRtBsaMm4CLF87h/NnTJu9dHXFWu2DWvIXwCwiEVqPBnl3bkZuVKdpHq9Fg++Yf8ODPfgFb2+5/bNDr9aiuqhLFPDyla3ZKRERERERE1BO1tbVYsnC+yWfcv73zDhwcHCTK6rqoaHFzrvr6OpSVlsDPP0DCrO5s526a+AQAoWFhiImJkSYZIiKidmxsbJCQkID4+HgUFhbi2LFjuHz5MoxGY5eOHzVqFGbNmgVbW1tkZmZi48aNaG4Wr2ifnp6OgIAAJCcn9yjH9s25fHx8IJPJenQuIiIiIiIiot5WV1eHOXPmoKKiQhR/77334OjoKFFW17VvztXQ0ICioiIEBwdLl9Qd7vy5c6LtQSEhiImNkygbIiIiMRsbG0THxiE6Ng7FRYU4c+oksjO7XhMYOmwEJk2bAYVCgbzcHOzcuhnNzeKFwTMzLsHH1w+jxvSsJlDZblK+p7c3awJERERERFbO3t4eCxYswNy5c5GYmNhpQycfHx/4+PggJiYGixcvRmtrKzZt2oSPP/4Y+fn5HR737bffYujQoVi8eHG382ttbTUb74seIJ3Nq+4oD6k9/PDD2LBhAwwGQ1vs2rVr+OKLL/Doo49KmFn/x+ZcRP/z7bff4qknHhfFbG1t8c5770m6ynx5WSmO7N9rErezs5Mgm4Ej86YJTcD1Bmm+fv4SZUNERNQxO5UKI0YlYdjIUcjLzkLamZMoKSo02U8ut0Fg8CCERkQgJm4wlEolAEBlb485C5YgO/My9u9OEa301tTYiCu52YiMju12XjXVVRDaFfc8vby7fR4iIiIiIiIiqTQ0NGDOnDkmDZmW3HUXZs6aLU1SAAwGA06fOI4jh/abjKlUKgkyGhjq6upwtd3DAkOHDZMkFyIios7IZDIEBQUhKCgIdXV1OHHiBE6fPm12xUYXFxdER0djyJAhCAwMbItHR0fjl7/8JbZt24aLFy+Kjjl16hTGjBnTowk0paWlom1fX99un4OIiIiIiIioLzQ2NmLevHk4efKkKL5kyRIsWLBAoqyu1wSOHz+OPXv2mIzZ29tLkNHA0NDQgCt5eaLYkKFDJcqGiIioc/4BgfAPCER93VScO3sa59POQqvVmOynVrsgLCISsXEJ8L+pJhAWHoGHfvYYdu/aiczL4prAubQzSEzqWU2gokLcnMuLcwmIiIiIep2rvRscjNIuNNtXmuXNt96JetUzzzyDKVOmQK1W9+h4hUKBu+66C3PnzsVLL72EDRs2dLjv66+/jokTJ8Ld3b1b19Dr9WbjnTXS6qn+2JwrPDwcDzzwAD7//HPIZDLIZDIIgoAPPvgAI0eOxIgRI6ROsd9icy4iAOvWrcODDz4IQRBE8T+9/Ari4hMkyclgMOD08aM4ceywSWMLABg6cpQEWQ0MBoMBebnZolhs/BB25yciIqsml8sRER2DiOgYVFVWoKKsFC0tLWjV6eDq5o7gkFAoO2juKZPJEBUTh8DgQdi09jtUlP+4cv3l9As9as5V1a6Y5qx2gR0nCBMREREREVE/0dzcjPnz5+PYsWOieFBQMN7829sSZQVUVpRjx5ZNKCsrNRkLDYuAm7uHBFkNDFmZmaJtO5UKUdExEmVDRETUNS4uLpgxYwYmTZqE/Px8NDQ0QKvVwsbGBqGhofDuZJV6R0dHLF++HJGRkaKH5aqqqlBYWIigoKBu51NWViba9vHx6fY5iIiIiIiIiHqbRqPBwoULcfjwYVE8ICAA7733nkRZARUVFfjhhx9QXFxsMhYeHg4vLy8JshoYsjIzRXNLlHZ2iImNkzAjIiKiW1O7uGDC5KlIGjsehdcK0NhQjxZtC+Q2NggKDoaXt0+HNQF7BwfMX7QEYeER2L5lY1u8rrYGRdeuITA4uNv5VLR7rsGLNQEiIiIiIqu2aNGiXjmPvb093njjDfj7++ODDz4wu09dXR0++OAD/N///V+3zn2j2VR75mK3q7NzWnPfkWeffRanTp3ChQsX2hp0aTQa/PznP8dnn32GoVyEoEfYnIsGvK1bt+Kee+6BwWAQxX/zu+fxq+d+LUlOgiBgx+YfkJeTbXZ8yPBEePtwBdm+cu1qPlrarRocyQk2RETUj3h4esHDs/sP3jg4OGLoiESk7tjaFiu4egVNTY1wdHTq1rlubvAFAJ5c6YaIiIiIiIj6Ca1Wi8WLF+PAgQOiuK+fHzbv2AEfX2nuzxcXFWLtf79Bq950tSWVyh6Tpk6TIKuBwWg04vKlS6JYVHR0n6y0RURE1BeUSiWioqJ6dOzQoUNx8OBBVFVVtcXOnTvX7eZcOp0O1dXVohibcxEREREREZHUWlpasHTpUuzdu1cU9/HxwZ49e+Dv7y9JXsXFxfjiiy+g0+lMxlQqFWbNmiVBVgODIAgmNYHIyEgoFAqJMiIiIuoepVKJsPCIHh0bG5+AE0cPo6qqsi12Mf1ct5tz6fV61NSIawJeXqwJEBERERENJM888wwKCgqwZcsWs+Nr167Fk08+CVdX1y6fU6FQoKWlxSSu1+t7mmaHOjunNd8rVCqV+OCDD/DAAw8gPz+/rUFXY2Mj7rvvPjz66KN44oknrPo1WCM+MU4DWmpqKu666y60toonsvzy6Wfw4p9f7pNrCoKASxfTkZmRAWe1GpGRUQgeNAhyubxtn4vn08w25nJ0ckJi0lgMHjaiT3IjIC8nGylbN4pi3j6+cFa7SJQRERGRZYVHxWD/7pS2348EoxGZly5ixKikbp2nqqJCtO3pzeZcREREREREZP10Oh2WL1+OXbt2ieKeXl7YvH0Hwnv4AOut1NXV4cTxY2hqbERQ8CBERkVBrVa3jbe2tmLH1s1mG3NFREZjwuQpcPfw7JPcBrqWlhZs2vADCq8ViOJR0dESZURERGRZMpkMQ4cOxZ49e9pi6enpmD17drcaVVZUVIhWlJTJZPBm7YCIiIiIiIgk1NraipUrV2LHjh2iuIeHB1JTU3vc6PpW6uvrcfToUdTX12PQoEGIjo6Gi8uPz6rr9XqsX7/ebGOu6OhoTJ8+HV5e3V+8k25Np9Nh88YNKLiaL4qzJkBERAOFTCZDXMIQHNz/Y00gOyMDU2fM7tbE7arKChiNRlHMg7+/EBEREVEvWLduXZ/cG3N0dOz1cxLw0ksv4dChQ6itrTUZ02g02LVrF5YvX97l83XUnKt9v5je0Nk5rb2xlZeXF/773//iF7/4BdLS0toadOn1enz44YfYvHkzVqxYgcWLF/P5rS5icy4asA4cOICFCxea/PD92c8fw6o3/gqZTNbr1ywtKcHOHTtQVHitLXby+HGo7O0RERmJQYMGwdbWFodvuoEFADK5HIlJyUhMGstV2PtQfl4utm1cJ3ogGAAiY+IkyoiIiMjylEolIqJicPnihbbY5YvnMTxxdJd/PxIEAZWV5aKYpyc/oBEREREREZF10+v1uPfee01WaHJzd8fmbdsRExPbJ9c8fuwYjhw62FbEvXTxInZu3wY//wBERkXBzc0V+fn5qKmuEh3r4eGJWfMWwM8/oNfzousEQcD3q1fjWsFVUVxlb4/Q0DCJsiIiIrK8oUOHYu/evW21dK1Wi4yMDCQkJHT5HKWlpaJtDw8Pq39QjYiIiIiIiO5cBoMBDz74IDZs2CCKu7q6YteuXd36zNudax47dgz79+9va7x18eJFbNu2Df7+/oiOjoa7uzvy8/NRWVkpOtbT0xOLFy9GYGBgr+dF1wmCgDXfrcbV/HxR3E6lQlgfLd5CRERkjWLjE3DowI81gRZdC7IzMxCXMLjL56goLxNtu7i6wc7OrlfzJCIiIqKBycvLCz4+PlKnQV3k7OyMRx99FG+++abZ8d27d3erOZeDgwMaGxtN4s3NzT3OsSNNTU0djllrM7fi4mLR9ptvvomPPvoIa9eubWvQJQgCCgsL8fbbb+Pdd99FbGws4uPjER8fD39/fzg5OcHJyQn29vZ9kqO/v3+fnLevscsPDUjHjh3DvHnzoNFoRPH7H/wJ/vaPd/qkMdeBfftw+NBBk8ZPAKDVaJB+/jzSz58HAOh0etH4vEV3IZQFnT53+MAek78f/8AgDB2RKFFGRERE0oiOTxA156qurERJUSH8A4O6dHxzcxM07T7MenixORcRERERERFZL4PBgIceegjr1q0TxdVqNTZu2YaEwUN6/Zo1NTX4fvV/UdVugs0NJcVFKCkuMjvm5x+AFfc+wAU9+lhWVqZJYy65XI658+dDqVRKlBUREZHlubi4IDQ0FHl5eW2xU6dOIT4+vsvPV5SViSfi8EFJIiIiIiIikorRaMRPf/pTrF69WhR3dnbGjh07MHz48F6/Zm1tLb755htUVFSYHS8uLjaZOHWDv78/Hn74YTa57mM5OdkmjbnkcjnmzZ/PZiJERDSgOKvVGBQShvwruW2x82lnEBuf0OWaQEW5eKFvb2/WBIiIiIiIBqqlS5firbfeMttn5ezZs906l6urK8rbfd4AAJ1OB51O16vP9nbWnMvV1bXXrtObpk6d2uHnNkEQ2hp03djW6/W4cOEC0tPTLZKfTCbDpUuXLHKt3iaXOgEiSztz5gxmz55t0hHxnnvuwXv/+hByee//b1FSXIxDBw+YfcO4ldj4wWzMZQGNDfWobjcBKiYuAYuWrYSNjY1EWREREUkjMGgQnNUuotjh/aZNLDtS2W6lG1tbW7i6ufVafkRERERERES9yWg04rHHHsM333wjijs6OmL79u0YPmJEn1x3T+quDhtzdcbGxgYz58xjYy4LyMvNFW2r7O1xz333IyYmVqKMiIiIpDN06FDRdn5+PrKzs7t8PJtzERERERERkTUQBAG//OUv8eWXX4riDg4O2Lp1K5KSkvrkurt27eqwMVdn5HI5Fi1axMZcFmCuJrDy3vsQExsnUUZERETSiUsYLNouKryG3OysLh9fWSGeLO/pzYW+iYiIiIgGKnd3d8TFmb/HVltbi5KSki6fq7OmWDU1Nd1NrVNVVVU9ykNqgiCYfLUfA2DSqMtSX/0Vm3PRgJKeno6ZM2eirq5OFF+yZAm+/PLLPmvCdOniRZOYm7s7fH39Oj3O3sEB4ydP65OcSOza1XzRtp1KhWmzObmJiIgGJplMhmEjR4lipSXFuJx+vkvHV7Z7iMjTy7vLq+QQERERERERWZIgCHj66afx2WefieIqlQpbtmzB2LFj++S6Wq0WOe2aWchkMoSEhsJOper02NHJ4+DpxQdXLSH/yhXRdvLYcRgUEiJNMkRERBKLi4uDWq0WxVJSUqDVam95rCAIJs25fH19ezU/IiIiIiIiolsRBAHPPfccPvzwQ1Hczs4OmzZtwoQJE/rkui0tLcjMzBTFZDIZwsLCYG9v3+mx48ePZ4NrC2lfE0gak4yQ0FCJsiEiIpJWZHQMXFxcRbH9e3dDo9Hc8lhBEFBRLm7O5cVnHIiIiIiIBrThw4d3OFZUVNTl83R2r7QniyN0prPmXNZ8z/ZG062bv9oz16Srr7/6O3adoQEjMzMT06ZNM/khOHfuXKxevRoKhQItLa29fl1BEHD58iVRLGHIEMydNx+2traoq6tDdlYWcnOy0dTYBL1BD1m9BmoXF0yYMh2qWxTcqHfkXxGvdBMYPAhyOfsXEhHRwDV42AicP3sadbU/dovevXMb8vNyMG7SVLi4unV4bFW7lW48WEwjIiIiIiIiKyQIAn73u9/h/fffF8WVSiU2bNiAyZMn99m1s7MyYTAY2rZtbGzw4EMPw8/fHwaDAQVXryIrKxMlxSXQ61uh1+vRohcQERWNMWPH91le9KOqqirUVFeLYmFhYRJlQ0REJD2FQoFp06bhhx9+aItVVlbi3XffxbRp0zB8+PAOa+x1dXUmTbys+SE1IiIiIiIiuvMIgoAXXngB//jHP0RxhUKB9evXY9q0vltQOysrC3q9vm1bLpfjkUceQWBg4PWaQEEBMjIyUFRUhNbW6zUBmUyGmJiYPq1V0I9qampQVVkpirEmQEREA5mtrS3GT5qCrZt+rAnU1lTj84//hXETJ2Hw0I5rAo0NDdBomkUxL9YEiIiIiIgGNHd39w7HampqOhxrLyAgoMOxkpISJCQkdCuvzhQXF3c4FhgY2GvX6Qs3Gm/11n63i825iPqJvLw8TJs2DeXtuq5PnToVa9euhVKp7LNrl5WWor6uThQbMyYZtrbX//dzcXFB4qhRSBw1qm28uObWXeSp97S2tiI/N0cUCx7EVW6IiGhgs7GxwbiJU7Bt03pRPDc7C1dyczE8cRRGJY+HQqEwObaioky07cnmXERERERERGSF/vSnP+Gtt94SxWxtbbFmzRrMmjWrT6+dlZkp2g4LD4efvz+A65/JQ8PCENpu0kedRg+ynMuXxAuvODo5wZsPDBMR0QA3ZMgQHD9+XPTwWXNzMzZv3oyTJ09i7ty5CA4ONjmurExcN1CpVFCr1X2eLxEREREREdENr776KlatWiWK2djYYPXq1Zg7d26fXjsjI0O0HR4e3jZ5y8bGBqGhoQgN5bPrUsq4fFm0be/gAB9fX4myISIisg7RsXE4c+oESoqL2mIaTTNSd27HuTOnMXXGbASaqQlUtFvoW6lQwsXFta/TJSIiIiIiK9ZZcy6Npuu9Vcw9l3RDfn5+d1K6pYKCArNxhUIBPz+/Xr1Wb7sTmmFZG/PtqYnuINeuXcPUqVNRVFQkio8fPx6bNm2Cvb19n16//eqvcrkcbp28eZDlXc3LFa1GJJPLERYZJWFGRERE1iEsMgrRsfEmcaPRgNMnjuGH776Bplm8qo1er0dNdbUoxuZcREREREREZG1WrVqFV155RRSTy+X49ttvsXDhwj6/fvvagaenV59fk7onM0M8ESc6JobFaiIiGvBkMhkWLFgAlUplMlZaWorPP/8cZ86cMRlr35zL19eX76tERERERERkMW+99RZefPFFUUwmk+Grr77C0qVL+/z67WsCXl6sCVib9gt2RMfEQC7ndCsiIhrYZDIZZsyeC5XKdO5lRUU5vv/v1zh39rTJWGW5uDmXp7c3awJERERERANca2trh2M2NjZdPk90dHSHY9nZ2d3K6VaysrLMxsPDw2Fra9ur1+pNgiBY5Vd/Z71/40S9oKSkBFOnTsXVq1dF8dGjR2Pr1q1wdHTs8xw8vbwgk8nafmAYjUbk5eUiOjqmz69NXZOTLV6NKDAwGA4Off9vg4iIyNrJZDJMnzMffgGBOHb4ALTtOlCXlZZg7X+/xqJld0P9v9VsaqqrIBiNov08OMGYiIiIiIiIrMg//vEP/PGPfxTFZDIZvvjiCyxfvtwiOXh5e+PqTSs05eRkY8q0aRa5Nt1adXU1ykpLRbHY2DiJsiEiIrIufn5++PnPf46UlBRkZIhr7YIgYNOmTWhoaMDEiRPbJtuUtntf9fHxsVi+RERERERENLC99957+O1vf2sS/+yzz3DvvfdaJAdvb2/k5ua2bWdlZWHGjBlsUmElampqUFpSLIqxJkBERHSdl7cP7nvoERzcuwdZmeIFrgRBQOrO7WhsbMTY8T/WBMrLxQt2eHuzJkBERERENNBVV1d3OGZvb9oQuCNRUVFQKBRmm31dateA/3ZUV1ebPO90Q1yc9d47XLJkidQp3LHYnIvuWBUVFZg+fTpycnJE8WHDhmHHjh1Qq9UWycPJyQlBwYNQcDW/LZaVmcnmXFaitbUV+bnifyPhUR13zCQiIuqvtBoN6mprUFdXC1tbBQaFhnWpo7RcLsfgYSMQGR2LE0cP43zaaVHzrdqaaqz59issvOtueHn7oKpCvNKNs9oFdipVr78eIiIiIiIiop746KOP8Oyzz5qNP/DAAxbLIzY2DqdOnGjbrigvR3V1Ndzd3S2WA3XscrsCvYOjI4KCgyXKhoiIqG8YDAbU1dWhuroaTU1NCAwMhIeHR5eOdXd3x8qVK5GXl4cdO3agvFxcG9i7dy8aGhowd+5cyOVylJWJJ+KwORcRERERERFZwqeffoqnnnrKJP7+++/j4Ycftlge8fHxOHr0aNt2ZWUlqqqq4OnpabEcqGOZ7ZqP2zs4YFBIiDTJEBER9RGj0Yi6ulrU1tRA09QEX39/uHt07XcRV1c3LFhyFwqu5mNfagoq2s0XOHb4IJobGzFt1hzI5XJUtmvO5ent3Wuvg4iIiIiI+qeOGl0B6NZ9UqVSifj4eKSlpZmM5eTkoKamBm5ubj1JUeTkyZMdjg0fPvy2z99XVq1aJXUKdyw256I7UnV1NWbMmGHS3TAuLg4pKSm98gO1OyIiI0XNuWqqayx6fepYwZU8UWdMmUzG5lxERGQVBEFATXU1KspLUVlehsqKCtRUVUIml8NZrYaTkzOcnJ3h5KyGTCaDIAiiL632f824ampQV1uDlpYW0fk9vbwxa94iuHfxg6vK3h4Tp05H3OAh2LJ+DRoa6tvGmpuasH71fzBvyTJUtCumebGYRkRERERERFbiyy+/xOOPP24Sf/fdd/Hoo49aNJfAoCCo7O2h1WjaYjU1bM5lLTIvi1f8jY6JgVwulygbIiKiH7W0tKC4uBhlZWUoLS1FaWkpmpqa4OjoCBcXF6jVaqjVatjb24tqBkajUdSMq7q6GnV1dTDetBiHXC7HxIkTMXHixC6/74WFheHxxx/Hnj17cOjQIdHYqVOn0NTUhAULFpisfunr63v73wwiIiIiIiKiTvznP//Bz3/+c5P43/72NzzxxBMWzSUgIACOjo5oampqi7E5l/Vov2BHVHQ0awJERGQVdDodykpLUF5WhoryUlSUlaG5uRkODg5wcr5eD3ByVkNlrxLPJTAKMBgMaKivQ21tLWpra1BfVyuqCchkMiSNHY/kcRO6/L4XPCgE9z/8Mxw9dADHjohrAufPnUVTUxNmz1+ImhpxTcDLiwt2EBERERENdMePH+9wLDAwsFvnGjNmjNnmXIIg4OjRo5g7d2530zNx+PDhDseSk5Nv+/zU/7A5F91x6urqMHv2bJw7d04Uj4yMxO7du+Hl5WXxnFxdXUTbtbU1MBgMsLGxsXguJHb54gXRdkBQMBwcHCXKhoiI6Lr6ulqkbNuMkqLCDsdvV2VFOVZ//TnGT5mKwUNHQCaTdek4Ty9vLLv3AWxc9x2qKyvb4jqdDlt/WAu1i6tofw8vNuciIiIiIiIi6X333Xd45JFHTOJvvPEGnnrqKYvnI5PJ4OriitKbmnNVVVYhPDzC4rmQWHlZGUpLS0SxmJhYibIhIiK6ThAEnDhxAnv27DFZjAMAGhoaOl1hsiuMRiP27duHvLw8LF26FK6url06Ti6XY/r06VCr1di+fTsEQWgbu3z5MrRarSgmk8kkeW6DiIiIiIiIBo61a9fiJz/5iejzKAC8+uqreO655yyej0wmg6urq6g5V2VlJaKjuaC01CoqKlBSXCSKxcSyJkBERNJLO3MKh/btRYvOtCbQ2NiA8nYLaneXIAg4dvggrl7Jw9yFi+Hq6tal4+RyOcZNnAwnZ2fsTtkh+n0rNycLm9avETUBAwAP1gSIiIiIiAa0nJwcFBcXmx0LCAjo9sLGEyZMwIcffmh2bMeOHbfdnMtgMCA1NdXsWGhoKIKCgm7r/NQ/sTkX3VEaGxsxb948nDx5UhQPCQnB7t27JVt91aVdk4rGhgZs/GE9oqKjYWtrCxtbWyhsFXB0cuIKOBZUWVGOK7nZolh4FIucREQkrZKiQmzduA6a5uY+v5bBoMf+1BQUF17DzLkLu7zqjZOzGstWPoAtG9aiuPBaW7ylpQXHDh1AeFR0W7MvT0825yIiIiIiIiJpbdiwAffdd5/JA6AvvfQSfve730mUFaB2UYuaQO3fuwc2Njawt1fBxtYWtv+rHfj4+sLOzk6yPAeaw4cOirYdHB0xKCREmmSIiIhw/YGvbdu24fTp0xa5XkFBAf71r3/h3nvvxaBBg7p83OjRo+Ho6Ij169fDYDC0xQ8fPgw7Ozt4eHgAADw8PKBQKHo9byIiIiIiIiIA2Lx5M+655x6TmsALL7yAF154QaKsABcXFxQV/dgEat++fVAoFHBwcIDtjZqAQgEfHx+oVCrJ8hxojhw+JNpW2dsjJCRUomyIiIiuL6SxNzUFaWdOWeR6JcVF+M+/P8WiZSsQFNz1msDQ4SPh4OCIbZs3QK/Xt8VPnzwOhUIJt/9Nrnd1c+fzDkREREREA9xnn33W4VhiYmK3zzdy5Ej4+/ubbfi1d+9eVFVVtT2n1BM3zmHO/Pnze3xe6t/YnIvuGBqNBgsXLsThw4dF8cDAQOzZs0fSDoS+fn5w9/BA9U0/hDMuX0bG5csm+4ZHRGDsjIWwsbGxZIoD0slj4n8rdioVYmITJMqGiIgIyLx8Ebt3bIPBoL/1zj0gk8uhVCjQ0iJeQSc74zL8A4MwZNjILp/LTqXComUrsWPzhrZml606HaqqKuBY7AS/gEAAgKc3m3MRERERERGRdLZv344VK1aIGkQAwPPPP48XX3xRoqyui09IQFZmZtt2a2srdm7fZrKfra0t7lqxAp7+IRbMbmCqqKgwqd0kJo7qckNzIiKi3qbRaLBmzRrk5eX12TVUKhV0Op1o0nJLSwvWrl2Lp59+uluNtOLj4+Ho6IhvvvkGra2tAK4vspafn49Ro0ZBoVBItqgaERERERER3flSUlKwbNkyUYMIAHjuuefwyiuvSJTVdYMHD8alS5fatltbW7Ftm2lNwMbGBnfffTeioqIsmd6AVFVVhUvp6aLYyJGJnMdBRESS0Wq12LJhPa7m911NwM5OhdbWdjUBXQu2bFiPnz7+SyiVyi6fKzI6BnfZ34sf1qyGrlUHAGhqbEJVZT6GDh8JhVIBLy/OJSAiIiIiGshycnKwcePGDsdnzpzZ7XPKZDIsXLgQH374ocmYTqfDV199hWeffbbb573h008/7fS6NDCxORfdEXQ6HZYuXYq9e/eK4j4+Pti9ezdCQ6VdvUQmk2HR4iX4z9dfoVWn63Tf3JwchCcUwz9QumZiA0FVZQVyszJFsWEjRkHJbvxERCSRMyeP4/D+PSZxlb09fP0C4OnlBU9vHwBAY0MDGurr0dhYj+amJgDXf9+Qy+WQQQbIZFAobKF2cYWLmxtcXd2gdnGFs9oFRqMRRw7sw/mz4tV0Th87iriEobC17fpHBFtbW8ycuwDffvkZGurrUF5WAgC4VnAVLq5ucHF1hYurW0+/JURERERERES3Ze/evVi6dGlbY4gbnn76aaxatQoymUyizK6LiY1DwpBspJ8/3+l+er0eRw8fwYLlIZZJbAA7cvgQBEFo21ba2SFx9GgJMyIiooGssbERX3zxBSorK03G/Pz84OvrC19fX7i5uaGxsRH19fWoq6tDfX09dDrd9ZqBTPZj/UAmg5OTE9zd3eHm5gZ3d3e4u7vD3t4ehYWFWLduHWpqatqu0dDQgDNnziApKalbeYeEhGDmzJnYunUr9Ho9ysvLodfrkZWVhbi4OPj4+Nz294aIiIiIiIiovQMHDmDx4sXQtXtW/xe/+AXeeust6WsCMTEYPnw4zp492+l+BoMBBw8eZHMuC2hfE1AolRjVzfsgREREvaW5qQnff/s1qqpMawI+Pr7w8vGBp5cP3Nzc0NzchPr6ejTW16O+vh6treKagEx2/c8Ojg5wdXOHq6sbXN3c4Op2vSZQUlyEbZs3oram+sfrNzfh/NkzSEwa0628A4ODMXn6DKRsv14TqKwoh17firzcbETHxMGLNQEiIiIiogGrrq4OTz75pMkCyzd4e3tj4sSJPTr3vffei88++8zkGXEA+OKLL7BixQoEBAR0+7zbtm3r8B7u1KlTERwc3O1z0p2BzbnojvDaa69hx44dopiHhwdSU1OtpjDl5++PJXfdhbXffSfqLm+Oyt7BQlkNXKeOHREV0+zs7DB0RKKEGRER0UB29Uqu2cZcQYNCMWfBYtipVL12LRsbG0yaNgP+gYHYsXlDW7yxsQEnjx3GmHETu/UgktLODjPmzMcP33+L1lY9ZJBBqVTCaDQgLCJK8oeaiIiIiIiIaGCqrq7GihUroNVqRfFHH30U//jHP6zi86pMJsO8+QvQ2NCA/CtXOt3XwcHeQlkNXFVVVbiUni6KjRo1GqpevC9DRETUVUajEWvXrjVpzGVra4slS5YgPj6+V68XGBiIxx9/HN988w0KCgra4jcmA7u5dW8hjsTERGRmZuLs2bOwtbWFXq+HQqGATCZDTExMr+ZOREREREREVFtbi+XLl0Oj0YjiDz/8MN577z2rqQnMnz8f9fX1yM3N7XRfBwfOJehrNTU1uHjhgiiWmDiK33siIpKE0WjEts0bTBpz2draYtbcBYiJ692agJ9/AB54+Gf4Yc1qFF77sSZw8vhRhEdGws3do1vnSxgyDLnZ2TifdgY2tjbQ61uhsFVAEARERFrHvE4iIiIiIurYxx9/jHvvvRdOTk69ds66ujr88pe/xJVOno/+6U9/CqVS2aPz+/j4YMmSJfj+++9NxrRaLX7zm9/gq6++gkKh6PI5i4uL8ec//7nD8ccee6xHudKdQS51AkS3Kz8/H3/9619FMVdXV+zatQsJCQkSZWVeREQkVqy8B5FRUfAPCDT7wzx+8GC4e3TvJhZ1T31dLbIzL4tiQ0Yk9mrjEyIioq5qqK9DyrbNJvHBw0Zg4V0r+uz9KTI6FgFB4i7Np44dwaZ136OxsaFb5woICkZoeASamxoRFhmNqJg41DfUI3HMuN5MmYiIiIiIiKjLXnrpJZNmFg888AA+/PBDq5iEc4ONjQ2WrbgbY5LHIih4kNn6gI2NDcaNnyBBdgPLiePHRIt6KJRKjEpKkjAjIiIayPbt24f8/HxRzMnJCQ8//HCvN+a6wc7ODtOnTxfFGhsb8a9//QtnzpwRvU/eikwmw6JFi1BdXQ0XFxeMHj0aarUaPj4+8PLy6u3UiYiIiIiIaIB7+eWXUV5eLordc889+OSTTyCXW8+UGRsbG6xcuRLjx4/HoEGD4OnpaXafyZMnWz65AebkieOiBdcVCgVGjxkjYUZERDSQHTtyCFfzxRPWHRwcsXzl/b3emOsGpVKJCZOnimLNzU34+t+f4nxa92sCM2bPRV1tLZyc1Bg+chScXVzg6eUFL2+f3k6diIiIiIh62d/+9jdMmzYNH3zwAaqrq2/7fOfOncOSJUtw8uTJDvcJDw/Hfffdd1vXeeaZZzpsKHbmzBk899xz0Ol0XTpXaWkpHn74YdTW1podX7hwIYYOHdrTVOkOYCt1AkS36ze/+Q20Wm3bto2NDbZt24bhw4dLmFXHwsLDERYejqLCQnz95ReiMRdXV8yaPQfVmo5vYAmCgIryMlRVlMNOZY+gQSHd6tjYHc4OPes0ae0uXjgnnmCjUGDYiFESZkTUe1zsreOtvU6jlzoFon7BYDBgx5aN0LZbsW/MuIkYldz3ja2Sxk7A+u++EcUK8vPw7RefYvykqXB0coJOp0N1VSXKSkpQUV4KuUyOoSNHYeiIRNjY2LQdFxkTh4CgYLi6uQMA3Nw92HCUiIis5nNlQ3PXbqb2NWv5fhAREd3p0tPT8cEHH4hic+fOxb///W+rmoRzg1KpxNTp0yEIAtavXYPqqirR+OSp0+Dj69vpPTeNRoOiawXQ6XTw9vGBp5d3X6d9R2lpaUH6hQuiWGLiKDg4OEiUERH1JSe7vqmtEvWWnJwcHDx4UBRzcXHBI488AhcXlz69dnBwMMLDw5Gbm9sW0+l02LRpEzIzM5GUlITW1lY0NjaiuLgYRUVFqKmpQVBQEGbOnAlv7x9/B3F2dkZ0dDQaGhqgUCigUqkwZMiQPs2fiIiIiIiIBp7Lly/jn//8pyg2c+ZMfPnll6Ln26yFQqHA9P/VBNauXWuy0MjUqVPh5+fX6Tm0Wi3y8/Oh0+ng4+MDH587v+lFbz6XrNPpcPJ0Glr0Pzbnih8+DHq53S2vYy3PaTe2tEqdAhH1U9byc4zzTX50Nf8Kjh0W1wScnJyx8oGfwMXFtU+v7R8QiNCwCFzJy2mLtepbsWvHNuRmZ2PEqNHQt7aiqakRZSUlKCstQW1NDXz9AzBp6jRR4y1HJyeER0ahvq4OCqUCdnYqxMQl9Gn+RERE1L/19HfCei1/l6T+Jzc3F1euXLn1jgDy8vI6HDt9+jQaGhq6dJ64uDj4+/t3aV8AqK2txTvvvIP3338fY8aMwezZszF58uQuL8InCAJOnz6Nzz77DHv37u204a+dnR3efPPN2+6R4unpid/+9rf405/+ZHY8JSUFd999N1566aUOG2sJgoDNmzdj1apVHTYmc3d3x+9+97vbytVSSkpK4OXlBVtb6/j8fyfhd5T6tb1792LdunWi2BNPPIHk5GSJMuqalpYWbNzwg2i1FblcjkWLl0ClUgHtGnQAQHlZKU4dP4LCgqtouakZmZ1KhbiEIUgYOrytGQZ1zGAw4NKFc6JYbMIQqOztJcqIiIgGKqPRiL0p21FaXCSKh0VEInHMWIvkEBAUjKSxE3D8iLig16LVYvfObR0ed3j/HmRcuoAp02fDLyAQAFBaXCz6XcTNnb+XEBERERERkeUJgoBf/epXMBgMbTGVSoUPPvjA6guNaWfPIjMjQxQLDQvD6KQks/vr9XqcPXUSmRmXUF5WKipkBwYFY8iwEYiKibXKyUfW5mJ6OlpvWh1LJpNh5Cgu6kFERJZXUlKCdevWid7X5XI5li1b1ueNuW5YtGgRvvjiC5MHzjIzM5GZmWn2mJycHOTl5SE5ORmTJk2CUqmEIAjQarVtD9LJ5XJ4enr2ef5EREREREQ0cAiCgGeffRZ6/Y+TMpVKJT744IM+W/y6t6SlpeHixYuiWGhoKMaONf/soMFgwIkTJ3DhwgWUlJSI7h0EBwcjMTERcXFxVl8LsQZZGZfQ0vLjfAyZTIbhiawJEBGR5ZWXlWLrxh9MagLzFy3t88ZcN8ycMw/f//c/qKkWLyKWl5uNvNxss8dczc/Df77Ix4jE0UgeP7GtJqDRNEOhvP47mEwugwdrAkREREREAIBt27bhvffeu+3zvPPOO13ed9WqVVi6dGm3r6HX63Ho0CEcOnQIAODl5YWYmBhERUXBzc0NarUazs7OEAQBtbW1qKmpQUZGBk6ePIna2tpbnt/GxgZ/+ctfEB8f3+3czFm5ciWOHj2KHTt2mB2/dOkSVqxYgSFDhmDcuHEICQmBSqVCQ0MDMjMzsWfPHhQVFZk9Frh+7/CNN97ocpMyqa1btw7//e9/cdddd2H58uUICgqSOqU7Bu+8U7+l1+vxzDPPiGIeHh7485//LFFGXZeycwdqa2pEsXHjJyCwgx9uV3JzsHXjOgg3NfO6oUWrxdlTJ3D21AkEh4RhzPiJ8PHtfLWcgSw/NwfNDTdUdAABAABJREFUTU2iWPyQYdIkQ0REA5bBYEDKtk3IyRRPuFW7uGLarHmQyWQWy2X02PHw9fdH6o6taGps7PJxVRUVWPvfrxEZEwsbuQ0yLqWLxh0cHXs7VSIiIiIiIqJb2rBhA3bv3i2K/e53v8OgQYMkyqhrKisrkZqyUxSzd3DA/IWLzN4n0Ov12LD2O1zNN7+SVuG1AhReK8C+3bswbGQiRiUlc0JOBwRBQNqZM6JYRGQk1Gq1RBkREdFAVVBQgG+++QYtLS2i+IwZMyz6oJRarcZjjz2GnTt34ky798jOGI1GHD58GOnp6YiKikJJSYnJPs7Ozr2ZKhEREREREQ1wW7Zswc6d4nvrv/71rxEeHi5RRl1TVVWF7du3i2L29vZYsmSJ2ZqAwWDAf//7X+Tk5Jg9X0FBAQoKCrBz506MGjUK48aNs/rmZFI6d1Z8vyMkNNxiDVCIiIhuKC4qxPrvV4saRgLAuAmTEWDBmoCTszPuf+inOLAnFefSulcTOHXiGDIvX0J4ZBTKy0pN9nF0curNVImIiIiISAIVFRWoqKjAwYMHb/tcdnZ2+Mtf/oK5c+f2QmY/euONN1BdXY0TJ050uM/58+dx/vz5bp/7pZdewsSJE28nPYurqqrCJ598gk8//RTJyclYuXIlpk6dysWeb5Nc6gSIemrnzp24cOGCKPbqq6/Czc1Nooy65mL6BVw4d04UCwwKxrgJE8zuX1JUiB2bfzDbmKu9gvw8rPnmSxzYkwpduwd26bpL6eI3TV//AHh6eUuUDRERDTR6vR6lxUXYumGdSWMuudwGsxcshsre3uJ5BYeE4d6f/AwR0THdPjY747JJYy4A8OD7KxEREREREUngzTffFG0HBgbi+eeflyibrtHr9dj0ww9obW0VxecvXGi2gYXRaMSOLZs6bMx1s+bmJhw5uB9ffvZxl/YfiMrLylBaKm4eMnzkSImyISKigai+vh5paWn4+uuvTRpzxcTEYMyYMRbPyc7ODgsXLsQ999wDx24uxlFXV4eTJ0+isLBQFLexsYGHh0dvpklEREREREQDXPuagJ+fH/74xz9KlE3X6PV6rFu3DjqdThRfuHCh2UUjBEHAhg0bOmzMdbOmpibs27cPH3zwAXJzc3st5ztJZUU5SkuKRbGhw0dIlA0REQ1EjQ0NuHThPNat/takMVdYeCRGjUm2eE5KpRLTZ8/FkmV3w9Gxew21GhrqkXbmFIqLTGsC7h6evZkmERERERH1YyEhIfjmm296vTEXAKhUKnz44YeYMmVKr51ToVDg1VdfxcqVK3vtnJYkCAKMRiOOHDmCp59+GpMnT8Y777yD4uLiWx9MZnGJbOq3Tp06JdqOi4vDo48+KlE2XVNRUYFtW7eKYko7OyxcvBhyuWmvvOrKSmz+YQ30er3JmJOTMxobG0zigiDg3JmTyM3KwMRpMxEeGdV7L+AOUFEu7sQfP3ioRJkQEdGdThAE1NXWoLSkGGUlJSgrKUJFeTmMRoPJvjY2tpizcAl8fP0kyPQ6lb09Zs9fjKyISzh/5hSqqyqhUCqhVNrB3sEB3j6+cPfwxLmzp1BVUdHpuXz9/DEiMclCmRMRERERERFdZzAYcPr0aVFs1apVcHBwkCijrtmVstOkOdSIxEREmrm/LwgC9qamIDPjksmYra0tFAolNJpmk7HammqsXf0NYuMTMHnqDDh0s8nGnaz9995ZrUZYWLhE2RAR0Z1Op9OhuLgYRUVFKCwsRFFREerr683uGxYWhqVLl0Imk1k4yx9FR0fjiSeewO7du5GVlQWj0QilUgk7Ozt4enoiICAAzc3NOHr0KAwG0/rHDXK5HAsXLoSdnZ0FsyciIiIiIqI7mdFoNKkJvPbaa3By6l5DCUtLSUkxmQA1cuRIxMbGmuwrCILZBc2B6zUBpVKJ5mbTmkBNTQ2+/vprDB48GLNmzbL674kllZeK5xI4OTkjNDxComyIiOhOp9PpUF5aipLiIpSWFKOkuAgNDeZrAkHBgzB34WJJawJhEZF48JFHcfjAPuTmZMNgMMDOzg5KpRLuHp7w9fNHS4sWJ4/fuiYwfdYcqFQqC2ZPRERERETWSK1W4yc/+QkeffTRPn1uyNHRER988AE++eQTfPDBB9Bqtbc+qAPh4eF4/fXXMWzYsN5L0MJufLYUBAHA9T43H374IT7++GOMHz8ed999NyZPnmy2xw2Zx+Zc1G9lZGSItqdPnw4bGxuJsrk1nU6HH9atRWu7VW7mzJ0LV1dXk/0b6uuwce1qtLT7wR8VE4exEyfDWe2CmupqpJ87g8sXL5js19jYgG0b1yEsIhITp86As9ql119Tf2M0Gk0KkJ7ePhJlQ0RE/Z2muRlXcrPR3NR0vYuwYIQgCDDo9aiqrERZaTG0Gs0tz6NQKDBvyTIEBYf0fdK3IJPJEB0bj+jY+A73iU0YgnNnTuH44QNobW01GY+JS8CUmXNga8uPGkRERERERGRZ+fn5JivNz5o1S6JsuubC+XM4227ykKeXF6ZNn2F2/+NHDiPtjHjxEqVCiXmLliA4JBQymQzZmRk4n3YG1wqumhx/+WI6ruTmYuKUqUgYMkzSB3utRWNjk2jb29ubxWYiIuoRQRBw7do1FBYWwmAwwGg0tq1C2NTUhMLCQpSXl7c99NSZ6OhoLF++3CrutTs6OmLhwoWd7jNs2DBs3boVV65cMRlzcHDA8uXLERoa2lcpEhERERER0QBUWFho8ly41dcELlzAiRMnRDFPT88O8z58+DCOHTsmiimVSixduhQRERGQyWTIyMjAqVOnzH4mv3DhArKzszFjxgwMHz6c974BNDWJawIenp78vhARUY8IgoCSoiKUFBdBr9e3zSUQjEY0NzWhtKQYlZUVMBqNtzxXaFgEFiy5CwqFwgKZd87B0REz5syD+ScWrotLGIzdKTtwNd/09w+Vyh7zFy/FoBDWBIiIiIiI+ovU1FQcP34cx48fx6lTp0wWF+iJhIQELF68GIsXL4azs3MvZHlrcrkcjz32GObNm4ePP/4YGzdu7FaTruDgYPzkJz/B3XffbRWfz3rDzc+JC4IAg8GAAwcO4MCBA/D29sby5cuxbNky+Pr6Sphl/yD9U3xEPZSZmSnajo6OliiTrtmxfRsqKypEsSHDhiE+YbDJvlqNBpvWfY/GxgZRfFBoOKbPmd/WhMzN3R0TpkzHmPGTkHbqBE4eOwKDQS86Ji8nG/l5eYhNGIwRo5Lg6ubey6+s/9BomiG0u6np4OgoUTZERNRfVVdWIu3MSWRcTDd53+0uOzs7LFi6An4Bgb2UXd+Ty+UYnjgaEVHRuJR+HjXVVXBwcIKzWo2AoGB4+/BDGBEREREREUmjfd3Azc0Nnp6eEmVza5WVldixbZsoplAosGSp+YduL5w7i8MH94liNjY2WHjXctGDrTFx8YiJi0dZaQn27NqJ4qJC0TFarQYp27fi9InjGDUmGTFxCVa9+Elfa1+LcXRykigTIiLqrwwGA9LT03H06FGUlpbe9vkSEhKwZMmSfvX+7OnpiQcffBAZGRnIzs6G0WiEi4sL3N3dERMT06crXxIREREREdHA1L4m4OTkBD8/P4myubWqqips2rRJFLO1tcWyZcugVCpN9k9LS0NqaqooJpfLsWLFCkRERLTF4uPjER8fj7KyMmzduhUFBQWiY7RaLTZv3oyjR49i3LhxGDJkSL+659Db2tcEOJeAiIi6y2AwIPPyJZw5eRxlZbdfE4iKjsXchYv71fuzm7sH7rr7XuRmZ+FKbg4MRgOc1S5wc3VDeFQ0awJERERERO089dRTeOqpp6ROo0NBQUEICgrCsmXLAADV1dXIyMhARkYGrl69itLSUpSUlKC6uhparRZarRYGgwFKpRIODg7w9PSEn58fIiIiEB8fj6SkJEmf3w4MDMTLL7+M3/72tzh48CCOHTuGrKwsXLt2DY2NjWhtbYW9vT1cXV0RFhaG+Ph4TJo0CUOHDr3jGvnfWERSJpO1Neq6ESsrK8P777+Pf/3rX5g4cSJWrlyJiRMncuHnDrA5F/VLRqPRpKAWExMjUTa31tDQgPTz50Uxbx8fzJo9x2TfyspKbF6/FtVVlaK4r58/5iw0/wCuQqHAqORxiIyJxb7UFFy7Ku48bzQacPF8Gi5dOIfwqGiMHJ08IBtnmHsjuJqXi/ghwyyfDBERWT1BEKDVaNDY2IDGhgY0NNThSk4OCvLzbuu8MpkMbu4e8A8MwohRSXBxdeuljC3LWe2CpLETpE6DiIiIiIiIqE1GRoZoOyYmxqoLhKdPnURra6soNmfePHh5e4tiRqMRZ8+cwa4d4kZeMpkMs+ct7HDFWR9fP6y8/yc4n3YGB/ftRUuLePWnqqpK7Ni6GUcOHsDI0UlIGDLM7ASgO137fyNX8/PR2tp6x6x6RUREvUuv16OhoQH19fWor69HRUUFzpw5g8bGxts6r52dHQICAjB48OB++6CXTCZDbGwsYmNjpU6FiIiIiIiIBoD+VhM4edK0JjB//nz4+oqf6TcajThz5gy2tVvcAwAWL14sasx1Mx8fHzz88MM4e/YsUlJSoNWKawKVlZXYuHEj9u7di7Fjx2LEiBGsCQAoLChgTYCIiDqk1+uvzyWob0BDQz2qq6uQfi7NpNljd9kp7eDr74/o2DjED+6/NYGIqGhEREVLnQoREREREfUyd3d3jB07FmPHjpU6ldvi7OyMuXPnYu7cuVKnYjGO/1uMQBAEsw25bo7diBsMBuzbtw/79u2Dn58fli9fjrvuugve7Z5nH+jYnIv6paKiIjQ3N4ti0dHWezPHXKHPx9cXtrY//i9YW1uLQwcP4MK5c6jXiAtvbu4emL9k+S2LPq5u7li07G5kZVzCwb2p0LT7HgmCgJzMDORkZiA4JAyJSckICAq+jVfWvzg4OMLDywtVFRVtsaOH9iMyJm5AFheJiEisRatFVsYl5GZnob6uFo0NDTAY9Ld9XnsHB/j6BcDH1w++/v7w9vGDnUrVCxkTERERERER0c3aL+phzXWDjoSEhrX9WRAEXLqYjgP796OmurqtMHrD5GkzEBMX3+n5ZDIZhg4fiYjIaOzdvQuZly+a7FNfX4e9qSk4dvgQhieOwrARibC3t++dF9QPhISG4tSJE23bdbW1OHH8OMaNHy9hVkREZA0EQUBJSQnS0tJw7do11NfXo6mp6bbPK5fL4ePjg4CAAAQGBiIgIACenp5WPYGYiIiIiIiIyNrcCTWB8PDwtj8LgoCLFy9i7969qKqqMtl31qxZGDJkSKfnk8lkGDFiBKKiopCSkoLz7RYXB4D6+nrs2LED+/fvR1JSEpKSkgZUTSA4JBSnTx5v225oqMepE8eQPI4LlRIREVBWWoL08+dQUlSIhoYGNDf3Tk3A09MLfv4B8PX3h59/ANw9WBMgIiIiIiKi3vfwww8jKSkJq1evxpYtW9p68rRvyHUj1r55V3FxMd599128//77mDJlCu6++26M5/PUANici/qp9sU0Jycn+Pv7S5TNrTk5OcHdwwPVNxXKLpw7h4b6ekRFx6CysgLnzp6FwWAwc6wzFi27G/YODl26lkwmQ3RsPAaFhOH4kYNIP5cGo9H0vAX5eSjIz0N4VDQmTp0BJydnANdX29FomlFbXY2qyoq2LxsbGwxPTEJIWLjJufqT8ZOmYuPa79q2Nc3NuHolF5HRXL2XiGggEgQBxYXXcOnCOeRkZUCv714zLplcjsCgQVAobK9/EJHLIZPJ4OjoBB8/f/j6+cNZ7cLiGREREREREZEF9LeJOMHBwTh98qQo9uEH7yMxcRQcHB1x/lwaysvKzB6blDwOIxJHd/lajk5OmL9oCeIHD8HBvbtRUVFuso9G04wjB/fj7KmTmDxtBmLjE9ruaeh0OjQ21KOyogIVFeWoqqhAfX0d/Pz8MXbi5H49cScyMgrBg0JQcDW/LXbh/Dk25yIiGsCam5tx4cIFnDlzBmUdvBd3xs3NDd7e3pDJZJD/r26gUCjg7e2NwMBA+Pn53XJhLiIiIiIiIiLqXPuaQExMjESZdE1ISAiOHTsmiv3zn//E6NGj4ezsjLNnz6K0tNTssWPHjkVycnKXr+Xk5ISlS5di6NCh2LVrl9nzajQa7Nu3D8ePH8esWbMwdOjQtppAa2sr6urqUF5ejquFxSgvL0NdXT38/P0wecrUfl0TCA0LN6kJXLxwns25iIgGMI1Gg8sXL+Di+XMoL+9+TcDF1Q2enl6imoCNrQ28vHzg6+cPH9YEiIiIiIiIyILi4uLw8ssv4/e//z02bdqE77//HpcuXQJgviHXzbEbcb1ej9TUVKSmpsLf3x933303li5dCk9PT8u/ICvB5lzUL2VkZIi2o6Ojrb7pRVRUNI4dPSKK5V+5gvwrVzo8xtHJCQuX3Q1ntUu3r6eyt8ekaTMxMikZ506fRPq5s9DpdCb75WZlovBqPlzd3NHU2Iim5iYIRqPZcxYWXMWwkaMwduIU2NjYdDsnaxAcEgZf/wCUFhe1xYquFbA5FxHRHcpoNKKpsREN9fWoq6tFQ309GurrUF9fj4qqKjTW15t9f7wVO5UKg4cOx+DhI9saXBIRERERERGRtNrXDqx+Ik5oGBQKBVpbW9tiupYWHDl8qNPjhg0fiXETJ/fomqFh4QgJDcOV3BycOHYERYXXTPbRaJqxfctGnDp+FEajEY2NjWhp0Zo9X1lpCa7k5WLeoiXw8w/oUU5Sk8lkmDhpEv7zVX5brLqqCg0NDXB25n0fIqI7UUtLC+rr61FbW4u6ujrU1dWJ/lxfX9/28FF3hISEYMyYMYiKioJcLu+DzImIiIiIiIjoBnPzCaxZaGgolEql6HlFnU6HQ4c6rwmMHDkSM2bM6NE1w8PDERYWhpycHBw6dAhXr1412Uej0WDDhg04cuQIBEFAQ0MDtNofawI6/Y+LhJeWFCM3JwdLlt6FgMDAHuUkNZlMhnETJqPg6hdtsbraGtTX1UHt0v05G0REZP10Ol3b/IH6/80nqK+vQ31d3fW5BQ09qwkEBgVjROJohEeyJkBERERERETWx8HBAStXrsTKlSuRnp6O1atXY9u2bWhubgYAk4ZcN2Ltm3cVFRXh7bffxrvvvotp06bh7rvvxtixYy38aqTH5lzUL7Vf6cbai2kAkDxuHIqLi0WrrHTE1tYWw0aOwvDEJKhuc2UZJydnjJs0FYlJY3Eh7QzSzpyE5n8/MG9oaWlBWWlJl86XdvokSouLMHvB4h41DbMGdnYq0bZWq5EoEyIiuh0N9fWor6tDU1Pj9a/GG/9tQlNjA5qamtDc3NRhsaxVb74ZZXsymQwOjo5wcnKGk1qN4EGhiI5L4Ao2RERERERERFakrq4OZWXiVWytvXZgb2+PufPnY9vWrWjtQvNwXz9/jJs4GSGhYbd1XZlMhrCISIRFRKLo2jUcP3oYV/JyTParqCjv0vnq6mrx3TdfYcLkaRiROMrqF1Mxx93DwySm1WjYnIuIqJ8xGAyorKxEQ0MDGhsb0djYaPbPPVm0oz2lUgm1Wg21Wg0vLy8MGzYMfn5+vfAqiIiIiIiIiOhWmpqaUFhYKIpZe03Azs4OixYtwsaNG7t0b8Lf3x9Tp05FeHj4bd13l8lkiIyMRGRkJK5du4aDBw8iKyvLZL/y8q7VBOrr6vD1l19g8tRpSBozpl/WBNzc3U1iGk0zm3MREfUzBoMB1VWVaGxsRPP/5hA0NjaguakJTU3X6wLNjY3Qtd5+TUBhq4CzWg1ntRpu7h6IHzwEvn7+vfAqiIiIiIiIiPpeQkICXn31VfzhD3/Apk2bsGbNGly6dAmA+YZcN8duxPV6PVJSUpCSkoKgoCDcfffdWLJkCdzN3G+9E7E5F/VL/bE5l729Pe574AFcvnQRu1NT0VBfb7KPjY0NRiQmIiRuBBwdnXr1+nYqFRLHjMXQkaNwOf08jh85CK2mZ02pSkuK8e0XnyJ54mQMHjqiXxXVDAYDykqLRTF3d0+JsiEiou4SBAEFV/Nx9NABFBVe6/Xzy+RyhIVHIDwqBmq1C5ycneHg6AQbG5tevxYRERERERER9Z72dQMbGxuEh4dLlE3XxScMRvCgEOzbuwcXzp0zu4+XtzcmTp4Mn6Dbm4BjTkBQEJYGrUR5WSmOHjqInOzMWx9khsFgwL7dKbiSm41ps+bAza1/FVozLl8WbSsUCri4ukqTDBERdZtGo8GxY8dw/PhxaLXaXj+/q6srhg0bhsDAwLaGXHZ2dv2qTk5ERERERER0J2nfXOpGAyprFx8fj0GDBmH37t1IS0szu/Cot7c3pkyZgpiYmF6/9xAUFIR7770XZWVl2L9/f9vkq+4yGo3Yk7oLuTnZmD13HjzMLIBhzbIyxTUBW1tbuLi6SZQNERF1l1arxZlTJ3Dm5Am0tPR+TUCtdkHc4CHwDwiEs7MznJxZEyAiIiIiIqI7g6OjI+655x7cc889uHDhAlavXo1t27ZB87++M+0bct2ItW/eVVBQgLfeegv/+Mc/MHPmTKxYsQJJSUkWfjWWxeZc1C9lZGSItmNiYiTKpHtkMhni4hMQGRWNs2fOoOBqPrTaFhgMBgQEBmDU6CS4uLiguKZnTbO6QqFQYMjwkYiIjsGhvbuRefmi2f3kchu4ebjD09Mb9g4OOH/2DIxGQ9u4TqfD/tQUZF66iKkz58DD06vPcu5NV6/kmTQli46LlygbIiLqKkEQcDX/Co4eOoDiosJbH9BNbu4eiBs8FNFx8b3eIJOIiIiIiIiI+l77ukFYWBiUSqVE2XSPs7MzFixchJEjE3HuXBpqa2rQ0qKDo6MD4uLjERefAJlMhjqNvs9y8PbxxaK7liMnKxO7U3agsbHB7H6Ojk7w9PKCp5c3SkuKTZqnX82/gq8++xhJyeMxakxyv2l4fuH8edF2VHR0v/n3Q0Q0kGk0Ghw9ehTHjx9HS0tLr57bxsYGsbGxGDFiBEJDQznphoiIiIiIiMiKtK8JDBo0CPb29hJl0z1OTk5YtGgRRo0ahbNnz6KmpgZarRYODg5ISEhAQkIC5HJ5n+bg4+ODFStWICsrC1u2bEG9mUXHgesTtfzdPeDl7Y3SklJcK7gqGr+an4/PPv4IY8eNx5ixY2Fr2z+mJ11KvyDaDo+IgkqlkigbIiLqKo1GgzOnTuDsqZO93pTLxsYGEZHRSBg6DMGDQvr8vZiIiIiIiIhIaoMHD8bgwYPxhz/8AZs2bcKaNWtw+X+LHZtryHVz7Ea8tbUV27Ztw7Zt2zBo0CCsXLkSixcvhusduEBy/7j7TXSTpqYmXLsmnuwRHR0tUTY9o1AoMDopCaMl7P7n4OCImfMWYljiaJQUFUIul8PRyRmOTk5wdHKCg4Oj6GZidFwCdmzegLraGtF5SouLsPqrzzF/yV0YFBpu6ZfRbXk54pWSfP0DuNINEZEVu9GU68jB/SgpLurxeWxtbeGsdoFarYazWg21iysUdg5wUqvh4uIKZ7ULJ9YQERERERER9WOZmZmi7f5WNwAA/4AA+AcESJpDRFQ0ggaF4OqVPNTX1cHRyQlOzs5wcnKCg6MT7Ozs2vY1Go04cnA/jh89LDqHXq/H4YP7cDU/D8tW3mf1DboaGhpM7jvFDx4sUTZERNQVGo0GR44cwYkTJ26rKZejoyNcXFzg6uoKFxeXti9XV1d4eHiwUSMRERERERGRlWpfE+gvC33fzN/fH/7+/pLmEBUVhSeffBK5ubmoqamBk5MTnJ2d277s7OzQ2NIK4HpN4OD+/Thy+FDbZCzgek3gwP59yMvLw73332/1Dbqam5pMFoiNjU+QKBsiIuoKrVaL0yeP4+zJE2jR9bwm4ODgeH0egdoFahcX0dwCN3cPUS2ciIiIiIiIaKBwcnLCvffei3vvvRfnz5/H6tWrsX37dmg0GgAwach1I9a+eVd+fj7eeOMN/P3vf8esWbNw9913IzEx0cKvpu9Y951vIjOys7NNYpGRkRJkcmfw9vGFt49vl/a7+/6HcHBvKi5fFK8WYzQacOr4UatvzqVpbkbh1XxRLDI6VppkiIjolkpLinFw3x4UtPvZfTOFrQKOzs5wdHSEo+P1BpPX/+t4vemkoyOcnJxh7+Bg0nyrSdvax6+AiIiIiIiIiCzlTmjOZS3s7OwQFXPre+dyuRzjJ01BQFAwUndsQ319nWi88FoBrhVcRUhoWF+letsEQcClixdFMaWdHUKtOGciooGstbUVJ06cwMGDB6HVajvcz9HREc7/ay55Y1Jp+z87OztDoVBYMHsiIiIiIiIi6i2sCfQepVKJ2Niu1QQmTZmCoOBgbNu6BfV1pjWBK1fyEBkZ1Vep9orMjEuibaVCiZAw654DQUQ0UOn1eqSdPoXjRw9Dq9V0uJ+Dg+P1uQROztfnENw8p8DRCY7OTnByYk2AiIiIiIiI6FaGDBmCIUOG4I9//CM2btyINWvWICMjA4D5hlw3x27EdTodtmzZgi1btiAsLAwrV67EokWLoFarLf+CehGbc1G/c+N/3hsGDRoEBwcHibIZWOxUKkyfMx/R8QnYt2snamuq28Zu/rO10el0OHf6JM6cPAadTicaCxoUIk1SRETUodbWVhzavxdnTp3ocB8XF1ckjR2HuIQhsLGxsWB2RERERERERGSN2tcOYmJiJMpk4AkNC8eDP/05jhzcj7OnT7YVXAGgprrKaptzFRcVYe+e3biany+KDxo0iPebiIis0LVr17BhwwZUVVWZHZfJZEhISMDEiRPh5eVl4eyIiIiIiIiIyJLa1wTYnMtywsLD8fPHf4GD+/fjxPFjoppAdVU1YKVrrpeWFOPQ/r24mn9FFA8ICmZNgIjIChUXFWLn1s2oru64JhAVE4cxY8fB08vbwtkRERERERER3dmcnJxw33334b777sO5c+ewevVq7NixAxrN9ebZ7Rty3Yi1b96Vm5uL119/HX/7298wZ84crFixAsOHD7fwq+kdbM5F/Q5XupFeUHAI5ixcgv9++VlbrLmpCQaDwaqKU4IgIC87Cwf27EJjY4PJuKOTE9w9PCXIjIiIOlJcWIgd2zajpoNCmourG5KSx7IpFxERERERERG1MRgMyM7OFsVYO7AsOzs7TJk+E02NjaJV5xsbTO/NS625uRl7dqfifFqa2fGw8AjLJkRERJ3S6/XYu3cvjhw5IprseYNMJsPgwYMxceJEeHqy9ktERERERER0pzMajcjKyhLFuGCHZSmVSkybMQONjQ24mJ7eFm9oqJcwK/M0zc04uG8PLpxPMzseEmadC4wQEQ1Uer0exw4fxIljHdcEomLikDxuPDw8uVAHERERERERUV8bOnQohg4dihdeeAEbNmzAmjVr2nr+mGvI1T4mCAK0Wi02bNiADRs2ICIiAitXrsSiRYvg5OQkzYvqATbnon6HK91YBycnZ5NYU2MD1C6ulk/GjLraGuzfvQtXr+SaHZfLbTBhynRRV0YiIpKOXq/HkYP7cerEMbOFNGdnNcZOmIjY+MFsykVEREREREREIvn5+dDpdKIYawfScHIW1w6saSKOIAhIO3sWe/fshvZ/Kze15x8QiMFDhlg4MyIi6khxcTF++OEHVFRUmB1PSEjA5MmT2ZSLiIiIiIiIaAApLCxEc3OzKMaagDTUahfRdkO9ddUELl44hwN790CjaTa7j4+vH+IHD7VwZkRE1JGy0hLs3LoZFRXlZsejomMxdsJENuUiIiIiIiIikoCTkxPuv/9+3H///UhLS8Pq1auxY8cOaLVas026AIh6udyIZ2dn49VXX8Vbb72FuXPn4u6778aQfvDsNptzUb9zo4veDVzpRhp2KhVsbW2h1+vbYo0N0jfn0uv1OHPiGE4dPwqDQW92n6iYOCSNmwBXN3cLZ0dEROaUFBchZdsWVFaaTq6xtbVF8riJGJ44CgqFQoLsiIiIiIiIiMjata8buLm5wcuLD+RKwdlZLdpubGiQKBOxstJSbN+2DcVFhWbHndVqTJg4CUOGDoVcLrdwdkRE1J5er8fBgwdx8OBBGI1Gk/HAwEDMnTsX/v7+EmRHRERERERERFJqXxNwdnaGn5+fRNkMbO0X7Kivt46aQEV5GXan7EBR4TWz405OzkgePwHxg4dysVgiIiug1+tx4tgRHD9yyGxNwNfPH1NnzIKff4AE2RERERERERFRe8OGDcOwYcPwwgsvYMOGDfj++++RnZ1tst+Nhlztm3cJggCNRoP169dj/fr1iImJwYMPPoj58+dbbS8BNueifsVoNJoU1LjSjTRkMhmcnNWoraluizU2SltQu3b1CvalpohyullQcAjGTZ4KL28fC2dGRETmaLVaHN6/F+fSzog64d7g5x+A2fMWwN2DK94TERERERERUcfM1Q1uXmmHLKf9RJwGiZtztbS04MD+fTh14oTZ+08KpRLjJ0xE4ig2hicishZ5eXnYunUrqqqqTMZsbGwwZcoUjB07ls0UiYiIiIiIiAYo1gSsh7NaXBOQei6BTqfDkYP7cfb0SbPNXZQKJZLGjudisUREVqTgaj5279yO6mrzNYHkcRMxakwyawJEREREREREVsjZ2RkPPPAAHnjgARw8eBDPP/88ampqAED03PbNf775fv6N+OXLl/HHP/4Rf/vb3/Czn/0M99xzD+zs7Cz0KrqGzbmoXykqKkJzc7MoxuZc0nFydhY355Jwks25M6dwYM8us2MOjo6YMGU6IqNjWXwlIrICgiDg8sV07N+TiubmJpNxGxsbjB0/CYlJY1hIIyIiIiIiIqJbysjIEG2zbiAdZ2e1aLuxoR6CIEhyb765uRnffP0VKsrLzY7Hxcdj6vQZUKvVZseJiMiyGhoasHPnTqSnp5sd9/Pzw5IlS+Dt7W3hzIiIiIiIiIjImrAmYD3U7WoCDfXS1QQ0zc1Y89//oKLCfE0gKjoWk6fNwP9n777Do6rWt4/fe9J7aKH3XgVEehHpSO8oIqAgR5GDHitYsRxB7GI9gqAoSJEiHUF67713CJAAIaQns98/fMnPzSQIksxO+X6uK9dhPWvN7Bs9ZpJZs58VxJ4AAGQJMdeva+WKZdq/N+09gbCwgmrzYEeFFSzk5mQAAAAAAOBO7N27V9OmTdP8+fNTewGldaDyDTfmDMNIfS/ZNE2ZpqmIiAiNGTNGEydO1HPPPaeOHTtm/l/gNtGcC9nKiRMnLGOHw6H8+fPbEwYKDLSedhOZzmZWZtu/Z1eajbkMw1CNWnVUr2Fj+fj62pAMAHCzyIhL+n3JIp0+dTLN+YIFC6nNgx1VIKygm5MBAAAAAIDs6ua9g4IFeV/BLoFB1n2D5ORkXb1yWXny5nNrjoSEBE396ac0G3PlyZtXbdq2U5myZd2aCQCQNqfTqU2bNmnFihVKSEhwmXc4HGratKmaNGkiDw8PGxICAAAAAICshD2BrOPmRldOp1MREREqUKCAW3MkJCRo1vSpaTbmCs2TVw+0aqPSZdgTAICswOl0atvWrVq8ZJkSEtPeE6jboJHqN2zMngAAAAAAAFlUXFycfvvtN02dOlX79u2TdOuGXOkd6PDXRl1/rV24cEEvvPCC5syZozFjxihfPvd+Dj0tNOdCtlK0aFHL2Ol06ptvvtHw4cNtSpS75clnbYx26MB+NWjSTIFB7jtR5ujhQ/p98QKXeqHCRXR/q7Y0dwGALCIpKUkb163Rlk0blJKS4jLv5emleg0bq069+mykAQAAAACAO1KsWDHLeNKkSXrttdcUEBBgU6LcKzAoSD4+vkpIiE+tbdm4Qa3aPei2DMnJyZo+bZrCz5+z1D09PdWwUWPVb9hQnp5skQJAVnDmzBn99ttvCg8PT3O+WLFi6tChgwoVKuTmZAAAAAAAIKu6+X6CyZMn680331RgYKBNiXKvwMBA+fr5KT4uLrW2ccN6dejYyW0ZkpOTNXfWdJc9AQ8PD9Vt0Ej31WsgLy8vt+UBAKTv3NmzWrRwocLPn1NCstNlvlDhImrZpp0KFipsQzoAAAAAAPB39u/fr6lTp+q3335TbGyspSHXjQZbaTXc+mv9r+vTesxfa2vWrFHPnj01YcIElSpVKlP+TrfLYevVgTtUunRpNWvWzFJ79913FRMTY1Oi3K1S1Wry8Pi/G1iczhRt27zJbdePjY3RsoXzXL4R123YWD0e6k9jLgDIIo4ePqRJ//taG9evTbMxV9lyFfTo4CdUr2EjGnMBAAAAAIA7NmjQIMv4woULGj9+vE1pcjeHw6Hq99S01Pbu2aXoa9fclmHdmjU6dfKEpRYcEqLHhjyhxk2b0pgLALKAuLg4zZs3T999912ajbn8/PzUsWNHPfbYYzTmAgAAAAAAFjfvCUREROiTTz6xKU3uZhiGatWqbant2bVLV69edVuGzRvXu+wJBAUFq/+gwWrYuCmNuQAgC4iLi9OihQs0aeIEl2aKkuTj46uWbdqp7yMDaMwFAAAAAEAWEx8frxkzZqhnz57q1q2bfvnlF8XExKTbUOvmsWmaKly4sEaMGKGVK1fqq6++UvPmzeXh4eHyHDfW36hJ0rlz5/TYY4/p+vXr7v6rW9CcC9mKYRh6++23LbULFy7o888/tylR7hYYGKQq1WtYant3bVdMjHu+sR05eECJiYmWWu376qlug8YunRQBAO7ldDp17OgRzfplqmbP/EVRUVdd1gQHh6hL917q0qOXQkJC3Z4RAAAAAADkDI0aNVK7du0stTFjxigqKsqmRLnbvffVszTASklJ0eaN691ybdM0tWPHdkvNPyBAfR/up3z58rklAwAgfdHR0Vq9erU+++wzbd261eUQJkmqWbOmhg0bpnvvvZc9XwAAAAAA4KJevXrq2LGjpfb+++/rypUrNiXK3erWr29pgOV0OrVh/Tq3XNs0Te3ZucNS8/PzV48+DylvvvxuyQAASF90dLTWrV2rr7/8Qtu2bElzT6BKteoaOHio7ql1rxwObnMFAAAAACCrOHDggN588001adJEr776qvbs2ZPaPOtGM630GmrdGDdu3Fjjx4/XsmXLNHToUBUsWFD333+/vvzyS61YsULDhg1TwYIF023S9dcGXePGjbPhn8L/4V0LZDuNGzdW27ZtLbUxY8awoWaT2vfVk/GXN0CTk5O1c+tmt1z76OGDlnGpMuXUsGlzPqQNADa6evWK1q76Q//78nP9On2qjh874rLG4XCobv2GevTxJ1S2fAUbUgIAAAAAgJzmrbfesowvX76sDz74wKY0uVtgUJCqVb/HUtuzc4diY2Iy/dpnz5zR9ehoS61nr9405gIAG6WkpGj//v366aef9OGHH+r3339XbGysy7qwsDANHDhQXbp0UUBAgA1JAQAAAABAdjF69GjLOCoqSmPHjrUpTe4WEBCge2rVstR27dih6Jveq88MF8LP69o160Etnbr2oDEXANgoJSVFBw8e0PRpUzX+00/0x/Lf09wnzpcvv3o99IjadeisgMBAG5ICAAAAAICbJSQkaNasWerdu7e6du2qqVOnKjo62qUpl6R0G2oFBwdr4MCBWrJkif73v/+pRYsWaTbkLlCggIYNG6bly5drzJgxKl26tEuTrxt/Nk1TM2fOVGRkpBv+KaTN8++XAFnP22+/rUWLFqWOr1y5on79+mnevHl0ynez4JBQVapSTfv37Eqt7dy2RRUqV1X+AmEZco3o2ESXWnx8nI4fPyGn05laK1musq7HJWXINfH3QvyyxktIVskB5HZXrlzW74sX6eSJY7dcV7xESbVo3Vb58hdwU7L0Bfh6/f0iN4iJ57ULAHKStH5/sUOQv7fdEbIU/nkAAJDz3XvvverWrZtmzZqVWnv33XfVokULNWvWzMZkOc/tvCf7wP1NdGjvzr+8h5+ijauWqXPXbpl6wMahg9ZDPfIXKKCixYpl2vUk6XpC1nhvJ9Ana7zXBQA3mKapTZs2adWqVYq5RYNGb29v3X///apXr548PDzcmBAAcp6s8jNhVvkZGQAAADlXzZo11atXL/3yyy+ptbFjx6ply5Zq0aKFjclyp/oNGmr71q1KSUmR9Odh30sXL1LX7j0ydU/gyCHrnkCevPlUtHjxTLseACB9pmlq29atWrN6lWKuX093nZeXlxo1aapK99RhTwAAkCNllXvEsso9cwAAIHs4dOiQpk2bprlz5+r6//+9Pq1GWTc35PprrUaNGnrooYfUvn17eXvf/n18DodDnTt3VseOHTVp0iR98sknSkhISG3KdeM6ycnJmjdvngYMGHDXf99/gi5GyJZu3GTzVwsWLNCbb75pU6Lc7d66DSzfVJOTk7Vw7q9KTEjItGvGXI+2NOaSpMLF2EwDADtERlzStB8n37Ixl79/gNo92Ek9+/bLEo25AAAAAABAzjN69GjLAR4pKSnq2bOnTp8+bWOq3Ck0NFTVatSw1Pbt3attW7dm6nWjoq5axiVKlszU6wEA0maappYsWaKFCxfesjFX5cqV9dRTT6lhw4bchAMAAAAAAO7Im2++adkTcDqd6t27t06ePGljqtwpODhY1e+5x1I7sH+/tmzenKnXjYqKsoyLFy+Rqc3AAABpM01TfyxfrsULF9yyMVeFihU1eOi/1LBRI/YEAAAAAACwWUJCgmbPnq0+ffqoc+fO+umnnxQdHS3TNFObYt3cgOvmmq+vr3r06KFZs2bpl19+UZcuXe6oMddfORwODRw4UBMnTpSvr2/q9f5qayZ/Dv1WaM6FbOuTTz5RgQLW5h6jR4/W3LlzbUqUe+XJm1fVa9a21K5euazflyxI/Uab0QKDgl2+mV69HJkp1wIApC/i0kX98tOPiolJeyOtYKHCatG6rQY98aSqVK/BBx8AAAAAAECmqVq1ql555RVL7dKlS+revbvi4+NtSpV7NWnaTD7/f3P0hmVLFuvc2bOZds2QkFDLOOJSRKZdCwCQNtM0tXjxYq1fvz7NeW9vb9WuXVuPP/64evfurZCQEDcnBAAAAAAAOUGlSpX0xhtvWGqRkZHq1q2b4uLi7AmVizVu0lS+fn6W2u9Ll+jsmTOZds3Q0FDLOCLiUqZdCwCQNtM0teL337V+3do05728vVWjZk31HzBQPXr1dvneDQAAAAAA3Ovw4cN6++231aRJE7388svauXOnS0MuwzBSa5IsDblM01Tp0qU1cuRIrVq1Sm+//baqVKmSYflq1aqlJ5980tKn5kaegwcPZth17hTNuZBtFStWTNOnT3fplt+vXz9b/6PKrRo1e0BhBQtZakcOHtDuHdsy5Xo+Pr7Km9/anC38XObd0AMAcBVx6aKm/zxFsbHWU+99ff1U69779MjAx9VvwGOqWbuOfHx8bEoJAAAAAAByk9dff10PPvigpbZ582YNGzYs0w6TQNpCQkLUoVMnSy0lJUW/zpqZaTdGFS9ZwjI+d/YM/94BwI1M09SiRYu0YcMGl7nixYurc+fOeu6559SpUycVK1bMhoQAAAAAACAnGTVqlDrd9D70tm3bNHToUN4bdrPg4GB17NzZUnM6nfp11kzFxsZmyjWLFrfuCVwIP6+UlJRMuRYAwJVpmlq+bJk2rF/nMlekaDG179BRw0c8ow4dO6lY8eI2JAQAAAAAAJKUmJio2bNn66GHHlKnTp00ZcoUXbt2zaUpl6R0ax4eHmrdurUmTpyoBQsWqH///goKCsqUvL1795bD4doO6+rVq5lyvdvhaduVgQzQrFkzffDBBxoxYkRqLTo6Wl27dtXGjRsz7T9muPL09FTbjl007YeJSkhISK2vXvG7wgoWUqEiRTPsWsnJyQo/d0aRly661AEA7nHp4gVN/3mK4uKsH5ooUrSYuvbsI19fX5uSAQAAAACA3MzhcOjHH3/UfffdpyNHjqTWv/vuO91333164oknbEyX+1SsWEn16jfQxg3rU2tRV69q7uxf1atP39RN24xw9epVHTt61FJLTk6W0+l0OegFAJDxTNPUwoULtWnTJkvdMAx17dpVNWrUsCkZAAAAAADIqRwOhyZPnqy6devq0KFDqfXJkyfrvvvu07Bhw2xMl/uUL19BDRs11rq1a1Jr16KiUvcE0rqZ6p+KirqqE8esewIpKSk0ZQMANzFNU78vW6pNNx3WYRiGHuzYUTXuqWlPMAAAACCXceQJlMMIsDtGpnCYGfdeEpBbHT16VNOmTdOcOXN07do1SUp9D/Wvn+H+a+2vDbkkKSwsTL169VKvXr0UFhbmltzBwcEqU6aMjt70ufDr16+75fpp4TsSsr3hw4fr4YcfttT279+vAQMGsLniZiGhedSyXUdLzelM0cK5vyo2NiZDrnHq+FH9+N0Xmv/rLy5zgTRjAwC3uHghPN3GXN169aUxFwAAAAAAsFVoaKh+/fVXBQRYP3Dw9NNPa/369ek8Cpnl/gceULGbTq8/euSI1q5enSHPn5KSopnTf9EXn32qrZs3W+YCg4JozAUAbmCaphYsWJBmY65u3brRmAsAAAAAAGSakJAQzZ49W4GBgZb6M888o9UZ9D40bl/T++9XiZKlLLVjR49qzapVGfL8KSkp+m32LP3vy8+1dfNGy5y/f4A8PT0z5DoAgPSZpqllS5ek2ZirQ6dONOYCAAAAAMBGiYmJmjt3rvr166cOHTrohx9+UFRUlEzTlGmaLg240qvVr19fn376qVasWKFhw4a5rTHXDfny5XPpF2Rn/yCacyHbMwxD33zzjWrWrGmpz5o1S9988409oXKxMuXK69669S2169ejtfi3OXI6nXf13PHxcVqxZIES4uPTnM+X373f0AEgN0qvMVfRYsXVrVdf+fj42JQMAAAAAADg/1SrVk0TJ0601JKSktS7d2/Fxsam8yhkBg8PD3Xp1k3+NzVLW71qpY4ePXLXz79xwwYdPHAgzTl3bwQDQG50ozHX5psaJBqGoe7du6t69eo2JQMAAAAAALlF5cqVNXnyZEstOTlZffv21fXr121KlTs5HA516dZNATc1S1uzepUOHz5018+/fctmHTywL825AuwJAECmM01TS5cs1uaN1gaJhmGoY+fOql7jHpuSAQAAAACAxYsXq0mTJnrxxRe1detWl+ZbhmGk1iS51IKCgtS/f38tXLhQ33//vVq3bm3bIcleXl62XDc9NOdCjuDv769ff/1VefPmtdRHjRqly5cv25Qq96rfuJmKlShpqZ05dVLrV/9xV8+7beM6xcfHpTlXplwF5Q8reFfPDwC4tUMH9mvaj5NdvhcXK15CXXv2oTEXAAAAAADIUnr27KkXXnjBUjt9+rTGjBljU6LcKzg4WF27dZfD8X9bk6Zpas6vv+rKlSv/+HmvX7+utWtWpznn7eOjBg0b/ePnBgD8vfj4eE2dOtWlMZfD4VD37t1VrVo1m5IBAAAAAIDcpmvXrho5cqSldvbsWf33v/+1KVHuFRgYqG7de1j2BCRp7uzZd3VvR2xMjDasTXtPwMfbR3UbsCcAAJkpPj5eM6f/oi2bNlnqhmGoU5cuqla9hk3JAAAAAACAJB0+fFhRUVEuTbkk3bJWtWpVvf3221q1apVGjhyp0qVL2/nXyJJozoUco1SpUpoyZYqlFhkZqddff92mRLmXw+FQmw6dFRgYZKlv27xRq5Yv0/Xoa3f8nBGXLmjvru0u9Vp16qtTj75q2b5z6osAACBjOZ1OrVy+TPNmz1RiUqJljsZcAAAAAAAgK3v33XfVtGlTS23s2LE6ceKEPYFysZKlSqlZ8wcstfi4OE37+ScdOLA/9RSmO/H70iVKSnR9v6p9h47611PDVLJUqbuJDAC4hfDwcH3zzTc6ePCgpU5jLgAAAAAAYJfRo0frgQes70OPGzdOR48etSlR7lW8RAk90LKVpZYQH69pP/+k/fv2yul03vFzrlyxTAmJCZZakaLF1Kptew0c8i+VKFnqbiIDAG7h4oUL+n7Cdzp0056AYRjq3LWrqlarblMyAAAAAABwsxsNuG403/prTfqzKZe3t7e6du2qX375RTNnzlSPHj3k6+trZ+wszdPuAEBGatu2rbp3766ZM2em1r788ks98cQTfPjXzfz9A9SuU1fNnDpFTmdKan3nts3avWObKlauoqCQEBn685u44XAoT958Kl6ylLy9vS3PZZqm1ixfYtmE83B4qFf/xxQcEuquvxIA5Eox16/rtzmzdOb0KZe54iVKqkuP3i7ftwEAAAAAALIKDw8PjR8/XjVr1lRKyp/vVcfHx+u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      "text/plain": [
       "<Figure size 6000x1800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plot total BC from different sectors \n",
    "# Figure in paper: Fig. 2\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "#Plot three figures in 1 row\n",
    "fig, axes = plt.subplots(1, 3, figsize=[20, 6], dpi=300, subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "##fig.tight_layout()\n",
    "fig.subplots_adjust(left=None, bottom=None, right=None, top=None,hspace = .15, wspace=.001)\n",
    "axes = axes.flatten()\n",
    "\n",
    "#plots for BC dep per month\n",
    "\n",
    "titles= ['a) Total BC flux', 'b) BC flux from fosssil fuels',\n",
    "         'c) BC flux from fires, GFED4s']\n",
    "         #'BCPI:BCPO dry dep.[BB]','BCPI:BCPO wet dep.[BB]']\n",
    "\n",
    "#get lat and lon of the model results\n",
    "lat= BCDST_flux2014_19y_avg['lat'].values\n",
    "lon= BCDST_flux2014_19y_avg['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#set the boundary and the color normalizations based on the limits of the data\n",
    "bounds =  np.linspace(0, 200, 26-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "#plot the three different model results\n",
    "pcm= axes[0].pcolormesh(lon,lat,BCDST_flux2014_19y_avg['BC_flux'] ,cmap=BuPu_trans, norm=norm )\n",
    "pcm1= axes[1].pcolormesh(lon,lat,BCDST_flux2014_19y_avg_noGFED['BC_flux'] ,cmap=BuPu_trans, norm=norm )\n",
    "pcm2= axes[2].pcolormesh(lon,lat,BCDST_flux2014_19y_avg['BC_flux']-BCDST_flux2014_19y_avg_noGFED['BC_flux'] ,cmap=BuPu_trans, norm=norm )\n",
    "\n",
    "##This loop loops through all the axes and plots the glacier and the observation locations\n",
    "for i in range(0,3):\n",
    "    axes[i].set_title(titles[i])\n",
    "    axes[i].set_extent([-84, -60, -22, 3])\n",
    "    axes[i].scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=100, \n",
    "           c='peru', marker=\"^\", alpha=0.75, label = \"Glaciers\")\n",
    "    axes[i].scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8, label = \"Obs.\")\n",
    "    axes[i].coastlines()\n",
    "    axes[i].add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "        #get the symbols and the labels for legend\n",
    "    handles, labels = axes[i].get_legend_handles_labels()\n",
    "\n",
    "#places the colorbar next to the last figure\n",
    "axes[0].legend(handles, labels,\n",
    "        loc='lower left', ncol=1, edgecolor='black',\n",
    "        borderpad=0.25)\n",
    "cbar=fig.colorbar(pcm2, ax=axes[2], shrink=0.9,label='BC flux (mg/m² yr)',fraction=0.045, pad=0.04 )\n",
    "fig.suptitle('Annual mean BC flux contributions for 2014-2019.', y=1.05, fontsize =22);\n",
    "fig.savefig('../PP1_figs/BCAndes_Figure2.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fossil fuels:total ratio at the following observation sites:\n",
      "Yannapaccha: 0.76\n",
      "Shallap: 0.84\n",
      "Huascaran: 0.76\n",
      "Quelccaya: 0.56\n",
      "Illimani: 0.31\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    }
   ],
   "source": [
    "##Fossil fuels to total BC flux ratio\n",
    "#Yannapaccha\n",
    "fostot_rat_ya = (BCDST_flux2014_19y_avg_noGFED['BC_flux']/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-9.02, lon=-77.6, method = 'nearest').values #yanna\n",
    "#Shallap\n",
    "fostot_rat_sha = (BCDST_flux2014_19y_avg_noGFED['BC_flux']/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-9.5, lon=-77.3, method = 'nearest').values #shallap\n",
    "#Huascaran\n",
    "fostot_rat_huas = (BCDST_flux2014_19y_avg_noGFED['BC_flux']/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-9.1, lon=-77.6, method = 'nearest').values #huascaran\n",
    "#Quelccaya\n",
    "fostot_rat_que = (BCDST_flux2014_19y_avg_noGFED['BC_flux']/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-13.9, lon=-70.9, method='nearest').values #quelccaya\n",
    "#Illimani\n",
    "fostot_rat_illi = (BCDST_flux2014_19y_avg_noGFED['BC_flux']/BCDST_flux2014_19y_avg['BC_flux']).sel(lat=-16.6, lon=-67.8, method = 'nearest').values #illimani\n",
    "\n",
    "print(\"Fossil fuels:total ratio at the following observation sites:\")\n",
    "print(f\"Yannapaccha: {fostot_rat_ya:.2f}\")\n",
    "print(f\"Shallap: {fostot_rat_sha:.2f}\")\n",
    "print(f\"Huascaran: {fostot_rat_huas:.2f}\")\n",
    "print(f\"Quelccaya: {fostot_rat_que:.2f}\")\n",
    "print(f\"Illimani: {fostot_rat_illi:.2f}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Hjx6STCaTRo8erSJfRn08b948RZ4RI0Yovaty0nqGKeWqUKGC9ODBAyW5hg4dKslkMqlFixaZqi91veq+xd/DO7Nz505JJpNJPXv2lOLj45XKJCQkSOfOnUtTfnXIv5mpvxWS9N93vWLFitL9+/eV7iN/N6tXr67yXOVtcnFxka5du5YledIjKipKqlGjhiSTyaR169YpXTt69Kgkk8mkJk2apFl+9erViu9fegwfPlySyWTSihUrMpRp3bp1kkwmk5YuXapIk7/348aNy7B8VviW2r9t2zZJJpNJzZs3V3v93r17ivdg0aJF6d5PIPhaCBPWn5wdO3YAUK9ePcUOiK6urmKFLaPIlv3798fOzk7xt6ampsJ+/+LFi2keB/Kp5bJK1apVFWaSKalRowZ16tQhNDQUPz+/bLkXJLdjwoQJSoEirK2tqVq1KklJScTExPD7778r+We0bt2avHnz8vz5cyWzsocPH3LgwAEsLS2ZNm2akqmLlpYWQ4YMwcrKCn9/f6XIh4aGhtSoUQMdHR0l2XLlysWff/6JtrY2hw8fTrMNHTt2pGrVqkpp3bt3x8jIiGfPnqk1fcuIkSNHKkyzbGxsqFq1KuPHj8fa2ppNmzbh5OSklF9uDqrO7/FzuHjxIrdu3cLIyIgxY8Yo7W6WKVOGX3/9VW25T30WcjQ0NBg7dqzSzlG+fPkYPXo0AFu2bCE2NlZxbdWqVQB06tRJxTxX7qMTERHBtm3bFOnv3r0Dkt/51Cv5urq6WTbz/RTWrVtHQkIC9evXV9nZb9CgAXXq1CE+Pp5169apLV+nTh1atmyplNakSRNKlSql2EXPDO/evWPLli1oamqyYMEClRV8LS0tatasqfg7JiaGzZs3A/DHH3+QP39+xbVcuXIxbtw4DAwMuHr1KpcuXVJ7zz/++ENp90JXV5d+/foBcP78+UzJrY68efMyevToT96J//XXXyldurSSXH/++SdGRkbcuHEjzfZ8Kb7kO/P27VsAKlSogLa2sgGWlpYWFSpUyI4mAbB69WoABg4cSJkyZZTuM2zYMAoWLEhQUFCaAcC6d++e5u7kpzBu3DhevHhB6dKlVSwR5Dti6QVjku+wfvz4MVvkef78ObNmzcLW1pZu3bplS53p8S2138PDAw0NDW7duqUwZ03Jli1bFP+f0TFXAsHXQiiQPzFxcXHs378fQCVCpvzvgwcPpvvBTGlCJ8fMzIw8efIQFxeXpr/dp5b7FN6/f4+vry9Tp05l9OjRjBgxghEjRvDgwQPgP7OW7KBQoUJqzU3kQRY8PDxUJoLa2tqKwAFv3rxRpMt9Mjw9PdWGhpebNgJq/YRu377NypUrGT9+PCNHjmTEiBGMGzcOHR0d3r9/T1hYmNo2qHs2urq6ChO8lDJmlnLlytGsWTPFv+rVq1O0aFGuX7/OuHHjsvUZpIc8WI+np6faaJBNmjRRW+5zn0VaPrrly5cnf/78fPz4UTHRTUhI4PLly0Da5oDy32fK4EPyyeb06dM5evSoYlL0JQkICFCSLzXyyIepgybJUffuwX8mzpl99y5cuEB8fDxOTk5Kk/e0uHnzJlFRUVhYWKiNpmlqakr16tXTlF1bW5sqVap8ttzqqFixIoaGhp9cXp1Pl/zYCUj7WXwpvuQ7I/+NrFixgt27d3+2T2FavH79msDAQDQ1NdV+U1Iu0qbVrlq1amWbPAsXLmTnzp0YGRkxZ84clTFI+v+xGTltQpryfqNGjSI+Pp5JkyapBLzJbr619hctWpTGjRsjSRJ9+/bl6NGjhIeH8+LFC2bPns3mzZsVCxyfEpRIIPgSCB/In5gjR44QGhpK8eLFFZNfOWXLlsXGxoY7d+7wzz//qKzwykkr+p+hoSFhYWFKuyrZUS6rbNmyhSlTpqQbqCQ7V/gKFCigNl2+epnW9dy5cwMotTswMBBIPmts48aN6d43ZQCXjx8/MnToUI4fP55umcjISLUO/Ok9m9QyZhZ1x3hI/w86MmHCBDp06MDBgwcV9zA1NeXVq1eKXbXsQh48QZ2fIoCxsTFGRkZEREQopX/qs5CT1v0ALC0tCQ4OVkQ9Dg0NJS4uDk1NzTSfhXynK2Wk5CZNmnDmzBn27dtH37590dLSokyZMri5uVG/fn3KlSuXrtzZgVyetNqrTu6UFCxYUG16Vt+9oKAgQNW3Ni3kSkZ6z0m+gKJOdnNzc5UdLfhP7rQOIc8MnxNh1djYOE1/SfmiVeqAIl+aL/nOuLu70717d1atWqXwOy9ZsiQuLi7Url1b7SLApyCX1dzcHD09PbV5MmrX50QjTcnq1auZN28eBgYGLF++XO2Cinz8SW/RSX5NnvdzWLduHQEBAfTt2xdra+tMl1u2bBmPHz9WSZ8yZUqaZb7F9gOMHTuWqKgojhw5Qt++fZWu1a5dm9jYWE6ePKl2jBYIvgWEAvkTIzdPjYiIUBy+mxK5uY+Pj0+aCuSnro5l56paUlKS2vQbN24wduxYtLW1GTZsGNWrV6dAgQLo6+srjixZunTpJx9arI6M2pWVdsujttra2iKTydLNm3JQnDVrFsePH6d06dIMGTIEOzs7TExMFCatlStXJiQkJM12f6lVWA0NDTp06ICPjw+3b99m9+7dtG/fHkhu86tXr7h58yZNmzb9IvKkx6c+i08h5XNJ61moe3aamprMnDmTXr16ceLECS5fvszly5dZv34969evp0WLFkyaNOmzZMssWZE7JV9rtf1zdyByUu6cPpg+K23Ozm9lZuXI7nfm999/p02bNhw7dkzxG9m2bRvbtm2jcuXKLF26VO1iQFbIzPuUUbuy47mvX7+eKVOmkCtXLpYuXZpmcDq5sppWZNiU17JDsT169CgA586dU+xAy5Ev/hw5coQHDx5gYGCgiI57+vRptTu2aSmQ32r7IXlRecGCBVy5coXTp08TEhKCsbExlStXpkKFCgpz7ozGG4HgayEUyJ+UV69eKfxy3r17l+5Oz+XLl3ny5AklSpT4UuIpIVd80jKllQ84qTl06BCSJNGxY0e1PhbPnj3LPiFzAPnKuoeHB8OHD890OblPzezZs1UGn6ioKMXCwLdCkSJFuH37tlK48ho1anD06FEOHDjAsGHDsi0Sq9y3La13JiIiQmX3ET79WchJ634pr8kjA5qYmKCrq0tcXBxBQUEUL15cpYz8+ICUvnpyZDKZ4rknJSVx8uRJhgwZgo+PD/Xr16dy5cpZlj+z5M+fn+fPnxMYGKg2mmF6cmcn8knekydPMpVfLo9cPnV8Kdmzk/DwcCIiItSaa6d+7+DTv7Wfw9d4Z4oUKUKXLl3o0qULkOwbPWTIEM6cOYOPj0+G0YozQm5p8ubNG+Li4tR+v3L6fdq4cSN///03enp6LF68GHd39zTzlixZkly5chEaGsrz58/VPgd5hGobG5tsk/HKlStpXnvz5g1v3rxRenfXr1+f6bq/h/YDimPMUhIUFMSTJ0/Q19f/IpYjAsGnIIyrf1J8fHxISkqiQoUK3Lt3L81/8iMbMgqmk5OYmpqio6NDaGioWvNAuX9aauQ+furMRt+/f8+5c+eyV9BsRh7I5tixYxmeT5gSebvVmXbt27cvR3cRPgW5eajczBegUaNGWFpa8u7dO6ZPn55hHWmdO5oa+STi33//VWu6rO6Aafj0ZyHn7t27KucBQrL/U3BwMAYGBoqgUtra2opJw65du9TWJz8yIb1JESTvzlSvXl0RMObu3buZkleuSGS1rfJAPWnJLT8yKCO5P5fy5cujo6PDlStXMnWOmp2dHQYGBgQHB6sNePPhwweFSXh2yf6pfZxV1L3TERERnDhxAlBuj1yZCQwMVBvILL0z8L7nd8bV1VXhb5zZ30h6FChQgCJFipCUlKT2jN/4+Hj27dsH5Ey7Nm/ezPjx49HV1WXhwoWKcwXTQldXV/GNU/e+BAYGcvXqVXR0dNL0Oc0K69evT3POIQ881b59e+7du5fpb3tKvvX2Z8Ty5cuRJImmTZt+lv+zQJCTCAXyJ0T6/+HGkHbQEDny67t27VKY8X1pdHR0cHV1BZLPj0ypAF28eJF58+apLSf3f9q9e7fSinpkZCSjRo3KsQAK2YWtrS1eXl48e/aMQYMGqfVVevPmDWvWrFGatMl3ilP76t24cYOZM2fmrNBZQJIk1q9fz+3btwGUDifX1dVl9uzZ6Orqsm7dOkaPHq12lzw4OJjx48er+JCkhaurKzY2NkRERDBx4kSlSfKjR49YtGiR2nKf+ixStnXcuHFKu5vv379XHAjfunVrJZO1X375BYC1a9eqRMlcvXo1V65cwcjICG9vb0X6rl27uHXrlsq9P3z4oAjsk1l/OvmuVFYPse7UqRPa2trs37+fI0eOKF37559/+Oeff9DR0Un34PvswMzMjDZt2pCUlET//v1VdiITExOVfIRz5cpFmzZtAJg4caJS4JXY2FiFv5KTk5OKv/in8ql9nFUWLVqkdI/4+HgmTpxIREQEtra2im8rJO/cFi1alPDwcEUkYDlHjx5Ndwfoe3hnjhw5QkBAgIrbQ0xMjGLh4HN8TlMi/w3PnTtXqU8SExOZPn06QUFBWFpaZuu5ugDbtm1j3Lhx6OrqsmDBgkz7dfbo0QMNDQ1WrFihdB7ux48fGTVqFElJSbRr1y5LZ5B+Db6X9j958kRlDpKQkMDSpUvZsmULFhYW/PbbbyrlNmzYQN26dRk2bFi2yCEQfCrChPUn5MKFCwQGBqKvr59hpLcqVapgYmJCSEgIp06dUkQi/NIMGDCAixcvsmXLFgICAihdujQvX77k1q1b9OrVi8WLF6uUad68OWvXruXWrVt4eXnh4uKCJElcvHgRHR0dWrRo8VV3VjPD1KlT6dOnD0eOHOHUqVNYW1tTqFAhIiMjef36NY8ePSIpKYm2bdsq/Hb69u3LwIEDmT17Nv/88w+lSpXizZs3XLp0ifr163PlypUcMUVLj+3btyv5roSFhfHw4UOeP38OQM+ePVVMdRwdHVm3bh2DBg1ix44d7Nq1C3t7ewoWLEhiYiLPnz/n7t27SJKkcgxIWmhoaDBt2jQ6duyIr68vFy5cwMnJifDwcPz8/PD09OT27dtq++dTnoWcGjVq8ODBA7y8vPDw8CAhIQE/Pz8iIyOxt7dnwIABSvk9PT3p0aMHy5cvp0OHDri6umJhYcH9+/e5f/8+enp6TJ8+XemImsOHDzN8+HDy58+PjY0NRkZGhIaGcunSJaKionB1dc10ZMdatWqxZs0aunTpQvny5RW7w3KFNy2sra0ZNWoUEyZMoF+/fjg6OlKkSBGeP3/O9evX0dTUZMyYMWoj0mY3w4YN4/nz55w8eZKGDRvi5OREgQIFePfuHffv3+fdu3dKR64MGjSImzdv4u/vT506dfDw8CBXrlxcvHiRkJAQChUqxIwZM7JNvk/t46xQqFAhbG1tadKkCeXLl8fIyIirV6/y8uVLTExMmDZtmkqZwYMH89tvvzFr1iwOHTpE4cKFefbsGffu3aNXr14sWbIkW9vzJd8Zf39/1q1bh6mpKWXLlsXExITIyEiuXLlCaGgoJUuWVCwkfC7t2rXj8uXL7Nu3jyZNmuDh4UGePHm4fv06gYGB5MmTR21E0M/hzp07/Pnnn0iSROHChRUKeGpMTExUTPEdHBwYMmQIM2bMoE2bNor3JSAggHfv3uHo6KhWoXnz5o1i1xBQfNM3bNjAoUOHFOkLFixQMpfOCb6n9u/bt4+lS5diZ2dHgQIFiI+P59q1a4SEhFCwYEFWrlypNoDOhw8fePLkCebm5lnvIIEgGxEK5E+I3CSoZs2aGZpH6Ojo0KBBAzZs2ICPj89XUyDLlSvHmjVrWLBgAdeuXePly5eULl2aqVOn0rhxY7UKZJ48efDx8WHu3LmcPXuWEydOYGZmRq1atRgwYABbt279Ci3JGoaGhqxZs4a9e/eyd+9ebt26xa1btzA2NsbCwoI2bdpQs2ZNpUh/devWZd26dSxcuJB79+7x/PlzihUrxqhRo2jfvj1eXl5fvB3yYBVydHR0yJcvH3Xr1qVNmzZpnr/m7OzM4cOH8fX15fjx49y9e5ebN2+ipaVF/vz5adiwIQ0aNMiSWZFMJmPHjh3MmzePM2fOcPToUSwtLenXrx/du3endu3aast9yrOQkydPHrZt28asWbM4efIkHz58IH/+/HTo0IFevXopme/KGTp0KC4uLmzYsIGbN29y5coVTE1NadKkCT179lQ62w+ga9euWFpacuXKFW7evElYWBgmJiaULVuWZs2a0bhxY5WzQdPit99+Q0NDgyNHjnDkyBHFTm1mlJv27dtjbW3N6tWruXz5Mrdu3SJPnjzUrl2brl27phnIIrvR1dVlyZIl7N27F19fX+7cucO1a9cwNTXFyspK5Xegp6fHqlWr2LJlC7t378bPz4+EhAQsLS1p0qQJ3bt3x8TEJNvk+5w+ziwaGhrMmTOHZcuWsXv3bl6+fImhoSGNGzdm4MCBaiOf1qtXD11dXZYtW8bdu3d5+vQptra2LF++nBIlSqSpQH4P70zz5s3R09Pj0qVL3L9/nw8fPmBsbEzRokXp06cPLVu2zDaTQQ0NDWbMmEGVKlXYvn07165dIyYmBgsLC9q2bUuvXr3SjCD7qYSHhyssdB4/fqw2Yikk7zSr8+Xu0aMHVlZWrF69mhs3bhAbG0uRIkUUcQTUKbtxcXFcu3ZNJf3ly5dKZwZ/TiTizPI9tb98+fLcv3+fW7ducfv2bbS1tSlWrBjt2rWjc+fO2RbtVSDIKTSkb80hSiAQCH4QfH19GTlyJM2aNUs31LxAIBAIBALB94LwgRQIBAKBQCAQCAQCQaYQCqRAIBAIBAKBQCAQCDKFUCAFAoFAIBAIBAKBQJAphA+kQCAQCAQCgUAgEAgyhdiBFAgEAoFAIBAIBAJBphAKpEAgEAgEAoFAIBAIMoVQIAUCgUAgEAgEAoFAkCmEAikQCAQCgUAgEAgEgkwhFEiBQCAQCAQCgUAgEGQKoUAKBAKBQCAQCAQCgSBTCAVSIBAIBAKBQCAQCASZQiiQAoFAIBAIBAKBQCDIFEKBFAgEAoFAIBAIBAJBphAKpEAgEAgEAoFAIBAIMoVQIAUCgUAgEAgEAoFAkCmEAikQCAQCgUAgEAgEgkwhFEiBQCAQCAQCgUAgEGQKoUAKBAKBQCAQCAQCgSBTCAVSIBAIBAKBQCAQCASZQiiQAoFAIBAIBAKBQCDIFEKBFAgEAoFAIBAIBAJBphAKpEAgEAgEAoFAIBAIMoVQIAUCgUAgEAgEAoFAkCmEAikQCAQCgUAgEAgEgkwhFEiBQCAQCAQCgUAgEGQKoUAKBAKBQCAQCAQCgSBTCAVSIBAIBAKBQCAQCASZQiiQAoFAIBAIBAKBQCDIFEKBFAgEAoFAIBAIBAJBphAKpEAgEAgEAoFAIBAIMsUPoUDeuXMHa2tr/P39v7YoAkGWmT9/PlZWVrx48eJri/JJZFV+X19frKys8PPzy2HJBILvm6z8ViRJolmzZowcOfILSCYQZA9WVlaMGDHia4vxyWRV/ho1atCxY8cclEgg+DL8EAqkjY0NXl5eTJkyBUmSMsy/efNmrKys2L59u8q1ffv2YWVlRbVq1dSWrVOnDq6uriQlJWVJxqNHjzJ//vwslRFkjhkzZmBlZcX58+dVri1duhQrKyvatWunci0hIQFnZ2caNWqU5Xv6+vqyZs2aTxH3p8DPz4/58+cTHh7+tUURCH4KNDQ06NevH7t27eLOnTuZLmdlZaX4Z21tjbOzMzVr1qRv3774+PgQExOTg1ILPoePHz9ia2ub7viW0dh46NChLN3zxYsXzJ8/P0vv2M/G/PnzOXr06NcWQyDIUX4IBRKgc+fO3Lp1i5MnT2aY18PDA0Dtqq6/vz/a2tq8fv2aZ8+eKV0LCQnh6dOnuLq6oqmZta47evQoCxYsyFIZQeaQP88LFy6oXJM/z+vXrxMdHa107caNG0RFRSnKZ4WdO3eybt26TxP4B6NPnz5cv34dS0tLRZq/vz8LFixQq0A2adKE69ev4+bm9iXFFAh+eGrWrImlpSWLFy/OUjkbGxumTZvG1KlTGTFiBA0bNiQ4OJhRo0bRqFEj7t69m0MSCz6H3LlzY2dnl+74pq2tnebYqKGhkeXvcFBQEAsWLBAK5P+5fv06EyZMUEpbsGBBmgrkwYMHWbly5ZcQTSDIUX4YBdLV1RVLS0u2bNmSYd6SJUtiYWGh1uTVz8+PBg0aoK2trXJdrnB+isIhyDlcXFzQ0dFReV4JCQlcvnyZxo0bEx8fz5UrV5Suy/O7u7t/MVl/RLS1tdHT00NDQyNT+bW0tNDT08vyIoxAIMiYxo0bc/z4cUJCQjJdJn/+/DRp0oQmTZrQunVrfvvtN3bs2MGcOXN49eoV3bt3JywsLN06JEni48ePnyu+IIt4eHikOb7lzp2bmjVrpjk2lilTBlNT0y8p7g+Hnp4eOjo6mc6vq6uLrq5uDkokEHwZvtkZXGRkJLNnz8bb2xsPDw/s7OyoVasWM2bMUFlpg2TzncqVK3P69OlMDWLu7u4EBwfz9OlTRdqbN294+vQpnp6e2NraqqzayT/CKRXIp0+f8vvvv1O5cmXs7OyoUaMGU6dOJSoqSpGnY8eO7Ny5E1A2F/L19U1XxsuXL9O9e3cqVaqEvb09VapUoUePHly9elUpX0REBNOnT6dWrVrY2dlRvnx5Bg8eTGBgoFK+rPSpJEmsWbOGRo0a4ezsTLly5ahTpw6jRo0iPj5eKe/Ro0dp06YNzs7OODs706ZNG7Wrb3Lb/0ePHtGzZ0+cnZ1xcXFhwIABaic7jx494vnz5+n2EYCBgQF2dnbcuHFDqR3yFdg2bdpgbm6usuOsbgX2xo0b9O3bV9E/derUYfHixSQkJCi1w9/fn6CgIKXnmZGfUlJSEkuXLqVGjRrY29vTqFEj9uzZk2b+N2/e8Ndff+Hp6YmdnR2VK1dmzJgxvHv3Timf3AfxwYMH/P3331SqVAkHBwe8vb3Vmi4BbN++nWbNmuHg4ICLiwtdu3bl4sWLKvlOnDhBhw4d8PDwwMHBAU9PT/r168eTJ09U7i/3gRwxYoRit71mzZqK/pGbcKfl1/X+/XvGjRtHtWrVsLOzo1q1aowbN44PHz4o5ZOXP3/+PCtXrsTLy0vxrOS/M4HgRyIxMZH58+dTvXp17OzsaNSoEfv371ebt2rVqsTHx2eLCV29evXo1q0bISEhbNy4UZHu5+enGMM2btxI/fr1sbe3Z9WqVfTu3RsnJyciIyNV6rt+/TpWVlYsXLgw3fvGxsYyf/586tSpg6OjI66urjRq1IipU6eq5D137hxdu3bF1dVV8V3dvHmzSr4zZ84waNAgatasiYODA66urnTt2lXtQvKDBw8YMGAAVapUwc7OjkqVKtGxY0dOnDihlC+nvlnv37/n0aNHREREpNtPkLZFlb+/P+XKlaNChQppjo0p5zJxcXEsWbKEBg0aYG9vj6urK7179+b27dtK7ejUqRMAI0eOVHzbM+PT9+DBA7p164aTkxPu7u4MHTpUZSxLyYEDB2jbti3Ozs44Ojri7e3NwYMHVfLJfRDPnTtHq1atcHR0pFKlSvz9999K8zA5L1684Pfff6dixYrY2dnh5eXFrFmzVOZAoaGhTJo0CS8vL+zt7fHw8KB58+asWLFC7f3ldVtZWQHJVkop5wdy0vKBzKl5lECQU2h/bQHSIjg4mB07dlC7dm0aNmyo2BFcsWIFd+7cUWsC4OzszNatW7l06RJVq1ZNt/7y5cuzb98+/P39KV68OPCfgujm5satW7dUJvd+fn7kyZMHa2trAG7evEnnzp0xNjamdevW5M+fn7t377J+/XquXLnC+vXr0dHRoXfv3iQlJXHx4kWmTZumqK9cuXJpyvf48WO6du1Kvnz56NSpE2ZmZrx9+5bLly9z9+5dnJycgGTlsU2bNrx8+ZIWLVpQpkwZQkJC2LRpE97e3vj4+ChMC7PSp4sWLWLevHlUr16dNm3aoKWlxYsXLzh+/DhxcXGKFbeNGzcyfvx4SpYsSZ8+fYDkD2ffvn0ZP348rVu3VnmunTp1wsvLi2HDhnH37l22bt1KZGQkq1atUspbv359LC0tOX78eLrPEpIH0StXrnD58mUqVaqkeJ4GBgbY2tri6uqqNMDKV2CtrKwwMTEB4OTJk/Tt25dixYrRtWtX8uTJw9WrV5k3bx537txh3rx5AIwaNYqZM2fy4cMHpYAVpUqVSlfGyZMns27dOtzc3OjSpQvv3r1j/PjxFClSRCXvy5cvad26NfHx8bRs2ZKiRYvy7NkzNm/ejJ+fHz4+PhgZGSmVGT58OJqamvTo0YPIyEi2bt1K9+7dWb58ORUrVlTkmz59OitWrMDBwYHBgwcTGRnJtm3b6Ny5M4sWLVL4//r7+9OnTx9kMhm9evXCyMiIN2/ecP78eZ4/f06JEiXUtrN169ZERkZy5MgRRo4cqejflINoaiIiImjbti3Pnj2jRYsWlC1bljt37rB582YuXLjA9u3bMTQ0VCoze/ZsYmJiaN26Nbq6umzevJkRI0ZQtGhRXFxc0n0WAsH3xIwZM4iKiqJt27ZA8kR+8ODBxMbG0rx5c6W8ZcuWRVdXF39/f0X+z8Hb25slS5Zw8uRJfv31V6Vra9euJTQ0FG9vb8zNzSlQoAB2dnb8+++/7Nu3jzZt2ijl37FjB5qamioyp2bcuHH4+PjQtGlTnJycSEpK4unTpypK0tatW/nrr79wcnKid+/e6Ovrc+7cOcaOHcvz588ZPny4Iu/OnTsJCwujadOmFChQgODgYLZv306XLl1Yt24drq6uAHz48IHOnTsD0KZNGwoVKsSHDx+4efMm165dw9PTE8jZb9bGjRtZsGABkydPzrCvypUrh46OjtrxrU+fPri7uxMfH68yNkLyPAggPj6ebt26ceXKFZo0aUL79u0V40Lbtm3ZsGED9vb2uLm50bt3b5YsWULr1q0VMufLly9dGQMDA2nfvj1xcXG0b9+eggUL8u+//9K9e3e1+WfPns2SJUuoUqUKAwcORFNTkyNHjjBw4ED+/PNP2rdvr5T/1q1bHDp0CG9vb5o0aYKfnx/r16/nwYMHrF69WmHtEhQUhLe3t+LZFS9eHH9/f5YuXcrly5dZs2YN2trJ0+KBAwdy8eJFWrdujbW1NdHR0Tx+/Bh/f/805TY1NWXatGkMGzYMV1dXWrVqlW6/yMnJeZRAkGNI3yixsbFSXFycSvrs2bMlmUwmXbt2TeVaQECAJJPJpJUrV2ZY/7NnzySZTCYNHjxYkTZmzBipTp06kiRJ0okTJySZTCY9fvxYkiRJCg4OlmQymdSnTx9F/kaNGkl16tSRIiIilOo+fPiwJJPJJB8fH0Xa8OHDJZlMlqFcctauXZtmO1MyYcIEyd7eXrpz545S+osXLyRnZ2dp+PDhirSs9GnTpk2levXqpXvv0NBQycnJSfLy8lLqg4iICKlmzZqSk5OTFBYWpkivXr26JJPJpP379yvVM3bsWEkmk0kPHz5USpfJZFL16tXTlUHOuXPnJJlMJs2cOVOR1rVrV6lr166SJEnSxo0bJVtbW+njx4+SJEnS5cuXJZlMJv3999+SJElSTEyMVLFiRaldu3ZSfHy8Ut2rV6+WZDKZdOHCBUVahw4dMi2bJEnSo0ePJCsrK6lTp05SQkKCIv3mzZuSlZWVJJPJpMDAQEV67969pfLly0uvXr1Squf69euSjY2NNG/ePEXavHnzJJlMJrVs2VKKjY1VpL969UpycnKS6tatqyJHmzZtlPK+fv1acnFxkapXr66Qb9KkSZJMJpPevn2bbtvk908pv7o0OT4+Pir9OWvWLEkmk0kbNmxQyrthwwZJJpNJs2fPVinfpEkTlTbY2tpKv/32W7ryCgTfC/J33dPTUwoPD1ekh4eHS56enpKbm5sUHR2tUs7Ly0tq2LBhpu4hk8mknj17ppvH2dlZcnd3V/x94cIFSSaTSW5ubirfh4SEBKlatWpSixYtlNKjoqKkcuXKSd27d89QJjc3twzzBQcHS3Z2dkpjuJwJEyZI1tbW0rNnzxRp8m9/SkJCQiR3d3elex09elTtOJWanPxmyb+fKecQ6dG2bVu149uVK1ckSZKkihUrqoyNVlZW0ocPHyRJ+m+MO3XqlFK9ERERUrVq1aQOHToo0uTPPrOySZIkDR48WJLJZNL58+cVaUlJSdKvv/4qyWQypXnKzZs3VcZyOX369JGcnZ2V5hsymUySyWTSkSNHlPJOmDBBkslk0r59+1TkOHHihFLeKVOmSDKZTNq2bZskScm/L5lMJv31118Zti21/GmlyalevbpSf+b0PEogyCm+WRNWXV1dxS5XQkICYWFhvH//XrGTcu3aNZUy8p2O9Mwi5BQtWpSCBQsqrdr5+fkp/OFcXFzQ0tJSrNSlNl+9d+8e9+7do2HDhsTFxfH+/XvFPxcXFwwMDDh79uynNl+xu3Ts2DFiY2PV5pEkib179+Lm5oaFhYWSDPr6+jg5OXHmzBlF/qz0qaGhIcHBwWrNGuWcPXuWqKgoOnbsqLTSamhoSIcOHYiKiuLcuXNKZSwsLKhfv75SmnwVNLW56r179zK1+wjJu8/yVXd5+y5fvqx4nilXYUH1eZ49e5a3b9/SvHlzwsPDlfpSvpv9Oc/z2LFjSJLEL7/8gpaWliLd1tZWsSosJyIighMnTlCjRg10dXWVZLG0tKRo0aJqZenSpYuSb0WBAgVo1KgRjx8/5tGjR0pydO/eXSlv/vz5adasGUFBQQqTJfk7eOjQISUT3pzgyJEjmJqaqqy0tm7dGhMTE7WmPO3atVNpQ4kSJZTM0gWCH4G2bdsqWRwYGRnRpk0bwsLC1JrO582bN1PjYGYxNDRUa5LapEkTzMzMlNK0tLRo0aIFN27c4N69e4r0Q4cOERkZScuWLTN1v4cPH3L//v008xw6dIi4uDhatmyp9I18//49NWrUICkpScmE38DAQPH/Hz9+5MOHD2hqauLo6Mj169cV1+T9fPr0abVtlpOT36z+/ftz7969DHcf5cj9IFOOb3LrG0iOEZF6bLS2tiZv3rwA7Nmzh5IlS2Jra6vUj3FxcVSsWJFLly59cjTepKQkjh8/rnCvkaOhoaF2J2/v3r1oaGjQtGlTtc/148ePKm48JUqUwMvLSymtZ8+eQPJzSilH2bJlVaLs9+rVC01NTcUz09PTQ1dXl+vXr+f48Vo5PY8SCHKKb9aEFZK39bds2cLDhw9Vjs1Q59Av/f8Ij8wG8/Dw8GDXrl08fvwYQ0NDnj59Sr9+/YDkH6+NjQ1+fn60bt1aReGQT8jnz5+f5vEcb9++zZQc6mjQoAF79uxhyZIlrFmzBkdHRypXrkyDBg0UJqnv378nNDSUM2fOUKFCBbX1pA5Uktk+HTx4MH379qV9+/ZYWFjg7u6Op6cnderUUQyA8g9rmTJlVO4rk8kAVPww1Zlrygex0NDQtLojQ3LlyoWjoyNXrlwhKiqKe/fuERUVpfBvLF26NKampvj5+VG5cmX8/f3R1NRUXJc/z1GjRqV5j895nvJ+KFmypMq1UqVKKSn6T548ISkpiR07drBjxw619anrR3UmtPK0wMBASpUqlelnZm9vT/v27Tl27Bjjxo1jxowZuLi4UKVKFRo2bJjtgRdevHiBnZ2dwnxIjra2NiVKlFDyw5GT1rsUFBSUrbIJBF+btL4bgNoJriRJmR4HM0NkZKSKOSagcP9ITcuWLVm8eDE7duxg9OjRQLL5qpmZGTVq1MjwfqNGjWLYsGE0atSIIkWK4OHhQfXq1alRo4ZiTJN/s7t06ZJmPSm/2c+fP2f27NmcOXNGJTp0yr5yd3enadOm+Pr6snfvXuzs7KhYsSL169endOnSinzf0jfLw8ODRYsWKY1vzs7OigVjd3d3Jk2apDQ2pgwe9+jRI2JiYtKcR0CyaW/BggWzLNu7d++IiopS+w6n7M+UskiSRL169dKsM/VYrG7ss7CwwNjYWDH2vn//nqioKLX3zJs3L+bm5oq8urq6jBo1iokTJ1KzZk1Kly5N+fLl8fLySrePPoVvaR4lEGSFb1aBXL16NVOmTKFy5cp06tQJCwsLdHR0CA4OZsSIEWrPe5T/cDI7uZUrkP7+/orBMeVH1d3dnb179wLJu5N58+ZV8ePq2rUrVapUUVu/sbFxpuRQh66uLqtXr+b69eucPn2aixcvMm/ePBYsWMDMmTOpVauWog8qVqxIjx49MqwzK33q7OzMkSNHOHPmDH5+fvj5+bFv3z4WL17Mpk2bFB+rrJJy9y016p5pVvDw8CAgIIBLly5x+/Zt9PX1sbe3V1x3c3PD399faQU2T548SvceNmwYNjY2auu3sLD4LPlA/eJG6nbL/27cuDHNmjVTW4+enl6m7pdW3ZnBxMSEHTt2cPHiRc6dO0dAQACTJ09m/vz5LFu2DGdn50zXlROIKK6Cn4WsKoNhYWHZtsjz4sULPn78qPb3rq+vr7ZMwYIFqVKlCnv27OH333/n1atXBAQE0LVr10xFrPTy8uL48eOcPHmSgIAAzp07x44dO3B1dWX16tXo6uoqvmVTp05N89ssn2h//PiR9u3bEx0dTefOnZHJZOTOnRtNTU2WLl2qEjBv6tSpdOvWjZMnT3Lp0iVWr17NkiVLGDVqFB06dMhQ/rTIqW9WSgsc+fgm34GD5LEvISFBMTaCcjBASZKQyWRKPv2p+dT3KasL+/LFj+XLl6c5X0itBKZVd8rxLqvzi7Zt21KzZk1OnjyJv78/hw4dYsOGDdSvX5/Zs2dnqa7sJifnUQJBZvlmFcjdu3djaWnJ8uXLlT66p06dSrOMfOte3UqOOlJGLzMyMqJo0aLkz59fcd3NzY1Vq1Zx4cIFnj59Su3atRUfqmLFigHJA0LKACVp8amrwQ4ODjg4OADw6tUrmjZtypw5c6hVqxampqYYGxsTGRmZKRmy2qe5c+emTp061KlTB/jP0XvHjh10795dMTg/ePBAZVXu4cOHgPqVspzCw8ODBQsW4Ofnx507d3ByclKarLi5uTFlyhT8/PxUItDJV9L19fUz1ZdZRd4Pjx49UumTx48fK/1dtGhRNDQ0iI+Pz5Isjx49UgR4Sl23/J5FixYFkp+Z/P/lqHtmWlpaeHh4KPrq7t27tGjRgsWLF7Ns2bI0Zcnq+16kSBGePHlCQkKC0op+QkICT58+/aLvkUDwrfHo0SNq1qypkgZQuHBhpfS4uDhevXpF7dq1s+Xe27dvB1Ax+8uIVq1aceLECY4ePao4MzAz5qty8ubNqzhaRJIkZsyYwYoVKzh27Bj16tVTfLNNTEwy/E6eP3+eN2/eMGnSJFq0aKF0bc6cOWrLyGQyZDIZPXr0IDw8HG9vb2bOnEn79u3R0ND4pr5Zenp6ODk5cfnyZcX4ljK6eJkyZTAxMVGMjSmtbyB5PvPhwwfKly+foZKb1W+7mZkZBgYGivc1JfIxJyXFixfn9OnTFCpUKMPAdOnV8+bNGyIiIhTPwczMjNy5c6vNGxYWRkhIiMrisYWFBd7e3nh7e5OYmMiwYcPYt28fv/zyi2Je9rl8a/MogSCzfLNL+JqammhoaCitpiQkJLB8+fI0y1y9ehVtbe10o5umxNLSksKFCxMQEICfn5/Kgbqurq5oamoqjiRIuTtZtmxZZDIZW7ZsUTEvkMua0pRA7n+RWfOC9+/fq6QVKFAAU1NThamppqYmjRo14vr162rDW4OyP2hW+lTd/eX+FPL7V6pUCQMDAzZs2KDkKxIZGcmGDRswMDBQ8e/LCpk9xkOOk5MTenp6nDt3jsuXL6s8T/kqrPyQ7ZTPs3LlypiZmbF8+XK1zygmJkapjblz5yYsLCzTq301atRAQ0OD1atXk5iYqEi/deuWin+DiYkJ1apV48iRIyq+HpC8wqju+axZs4a4uDjF369fv2bv3r2UKFFCMRDL5Vi5cqXScSxv3rzB19cXS0tLypYtC6h/B0qWLImenl6GZ8LJ3/eM8snx8vLi/fv3ismqnG3btvH+/XsV/xZBziM/qkHdv9STwbNnz9KqVSscHByoUKECf/75p4qZYHqsW7eOOnXqKMLqL1++XMXEHpIXCX/99VdcXFxwdnamR48eaieEPxqbN29WOtIhIiKCLVu2YGxsrHKO7e3bt4mPj8/yAfHq+Oeff1i5ciUWFhYqkS8zwtPTk/z587N161Z27txJuXLlMqUQJCYmqjUxlX+X5N+UevXqoaury/z589X650VERCi+h/Idm9Tf6zNnzqjEUwgNDVV594yNjSlcuDDR0dGKmAQ5+c3KyjEecjw8PBTjW65cuZQUHA0NDVxdXRVjo42NjZKFVNOmTQkJCWH16tVq605pMprVb7uWlhbVq1fn5s2bSju9kiSpHIkByZY3ALNmzVIaK+Wo8+198uSJis+pfF4jfw6amppUr16d27dvqyyaL1u2jKSkJEXe6OholWM9tLS0FBZomRn/MjvXy+l5lCDriLEvc3yzO5B169Zl5syZ9OjRg1q1ahEZGcm+fftU/A3kSJLE6dOnqVKlCrlz5870fTw8PPDx8SEkJEQRPlmOsbExVlZWBAQEKPLK0dDQYNq0aXTu3JnGjRvTokULSpcuTUxMDM+ePePIkSMMHjxY4QTv6OjIhg0bFGdG6ejo4ODgkObK0uLFizl79iyenp4ULlwYSZL4999/efz4sZLj+W+//cbly5cZNGgQ9erVw9HRER0dHV6+fMmpU6ewtbVlypQpWe7T+vXr4+TkhIODAxYWFoSEhLBt2zZ0dHRo0KCBon+GDh3K+PHjadWqlcLccufOnTx79ozx48erHDWRFbJyjAckm/06OzsrBqnUEysrKyvy5s1LQECAygqsgYEBU6dOpW/fvtStW5cWLVpQrFgxwsPDefz4MUeOHGHBggWKd8DR0ZF///2X8ePH4+zsjJaWFuXLl1cJKCGnVKlStG/fng0bNtC5c2dq167Nu3fv2LhxI9bW1ir+MmPHjqVdu3Z06NCBJk2aULZsWZKSkggMDOTYsWM0bdqU/v37K5VJTEykffv2NGjQgI8fP7JlyxZiY2P5448/FHlKlixJt27dWLFiBR06dKBevXp8/PiRbdu2ERUVxYwZMxSTrTFjxvD69WsqV65MoUKFiImJ4Z9//uHjx480adIk3Wfh6OgIJB8/0KhRI/T09ChTpozCpyM13bt35+DBg4wfP57bt29jY2PDnTt32LFjByVKlEgzbLog5xk6dKiKMpJy18vPz4+ePXtSs2ZNBg0axJs3b5gxYwb3799n06ZNGe5oLFq0iPnz59O7d2/Kly/PlStXmDNnDmFhYQwdOlSR7927d7Rr1w4zMzOmTp2KlpYWixcvpkOHDuzatYsCBQpkb8O/IUxMTPD29qZFixZIkoSvry8vX77k77//VjEjPXHiBDo6OllSYIKDg9m9ezeQfAbjy5cvOXv2LNevX6dYsWLMnz8/yy4ZWlpaNG/eXLFgN3jw4EyV+/jxI5UrV6ZGjRqULVsWU1NTXrx4webNm8mTJw/Vq1cHkhdUx44dyx9//EH9+vVp3LgxlpaWvH//nvv373P06FH2799P4cKFcXFxwdzcnKlTpxIUFESBAgW4c+cOu3fvRiaTKQXr2bVrF2vXrsXLy4tixYqhra1NQEAAZ86coV69euTKlQvI2W9WVo7xkFO+fHnmz59PQEAAHh4eKofVu7m5MWnSJEB5LgPQqVMnzp07x7Rp07hw4QLly5fH0NCQly9fcuHCBXR1dVm/fj2QbD6aO3duNm3aRK5cuTA2NsbU1DRd38BBgwZx6tQpevfuTYcOHShQoAD//vuv2kVKBwcH+vfvz/z582natCl16tQhf/78vHnzhlu3bnHq1Clu3rypVEYmk/H777/j7e1NsWLF8PPz49ChQ7i7uysFmxk8eDDnzp2jb9++tGvXjqJFi3Lx4kUOHDiAm5ubYg7z9OlTOnToQK1atShTpgzGxsY8fvyYzZs3U7hwYcWRL2nh5OTE+fPnWbZsGYUKFUJDQ0Mxb0pNTs+jBJ+OGPvS55tVILt164YkSezYsYOJEydibm5OvXr1aNGihUr0KYCAgABevnzJX3/9laX7yBVIQO2KrZubG3fu3MHExETFNNbGxoadO3eydOlSjh8/zpYtW8idOzeWlpY0a9ZM6YPasGFD7ty5w/79+zl48CBJSUlMnjw5TQXSy8uLkJAQDh48yNu3b8mVKxfFihXj77//VjIDMjIyYvPmzaxatYqDBw9y7NgxtLS0KFCgAC4uLnh7e39Sn3bt2pWTJ0+yfv16IiIiMDMzw9HRkV69eimZScqD7KxcuVJxOLS1tTULFy78KrtGHh4eXLhwAT09PYUSI0dDQwMXFxeOHTuGjY2Nyke5SpUq7Nixg2XLlrFnzx4+fPiAsbExRYsWpUuXLkr+r507dyYwMJBDhw6xZcsWkpKSWLduXZoKJMDo0aPJly8f27ZtY9q0aRQvXpw///yTZ8+eqSiQBQsWxMfHh+XLl3P8+HH27NmDnp4eBQsWpHr16moDDEydOpUtW7awfPlywsPDsbKyYsqUKSqrl7///jvFihVj06ZNzJw5Ex0dHRwdHZk5c6bSwNikSRN8fX3ZuXMn79+/x9DQkNKlSzNv3jyFWXNauLi4MHToULZs2cKYMWNISEigX79+aSqQ8vd43rx5HD9+HF9fX8zMzGjTpg39+/dXG8BD8GUoUaKE4txZdUyfPp0yZcowZ84cxYBpbm5O165dOXjwoNrvtZwPHz6wZMkS2rdvz8CBA4Hk33B0dLRikUM+OK5cuZLw8HB8fHwUrgZOTk7UrFmTxYsXM27cuGxq8bfH0KFDuXjxIhs3buTt27cUL15csTiTmr1791KjRg3Mzc0zXf+dO3cYNmwYkLyYZmJigrW1NRMnTqRhw4YKpSmreHt7s3TpUvT19albt26myuTKlYvOnTtz/vx5zp8/z8ePH7GwsKBGjRr06tVLyc2kRYsWFC9enFWrVrF161YiIiLImzcvJUqUYODAgYo+MDY2ZsWKFUyfPp0NGzaQkJCAnZ0dy5cvZ8eOHUoKpIeHB3fu3OHEiROEhISgqalJ4cKFGT58uJL/47f2zXJwcCBXrlzExMSoLJ6CanyHlOjo6LB06VI2bdrE7t27FYEBLSwssLe3V/LFz5UrF7Nnz2bOnDlMmjSJuLg43N3d01UgixYtysaNG5k6dSobNmxAV1eXKlWqMG3aNLXmx/369cPOzo7169ezbt06oqKiMDMzo0yZMmoD3dna2jJy5Ehmz57Nli1bFBFMf/vtN6VJvKWlJdu2bWPevHns2bOHiIgI8ufPT69evejTp49iMb1AgQK0aNECPz8/jh49SlxcHPnz58fb25sePXqk6fsr56+//mL8+PEsWbKEjx8/AqSpQMK3N48SJCPGvgzI6XNCvhS//vqr1KxZMykpKelriyIQfFHSO3NRIPhU5Oe9pT5fLSWvX7+WZDKZtGrVKpVrVapUkQYMGJDuPXbv3i3JZDLp5s2bSulPnjxROWOvVq1aUq9evVTqGDx4sFShQoWMmvNTcOTIEcna2lq6devW1xZFkqTksxptbGykMWPGfG1RBD8o6Z25KBB8CmLsyxzf7A5kVrhz5w7Hjh1j3bp12Rq6XCAQCL4lQkND0z2bLiOkNI53MDY2TtNE8c8//2TAgAHo6+vj6upK//79sbOzA1Ds3KQVgv7BgwfpyvPgwQM0NDRUyhcvXpxcuXIpysfExPD8+XO1u1hWVlbs27ePd+/epWsB8DOwcOFCmjZtqvAX/Nps3ryZxMREWrVq9bVFEQgE3zFi7Pv2xr4fQoG0sbHh7t27X1sMgUAgyDFCQ0Op4FqBJC1VB/vMoqenpwgCkpJ+/fqp+NQaGRnRuXNn3N3dyZs3L48ePWLZsmW0bduWDRs24OjoqAgUIT8OJyV58uRRexZe6jbp6+ur+GtB8sAur18esErdfVKef/azK5A7d+782iIAsH//fl6+fMnKlSupXLmyYtIlEAgEWUWMfd/m2PdDKJACgUDwoxMZGUmSVhJFnhdGJyHrn+547QQCi75g48aNKk736lZgy5Ytq7ST5erqSo0aNWjYsCGzZ89mzZo1imtpWX58rkVI6vLCwuT7YPDgwejp6eHq6qoI3CIQCASfghj7vs2xL90n8blbxgKBIOdp1qyZIsjBixcvvrI0AnUYGhoqVgs/F50EbXQSMj6MPS0KFCigcnZgZjE3N6dy5cqKyMgpV0BTExYWpnbVNCV58+YlOjqauLg4lZXY8PBwRfk8efKgoaGh9j7ytOzqX3mdYuz7dI4dO6b4//j4ePFdEuQY8ndNvGPfJmLsU8+3OvZlhTQVyNDQUGrXrp3ps34EAoFAoJ48efJw+PDhr/ahz05SnlEl99948OABlStXVsp3//59nJ2d062rdOnSSJLEgwcPFOfMAjx79oyYmBhF/bly5aJIkSJK0TJT3sfU1DTbTHjE2CcQCATZgxj71PMtjn1ZJU0FMjIykrCwMMWWb2BgIC1atGDu3LnphmsWCD6F27dv06BBAxYvXpzpcO8CwffA69evad++PZGRkd/9IBoSEsK5c+cUoc0LFCiAnZ0de/fupXPnzopQ5ufPnyc4OJjatWunW1/VqlXR1dVl9+7dSoPozp070dbWpkaNGoo0Ly8vNm7cSEhIiOJ4htDQUP799990Q+RnldRj3/r161m7di379u375OMsBIK0mDZtGosXL+bevXtq/aEEgu8VMfalzbc49mWVDI2J5Vu+ixYtom3btkrnCgoE2cUvv/yClpYWMTExn2xiIBAIso8hQ4ZQpEgRbG1tFQdpL1++nJiYGKVD4YcOHUq3bt0YPHgwrVu3Jjg4mBkzZuDo6Ki0GOTn50enTp2UghaYmJjQq1cvFi1ahJGRER4eHly9epUVK1bQqVMnChYsqCjfrVs39uzZQ8+ePenbty/a2tosXrwYbW1tevfune3tL1CgAIUKFWLBggUcPHiQ0qVLZ/s9BD83z58/Z+PGjSQkJJA/f35y5879tUUSCH56fvaxL7Nk2ht17969LF++PCdlEfzEWFpaEh8fj4ODw9cWRSAQkBwifP/+/WzYsIHo6Gjy5s2Lu7s7ffr0QSaTKfJVqFCBJUuWMH/+fHr27Enu3Lnx8vLi999/R0tLK8P79O3bF0NDQzZt2sTSpUuxsLCgf//+9OjRQylfvnz5FIeRDxs2DEmScHFxYcOGDRQqVCjb2w9w5coVjIyMsLe3z5H6BT83hoaGaGpqUqpUKQwMDL62OAKBADH2ZRYNSZIkdRdevHhBzZo1OXbsGGZmZpiamhL05u1XMbEw1Pt0p1nB90FiYiIBAQGUL1/+a4vyQxEZG6+SJn5PX5aU39LP2V2X11PycfFPCiQQrx3P45JPP1uOH52Uz+vAgQOcP3+ev2cvylIdefRFgPP0+Nm/QSm/y2+Cg0mKi/ludrjVjSkCgTpeBgXRqF4dMfb9oGRqlLt9+zZlypQR9vmCHCEkJISoqCihPAoEgm+KGzduCKsIQY5x985tihUvgXleMakVCATfF5qZyfT48ePvZnVM8H3x4cMHLCwsaNSoUYZ53717h7GxMZs2bfoCkgkEgp+dR48eibFPkCNs3rgBN2cnNq5fl2He1atXU7hwYV6+fPkFJBMIBIKMydQOZMGCBXn9+nVOywII05afjbi4OADKlSuXYd6YmBgiIiJo3749MpkMV1fXnBbvhySrJkjiNyn4WfnUsS8sOiHLZX4ms9fMfIN+9O/Ox48fAXBwdFLpj9Rtf/nyJUFBQbi6un5RJVKYqwoEgrTI1IhVqlQpHj58mNOyCH5C8ufPT0hISKaiz1laWjJ16lQePXokgloIBIIcp3Tp0mLsE+QI3Xr0pF79Blhmwiera9eu3L17l3r16n0ByQQCgSBjMqVAGhkZERkZmdOyCH5S8uXLl+m8w4YNy0FJco7Dhw+zcOFCXr16pXQYbU6TRoysLKGhoZENkvx4aGpqUrBgQfr27ZvhmU+C7xMjIyNevHjxtcUQ/IBoaGhkSnmE5J3w9evX57BEAoFAkHkypUD++uuvREdH57Qsgv8TFhaGnp6eOLT6B+Hw4cPMnDmT6dOnY2Njg45OzplmJeaAcqqlmSlX6Z+O+Ph47ty5w++//w4glMgfDEmS6N+/P7/++usXuV9mzF5/dDPXN8HBWOTPD2RsPvk9m7h+z7ILBAIBZCKIzrFjx8TK1xemYcOG6OvrExMT87VFEWQDCxcuZPr06Tg4OOSo8ij4sujo6ODg4MD06dNZuHDh1xZHkM307dsXgISErPszCrLO27dvKVWsCNOnTP7aoggEAoEgAzJUIO/cuaP4/+wwh/vZSExMZMWKFVhZWaGvr4+bmxvr1q1Lty8nTJgAwIkTJ5TSd+/erVaZF8/l2+bVq1fY2Nh8bTEEOYSNjQ2vXr362mIIspljx44Byd9wQdZ5/eoVA/v1pXjhQhQyN6N7l87cvHE9zfxmZmY0atKE8WP/UkqXJIlxf47hwYP7KmXE2CcQCARfhwwVyA4dOgDg7+8vfKGyyJEjR6hevTrz589n1apVhISEMG7cOCZPnsyGDRvSLOfg4EBgYCB16tRRSj906BCdOnViyZIlCpPiW7duoampyZIlS3K0LdmJXKk+derU1xbli5CUlCR2Hn9gdHR0vqhfq+DLMHToUGxtbZk8WeyIZYWEhASmTppIlYrl0dbW5uwFf67duoOdgwNNGjbg3bt3aZb9e9IUXoaoXp8xbSrl7O3w9/NTpA0YMABNTU0ePXqUI+3ICR49esSMGTOIiIj42qIIBALBZ5GhAnn+/HkA3NzcclyYH4mkpCTatWtH27ZtOXHiBJUqVcLQ0JD69euzdOlSpkyZorbcuHHjKFGiBM7OzioK1owZM8idOzd9+vShSJEiJCUlUbJkSQD69OmT423KLnbu3EmPHj04cuTI1xbluycxKUnpn5amptK/nLiH3M/y3r17jBw5kpo1a2Jvb4+joyN169Zl9OjRXLp0SVG+Y8eOdOzYMVtkSc2LFy+wsrLC19c3R+oX/Lxs27aNmjVrYm5u/rVFURAWnZClf9lRR1bvc/jQQXbt9GXR0mXMmD0Hy8KF0TUy5Zc+A/GsWYsVK1eryBQaGkrVypWoUqE8jerX59XbMMU1DQ0Njp86A0DNalVYungRAPUbNQHg4JFjRMbGq/2XE6R1r/T+yenWrRu///47ISEhOSJbVsms3AKBQJCaDGeYf/31F7a2tl9Clh+KhQsXYmVlRZ8+fTAxMVGkx8fHM3v2bLWHU79584Y5c+Zw//59lixZwsiRI5WuGxgYEBYWxqZNm6hduzYJCQno6+uzevVqtm/fnuNtyi6ePXsGQPPmzb+yJIJPZdu2bTRv3pxbt27RtWtXli1bxpIlS2jbti13796lXbt2fPjwIcflsLCwYOvWrXh6eub4vQQ/Fw8fPqRatWpfW4zvitjYWKZPnUKvPn2pVbuOktXSnVs3OfnvMYoUK65SbsO6tRQuUpQbj19gYmqK7/YtStfd3N15HBhEtx49yZs3LwAVK1emY+cuNGjUKCeblK2cO3eOGjVqULRo0a8tikAgEHwWGYZ0CwkJoVmzZl9Clu+e0NBQ9u7dy/r167l//z4HDx4Ekncjg4ODuXPnDhMnTiQmJoZ///1XpfyLFy/Imzcv5ubmVKtWjW7dupGYmIiWlpYij5aWFm3btqVt27aKtC5duuR427KTIUOGMGTIkK8txneLJElEBz9EP7/qIsSX4MqVK4wdO5bq1aszZ84cJfPcChUq0LlzZ3x9fdHWzvmIkbq6ujg5OWVbfXFxcejq6mZbfYLvGwsLi68twnfB3bt32O3ry5pVqyhfoQKd/j8mxcbG8vz5M46fOM30ieMYMnIMDRo3VSn/7OlTylhZo6WlRflKVbh7+5ZKHnNzc+bMX6D4W1NTk0VLl+VUk3KEuLi4ry2CQCAQZAsZzvD2799PnTp1mDt37peQ55smKFT5KJOUIdW3bdnMsKFDKF+hAq3atqN5S29MjXKzc+dOFixYwNOnTwkKCqJ8+fL4+PionaQ6OzuTkJBAgwYNiIyMJCwsjDNnzohVcIGCxKQkYt4+JdhvG/krtCVXvuIq13OaZUuXoqmpydixYxXKY+r7pt5dliRJkSc2NpY5s2dz/vx5goKC0NHRoXTp0vTr148KFSoolYuNjWXZsmXs37+fFy9ekDt3bsqWLcvvv/9O2bJlefHiBTVr1mTy5MlK97xy5QoLFy7k6tWrxMXFYW1tzYABA6hcubIiz/z581mwYAG+vr7Mnz8ff39/bG1tWb9+Pc+fP2fWrFlcvHiR0NBQ8ubNi5WVFX/++SfFihXL1v4UfJt4e3uzatUqpXfme0OdGevHmKyZJgaFfFT629I8t+L/IyMjmPTnCM78e5QGTZqzZO1GnMq5Evw+gnkzp3Hy36O8CgoiOjqK7r370rZjF7Vy1azfmA4tm/Dg3l3+2bubxMRExk+ZgWY6ZviZOdLkWzHDTC3HlzjG41tpu0Ag+DHJ8As8Z84cunbtmrybkCg+SKkJDQ1l8ID+XLt2lV179+Pk7Ky4JneYNzQ0ZMmSJVSoUAFDQ8M069LQ0GDOnDm0bNkSFxcXABo0aEDz5s159+4dGhoa1KlTBzs7O5ydnRWmPIKfB0mSCL17EpISCb13ivxmxb5ocKvExET8/f2xs7P7ZN+wuLg4wiMi6NmzJxYWFsTExHDs2DF++eUXVq1aRcWKFYHkYBzdunXj6tWrdO3aFVdXV+Li4rh06RKvX7+mbNmyaus/c+YMvXv3xt3dnUmTJqGnp8e2bdvo2bMny5YtU1EI+vfvT7NmzejcubMi4maPHj3InTs3o0aNwtzcnHfv3hEQEEBkZOQntVnw/XHkyBE2b978tcX4Zrly0Z/f+/WgfKWqnAq4Tu4UY9u/Rw+zcM4M/pgwmSrVqmNd1jZdZdC9fEXKV6zMvl2+lHNz53KAPz06tkFbR4fwsDAKFS5MVc+alChVCjsHp3TrEggEAkHOk6ECef/+fXx8fL6ELN8s9+/fZ+PGjeTNb0nJ/AXR859EeEwCz/O3YN6SxdRv2JDT5/0wMDBQlElMTOTgwYPY2tqSJ08eatWqle493rx5w9atW1m8eDHdunUjd+7c1KpVizJlyiBJEvnz5yc6OppDhw6xfft27t69y+jRo+nXr5+Siev3jiRJHD9+nLCwMOEjqYbYd8+IDX2Froklse9fEvvumcouZE7y4cMHoqOjKVSokMq1xMRERVh9SVMTLS0ttcqtkZEREydOVAT5SUxMpFKlSgQGBrJx40aFArl3714CAgKYOnUqTZs2VZT38vJKV8YJEyZQtmxZVqxYoZhoVq1alRYtWjB79mwVBdLb21spCNX79+95+vQpCxcuVLpX3bp1072v4MeiY8eOGb5rPzqH9u3m0uVrWFvZYvdqGXEJSbyMTuCUlie+WzYwbupsvOo1JHeu/3bUggIDeRH4HLN8+fCs4YWVjfqFHkj+3l+/epmd27dy49pVxk6axqUAPzp17UHImzdYFi6CcZ48PHxwn327fbl35zZGxsZMmDqT6lUqfoku+GKEhYWxa9cuPDw8sLa2/triCAQCQbpkqEBaW1ujr6//JWT5ZvH29qZy5cpcvXGbaf/uJSFRwlhfm7wGD5izYD216yhPLKOjozl96iTGxsaMGjUKFxcXhg4dSv78+ZXyXbx4kQULFnDhwgVevnxJ48aNmT17NrVr105zV8nb2xtIPp+zb9++bN26lY0bN1KiRImcaXwaSJLE0aNH8fT0zLYjKiRJwtTUlNDQUEqVKiUUyFTIdx+1dA3Q0NBAS8/gq+xCpkXjRo148uSJ4u/UZqUpOXz4MOvWruXx48eEhoYq0uVRhQFOnz6NgYEBTZo0ybQMz5494+nTp4wePZqkpCSl4zWqVKnC0qVL+fjxI7lz/2eGl3pxx8TEhKJFizJ9+nRCQkJwd3enVKlSmZZB8GPg6Oj4tUX4qty6fpUJfwzDq2FLts4fxYzgd+jpaGGUS5uSRcLZeeQ0FvkLKJUJfv2Ko4cOULV6TeLj4pg9bRJLVisfWRUXF8fO7VvY47uDG9euYmRsTDPv1uw7doqixYrTvU8/FVk8a9aie+++JCUlsXP7Vrp3aE2Hjp34c9z4L76A+vbtW549fYqLq2u21Xnt2jWFL/emTZuEAikQCL55MlQgAwICCA8Px9jY+EvIo9Zu/0v4C0BysJtRo0axdu1a3CpWxateA4yMjHnw4CHrdh7i6KZdjCkXgnyuLmnAy6AEjl9LPkTcSF+H10GBnDi0B8tiJenWrjF58uTh1379KVasGBevXscyvzkXLlxg1qxZ3Lt3j0GDBjFkyBCsra3R0dEhMjaej3H/+YekFYrduGBx1u7Yy6ypE+nWvQd7DvyjuPa5/RUdHY2enp6KmVB0dDQDBgzg9evXmJqasm7dOpYtW0aPHj3U1pOR30fq65Ik0blzZypXrpwlpeFHJbVfYczbp8m7j8bJCxFauYy++C6kiYkJuXLlIigoSEW+OXPnEhsby9OnTxn2++8k/d/vMfVh3wcPHmTwb79Rv359unbrhpmZGVpaWsybN4/Hjx4p6n3//j0WFhYkSRKoOTBc3TElb9++BWDixIlMnDhRbRvCwsKUFMjUprgaGhqsWbOGBQsWMH/+fN69e4e5uTktWrSgb9++IsjOT8LRo0fp3Lnz1xYjS2TGvzEiSjWQy+uXQYwa0IPIyHBs3avj4FaFK+eOU8benXIJHgzuckMx7qEBEnDlQSR3Al8o6rhx8TSvXzymhMyevAWKU9+7ExvWVqdja2/Wbt7Ki8DnHD6wj6UL5lLGypqOXbvj7OJG/gIF1S6AvX6v7HsZ/jG5bfYV67F4ixvDercD48JUq9NUkcdIX3mMSemvCVDIJP3F8NSLS3IC/P35e9xYytrZsdvXl8DA57wMeYeRkZHaelKP26n9NVOPfbGJSfT+tS9du3fHpqyIei8QCL59MlQg69SpQ7Vq1fjnn38wNDH7EjJ9FWJiYujRowdPnjzhyJEj7Nh/mIE9kicPlavVQN/AgEpsUSln8WEub1gHQGREOKeO7qdKrQZYFilOnjx5ABg4eAh/jx/HqpXLWTR/Pi4uLnTv3p327dt/1mRUU1OTvoOGYleiEEEvXmBZuPAn1yXnyZMnil2gmJgY9PT0FNf8/f1ZsWKF4m9zc3Ol3aPP4cOHD8RERzNnzpxsqe9HI/XuI/BVdiG1tLTw8PDg7LlzhLx5g3mKKJVlypRR5EmP/fv2UaRIEabPmKEkc1RUlFI+U1NTrl27hiRJmW6b/MicX3/9lRo1aqjNky9fPqW/1dVtaWmpOED+yZMn7Nmzh8WLF6OpqcnAgQMzJYvg++bo0aMMHz6cqVOnfm1RcpQnD+8zoGsbWrb/hXLuFVi6cAETB7UH4K+F23AKUu/CUub5fB7Ifgfg6YObvA0OxLNBW3R0dNHQ0MAgtyEt2//CnMl/0b/HL5w7c5KKlauxYsMWHJ1dPktmE7N81G3RgeP7fZQUyM9hyaKF/D74N8b8NZZhI0cpXVu9cgXHjx3l+LGjQLIZfnhYWJoKZGaRJImgFy8oXKQo02fN/qy6BAKB4EuSoQLp6enJ9evXWbZsGYOHj8wo+3dJeHg41atXp2TJkhw+fBgDAwN08xVl0+oVPLh3h2F//U3k/ftoAynnmhr8vwMvXQIXFy6cOoq1nTOWRYor1Z8rVy4qVa7C7Bkz6N69O8uXL8822fX19dHS0iI09EO2KJDFihVj/fr1vHr1SuUYhmrVqhEREcGdO3fYuXMn5ubmDBgwQHE9KCiIGzduEB0dzcePH7lxK9lfxdLSkoIFC5EQG83t27dxc3Mjd+7cLFi0mGtXrxASEsKrly+B5F3OXLlyfXY7fjRi3z0n+s1jtPQMiItXjgYcHfyO2HfPyZXvy0QH7dGzJ6dPn2bsuHEqx3hkBg0NDbS1tZUUtwcPHnDt6lUlM+/KlSuzf/9+9u7ZQ+NM7kiXKFGCIkWKcO/evWxT9EqUKMHAgQPZvXs3d+/ezZY6Bd8+Xbt2Zd68efTv3x8Nwx9z8fTC6X8Z/Vtvfhs5joYt2gDQoG0PLvy7nxIyO8qUKkve9wtJvcaiARjGPIGYGKKTErh77QKVa7dER0d5QbRyjdrMmzqO3b7b8dl/BI+KlbJN9jwm+Xgf8jrb6mvarDnhYWFUUCPjwiVL+WvceM6eOU1AQAANGjRUjLcJCQncuX2Lp0+foqmpSeDz5wQGvSJ/gYIULGRJnrwmRLwP5uGDB/zSrTvbtm7hYoA/lwIuEhr6gdDQUDzKV+DoiZPZ1haBQCDIaTJUIE1MTJgwYQLDhw/nl35DlMwaMxNG+1tFbkLy6NFDmjZoQM269Rk7aRof4jT4EBdNUMhHpi7dxpvXQRjmK07c3rZpdpbFh7nsPzyQD2EhVK/TWG2e4SNH0bhBPWrWqatkvpKRqYs6k6TUJki2Ds6c9b+KiWXyuYC5cyUQHx/Pm9evef36Ff6Xb3H7+iUiw8OJj49FVzOJ2LhYkKBeoya079yVwibJAYA0NTXp0KFDmv22evVqJaVx5MiRFCxYiNi4WGJiYrG1d0BfX5/3796hn0uPqKiPhLwJITDw+X9lRv+Bjo4O69euYfS4iTRp4c3m9Wt4/ODBT608pncEh5Zebswc66d7/UtRrlw5/hgzhol//413y5Z4t2pFqVKl0NTUJDg4mAP79wOoNQWD5IWIo0ePMmH8eLxq1eJFYCALFy6kUKFCiiioAA0aNsTHx4cxY8bw6PFj3NzcSIiP5/KVK5RzdsazevVk81ZQmMsC/PnXX/Tp04eePXvSuHFjzM3N+fDhA/fu3+fd27eMHz8+3fbdvXuXv//+m3r16lG0aFG0tbU5ceIEQUFBaZprC348PD09efbsGRs3bqRZ5z7p5k0ZRAayflRGTqHOXFVuCrp3+3pWL5jGn9OX4uxeSZGex6AIv0/YQB5TCwpeV7P7Kv333xJ3Z7HprjVlnBywsPxv8cfIIFmRtLcri0elKpw/fRL3Cv8FvVHXP6n7UC6PnJfvlS0UDIwL8eH9O54+fY2+wf8jwFoYEvUxkvchr3n/Nph7d24T+Pgu8XFxxMfFkktbIjY2lrwmpnTq2Q/PKv8dG6Sf15xeg4YByuNyHv3kxa4qFcsrFjoXzJ2DRf78GBoZ8/rVKwoULESxkqWIiY4iNiYWTU1NIiMjuHvrhpLMtRo2568/RhMXF8e+ExcwNctH28a1GTn6D6V84ggOweeSlvtTdvI96wCCzyfDp+/m5oalpSXjx4/nwJ5dNGz6YwU2mTpxIu07dqTP4BEq1/KampHX1AzU7D7Kke9CPrjqQ83WndFK4/D0UydPAPDP/v00bKReyfxUBo0YQ7+u7dm6fjW5DQ158fwpz548xjRfPvIXKIixSX7KOrogs3FAR1eX4pam6OnlIi4uloG9u2NlXZbCddWb+6Um5QQfks/p27JjB4aGRuSxsERDQ4OH9+/h6eFMPnNzypSRkdckL23ataNh4yYULVZMYUL49kM40dFRFLIsTEJ8PCVKl87WfvmR0DHKh45RvowzfiHatGmDk5MT69atY83q1YSEhKChoUHBggVxcXFh46ZNOKc40iYlzVu0IOTtW7Zv24aPjw8lSpZk1OjRnPj3X/z9/RX5tLW1WbZ8OUuXLOHAP/+wevVqDHPnxtbWlnr16qUpW6VKldi8eTNLlyzh77//JiIyElMTE6ysrDIVmMnc3JwiRYqwfv16goOD0dDQoFixYowfP57WrVtnvbME3yU2NjYMHz6c2rVrU7tlR3LnTvsIpu+NqI+RLJszkSVbDqpYzAAUKWEDMTEYhz5XO+5B8nioGfWENyG6VHFopjZPXFwcz/8fWOui3wXcyldQm+9TsChUDLcq9RjXrykFi5QkKUnideADoj5GYmZeAFPz/JgXKkZJa0f0cumjo6tLiUKm6OrpEXDuFH8O+ZWjZ/wy7UYiVx7l2NjaM27ydHLnMcU4T14ARv7WF98tG3CvWAU9PT2cXd3p1KMPdra2lJZZoaOjw6PXHyhnXRIDg9yY5TMnOjqaUmLsEwgE3xmZWj7Q0NBg+vTptG3fnopVqmJq9u1MZD+Hd+/ecWD/PvwuXUk3n/69v9K9Hp+QRN6wsxQvNUnt9X1797B+3VoOHfuX1i2aMXXGzHTPg8wqrh4V2H3sLE8ePSAyPJwypUtRSmal8F+8HxiqlF9WJK/i/yfNmEuPTm3JtW4tVatWVTqKJCVhYWFMmzaNJUuWMGDAAPLlL0BcbCwOTk7Y2tkn5/n/ildpmRXdevfln7272Lx9B2ZmquZfsbGxPLx/F6+6ybtq+Szyc/LYkc/tCsEXxNramkmT1L/zKVm7bp3S3xoaGvTu3ZvevXsrpdeuXVulbK5cuRg4aBADBw1SW7elpSW379xRSbe1tWXe/Pkq6SkD7/Tv35/+/fur5DEzM1P4Pwp+buzt7albty5Tx45m/PS5X1ucbOPkkX1YlXVQqzzKKft+WYb1BL2PwdXsEbp6qpYjkiQxtG93bOwc6NqrD1s2rMlWBRKgdY8RVPJqStiHt0iShKOLE/ks/gvKExGtvJNnXSQ5LoGLe0WePHrAL21bMmnmXAoXKZqm7/b1a1f5c/RoSpUqTccuXYiJT0JKSqJJy1YULVZcaTd12JgJ+J05RRkra/6cNEORnnJ3NeRNMG9D3mBukbxjmy+fOVevXKb4F46kLhAIBJ9DpvefPT09qV6vOZ3atmXakk1o6+goKSKQc9vZGUXz/BQkSaK4ZUEAClla8io0Rul6yuht8qPDpdQrsf835QkJi8XUUJcKtgVV7hP4/DmD+vdj09btuHt4UL9hI7p16cSmrdvR0tJSMeVJ/Xd6JkhKf2sZU0SWHJgg9XNJ/XdKmrdqQ14TE4YMHcrTJ0+o4eVFnbr1qeNVg9KlS/P69Wu2bdvGpEmTqF+/PlevXqVIkSJcevxWUce9oDAACpj+12fjJk/n/OkTFLcsyOHjJ6hQ8T/zpXNnzzJ4YH8iwiOYMm0qxrm00CYRra9/EsUnk5l3ND0TVcGX4VOegbpor4Kfhzlz5lDWoRwLFizFq3HyDrR10bxKeb5lk9XUPLx7k+l/DqZ4KavkMqmUrGJlkheINeNLovHyabKZTUpSBEQODo/FSK8Mno7K58K+fv8Rn01refLoIWt9DyMlRLPEqzLbt26hfpMWauXKah8aGCUvkFo5OinS5AqiHLkprWphXRav3si08WNo0aA2cbGxNGnZBtfyFalevTq59PV5/PABi+bO4uypfxk+chRdunZDR0dHMd7J25nyHiampuw4eIIKdiW5eOEcB/49o1jIjY2NZf3qFUz8cxRNWrTCJI8h0dHR6OhoKx03JBB8CfPT7CAjOSNivo92CD6NLM2MuvYbjq6eHhOG9SE87ENOyfRFSEpKonSZMpQoUTLjCI8F7NO9/P5jPPGG5VXSJUmiY7s29O0/AHcPDwAWLF7C61ev2Lt716eKnu3UqFUHv0tXePT8BXXrNeDs6VN4enqir6+Pvb09x44d4+jRo6xevZoiRYpkqs6EhARu37oFwN/jxpKYmMiB/ftYu2YVdWpW59bNm0R+jKRaxQqYGuVm+ZIldOnWLSebKRAIBFkmT548jJ6+nHWLpnJ41+avLc5no6mZvNPm3alnuvkiynYhRs8i3TxBH7QI01Y1J3947zZLZk/h79lL0dHVxSyfOUvXbWXimBFEp4q2/LXQ1tZm1PjJnLx0m427DmJoZMSm1ctxtS2NdRELurRpQdHixbly4xY9evXOdLCwC2dOAHDvzi327tzBq5dBHDt8EKcyxRg78nfi4+M5cewIZSzzYVM0P0bGeahStVoOtlQgEAiynyxtGWppafHXjKXMmzyaKaMHsn3X7m/iAPNPQUtLi96/9uXqlfTNVwEM6yefJ5d6dffEpusA3Io8h5GhqUq53Tt9SUhIYOBvgxVpOjo6jB3/N3169qBa9RrAtxM0xtDQkM6//ELnX34ht642UVFRGBgYfNIz1tbW5nFgEMbGxjiWtaFRvbqcPnUSUzMzlq1cTXx8PGdOn2LM2HFYWFigq6v73b5LAoHgx6Zw8dKMn7+RycN7YmicB+su7b62SJ9MSZkNsrIOWBYtmWHed1VmqKQ92Jw87iVJSdwN245nadUzohdM/5tufX+jZBkrRZqtgxMVq1Zn+t9/Kpl3fguULF2GfkOS4yDoaCZvscp9I42yaFlVu0ETrj98ztXLlxg7ahiD+iQH3rJzcGTK7AVs37yBEiVL0bZjF/Ry5UJbW1sEIxEIBN8dWbbN0jfIzeA/pxH24T1jhg9RCaryPbF3927q1K37WXVIkkRoWAhGhiYq1wICAnB0claKXAtQvWZN3Mt7sNNH/fla3wIaGhrkzp37s5Q6c3Nz9PT0mDR1KqdPnaSFtzc7du6mZ7df6Nu7J2dPn6Zb504kJiYK5VEgEHzTFC9jw9CJC1k0ZRTnT5/42uJ8Mq9fvuB1UCBlHcp9Vj0RHz+gp6OPtpbqztyNq5ewtnNUSf/j76n4btlIVNTHz7p3TqKrq/tZ5zNra2tjapaP6l61KVqsOACbd+7Dxb08DWtWYdPaVcydMZWtm9arHJUlEAgE3wtZ+nr95yuhwa+jpjF5eE98t21jwJjpuFXxwkVmrlIm9cpaRjbTG9eu4vjhg1gWKYqDUzks8ufHvUIlpeMdMjr6IjOERSdQqGgxbt6+R/V6mbPTTu1P4dnOgbs3r2GjWYymbbxU8vfoP5hqbk70HDCE4iWSV3vlfh5GJha8DHmvuqv5z33le9STqdSbke/pp/iIZjVsuEvJzAdS6tS+HZ3at1Pco1XrNgT4+3P11m1+7dWTyuXdqelVi0aNm1DV0zNLcmSGjPojJ0Kmp6xTSnHEhOD7I6NnJ3wkf3zkY1+B4jY0aNODX3/pQNFSNvQfO488pvlws1Id+1TqSPWtT+nLHhkexoLp44mO+ohlsZIUL2NDqVKlKCUrq1TGOPfn+//LI4Z+eBeCeYFCGOkr15naJzL19XJdXUhKSuLQnm3Urt4UG3tnFf/FPkPHMm/a38xZ7Qv811ZJ0kFTS4v3oZEkolxv6rGvXFXloDKp+zj1sR+Q9bmAuvlIRnVYWeZJ93pK9v7/SCOAih6urF2xlBWr12Bl70KLBrU4cfQwTi6u9O3TG4sUZ+AKfhy+F39GgSCrfNLyV3x8HJfP/4v3L/149vAuCyaPoPQuBwYM6EeNWnU+SZCI8HAWzJ7Bvt2+DP9jLC+DXnD00AGePXmMJEnYOTqhp6tHGStrGjZtTj7z9H0z0iIpKQmf7ds4e96Pxw8fYmr66RFlw0I/4Hf2FI1atFG7g2ZiYkq7Tl34fcCvLFu7ERPT/6KRBr8KwtnN/ZPv/T2zcu06JElCQ0ODxcuWc/7cOQL8/ejZrSu9fv2V34YM/doiCgQCNcyfP58FCxZgbW3N7t27FekTJ07kwoULvHr1iri4OAoUKEDNmjXp2bMnJiaq1hkp8fX1ZeTIkWlenzVrFg0aNFC6f2ry5cvH2bNnP7FVmSfo2UMSExLoOOBPLp89xqjujShjV46lK1ZgaKRqypkRkiTx9NF9po0ZRJFS1rhWqs7zxw84tncbS25dxdmjEnq59Mlrmg9bR1dq1a37ybtWoR/es3XdCkJDw0EDoqM/3Rfx1tUANDQ0sLJV3WUEqFKzPuuWzGL7+mW07NBDMT5GR30kMSFBocT+TJiamhIeHYuGhgZh0QkcPRvAyeNHOXf6JJUreLBr7z7K2tp9bTEFAkEqfvZxLy0yHIkCAgIoXLiwUlpsTDQaGhrUqJ8cTc3RrRLTRvfl4P5in6RAHti7i6H9+lDZszq7Dx1XUg4TEhLY47uDmJhooqOjuXLpItMnjqdaDS9+6dknS2HBJUmib+9eXL92lUbNW1FGZkUz7zZZllde19kTR5HZ2PLu7RvymKj6QAIMHfUnfbt3ZuLYP5gxbzGQHMb7+pXL/NJb9QiBnwX5hEJDQ4OKlSpRsVIlSpQsyS8dO9C3/4DPMiESCATZz4MHD1i+fLniHNeUREZG0qJFC0qUKIGuri63b99m8eLFnDlzBl9f33QDkHh6erJ161aV9IkTJ3Lv3j2qVKmicm316tVKRw5lNsBJVggLC1MZ+8Lev6W0rTO25SpQpU4zZv/Rm4unDvHk0UPsnbJmEhoXF8uMsUO5fOE0rbv0oU7LX5QWIqNCg/E7fRxtbW3evX3DltULmTdpJE1bdaBlh18wy5f5RdRXQYH0atcU94pVyVegCGOmLaZoiU87ezAiPJRbVy/iVrk6b16/pEChwip59A0MmLp4I/06NsLa1hH7cslB5M6dOEy+/AV/WpeFlO02MjamYdPm1KxTj4jQ98yaMYMVq9d8PeEEAoEKP9u4lxUyVCB//fVXIiIi6NSpE5b5kgUP14lTciy3tnch+mMkm9auoutv41k6awJN2nShUOFiKiY3cjPQ61cvcWT/Xo4f/oeojx9Zs30Ptg5OFDLRVxGxeStlJe9VcAh7fLbRt3sXKnvWYPhffyut/qozbfkYE8+ZE8c4e/YcvodPYmCQW+laajIKhx4d9ZHAZ094+eI5ufQNeHD3Nh+rVMGySFFFnpMXXwBQpGw1ju5ex86jt7m65zCHjq/FtownL65qsrFRF6V6W59QPmss5dEYcrLDZDU12VFHVu+R0sxz6+ZN9O7Rg4SEeA7+c4DGTZpm231zwkRVIJCTmJSEJElK79mX+D19SZKSkhg9ejTe3t7cv3+f8PBwpeupz82sUKECBgYGjB07lqtXr+Lm5pZm3aamppiaKi/AvXv3jjt37lCnTh2MjVV39uzs7NSmZydNmjTh33//pUiRIgozTn1dLaUjFyrUbMSlM0fZts2XF29j8Dt1GO9f+pPXUH1wtNiYaM6fPMK5E4fxO30cB7dKLPE5jV4u1fxlSpegTOn/IlP3/e13rl65zp5t62hTrxq/DhtHzfrNlMqkHm/lpqOzJ4+nZoPm/NJ3mMp9Upuspv47Nc8e3ScmJpqr/ueIjvqIlZ0julUqkyvXf2P35VNPAChkacOpg+d4dzaC6w/OcvjCJnq3mMi4Ul1U6m20d5rS3ymP0gLVcT07As9kpo70xq3Pva8kSbRs0IgL584BsHjZ8q8+KRRkHmGe+mPzM457WSFD550tW7YwZMgQHj58qEjT1dMjKuojp4/sJSEhHgNDI4ZNWkQ+i4IcO7CT7euW0qF+Ba5f8lOp7/3bt3Rt3ZTfev2CpqYmk2Yv5Jj/dWwdnIDkD+qyJYupV8sLz8oV6dqpIxf9LijVYZwnLx269mTvv+eIj4+nd6c2JCSk/0MO/fCemRPH0n/oCCXl8VPRN8hN+6596NJ7IE1bdcA4T15OHT+iNq+9WzX0cukzoLU7x05uws25NrVrtMGe9UDG53b9DEybMpmEhHgaN2mSrcqjQCD4fNasWcPr16/57bffMl1GbsLzKSaXu3btIj4+npYtW2a5bHbRpk0bOnfurJRmaGTMnWsBPHtwG4Dy1RvgWN6TwCcPOHNsH5uXz6Zns8pqj6oIOHuC9vUrsN93E/blPJi78RDDJi1SKI/hYR+YN2Eow7o1ZWQvbxZMn8CHd2+V6igps2HQH5OZtHA9axbNYL/PxgzbcdnvDFf8ztDml76f2hVK2Di40LJjT5q370b1uo0JfhnEgzu31Ob1qtuZw/tXMm1tb569ukvXxn9SyNySdp2iEGMfPLh/n4v+/gDs3n9AKI8CwTfEzzjuZYUMW1iqVCnKly/PzZs3KeJQGYBcufSp17gF27ZsIfTdW/LlL0h5z7poJMZxZN8OXMpXwdA4L+OG9mTgiL8oXqoM70LeEHDuFEcP7KZFmw4s3+SDlpaW0r0+foykSfvmvHkTzMTJUzEyNub6tav0+qU9zVq2YciI0ein2L41NDJm0uyFdG/bnKF9uzNh+lyMjFUd3M+dOcXAXt2pVb8R9Ro3/9w+S3F/I8V/K1arydbVi/j4MZLcuQ2V8uno6DJw3DIAwq++BsCG7ZhpPKF5Ky18t2WbSN8lIW/e8PDBAwA8a9T8ytIIBD82r1+/VkkzNjZOc2UzMDCQefPmMWPGDAwNDdXmkZOQkEBcXBx37txh7ty5uLu74+io3k8uPXx9fbG0tKR8edXzdQHq16/Pu3fvMDMzw9PTk99++w0zMzO1eT+VNm3asHDhQqW0EjJbXjx9xL0bFylWJjnATc/hUzmweTHPH93H0b0yMdFR/DW4G96deqGvb8DzJw85d+Iwd29eZcy0JTi6Jrcp5U7f9YtnmT32NypUr8cvA/8gPi6O6+cP06GJF8PGTqGal3K0cCtbRybOX8PALs3Q1NKibpPWKmahCQkJrF44jX07NjJi0jz0s2HhFJKPwJJb/FgWLUF8fDwvntzB3tlVJW+x4rb8NXkvPHyvSLPJvZv8+ZJo3irxpx/7Nm5YT0JCAnp6epQuXeZriyMQ/NBkZez7Wce9rJChAhkZGcmNGzfYv38//uMnMfiPCdg5uXD2xFHcq3iRL39BIHlQqdOkFXWatFKUvXDqKMf2b2fbuhXkNTHFoZw763bso5TMSu29ls2fjaGRIT679yhW4tw9PKhcsy7jRg/H08OZuUtWYu/ioSijqanJwtWbmDr+DxrXqMiMRSupWjXZdjjw+TNWLlnI3p07mDBjAdVq1vr0nsoATU1NLIsUJfDZU6zLZuQIH4c5dwEoa5uIL3HAz+vzt2LZUurWq8/kadMpWaqUIj3oxQs0NDQoWKjQT+szEx8fj7a2dqbaL0kSCQkJX2wV+8qVK6xetYorV68SHhaGqakpbu7u9OjRgzJl/psMjRo5kmPHjuH3/5V2wdelffv2Kmn9+vWjf39Vn2xJkvjjjz+oXLkyXl6qkaZTcv/+fRo1aqT4u1q1asyaNUvlGKOMuHr1Kg8fPqR///4q732RIkUYPHgwNjY26OjocPnyZVasWMH58+fx9fUlT57MR8jMiEuXLpE/f36qVq2KaRErWv0ygOioSN68ekG1xh0U+fKYmNFzyDjF3/HxcezbtJRNK+YTFxtLwcJFqerVgBF/z8VQzQJnbEwMCyeNoOfQ8VTw/E9RrFfXi6o16zLpj6Hs89nCmClzQPs/JbBoiTLMWrGDv4f/yvmTRxk2bibGufORmJjIZb9zLJw5kVwGhizbdhgz85yL8FnQsgiXzh4hISEhE6vucZjnSrZm+tnHvvj4eHb5+jBx8lS69uihmKTGx8fz/Pkz8uUzz9b3WSD42cns2Pczj3tZIUMF8sCBAwA4OjqyYsUKurSoy5I1G3FytEPSBOuieRV5g0KUz3YqX9ULW7dqSmkW+QyU/AvlIbFfBgWxZO4Mxo8fj4mhgVIZF5tS7N3pwz///EOzZo04ff4CxUuU5N3btxQuUoSAkI90Hzye6NhEenb0ZvvBs8TGRNO0hjst2nVh/e7jaOvnVZIvLV8ROS/fq5ogFTJVluvyqktKf+u4FWb/P0eJ0siLQW5DDIz0VOrYO2YWzVtFo2EvISWBpib06GDM1X+SlU5Px0JK+X+kA4ZT+o5s2bSRHl1/Ufy9dMVKFsyby6F//sGiQH5yG+Tm+rWraGlrY25uzrCRo2jp3UpdtT8s8fHxDB0yhOIlSjBo0KB0lUhJkpgzZw5PnzxhxsyZOa5EbtiwgcmTJuHs7Mzw4cMpkD8/zwMDWbd2Ld4tWzJ9+nRq1a6dozJ8y6R816Pivi0/mY0bN1KgQAGltLR2H7dt28bNmzcV40B6FCtWjB07dhAbG8udO3dYtmwZXbt2Ze3atejrp/ZtTxsfHx80NTVp3lzVWqRp06ZKf1eoUAEnJye6du3Kxo0b+fXXXzN9n4xYunQpTZo0Ydu2bZw+fRq/E/+w+9hZ7l00pFQBAyVrl7uBYSlKauDVqjderXor1Sfp6CjtOsr9Kg/tWMProOdUqVYT/VRHZpSvUh2fI+f5e9Rg/hral1mLlhMZEYFZPnP0cuXi5fuiDJy4jPl/9WfCqEGMnraUzctns23VPPqOmkLNhq3Q1NRUe185wW8ilf4Ofxaq3BF2ysrng83XVfpKJ08+/vnnMM7lq6GhoUGBVGW29psEkDz2mUlIUvLY17ObGdfOJO9cVnNVDsajLpbBlyAj/+XPPSbL0iKfwpeqZMlSlChVklbNmxH4/DklSpbk+bNnxMbGEhYWSlVPT2bNmUchS8ss31OQdYRP449NZse+n3ncywoZqsgtWrSgatWqjBkzBoD8BQvyz95dPH/6BB1tHWJjYj5LgMTERNasWkWl8u6MHP0Hw4cPV7oeHh6OlpYWf/31F/Xq1SM2Nhb3cs5YmOTBpkwp4uP/+zBbFCxM3cZt6Opdn/CwMBzKuVGitAzTfBmf0ZUdFC9tTfHSZTm+fzuxMdFp5IqjrG2i4i8NoIDsLT+bP0jLVq2ZMn0GefLkwcjIiBXLl5HbMDc79+1j8tTp/NKtGzfvPeDx8xf82n8A/Xr34rcB/Tl98uTXFv2Loa2tTfESJdiyeTNz5sxBkiS1+eTK45bNmyleokSOH059+fJlpkyeTPUaNVi7bh0NGzbE1c2N5s2bs3nLFqysrRkxYgSBgYE5Kofg0yhQoACFCxdW+qduEH3//j3Tp0+nV69e6OvrEx4eTnh4OAkJCSQlJREeHk5sbKwiv56eHvb29ri6utKxY0cWL17MtWvX1EaaS4vo6GgOHDhAhQoVKFSoUMYFgEqVKmFubs7Vq1czfZ/MMG3aNLZu3UpkZLKClZSUxOF9e0hMSCA+Pj7N32NmCX3/jimjB7Jz00pmLNuq5J4BcHCPL26lLXgZFEi7X3py+vhh3KyLUd3NjsljRynyJSUl4ljek9cvnjFzzADKVaiGQW4jPKrWzvIq+KdSsUZ93ga/4qrf6XRypRr7NCB/sVf8bGPfOf+LtGnbDj09PT5GfWTpokV06doV3717GfDbb8ycM5c7Dx9x99ETEhIS8apejWmTJ/EyKOhriy4QfNdkZuz72ce9rJDh6KKlpcW6deu4ffs2a7f6MnXWfI4dPsTeXb707OiNu01xGnqWp1yZwvRpW49/dm7m2eMHGd446mMkv/XsQCFzMzauX8ee/QcYNeZPpeMbYmNjsbW1RZIkPnz4AMDZs2epnsJPztQoN2/fvEZDQwP3StUpXlpG799GMLRPJ+o0as75U8c/pV8+GVtnd0zMLHj+RH0fNG+ViKYm8P+5h0TyQOpU777a/D8q2tra9O0/gKu37nDWL4DjJ08zYeJkZDIryleoQAvvVhgbG6OhoUHHTp3p2bsP+/ftxbt5U1o2a8qzp0+/dhNyHA0NDQYNGkSbtm3TVCJTKo9t2rbNcKcyO1i+bBmampqMGTNGxY9ZX1+fUaNGER0dzdq1a5Wu3b59mw4dOuDs5ETVKlWYPXu2SvCrLZs307RJE1zKlcPN1ZWGDRuyfPnyHG2PQD3BwcFEREQwc+ZM3NzcFP8uX77M/fv3cXNzY/78+WmWL1u2LNra2jx58iTT9zx06BCRkZFZDiIgSVK2K0vFixfn/v37nDx5ksVrt9CouTfzZkzi7MnjNKzshJebNR0a18S1lDmbFk/h/LF9REdFZljvrSv+9PGuTru67hjlycsKn2OUK68csv34P7vYsHIRAPFxsVjbOdJn8EgM/u9fv3ntSoYP6E1SUhIWBYtgUagwXX4bR2xMNAd9N1LWyY0bl85na3+kh16uXFSr24yHd68TH69eIVQZ+6Tksc+xsuqO5o9MseLFWb56DWf8/Ll68zb7Dh6iVZu2lCkjw6tWbWrWSna1MTY2ZtGSpRQtWpR5c2ZT3s2F6VOnKC2aCwSC7OVnH/eyQqa3KgoWLEjzJg0BMMuzjUb169JvwAD+HDeBhw/u8/7de1YuW8LL+5dZt2gaefLk4ejRo5jICqqtb/++U0S8f8OrV6/SNJ+Kjo6mRYsWlC9fnnr16gFQpkwZdPVz492uE83bdKBt49q08ipHwMM3ODja8ezhDYwtilO1TnOmjxtJgcLFCHobpWKmU7qY8iGfqU1WX98MVhUolVnOi2WHlP4u0NQGAP08+Xj58iUxk++lqiCO2h0S0dAA6f9zfE0NDUDC0uY9JSb2U9sPPzL58uVTe75OSs6cOkXJUqU5538RSceAZQvmUqViBYaMGM2A/n1/aP9IuRIJycoVoFASv4bymJiYiL+/P2XLliV/fvV+VY6Ojpjly8f5/4emB4iLi6N/v36079CBPn36cObMGVYsX05EeDh//vUXAPv372fixIn07NkTVzc3kpKSePr0KW/evMnRNgnUU7RoUdatW6eSPmnSJKKiovj777/TXS29dOkSCQkJFCtWLNP39PHxIW/evBn6naTkzJkzvH379pOCFmSErq4uZcuWJU+hEjRs1IjXQYHs372Tq/efkpiYyKuXQdy6cZ1jh/7hrt8LVs4YSfNWbZg2Z2GadS4av44uXbvSuG03JWuBlG4UBoZGtGjXGSPjPJSxtgXAo7InG1ctYfYqX86dOMT2dUvRNchD7yF/UqtWHQ7u3kK3YVP4vVNtwj+8Q+bowbMHb1XuX6yM8vdWxWQ1RcAbgKhieZX/Xn9Rpc6IpjaAFtq5DAl6+YqoeXeUrldu3Bxb+3WKse+/75REwZLBFBzaVk1PfR1SH9ORU0fyWFvbpHs9ISGBHdu38fvwkXjWqMHtB08YNWQg27dtZ+6SFVRwc84RuX4WhLmqQB1i3Ms8n2Tr5lmjBrPmzqdCpYro6+tj75DcgAZ1k32ekpKS6NOnD7Nnz2b85KlAsjIYGxtL3rx5AXB0dOLNmzfs3r2bjh07qr1P3rx5mTNnjlLa3r17ObR/D7uPncW6rB23At/x6PFTNDQ00NDQoJTMhkuXrlGugic71i4kKjLiU5r4Wbx4cp8SVvaA8r0dKl1HPmz+N82X7yglkXhmLtQfhSCZ8PBw9uzaRVhYKG3atcfMzIyw6AT6Df6deo2a0KdrRx7du82sufNy3Gzza5KWEvmllUeADx8+EB0drXLAemosCxXi/v3/dtVjY2Pp2asXrVu3BpLNL2Kio9m2bRs9e/WiQIECXLl8mTIyGf0HDFCUq1SpUs40RJAhuXPnxsPDQyVdvuAnv3bx4kWWLl1KrVq1KFy4MAkJCdy6dYs1a9ZQtGhRvL29FWX9/Pzo1KmT2sAFgYGBBAQE0L59eyVLlJQ0bdqUpk2bUuL/ptpXrlxh5cqVFCtWTG2AhOxEQ0OD6XMXUap0GUzN8qGpqUn+AgVxKudK+85dAQgN/UA1Nye6dO9NWTt7AN4Ev8bcIr/i91mzdl3mTJtMtXrNMMtnofZe5avUVPHTn/THECyLlMDW0QVH1/J06DlQYZGQ19QMI+O8hLx+gczOhYunD3/xsS/s/Vtio6PJbZiH1BEEbEqeSjX2pbSkSIKA+VBr5JcQ87vg7t07HDxwgBIlSih2JIsWK8767bvYvnkDbZs1ZNnKldSuUzeDmgQCQVYQ417m+eRZd49evdK8pqmpybhx47Czs6Nj127ky2dO0YL58axeg73/HASgcJEi7NyzlwZ1alOmTJk0w9amxsvLi7wmppj9369RW1ubQoWLAhAZEcGlC2cpZV+BAoWL0cC7M47uVdKrLttJSkoi9F0IRUvZ8BxlM9bwD0YUKvkqzbIaJkVzWrzvgpiYGI4fO8rDBw9wcXWjQsWKKtv0pcrI8Nl/hP7dO9GqeTPWbtyE0f+PVfkRSa1EyhXJL6k8ZoVk02xlmerXr6/y99atW7l86RL1GzTAwcGBzZs3M3bsWGrVqoWDg8MP/Ux/FAoUKIChoSFLlizh3bt3JCYmUrhwYZo3b06PHj0y/Qx9fHyQJIkWLVqkmadkyZJs2rSJN2/ekJCQQIECBfD29ubXX3/9IgcsG+fJw7A/xqZ5PW9eEwYPH8VfI39n255/2Ll9KwN6dWXL/9g76/CmrjeOf5Jq6u6lRpUKpRR3d3dnyGCDDebGlI0J29jG7DdjMNzd3d0pFGih7u6S/P5gdCSVJG1qcD/Pw/Nwk3PPeW+a3Peec77v+27ZSYfOXQEYN2kqMVEPeXvudL77Y7XK5TV69R/CzevX0P43QZaxiVnZe2HXLlFaWoqVrSN9Rz6HiZkl3QaOQVazFAVqkZ6aiK2jC/oVXE9unjkiqweVn2yq+mr908zDBw84d/YMCQkJjBo9plzyHJFIxKhxE3H38GTm5LG8u+ADnps+vZ6sFRB4dnmW/F5liGSVZAKIiYmhe/fuHDx4sGy3QVHaURmFhYWcOXWKmzdv8PVXX+LvH8CpkydwdHLiyLmrcg+WV08dZsqUKRw8eJCAgACVxnh5/qtkpKez6NsfkUql/PjDUoJatiUlMYHMjDTcA8vXEjw69BO5Y29T+VIiBh/JZ4zUNdMv10dRhoI3VpT6rLhAgbSAi4WXaS9pi/vG8jurillWlVGdLKy1JbnRNJX9rY8cOkRychIdOnbCXkEqoCg7KS4u5q1X5vIwMpKVG7ehp6fX4DLXdm7XhnPnz2ukL5lMRpsnVsfOnD1bp5PH0tJSQlu2xMvLizVVBIl37NgRE2Njdu7axTtvv83u3bu5rBDsHRERwYD+/XnvvfcY9+8q2sYNG9iwYQM3btxAJBIREhLCvPnz61WmoQqtQkM5eupMhe/FxcYysG9vuXtpdXh8T3aPcEWnRP3feLF2MRHuD2psx9NORb4vNqOypGjyREc9JCcri3kvPo+2tjYZ6Wkkxscze95rjJ/x3856aWkpn7/3Cgnxsfy5ZsujTKl5VSeTKcjPY1jPdrz96Q8EtWxDbPQDjh/eT/tu/Tm+fzuBoe1BKl8T7OyUr8r1Y60rL2F1mtlbvkFTC/njdAW/l1o+Q3nB7jtE5N1DJpPhYeiJ669D5N5X9Hu5BeXv/epmXa2v+7wm/GtFvq+0tJRffvqRVq3b4OjmhaGS2nOREfeZMHwQs19+hQlTpjU4v9fQECSrdU9CXCzjhvYXfN9TSq1EX771+msM6NsbW1tbdu3bj2+zZvzx93J0dXU5cfSwXNvevXszefJkvvnmG5X7f3H+Gxw/fIAzJ489yoqUkc7xA7tIToynbWfVNcS1gRQpDWsvqHHxIDKSS5cu0rN3n3KTx4rQ0dHhyyU/YmNjy5Qxw5/qBAOPYx6fpKrsrLWBlpYWrVq14ubNmyQmVhAnDFy9coXUlBTatmtX9lphYSHZ2fKSutSUR/FZj2XtAMNHjGD1mjWcO3+eH374gYyMDGZMn05mZiYCAg2ZvNxc+nRqS8+Orfl7/XZmvfwaoW3b8+2vf7F2xTK5hFFisZgPP/+G+3fDuXDmVBW9/oe+xIBZryzgu0/fJj8vj/zcHLIy0tm96R+c3b1wcm1aW5emEjKZrMEpIRoTu3ftxMbGhtBWrZROHgHc3D1YsWErS75axNqV5WO2BAQEBGqTWplA5uU9WqF856038fb24fMvv2LQ4CE8N30GWzb8t2ux5p9HdVJ+++03unTponL/RsYmfPn9L7w6exq7tm7EwcmF0VNm02/YWDlZT32gL5KgI9LhXMF5Ht69Va+2NEYkEgkikahcds+q0NLSYunvy9DW1ub7r7+oRevqD8WEOWfOnq0yO2ttMn3GDKRSKQs/+QSpVCr3XkFBAZ8tWoS+vj6TJk2Se0+xptKuXbvQ0tKiRUhIuTEkEgmdu3Rh8pQp5OTkECuksBdo4BQVF1H0bwbSc6dP0K1XXz79eindevXF3MKCa5fOAY92muZMGUULT0dMTExxdnFVeYzOvQbi3SyIRe/M5fK5U7Tp3JvB42bQvFUHte6ZtYGlrjXR+VFczrxITlZGvdrSGDGQGKgdy+/u0ZS1W3bx2YcLCA9XTNonICAgUHvUiuZhyQ9LcXJyIjdPXuriHxDIl58vYs6MqYTfvkVSYiIXLlwgMDBQ7THaderKi6++yZefLODjJX+rHEdS24hFIkL0WpApzeTa+eM4uHigo6tX32Y1Gmzt7DA2Nibs1i3c3Nywtqk4yYQiYrGYua+8wccL3oKPPqxdI+uYyrKtVpadtbZp2bIlb7zxBl9++SWTJk1i7Nix2NraEh0dzd/LlhEZGckXX35Jkyb/xfTq6enxv19/JTc3Fx9vb06cPMm6desYM2ZMWWHf9xcsQF8iITg4GGsrKxISE/ntf//D3t6epk0f7a6cO3eOKZMn88KLLzJnzrOXtVig4WJmZs6OA8f4/usv0daWl1l5+/nz4+JPMTO35Nb1y3h6+3H9YbLakz6RSMT8979g/tRhnD1xkN4jpjSYXT8zHTPamnfgQd597ly/QEj7+lUDNTaa+fvzz4rlxMbEoCUxKVcXtDI8PL3o2bcfx48excvLW/kJAgICAhpArQmkooa8Ms29RCJhwYcflXu9fYcO/PH772RkZOD56jyaN29OiUhL5djKxzyOlZjx/GwK83L54r2X+WXNbnT1HsUtZm4ov/OXVSIvnzufKp+KvPO9lvIntCwvnzw65zO54w6Dxsgdp+Wnyh3rxmpx/Me1uNr7kl+YQ3FJEXZzOmBhaYWurh6pyUlEht8iJycHFzc3mgUEVZqFSR2UpSGv6POuj7jJisbMKSymmX8Aly5e4PDBA0ycPKVcIoEneTKWprBECohU/p42Bqoq1VGfk8jJU6bQzN+fv5ctY9Fnn5GVnY25mRmtWrfmiy+/xNtb/kFGV1eXpT/+yKeffsoP33+PkbEx06ZP56UnMq6GhISwZcsWdu/aRVZWFhYWFrRq1Yo5c+dq5HchIFBbPL7HtGoRyD8r/yl3D/po0Rfs370TAwND/IO+wsXVjbxC9WOyTAx1wFCHH/9ex0vPjWH9Xz8w6rn/fkOF+yPk2iv6vYpec1SIcdRTiP/fr8TvPYmuWBdXAw8u7DqNbrgIiZ4heQXZWExviZGxMeYWlsikUiLv3yXiXji6unp4+zXDqYlrldddERXFtCm719eVb6hOKRBzCwvs7OzYsnkTJTIxU2bMqrL9k75PKoWCEpnc9TVmvycgINDwqdM7jEgkYuDAgXKvqTt5VOTFea9y6vQ5Vv7+PVNffKNGfWkaH9cQbkde4NzNfRjoG6Orrc/ZkzLSUlMoLirG1MyM4OBgnF1cCb8dxsljRzG3sMDQ0Ig+Awahr18+kc+zQEjLlmhpaXHyxHHMzM2Vn/Avp44dxtrGlrOnTtI8pCV6eo1751eVOo/1vRPZsmVLpe0+W7So7P///PNPpe0GDxnC4CFDquyrVatW3AoLq7KNgEBDw9zcglHjKi5XVR1MTM34YumfjBvYjXbd+tV7/OOT6Ip1CfRsT/jDy5RKSzCUmBB2Q5esrAwy0tIRi0XYOzrj7deMwoICjh7cT0lJCWamxnj7+NGytWoZ2Z82dHV16d23H0cPH6KgVPX7d3FxMWdPHSckNJTbt27i49esFq0UEBAQeESjX6ISiUTMePltXhw/gE49B+Dh5VffJpWhp6NPkFcHudcGju0kd/x4N9Xb14/8vDzS09K4fu0ye3ZsY/DwkTwLyGQyUlNTuX//PuH3I4iJicHBwYFx4ydgoKKMRyaT8cPiRxOV2OiHPIiMILB5Cxb/8DNBfl61aX6tUVJSwoPISKWlOp6cRD6IjKSkpAQdncaRiVdAQKB62No7MGT8TL5f+DqLft1Q7zGQT2JlZo+VmX3Z8YChnSptGxgcQnpaGpQWsmfHNkxMTfHy8a0LM+udkpIS4uPiuHXrJlmZmcTGxhIS0hLvIOULc485dmg/DyMj+HLhR+jp6VFUVMSwUWP48ssvGtR3QkBA4OmiRhPI6shBqrPjqDhOQlqu3LHIyJbh017hhbH9mLfwZyzuqy8NKo3IkDvOVziuiMKT9+SOFdOhH13yS7lzxnxQvsTIYyQGBkgMDLC1t2f96n84deIY7Tt2LtdOXWmKKp+5sjbVkbiqKuO5cOECR48excnJCWtHF7z8W+D0b/ycstTbjyfgKclJALzw8qu88+EnZGdlsXblckYN7MP23bsbZWyIjo4Oi7/+Gm1tbaU7io8nkQ1l8lgqVd6mIaBVK2nEahcjbUP0UH93vVC7sBaseTZQVxpZHYwNlMu0Y5PlfV/3YVM5c+wAL4zuzsL/bUWqWHJDBRTPyV9XdfK34jvlsy/rz20rd6wY7jHwzYoXTh9j5PgoDnrg0OFsWrcGC0tLrKxVi39/EnX/Dqq0V/zbV0eeWtE5MpmM35cvo7S0FB1TG8xtm9C8fXcMDY3QU8PfXjhzEoA/127By8eP+NgY3n11DlMmT+GbH3+Vk/8/y7JWxWsXyno0PgTf17BohI9PFdN90Fimvf4pB7aurG9TaoyWlhYDhwzn5rWr3L1zu77NqXXi4+Np06YNY8aMISAouGzyqA7JSY8mkNNnvwiAsYkJ02fP4dW336N3924c3L9fozarg0gsrnZ5ER0dHZXlqCKRqEFMHp81iouLEYmfmlupQCNCLBaz4PvVWFjZcv3Cifo2p8bY2TvQpXtPtm7aQH5e+XqTTxNSqZTExEQmTpxIx6498A8KxtBQefkORQ7t2w2Aj58/YrEYR+cm/PL3WnJzshk7pD/paalKehAQEBBQn6fqqSfq3m1MzCyUN2wEGBoZMWjYCPbv2UVSYoLK58XFxvIgMpLCwsaz4uLm5kZcXFyN+ti9YysA1ja2cq+PHj+JFStXM2PaVNavXUNOTk6NxqkOdnb2hAlxe08tYWFh2NnZK28oIFALFOTlkhgXhYnp0+H7/PwDaOrpxfYtGyktLVXpnOLiYiIj7pOYEF+nJY1qgpaWFk2aNKmx73sQcZ+Zc+bLvaYvkfDHynW4e3ry0vPTuHD2TI3GEBAQEFCkwekZVJEVZOWW380pKSlm17o/mPPBd4gvqxY39ySKspyU6AdKz9FrL5+4oGC3fB2m0Ue+U9uOJ7Gzd6B7rz5s3biejl26YWJiyq0b1ygqLsLa2hY9fT2kUik52dlkZGSQlJiAtLQUI2NjUpKS6NStO4HNW1RrbGWynYpQJuWprI/s/AJS0jPJKSyWyywHkJ1XJHdsZ1FxuZb5b7zDK2++W+F7AaHtWPjVEv5e/iefLlzI2q27sLP/L8uuKrKemshdxk2dwWuvv8GXX3yJj69vpbuEDVVO2VjkqNWhJtdWXFzM7bAw3nrrDea8NE9jNgk0PqpzD1GUcSre+1Tl9KHtpCbG4ezhTebFe8pPUECaJr/Tl3jputyxh4Gb3LFeG5dyfZTuk8/+quj71L3WFm06cmDnFnZt20JwSCiZmek8fBCJnp4+llZWiMViigqLyMrKJD0tjfi4WKysrcnMykEqlTJ4xGhMzcyVjqv4fkVU596v7JzM/BKkUilpuYVExKfgZiy/8KkYpgOVS5xvx2UgEokqvJYPP/2Sn77/hpeef44effrx8eeL5d6vjjRbmRT0WZbJCgg8Szw1v3QtLW38gtuQkhCLM0/HSiw8Sq6Tk53NhbOnycrKIiS0NYZGhiQnJZGelopYLMbI2AR3j6a0adceC8tHzjUuNoZd27ZUewJZVzyIjOTQwYMMHDy4Rv0ok3n2HzSE/oOG8PYrL/HPsj/o2r0XEgMD7B0dMdG3Lnd+XGwscXFx2NraYmhkxKWrN8nJyUZbWxtLK2vcm3qqnCW3c7dH9dDeW7Dg0SRfWvGsRdwwyrmVQ9o4FvTrHLFYjI2tHXNemkf3nj3r2xyBZxTvgFCMTMzJzkirb1M0hlgspt+gIezZsY3dO7ZiZGxMYPNgCvILSE5MRCaToaOri6mZOS6ubvTpPxBDIyNyC4o5vH8Pt2/doHW7jvV9GZUik8k4uHc3paWleDT1oiZrdFX5PkMjI15/531mzZlHx5aBjB4/kaysLOzsHbCzd8BUYizXvqioiIiI+xTkF9DExYX45Awi7t8t+7xdXNww8XRtMLVHBQQE6o+nZgIpEomY/sYiFswcgnf7LzDQrXinqjES0qo1Ia1aq3VOVmZmo4jL2rljO126dsPDo27S0DcPacmrc2axZcM69PT0SYiLpaioEB9fX9q0bUfvPn05dvQIf/35B66uriQmJpKdlYWHlzemZmaUFJeQnJTIwweRODg64ecfQJt2HRg2eiympmaVjtu5W4+yiWRlNNSVWyHZQNU01L+bwLOBg4sHfUZMYdOy7xniMKG+zdEYenp6amciLy0tJSc7G2Njk1qySjPEx8Zy88Y1Zr/0Cnp6etXefVYVYxMTHJ2c6N2pLcEtQ0lLSSEhPg5jExNatAihQ6dOdO7SlRnPTaG0tBSJREJ0VBT6BgY09fRGS0uLwoICHjyIIDc7G28fH0JahtKzd2/adO4pTCgFBJ5BnqonHxt7Z9y8/LmZcJHQJpWnDX/aycvN5eC+PYwYM66+TVFKm7btOHP6FJ5eXhga1v6k/3EM5Mad+7D9N25Nq7SA69euceL4MRZ9upCzZ07z+1/LGD32v89PcRJVVFTEg4j7XL96hX27d7DgzVcJCGpOnwGDmPnCS0hULD8iICAgUFM69hnGK+O6MWDMaLS1nt1EWjeuXqa4uIjmLVvVtylVYmNnh72DI6dPHFO6sKgprl6+hJGxMdv3HwUe7YLmZyRz/vw5jhw6RNeO7ZFKpWQX/Bc2UtHioawwh7Bbtzh39gzvvPkGyckpePv48vLrb9Gpa+VZ5gUEBJ4uNDqBrE5KbFXOUbY6l5ddSEF+Lhv+XEx8dCRDg8cq7bM6dBg0Ru5Yy91M7lixrEeXIAcUUXYtmoiLuX8/Eksbe4zMrFQ+X3HcuirREtKyJTnZ2axdvZoJkyaVs0MxBrI6MSxP2n7q6EEAvNycy17LzNfHL7gVfsGtmPnSa3z24QK8/IOr/G7q6uri5eOLl48vwSEt2bl1M4NHjuP8mZN0DA1ixovz8PZtRmBwCHqVSF2VfeYCjQNlf7fsAuHv+qxRnd9yde79edmFPLx3i2XfvUuHnsM0Mnm0kFjKHUsG+Msdi5qWDxEp/uey3HFFvk9dquP7wsPv4e0XRH6RFIqKlJ+gAVSJEyyPNhPHj+Wf5X8TduU8fsHyE17Fci0VUVk+gKoYOmJ02f9FIhEG5jZ07jWAzr0G8NIb77Lo4/eVfndFekZl/nLHjp3cDQ9n7KQpvPPaPFzd3Bk2ZiIent54eHlXGpspqDaeThR/s3mFgu97mmn4GkcVuXvzIif2beSF937ASM+0vs2pN6RSKffv3sHKRv0aWvVFpy5dsLWzZdOG9Spn3asOMpkMc3ML5r78cpXt3vnwE9ybeqrc76KP3wdgwnMz+f635Xz7y19cvXSBLz9ZQPsgL+Y9P4ULZ0/XyHYBAQGBitiz4Xd0dHQZN3tBfZtSr+RkZ5GUEIeFlXV9m6ISEomE0WPHcfHCeW5dv1arYyUlJuDh6cWUGbMqbWNuYcmXS35UuU+pVMqZk8dp36kLI8aM59Dpi3Tr1YetG9YyY/wIerdvwVcL3yc9/emJzRUQEPiPp2YCGdCyE72GTeX43g31bUq9cuPaZTLS0wgOadgSnicRiUT07dcfsVjMvt07yiaRJSUlJMTFUlKimVWs2JgYPD09WbjoC430BxAXE8Pu7VuZ9sJLZXEgLUJb89XS/7F+1yH2nrxIm/admPPceC6eE1KpCwgIaJbJL39CTnYmUfdv1bcp9cqurZsICA7B1My8vk1RGRMTE0aPHcfRwweJuH+vLMFaTnYW6akpGhvn6qWLvPvhQrx9/TTSn0wmY+3K5QB898vvwCNVznMzZ/PTslUcOn+db3/5i9TkZKaOGUFuPZTPEhAQqF3qXEdQGzI9A2M9AJqFtGbfpuVQjZJsimU7FGU8AGJzeSliaUSG3PHoG6/IHVdHgqPKOYqyzidJSEjGxLoJqTlSyHkkg8nOl+/Tp4mZ2nbFpefLHWtClqJY9mPiuLH8/tffvDR9Em3btyc7KwuJgQEWFpaMHjsWXV1d7sRmyp3jYC5ReTwTU1NKSkq4ePUmXj6+atlakXQ2IyOdrZvWc+zCNdwVkgA9TsOua2BK/xETsLBx4IWp45j/zsf0HzqqwjFUkeMKCAg0fGqrNJCJofw9wsBYDwNjPdy9m5GZHo8Z6ktHi8Pk6xCKreQzc4oU/J7sXvkdpZFHZlQ5Rm0kiVH0g4nJKbTo2E+uzFdsinyJEkXfV5FdivdhxZIaiuU0anrftra2ZsK4Mfy0dCml0lIcHR3JzM5DLBbTvnMXgkNCAQiPzpA7z06NZPN6+vpcOHeGnn37ayThzaXz5ygpLuZubEqF8f4ikYhmgc357Nsf+eCNeQzs2YWflq3C2cWtgt7qR9Ja0ZhCGImAgOo8XUJ0meyZzwamq6dHdm7dxH5oGh0dHcZNmEBmZgYdOnXC09MLfX191qxayYXz52nXvr3afRYVFXHh/Hmys7NIS03F3sERD08vjdh7YM8uQlu3LTd5rIi2nbrx68otvPr8RC6dO8XMl97A2MNVI3YICAg828hkQq0dPV09iouLkND4MrA7OTsz/fmZ7Ni2jQmTJiPVlpCVmcGqv//Cy9sXQyMjtftMSkwg7OYNSoqLibh/j87dNJMtNT09jTOnTjBh6jSlyeLEYjEff/UdK//6jdEDevLyG+8ybMwEEBZLBQQaPU+NhBXAzNKG9JTE+jajXiksKEBXT6++zag2UqkUiUSCgYEBBgYGiMVijE1MMKhGVtOMjAyWfv8dSYkJWFhY4u3jy9Dhw9HS0qqxnUVFRcTFxOAf1Fzlczy8fFi+ZT/ZWZn07xDE3TthNbZDQEBAwMzShrSUhPo2o96QyWQUFhagq9t4fZ+erh5SqRQLCwt0dHQwM7dAKpNWmoStKi6eP8f61SvR1tbGwsqKDp270rxFiEbsjHoQiYube5Vlq55EJBIx4bmZ/LJ8Le+/MY8hPTpQWFioEVsEBATqj6dqB9LRtSkZqUmk5iZhadh4kshokqzMDJzcq6HhbQDcv3+fTVu34eDoSNMnktikpqTi7x+gdn8pKckYGhoyeOgwuZVXTchUHq/4i9WstWliakbzlq05tGcHk0cM5I/Vm3Dz8ERforoUV+DZxkLHAgOx+t+XPK185Y0EGiU+QaHs37yC4OYt6tuUeqEg/5FUVU+/8d1HZTIZRw4d4vLlSwwYNKjs9cyMdCQSA7S11X9Mi4uJJrR1W1q1badJU4FHtTa1tdVfhA0MDkEiMSApMZ6pY0fw+4o16EskavtQgWcXwfc1LBrlBFIxDiTu35AMXb1HK3VaWSVIC+VjH0y05eM6skqy5Y6tnF3ljs/eOVxu3A7p8lJF8xk1d9ZVxTNWxpMxHoqkpGbgFSB/rcYS+c9LlRThip+xIhXFfVSn9EdpaSmxsbFIpVI2bdrEkCFDaNq0admELywsjJTEeJztbTHU1cbbUfUMuw4OjmRmZCCVSmu861jR9VpYWZGSlISDk1O59xTjZOC/v/W4qbMYN3UWm9esYEjPjgAcOH8bZyf5ib8QEykgIPAkiveVx/d2M2Mj9PX0kaYXyL3vYVA+5ux+XqTcsV57eb92bddOuePm6S5yx/ZTg5XaqYmYR0XfWJXfS0vJQEvHoJxEUxO+T3Hciu7t1SE7O5vMjAyioqKIi37I/JfmYmz8yHcb6elwaPsRfD1csDXSUXsSaWfvQHpaqkbsVKSJiytXLl2s9P2qytFciYintLSU8UP74uVkzcBho1j842/l+qivMh/KxhViJKtGeGZ5tmiUE8jKSI6PobSkBGPdZ7eMh6GRMSlJCVjZ2NW3KUqJioriwIEDZGVlYWhoSNeuXfH0lC+foa+vj52dHb/88gvm5ub0HzIMMzMzlfq/eeMG3r6+GpGsVkRhYSG6etV/mGjZ5lFMp6W1DUf272Li1GmaMk1AQOAZIvzWVZzdPOEZXWjXlxiQm5tNQX4e+hL1wx3qEplMxtkzZzhz+hQmxiZIDCQMGzasbPL4GDs7O+7cucNnn31Gq1at8G/dSeUYxjthN+nYtXttmE9hQSG6utX3e1paWhgaPorpPLRvN7m5ORjqN57MuQICAo94aiaQ6SmJzB/bhV7DJiFKenYT6Tg4u5Kemqyx/kpKSjhz/BAOTi64e3prpM+srCxuh4Vx8expunbtSnBwcKWTPDc3N2bNmoVMJmPFihXcDQ8ntJXyEiUymYybN27Qpl1bjdhcEdbWNiQlJmJlXT25dGFhIX6BwYyaOI3ffljMT19/Rt9BQ3n9vY+VJicQEBAQANi96R/W/vEdP6zeT97qZzMO0sDQCBNTc7IzMzQ2gUxKiCfsxlU8m7XEyKTmi9IymYzYmBiuXr1CfFwco0aPwcHRESifkRygZ8+e9OzZk+zsbL7++ms8m7dGX4V4yJTkJLKysnByblJjmyvC0tqa9NRUSktLq704GxgcQut2HThz4hgTh/YjNTWZjxYtpv+gIZo1VkBAoNao9QmkoiSgNiQAxhIdEnIe6VibuLojNjRFLJa/sfkmt5Q7VizboT9XfqJhMu9CuXGkafKy2BZ+VU8cqiNPVaQq2U7ZOE+U6dDSMyIu7nq50h2VtX+MotTnMUWFBVy6cJGb167g1MQVkUiERGLAwAF9MVJYMVVEKpUSfuc2Z06fwdzcDEszUyIiIsjOzsbb25uRI0fi6uqq9PrgUSC+qakpxfm5FTrbJ8kpLCYi4j7FxUV4e/uo1H91cHB0Ivx2GH4qxmcqSp+aevuyfPM+Cgry+fD1OXTo2pO42Dhem/s8i77/XZCDNFDUleflFQqyJ4HawViiQ2p8FAD2djZEmmfIvW/bovy9ySJMvkSVZJR8bUDvk/eqHDPU27rca1XJFlVFHclqRRibmJGakoS1XeWlTOIUfHhFfu+xf4yIiOH8+YvcuX0HS2tbAOwdnXHo2UXpTmBSRi6nTxwjPi4WWzt7xKWFREREYGhoiK+vH53Gdim341gZurq6SCQSREW5mJorz8Z6+MJpunTqgIVR+YRCmnj+0tfXx9jEhIh7d/FUwb9W5MdefuNdACQSAxYueJM3P1jIgjdfBbE2XXr0Lte+viStilTHDkH2KvC00jB+lRrA0zeQ9j0G8Ps3H9K7+Rg6+PVDX6fxBdTXFFvHJpw7vp/M9FRMzcvXslQXXT19OvcayMWT+/H1D0JHR4eHkffZtX0LIaGtKS0tRV8iQUusRUFBPu5NPRGJREilUv73y6+IxWI6d+1KQX4+JQX5DBo0CAcHh2oFznfr1o2ffvqJoKAgbG1tq2yrraWNTCb7N+C/dr7mHp6enD97moKCApVWhivj2sXzePr48c7CrzE1N2dY9zbcDw/Dvm2oBq0VEBB4Gpn4/HzWL/+VEV2DeH3IEqxNHJ7JclZNff25fPYkPv7NNdKfm6cfUffvoKejhV9gC6RSKRfPHMPCWBdLaxtKSoqxsLQiNjcLSysrLK0eTayjHj5g07rVePn40q5jZxLj47E0taNLt+6Ymqq/k6mnp0fnzp3Zu2cP4ydOVOo7tbS1KS0trdY1q4qntw8PIyNUmkBWRn5eHslJiXTr1ZfnZs3Fw9OH775cWOEEUkBAoOHxVKW/mjr3HSyt7dh7ZQ27Lq6sb3PqBbFYjJNrUyLvaq5EhKuHF029/bh68Rzmlta06dgVCwtLrl25TNjNGxw7dIADe3dx7PBBjh0+iEwmIyM9DalUysxZs/H29iGoeTCdO3fGycmp2lnXjIyMMDMzIy4uTmnbJi4uWFpasn/f3mqNpQrmFpY09fRiz45tFBdXL2nEw8j7hN24yl8b92BjZ4+enj69+g9h344tmjVWQEDgqcTI2IQPFv8PgK+2zCMpM7aeLaof7BycycnKIENDyWNEIhGtOvYkKyOdxPhYnFzc6di9H4kJ8dy8doW7t2+xY9N6rl25zLpV/xAXGwPAw8gIWrfrQL+BQ3BxdaNV23a0CAmp1uTxMZ6ensRER6nkZ9p36MjFC+eJjoqq9njKaBHamvv37nLr+rVqnS+TyTh6aB+BwSH8tGw1AB26dCMxPo6Hkfc1aaqAgEAt0eB2IFWRvihKWx5LTvRNbVj4+3ZmDw6lg3FHSu6nVdqHfY/Wcsd2/vI7WsFzxpc/ybLq2IqaSnCqi6IMxycwhAPb1iKRGOAdUD5TbFWyncro2K0XVy6cYcvaFfQZNIweffqVa5Ofn8+G1f+wf/dOPDy9MDJSTaKjCjKZjMOHDyOVSgkIUC4ZFYlEDBg0mB++W0LrNm2xsLAoe0+TsuquPXuzc+tmjh06QPfefdU7uSSfU4d2M2zkKKwtTMu+Pz37D+HdeTN5c8GH5U4RZK3qoYlskAICDQVFH/NYkunZshsTXnyXw3//g2WqASWplfs+g4ny4RwWTvITm6J5neRPMFeurlD3d6ZKeIeyTOCK/lVLS4sWbTqyb/t6eg8ehamZRTm/puj7lIVzGBgZM2biJPbv2srpQzvo0W8QgX4j5Nob6usQcf8eWzaso8+AQWSkp+Pm4aH0+p4kp7Dyzy8nJ4e1q9fQqUtX9FSo8WxhYUHnLl05fuwoY8aNl1uw1ZTvk0gkDBs1hg1rVtHEwQbHJzKRq9LnneuXyc/OZNT4SU8k5NGh/+ChHNy1DT/f2gs9qWsE2avA08pTtQMJsGnZ94TadsBCv3ycxrOCoZEJPQaN5uaVc6SnJmmkT5FIRHBoW1q27cCJIwcqbCORSBg9YTIZGens3LqZ0Faak2CePXuW8PBwRo0apbIkVU9Pj27de7Di72WkptZOSnNtbW169unH9WtX1E6bfvHcGbz9/HFwcpZ73TcgiLiYKIqKah5DKyAg8PSTm53J7vV/MsBtVH2bUq94+QUSENyKk4f2IJVKNdKngaERA4aNoaSkmLthNyts4+7RlCHDR7Fr2xbSUlNwc29aYbvqsGbVSpq4uNCmreoJ4fyaNUMkErFx/bqymsWaxtrGltbt2rN/3z61zisoKODCuTP06NOvXDbX4JBQwu/c1qSZAgICtUSD24GsCfduXeH43k28EfhJfZtS7xgamdAsuDUXTx2hx0DNPVRYWFojLa3cMevq6jJq3ERAs4HvWlpaODo6YmmpXlxni5AQYmKiOXv6NIaGhljbWOPXzF9jdsGjybW2lrZa2f9SkpO4F36bCVNnVtifkbEJOVlZWFhZadJUAQGVuXTpEj/++CPh4eFkZGRgaGiIl5cX06ZNo3PnzgDExMTQvXvl5QJGjx7Nxx9/XOU43t4VZ3f+8MMPGTt2rNxrUVFRfP7555w9exapVErLli158803adpUcw/sjZE1v36JX4t2uOY8258DgE9AMPfDbxERfgtbF81kDtfS0sLM3JxSaeWxhQ5OTsyZ/5pGxpMfWxtfXz+1Mp7q6uoyasxYvvjsU86fPUtOTg5BwcFq+0/ltmlhbKw8sc+TnD11Ald3d+zsyyc7MjU1JSszQ0PWCQhUD8H3qcZTM4EsKS7ip4XzGTR+NpIww/o2p97Jy83hwd0wbB2clTdWA7FYhFSmmZVddXjw4AGO/6Y8V5f2HTpy6eJFMrMyuXbtqkYnkDKZjEP79xLUIgSJRLWkTbm5OezduZU27TuhX8k5pmbmpKQkCRNIgXojKysLNzc3hg0bhpWVFVlZWaxdu5aZM2fyzTff0L9/f2xsbFi7dm25czdv3syaNWvo0aOHSmP169ePyZMny73m7Cx/70pNTWXcuHFYWlryxRdfoKWlxc8//8yECRPYsmULdnYNv/ZtbXDj4inOHd3Dgu9XI/sjur7NqXeiIu+Rk5WJmYVm750ikRiZhnY1VSUvL4/09DRMqhE/qaWlxdBhw4l8EEl8XBy6urp06NRJ+YkqkpWZycVzZxk9crjK59wLv8OtG9eZOHV6he+bmVuQkqwZ1ZSAQHURfJ9q1PoEsi603MnxSWxZ/h22Du70GDSV1LAT5dpoWcvH42n1cpc7TovJlDs26S7/PkBTF/lit8piHNUpl6EOirEhinZIC7M5vnsjnr4BBIa0JqdA/m9QHbvKxtA2JCUljYfxqejpycfG2FlUPXFXjPNQVo7jMfn5+dy/f5+BAweq1F4RS0tLevbqRVFREd99+w1paWlVxkSC8u/t43NSUlJIioti5PCX0NFR7ed04tAJPJs2pVlg80rbBLVszdmTx/Hy8au0zbNGQ41nVBbP1VDtVkaXLl3o0qWL3Gtdu3ale/furF27lv79+6Orq0vz5s3Lnfv+++9jZ2dHhw4dVBrLysqqwn6e5I8//iArK4uNGzeWZWFu3rw53bt35+eff+ajjz5SaayGgrJ4tIrinWOTc+WO71y7yl/fvM+EFz/AwsqFVOQnkGKL8qoI3ZbyOz952YVyx5695Fe0Ha2UKys0UbJKXSqKkbx57TJXz51m6KgxWNvaEZuSV8GZ/6GKP37s+3Qkpjx4EE1AsPJrVfzbKf5tVVXn3Lp5Ew8PD0xMTJS2rWgM32bN8G3WjGtXr3Dl8hWNTCAf237x5GWa+XqV1bJURnFxMXt2bGPE2PGVlgDzD2rOvbvhZGSkY2ZmXmGbZwFl3w8hRrJ2EXyfajwVMZD7Ni3j2vmjjHn+7fo2pd5JTU5k79Z1BLVsQ1DLNhpP566rp4+jsxt3bl7XaL9VERkZSZMmTWpUKgMeyXpcXFxITIjXkGWPMsMWFxWho6PaZLi0tJQHERH4BwZV+bfp3mcAOzav15SZAgIaQVtbG2Nj4yq/79evX+fOnTsMHTq02hmXK+LAgQO0a9dOroSPubk5Xbt2Zf/+/RobpzHx9dtT8QlsTYt2verblHrn4tmTXL90nkEjx2Ftq/kVebem3sRGR5Kbk6Pxvisj4v49vH1qnlCmqacXiYkJGosLBTA0MlKrv+iHDzCzsKhQuvoYiURC52492LF5oyZMFBDQGILvK0+jn0Cmp6Zw4+JxOvQajrWdZuWajZG9W9eRl5tDUVGh8sbVJCCkNVcvnqOkpG5WwTIyMuR2DGuCra0dVy5f1pgjzczIwNBI9RiQyxfOY2Vtg7VN1XUs23TsRnxcLOG3b9XURAEBORISEoiJiZH7l5WVVWl7qVRKSUkJiYmJfP/99zx48KCc5OZJNm7ciEgkYvhw1aVtW7duJTAwkICAAEaOHMmuXbvk3i8oKCAqKgovL69y53p7e5OamlpribIaKqeP7kcqLaXH4EnPZN3HJ0lNSeLCmZPo6umTn1f1rmN10dOX4OkTwJULZ2ql/4rIzMzE3Lzmvs/AwABdXV3CblWcBKg6ZGVlYmSomu+TyWScOHqYlq3aKG07duIUVq9YVkPrBATKI/g+zaKWhFUTSVE0tfV+8vAeTM0tmf/ccAL9OtPRewhZVxIA0GlZfoVLll5QZX9FkRlyxy69ygemKit1URsoS2Wu2GbQ8BFkZhdw/MAuZDIZzYJaqiTTUXZtT8qYTAwdOKkj4eHDWKztnvys5eVVuQbyGdZUKUFRkay1uLhYrQQCin08KZ3t0KkTy/78g1s3b+AfEKhynwDZWVloa2sjMTAo+x7vPXCYpr6BKn2vpVIply6cY/DwkRW+byz3eekybPR4NqxawTsfL1LLzqeFhiL9rA95XlWY6ZthJFUvcQWArvjRzsn48eVLFM2ZM4e5c+dWeN68efPYu/dRPVUjIyOWLFlCp0qkcIWFhezcuZNWrVqVi+OojIEDB9K5c2fs7e1JSkpi9erVzJ8/n+Tk5DJnnZmZiUwmq7CWnpmZGfBooUnTSULqk4q+/2kpSZw/eQRtHR0+fetFpo7/BEmyPlnJ//q+3gp+K1X5ZCrrYYbccQs/myrbN7TfA4CpmQW9BwwlLTWZ/Tu30GfwcKysbVUq26EOHt5+HN2/g4DQzjXqRxmPn7WKi4sRq+j7lD2fjRw1mnVr1+DR1FMtNY9MJiMlOQkra5uyhYrMzEyuX7vG1GkVxzIq2nX//j0M9LRp1SIQkUhUpb/s1LU7b82fy60b1/HzV16y61lElWfxhiBzNdDTbJSc4PvkUdf35efnExkZSWpqKiKRCAsLC9zc3FTO36FIo0qiI5PJOHboAHt272bTyj8wNjFl8OgptPMZq/zkZwQHpyYY5RbTf8R4Du3eSmFBPi1ad9T4CnVOdibpaSlo6eigpaWFRGIAKkx2q4Obmxs7d+6kZ8+eNe5LS0uLDp06ceTQIXz9mpWbmCYnJ3P86BG8A0KwtrUlLy+X27ducvP6NTIz0nFxdaNNu444OjsTef8eyclJ9B88VKWx42NjEYvF2NrZq9S+Y9cefPreG2pfo4BAVaxcubJc0H1VMVavv/4606dPJyUlhR07djBv3jw+//xzBgwYUK7tvn37yMrKUmsFdvHixXLHffr0YeLEiSxZsoTRo0fLPew+qzttubk5bF67it07dnDh9FEMjU34/u8tFEVprtZuY0ZbWxtXD09c3JtiYmrGrs3r6TNoOPrGmk2kk5uTTUlxMYnxMejpSdDW1sZQ31ytBU51aOLiQsT9+1hb17wsmYOjI46Ojlw4f54OHTuWe//yxfNkpKcT2rotYrGYtNRUrl65xIOI+xQU5NOlW0/cmzbF2N6aQwf2ExLSEnNz1eIUb4eF4eXlrdLvV0tLi45du3Hm1AlhAimgUZ5F35eZmcnmzZvZs2cPN27coLRUPpO0lpYW/v7+9OnTh6FDh1Y4Ua2MRjWBXPHHr/zz568EtuzA5NmvYuvgRO9Bo7i8TagbpIixiRm9Bo7kwM6N6OjoERjSWqP9N2/Zjsi7twm7donS0hKyMjPo1qs3/kEtNDoOgJOTE7m5uURGRuLm5lbj/ry8vDl14iR3bofJZWQtKSnh0IH9FBeXsGfnNvJyczEwMsLW1o7+g4ZgamrG0cMH2LZ5A4ZGhmRlZjFo2IiyupTRUQ9JTkqkWUAQaakp5Ofl4d7UE4CE+Dj27NpOp66Vp31WJDA4hIz0dK5dvkhgcEiNr1tAAMDOzg6nJwp/K8PZ2blsRbVbt27MmjWLjz/+mH79+pWL89i4cSPGxsb07t272vaJxWIGDRrEhQsXCA8PJzAwEFNTU0QiERkZGeXaP37t8Wrs00ZJSQmThg/AytqGpr7+uHv70W/oGJq4eXIpKqy+zWtQiEQimnr7oa2jy66t6+k5aCzGJmYa69/Kxh4HZ1cunj5GQUE+paWllBTmMmHaC2qFMqiKt48Px44cITAoqNq7BE/SpWs3Vv6zgtBWrdDT0yt7PTkpkVPHj+Hq7sHvvyxFV1cPiUSCTzN/2nfqTH5eHscOH+TIof3YWJpjYmJK/4GDgEfKmvPnzmFjY0MTFxdu3biOg5MTZmbmSKVSzp09S2REBNNmlC9ZVRkDhwzno3ffZOqMWc/sopGA5nmWfF92djY//fQTq1atorCwEDc3NwYOHEiTJk0wMzNDJpORmZlJVFQUV65c4fPPP+fbb79l3LhxvPDCCxhXkujqSRrVBHLz2pUsWvIzdm7CqpQq6EskePkFkhCr+dTuvoEt8A18NFmUSqWcO3mYgvx8jY8D//2o1qxZw5w5c1T6YleFSCSiR8+ebFi/Do+mnmWONDoqivv37jHj+VnoGJmXtX2SvgMGk5yUyLbNG9ESi8nNziY+Lpawmze4E3YLE1NTThw5jI6uLoWFBXh6+2JgYMDtWzfp1LUbXj6+Ktupo6PDsDHjWbXsd0xMzSgqKiS4eVCNrl1AoKYEBARw+PBh0tLSsHqizExsbCxnzpwpt3JaHR7HKD920vr6+jg7OxMeHl6ubXh4OBYWFk+VfPVJ7oXfJic7iw27DxOnJKuowCOlkoubB2Zm5mRlpGt0AikxMKB91/8eEIsKC9i9cTnSKupD1gQPj6bcuX2bbVs2M3rsuBr3Z21jg5e3NwcP7Kdf//92Uc6fPY1YLKbfwMEwcHA5v2dmZs7o8ZO4cukCe7dtwsnZmZjoR88VR48cKcu5kJ6WhpaeATKZDC8fX1KSk9DTEjF67Di1JsCdunYnLTWVSxfOUVxUTGiLQI3lQRAQqC6Nyff16NEDPT09Zs6cyaBBg5TKaqOjo9m6dStr165l06ZNnD17VqmtDW4CWVGc3ONYkNzcHMzMzMvFMcjupckdi5qWv9EormHJzsfJHev1lC/bUVHcoLrxExX1oUpMY3UoLipCR/dRDF1JcTGnju4n8m4Y3s2CiI2OJD8vF4lB5WU2VC7j8S8mhjqUlJRwPzyM86dPoKOjQ+s2VW/d1ySmzcHFDYmRMTk5OXITSMXSIMooLS0lPi4OJ2dn3D082Ld3D+3ad8DS0hJXNze6du/Bls2bmDptetnOoiKmLo7Me2kO4Xduc+P6dS6eOY6dkyuTp83EwNCQ0tJSRCIRKclJxMfFkpWZycix47Gylo8tUvyuV/T5ODg588PiRWzftA5tbR2OX7mNialZpX08TSi7trqKkTRWiOVtiDFgdYVMJuPcuXOYmJiUW/XctGkTMplMLQlPRUilUrZv346hoSGenp5lr/fo0YOVK1eSnJxcJunLyMjg8OHD9O/fv0ZjNmRyc3IwMTWrcCemnO8LrTzD5WMU4/1NmstLumrj+67YZ0UojqOKHaWlpchksrJ7dXJiAgf3bKegIB/3pl6E37qGY5P/VCuqxEQq84UmhjrkZGdx9eI57ty6jpuHF0bG8jI4dT+zqsp+ePkHs3fn9hrHtOVkZ6MnLqVL1278+vNPODs74+Xtg56eHsOHDGLlihWcO32K1u3al52jGGvXuX0bWjYP4PKlS5w8cYLMzAw6dupEYFBzRCIRxcXF5BbD3Tu3yczIwMDAkG6d21fqSytDJBKhraPNzEnjSEyIZ9DQEfz053K5NprIyfE0I5QC0SyNzfe98MILjB07Fl1d5fdeeLTbOmfOHGbOnMnq1atVOqfR/AKTEhMIbduebZvW0XdcxQGvzypxMVFs37iGnv0G49bUi6P7d6Cjo8vw8dPZsXElOjq6xMU8xMNLczUFTxzex+0b17FzdKJ7nwHYO9Z+Btzi4mKKi6s3aZBKpWzbspnwO3cQa2nh5OSEja0dR48cZv/ePXTo2AnnJi44ODhw8sRxcnJyqpTEicVifHz98PF99Jk+eTN+HA9jY2uHTQ3TyQ8bPZ7rly+ybuVyZMi4ffMGrdqpVl9IQKAmvPrqqzg6OtKsWTPMzc1JTk5m8+bNnDlzhgULFsg9FMpkMjZv3oyXlxeBgRUnpzp79iyTJk2SS1rwxx9/EBkZSZs2bbC2tiYlJYXVq1dz8eJF3n//fTmZ3bRp09i2bRszZ87kxRdfRFtbm59//hltbW1mzZpVux9GPVFUWIi1jQ2x0VFE3r+Hrolq8dPPCkcP7ObB/buMnzab/Nxcdm/dQIeuPSksKODy+dNkZuVSUlyMtopllpSRm5PN7o2byM/LxdOnGeOmPo++RHmdzJpQUlxCSWkpUqm0WqUBkhIT2Ll1M7k5OejpiAlq3hwHeweW/fkHFpZWNA8OxtnZGV8/P67fui03gawIQ0NDOnTsWGEcpY6ODqKSEjmljbqTx8ecunyLoKZNMDQ04uJ55bshAgKa4mnwfVVli60KXV1dlc9t8BPIgoICXp75HEf2P8qENG7KtHq2qG4oLS0lJuoByQnx5ORk4+jcBG3tip3gzauXADh19CB3b9+iqKiQLr0HoaWlRYvWHThz9AD3wm5obAJZVFhAeNhNJs2cg+4TX/Laxt3Dgx07djB16lSV5TD5+flkZmRw6+ZN8vLyeGn+K8CjoP7k5CSGDB2GSCxCV0eHmJgYDh+6jZubm0qFm+uK+W+/z+EDe8nNyeHHb74gLiaawSPHCLEhArVKcHAw27dvZ+3atWRnZ2NsbIy/vz8///wz3bp1k2t75swZYmNjeftt9Wrxurm5cfDgQQ4cOEB2djYSiYRmzZpVOIaVlRUrV67kiy++4I033kAmkxESEsI///yDg4PynbfGxrXLF3ll9nOkpqRQXFxESUkxqq0lN25yc3KIiYokKy0JiUSCje2jSXNFioO7t2+hpaXFgV3byMpIJ7RtR9w9vZHJZNwJu05aehYPI+9qzPdFRdzFxtaeLr361dn918LSktKSEk6fOEa7jp1VHjc9PY38vDz2795JSKvWNAsIoiQ3g7t376Jtq83kqc+hpaVNfn4+Effvk5KSgl9Qw4m119XVZfHSn5kzYypa2tq8PGs6s+bOw/eJvAUCArXB0+b7cnNzmT17NgMHDmTkyIqrAFQHkUwmk1X0RkxMDN27d+fgwYNlQafqygUrQt1t82W//cKyP//kh+VbiXkYgbmVDQ+2Rsk3slRYAawgdXnxBXnJqthC/hzHV9oqtUVR2qKK1KW6RN4LZ9/OLQSFtMLIyJj42Gik0gr/VJSUFKOlpY23nz+5OdnYNfFCV++RDlsmk7F17TISYqKZ8uJrla6WKkp5qpL63Au7Tlr8A7r3HybXRtn1KspgK8LRWl5m62D+30SxoKCAndu3kZyczMTJUzA0LC/Jzc/P597dcFxc3Ti4fx/37t7FwtISIyMj+g0YiLGxcZVlPjSFJuQhTz4wyWQyYmOiuH3zBj8v+YqOXXsw7833nmoJqyZoCKVAEuPjmD5msNy9tDo8vicPSR9YrVTmOeIctphvr7EdTzsV+T5F6uKe0atTO7r3HcToydO5de0ywaFtObpUYSdGMVxDoVyVosQVyod4dBlXdTmj6shPa9LHzs3ryM7KxNc/iPz8PDLT0ys9JysznYDmIRQWFmJmYYm5TZOy91KTE1m3/Fc8ffzpoeCr1OGx75NKpRzasZ7glq1w9fivJpsqfl6Z71Psw85C3rc9fBDJwX17cPdoSuduPSqcRMbFxlBQUICxsTFbNqxDKpViaGiIm0fTsolnQ5V9VuUvCwoKiLgbzvGjh1n67WI27NiLt69fnVxLRWXF1KU27hUNBWXPOQlxsYwb2l/wfQ2A4OBg3nnnHY1OIBvm3eQJOnTuyi8/LmX7hn8YMWEGAA+IUnJW40cqleLe1Is2HboA4N9c9ZXBJ52VSCTC2taenKwsYqMfVHsltqSkmPth18nLzSHy7i0GDB1VrX5qgr6+PsNHjuLYkSP8/defTJ02XW4nMjs7m/Vr1lBUXMSeXbsQa2nx4ksvY2BQuxKjukAkEuHk7IKTswsubu7MHD+Sl994t77NEhAQqCUGj5rAj19/Sq8BQ2nRql19m1NniEQi2nXqRhM3D7XPfdL3WVrboqOjQ2JcDKUlJWhVU0qZkZpMbFQkSfExaGnr4OzirvwkDePi6sbYiVNYv2oFRw8doEt3+ZJW98LvsGPrJiwtrUhKSsQ/MIieffpXS/La0NDX18cvIBC/gECSEhPYvmUj3r6aC8cREHgW8PX1JSIiQqN9NvgJZBNXNzLTU9m25m+aBYbgExBc3ybVCTKZTKMSGXunJjy4d0ftCaRUKiUjPZXjhw8gFouxsLal1+CxWFprtr6WOnTq0oXS0lJ++elH3N3dad2mLdo6Opw/d5bikmKmzZiJTCZDLBZXO/6iIePh6U1yciL5+XkYSZ4FUZuAwLOHvaMTxYWF/Pb9V7z01geYmQtZKNVBJpOho6OLuaUVMVGRuLh7Kj/pCYoKC0iIi+bw/j24eHjj6OKOh09AtSeiNUUikTBy7ATWrlzO8geRuDf1pHW7DsRER3HsyCFatW1Puw6dyM/PR19f/6kMcfDzD+TA3l31bYaAQKNj7ty5zJkzh86dO9OmTRuN9Fnnd0JF2YHiFvhjyZlMJiPy/j12bt1AdlYmTb1ac2DbYY7sOk6LTr0xNPqv2KViVrmC3XfKjavjbSt3LBklP5HKyy6UOzYwLh/bpyjrrI5EVRUpD4CBvjYSfZ1qyYcU7ZLJZDyMuItIJCYzIw1Ts/IPIorXJpPJeHDvDpfOnkAmk+Hn70erdp3KVjRVkaMqomhXRX3EJufKHT8pYX2Srt27ExwSQnTEPTauXY1IJMLFxYX+fXpjbiS/49hYJSSVyVMTE+LR1tbG2sKsbg1qhFRH4tsQZK8CDRtNyOAr832FBQVcunCWbz9dREFBPsZGXnzzyRIcnTxp1roDYvF/ReuLMuQlq6UK2cW1KsjK2mKw6qWEVEVVv6YKmlo8lclkFBaXcu9uODKxLqY2zpgZKU+xX1RUyJVzp7h35wZGxqYMHT4MpyauZe8r+q2K/Ji6zwaKfRgblO/TUF8HiYEBE5+bQWJ8PBfOneHXpd9hbGyMnb09Qc0fldXSRL1ITaJKOIeqctSU+Ggc7GyrJV/VhBy1OtTGuA3lmUbZ3yFX/+lbwG+sbNu2DQcHB6ZOnYqPjw+urq7lSo6IRCI+++wzlftsUH/dzMwMzp45y9YNazm0bzdGRsZ06taDabO/wtu3NSKRmOiHYZw5shWvZqE4ung/FRKNitASa3H3dhhxMdHo6eujJdYiOLQ13r7N1O6rect2uHn6kpmeyp4ta+nWdwjWtvLZ/AoL8klLScbWwQmxWMzt65cJu36J9t36YOfgVGvlR2qCmZkZTm3b4ufnh46OzlMhVVVGbHQ0Y4b2Z8TomtcEExAQaBiE3w7j6tWr/PHzD9y7cxsvXz+8fVszcuyb2Ni5UFRUwI2rxzhzdBv+wR0xMas/BUhtU1RYyK6tGzA0MkYiMUBPX58uPfuWK5WhDLFYTLf+wxGJtbh5+SzH92+jz4Ah6OjIT3bTU1MQiUSYWVhSUlzMwZ2bMDIxY+jY55AYGDY436elpYWDkxMDHYeTkpyEpZX1U/sc9CQrVyznpx+X8uey5cobCwgIyLF58+ay/4eFhREWFlauTaOcQKalprBr2xZ+/fF79PQldOnei30nL2Hxb6HO7RtvlLVt4uqHTRMnoi6sJeLOZZzcfNHP1sHc1AZt7adHzufu6cXU51+ktLSUgvx8crKzObhvF45Ozmo7UiMTU4xMTHF0dsXI2JSDOzfRoXtfnFzckclkhN+6xuWzJ9A3MMDY2BQzSysi7t6m96CRmJia19IVag5TU1PljZ4Czp0+xayp43lh3mtMn/VifZsjICBQQ65ducTOrVtY8edvNAtqzuyXX6NTt57o6unJ+T1dXX2CW3SnMGEv50/sxNTCBgfnpoiLdbCwqFmpoIZGv6EjKSp8pAjKzEgnKvI+Jw4foM8g9RPh2Do8Sqpj2Wsw508cYO/W9XTvNxSJgQEF+XmcPX6IxPgYZDIZAcGtuB9+C1NzSzp069PgJaAikQhrG1vlDRs5MpmMj95fwPq1a9m9bz++fuovogsIPOvcvn1b4302iAnk6y+/SFZmJh8s/Jw2nSvOMPYkLnpJdPbN4AKB3ErOJvLOXYyNzPH37VBudbGxIhaLMTQyJikhnoh74bi6N8XGxo7E+Hi1J5BP0sStKfoSCUf2bsfA0IicrEyMTMzoM2RMWcbWzMx0Bo6YUOv1rQRUJ+rhA56fMo7FP/xC91596tscgXpEbG6EWGSs/nkVJ3EWqCfSUlMY2KMz02fPYd/xs5jbVF3j0Up6B0/TWzh2GsCtNH3io++TGPUAv4AO2Nm7PzW7UHp6+ohFYh5G3iczIw3vZgFsW7+qRn1qaWnRulMv7l0/x9a1y5AYGJKTlYmnbwDDxk3j8rmTnDt5mGbNW9KyreqlMgRqn99+/YXdu3Zy5OSpsiLqAs8mgu9rWNT7BDK3oBhdPQmDR/ajbZee3I7KKN9ILhW5FEeX44jFEKQXhmHnl0hNsuVm9AWO3V9B52aD0LIu/wUzn9GiSjsUYx6VlehQherGhYTfvsWD+/dISkygpLgYF3cPtm9aR2FhIUEhoWr3V06CY+fIkDFTyEhPxdDIBANDI0QiEXm5Obi4e+If3Krc5LE6MY9q24VmY2keoywGQZUYBXVjDiqKDahuaY+CggKG9e2Bh6c3y377hTfnz+Hc9fCn5oGxoaHp0igGevV+mxVogBgYGqGlpcVb73+Mjo4O4dEZ8g0U/J6TyVG0jEW4S8+h0+5VELfm1t9HuHnqBBlm9/FzC0XL3Uyui4riHetCkqmsrEdFlJaWcu7kUbIyM0mIi8HMwgKJxIALZ06ipaVVrdhIRT/eonUHPLx8KSkpwcTMvGzB2crGDk/fAFq06oCpkbwPUvR9tfH5qdKnYmy2svtUQy3ZoQ4H9u/jow/ep/+AAXRp344Jkybx9nsL6tuseqc2nlkEnm7ee+89Ro4cSVBQkMb6bBB3GC8fX27fvKG8IWCpE4FecRrFOhbo5UYTeGMOx7XGEOTaltN39pGSFY+ZTA8xYjlnk5IYS0zkHRxdPbGydWrQK4zXr1zCzNyC7r37YefgiEgkonP3XhQU5GNgUL72YXXQ1dPHxs5R7jUDQyO69hmskf4FNMfvPy9FKpVy5uRxtLS0GvR3V0BAQDX09fVxauLC3Tu38fMPqLKtpU4E+lpZFOvaoJObiPPFj9EriiHBdDpBXh25Gn6cwqJ8dHT0EIv+W1iSSqXcuHyeoqICfPyDa6ReqW3y83K5dvkCPfoOon2X7mW2FhYWoCXW3H3P1Nyy3Gtunj64efpopH8BzVBUVMS7b71JVmYmq1euRCwWk1+QX99mCQg0SjZt2sTGjRvx8PBgxIgRDB48GHPzmoWoNYgtDAsrazIzKi8W/B9SnCQXKRXpgUiEDvloAx1c1wDgZuNDeNxVDkfv4nzicaKzI4nOjiQ5L4GLJ/eio6vLjYvHuXBiD1KptFavqSZIpVJ8mwVg7/jfRFcsFmts8ijQeDhycD+//fQD2jqPVhwtLK2YM/915s58jh++/pLiYmGVUUCgsWJtbUOGUt/3r9+TaYNYhEhaiGFRNNrIaGu6DCMDU8yMrTl5dQcHzq7lxr3TxCVH8jD+DreuXST81jWkpVK2r19O5F3Nx8FoipKSEkxNzfDw8pGb6Orp6Zfd/wSeDWQyGS8+PxMjo0dqMgsLC7p26462ljYzpk7hwP599WyhgEDj4ujRo8yfP5/i4mI+//xzOnfuzPz58zl58mS1+6zzHUhFGV92XhFRUdEYmVqQnVfE3fMx5c4pvvAoNbmVTQx6PukUFVtCUWbZ7FdbG0TmOdibe2Hv7oXtYB/ioyOJj7pPYWEBeaUlNDG0JbhtV5DJOHVwG/dvHMO/RRtMzCwqlAJWJGFVJjPRlPxS3aLHiuMqkw/VVVa56nweymQ5mkiJrYq0ozZSbysrYfMksdHRfPDO65w7fQpTU1NSkpPR09fH0sqaiHt3adW2He+98QqBwS1wb+qJcxMXlcZUNq6mqI58qi7sEhBoKOTkFxEbG4OhsTm5BcXcuBYv935pRAYAVmYP0TPOoChfgji3EIk0r6yNrnYxYqtSAqy6A9Cstyt3b98gOSEOmUyb2IeRhLTpiJunD019/dm3bT3a4hJc3T0xNDJSyc7qyFGrQ2mpen6vNsIqVOlXE+M2tMyuj9FEeRpF1PVBmzdu4OuvvkQqlRIdHQ1AXl4emVnZZOUWUFgi5eW5c/ln/RasbWwxNjGpdJxnGWXPMILE9dnC2tqamTNnMnPmTM6fP8+GDRvYt28fe/bswd7enuHDhzNs2DDs7auOxX+Set+BzEhPY/Oa5XTvO1BJSykurreRlorRIQ8TkuXebW+6rOz/IpEIhybuhHToSbvuA+nQaygh7XsgFosRa2nRptsADI1MOL5/O7s3Lic++gFJCbGkJidq/gKrQWlpKdr1VKxYoH6RSqVcvnieyWOGY2fvwBvvfkBBQQFSqZTCggIKCvKRyqQcOXQAO3sHZk+dSPd2LVm7UkhtLiDQmNi9bRMGhka4Na2qwL0UZ9sbSEu1ARGS0jgUhZxt+bns/3r6Evybh9K1z2C69R1C78GjyqSZFpbW9Bo0kqjI+6xf+SdH9u0iIy2ViLt3yM/Lpb4pLSlFS0vwe88q2dnZrPj7b16bP58Ro0YzYNAgSkpK0NPTo6CggPT0NEQiESePHqaosJAxQ/oT4uehwg6+gIDAk4SGhvLFF19w/PhxPvzwQywtLVm6dCk9evRgxowZHDhwAJlMeeaher1bR9y7y8xxo+g3ZCT+QVUnubGyisDMLImiItBXuC6R6NEuJKQAyutjaWvrENymE+ZWNhzasZ4Ny3/C3NIGQyNj3Lya4eTigZGLc73GmpWWltbb2AL1x+oVy/juq89pFhjEpnVrKMjPo4mrGyGtWhMbE01eXh6xMdHk5uSQEB+HbzN/oqMecvTQAcJvh+Ho3ISmnl44NXHBxsYWU0nDL8MiIPCs8fdff/HJe+/y6z/r0NLSqrSdpWk0hpIUtLUf7RYothSJQFdWBGQCyssZWVha03fwCHZtXs/5MyfYt3MLwaFtKCwspHX7Ttg7ql8mSpNIpYLfe1YZMrA/+nr6GBkbsXLFcm6HhTH3pXlcv3Gd2NhYjIyNOXvqBNnZWeTn5+Pj14z8/Dy+XvQpxsZGNPP1xtPLG3t7e+zs7YVFeAEBJRQWFpKTk0NOTg4ymQyJRMK1a9c4ceIETZs2ZcmSJXh4eFR6fr39wrIyM5kydgTDxk5h9OQZStt7+d5ALAZ9/crbtDddxsnM11S2wczCComhES5NfWjTpTcikZibl89yaOd62nXsird/83rJdOnp7cuhvbsYMGxkWQyAwNOPTCZj5bI/+OTLr9m0bg32Do6kpaaQnpaGgYEBr7/zPhKJAWE3r3Pz+jW0tLSIjorCxMQUK2sbLK2suXfnNru3byUuNoakxARCQlqyat36GgdLCwgIaIa9e3bz6ScfsXLLHtyr3H2EwmIDdHWKUbaW2ZafOc1bKttg7+REdFQkA4ePwcvXn9ioB1y9dJ7Txw4zYNhoLKzqvlyChZU1UqmU86eOE9KmvZBl+hni+rWrPHzwgJNnz9PUxZngFi3wDwhg1ap/eP3Nt/Br3pK0lBRu3biOrb09165cIiY6GjcPD2xtbSkqLuLg/v388tOPJCQkkJuTw8vzX+GNt9+p70sTEGhQSKVSjh07xoYNGzhy5AglJSUEBgaycOFC+vfvj5aWFtu2bWPx4sW89957rF69utK+1JpAalIfv3vHVqysrOk3cirZef/p4YvXVJSNNQ8Dg0dxHzIZ5Z2p6N9dSF3QddVVqQSHsUQHY0d7Bg4bw8nDezEx0MPA0Ajbnn1IbR7MlTOHyUqLp1ufgWUrxLVRYqIiQtu2RyQSsXbFX3Ts2gMvHz+1zldmpyZiWioaQ91+K4p3rI04hoaq9Ve81t/++Ivi4hJ69ulPy1Zt2LZ+FdnZ2SQnJfH9jz8Bj2JHQtu0Van/nOxsfJrYkpKZi1hf9YUIVWI1a+Pv1FhiWIRYTYHq8Ph789WXX/Hq2wuwdnCRu2fmr7tV7pycvP8Sp1Xl+3QpwsRFonJsXXBoWzLS0khOTMDbLwBnV3ecXd25ceUiOzatpX2XHnh41W1W0rxCGZ37DOfIvu08jIqhVfuumFmUz5gq0LBR9/5YUlLC66+9zvNz5qFvYsnabbuJj43lh2++5M+V6wlp1bqsbY8+/VTq88///cyebZvlJpD1lfugoSKUAnm2iIqKYuPGjWzevJnk5GSMjIwYPXo0o0aNwtvbW67tiBEjKCgo4Isvvqiyz3pb4nNzb8q5M6f4/btFStu2aX+w7P/KVmJDc5X39yT2Tk3w9A1gz5Y1Za9ZWtsycMRYSkpKOHfyqFr9aQKRSERo2/b0HjCYU0cPExsdVec2CNQt27Zu4b03XiE1JYmBPTohkRgw75VXiYmOxtXNrVp9njh2mHYdO2Nja1f2WkZGOjKZjNycHLZuXM/N61c1dQkCAgIqkJ+Xy2tzZxNx947Stq2a7Sj7vzLfF/DwI7XsaNu5G4kJcVy9eLbsNf/mIfQbOpKTRw6QkpSgVn+aQGJgSK+BI7G1d+Tgrs0qxeEINF5kMhnPjRvJnbBbfPzeW/z1v59p37EzfQcMIj4uliaurtXq98SRQ0x57rmyY6lUSkZGBqWlpdy+HcbmjRtITk6uogcBgaeLXr168euvv+Lg4MBnn33GiRMnWLBgQbnJ42McHR2xtq5aiVJvE8i1q5ZjbmFJbk6WkpZ5GBllK3WeACKgGPVLXbi4e6Lop7S1tenUvQ93bl2npKR+dhycnF2wtLYhKzOjXsYXqBuSk5N5ftpzODg6sXLjdgAOHdhHSUkJG9evY9z4CdXqd/qEMfTqN4DS0lLmvzCT0GaeBHo40ybQB29nG16cPpkpY0bw/JTxfLLgbU4cPazJyxIQEFAgPy+PiPv3sLSyJidbBd9nkKWy78vXtVDLFn19CU5NXMvF21tZ2xLYIpSb166o1Z+m0NLSwrtZELk5WcIE8ilnzT9/c/L4UcZMmMSGHftY9PH7yGQydm3fQuu27bG2sVW7z2OHD7Jv90569u7DrZs36Na5I0621jR1ccbL3ZXQ5kG8/uortA4J5tV5L/PN4q+IeviwFq5OQKDhMGHCBHbs2MGaNWsYOnQoenp6Vbbv2rUrhw4dqrJNjTRj1ZG0Jiansn/3Dvbu3M7GvUcR6csnvblxRv4hdsJs1TKjyoC4kO+gklgvRVnrY6mPTCYjOTaD0uI8jA20yxLnGBvoYmxggZ2dLYkxEfj4+Su1QVkJClXILZD/DC2trB4lS/EPrHHfj1FFflodua6ycxQ/H01IFiv6ztVGqY/aSIn9WOqzcdMWCgoKWbZmI7Z29kTev0+bdu05eOQ4EgNDJGbWKsuCHn9/iouLMTM3p1vP3kwdO4LUlGQmPTeDkeMmEBMVRX5+HpmZmbTv1JmtG9YRGxPDC9MmM3LsBN79aKEQf1QF6n5vc/UbhzRXoPqo4gvv3w3n95+X0rxFS9Zs2Ul4dIZcSYjCk/fk2necd12lsWVAdtffQMWyHI/v03l5uZQU5iItLZ9YwNXDk81rltO+c/daqcGorBSGjq4eEgNDUpMSsLZzULnf7HzNS+5UCYnRNBWFgyj6V8VnBU08f6jr9wBiM/LljlW5Pz72Z78u/Q6Ppp7Mef09tm9aT+v2nUjPzOHq1au4NfUqu8aKrq2y68/Ly6V12/bcuPuQySMG0nvAYAYOH0v/gQNJS03l9MnjdO3Ri4z0NC6eO8vZM6f4aekPLPn5dwb07aXU9id52iWvtVHWRaB+eO+99zTeZ50+2WRkZNCvc2uaBTbn21/+wsnZhdjkqtKH52FlI1VpBRbA5uJrJPX4Qz2b0lI5sHsbJiYVZ7Br074ju7dtJjzsFp269cDMXL1V3poSGBzC2n+W4ebhiat75dmQBBov9+/dRUdHG1c3dxZ99D5evr58sfBDVi9fho6ODls2rKN3/4FIJBKV+/z7t5/wD2rBpfNniXr4gAMnz5dlpbOzl38gmzJjFgCz5r7MlLEjaBPoQ9sOnTC3sOCFl1+Rk8AKCAioz8b163h1/nyGjhzNd7/8rsIZeRiRqrLvk5x8g/zeP6ll08Wzp7l35zaBLcvHVJuZW+Dh5cuav3+jqY8foW07VpktVtNoaWnRPLQdh/ZsZeSk54UFraeQoqIi0lJT6d6zN7k52Sz9ehGDR45lYLe2PIyMIKRVG86fPklo2/Zq9fn1ok+ZM/81Fr73BpNnzGbWy48SKxrq62BrZ49vs8ebAR4Eh4QyffYcDh/Yx7QJowkOboGLqytdu3Wj34CBmJjUX0ZiAYGGTp3eleNiYwD48c+VtOvUVWn78c9nq9y3CCjVUz/TZGz0Q3yaBTJ26vMVlu1wdnFj0vTZODVxYd3Kv7l0/iwZ6Wlqj1NdjIxN8AsI4mHk/TobU6Du+Pn7b/n791/xD2rOpnVrWL9qBbHR0ZQUl2BlbUNxcTFzZkzhpBry0s3rVvHnzz8w55U3mDd7Bm+894FKKc0trazZtu8Iy1ZvoGWr1mxYs4r2Lfz5ZMHbRNy7W669VCpFKpWqdb0CAs8iFy5cYOzEyXz42ZfY2ikv1Nxh/DWV+xYBpYaq79I9JjY6iuFjJtCiVbsK3+/UvTcDho0mIy2VbetXce/OrToN5/D0DUAkEpGeKsSqPW3k5+UxsEcn8vPyaNOhI6/MnoaJiRn//PErbTt2AeDiuTNMGKZa0hx4NHmcOWksTVxcSIiP4/bN6wwfO1Glc7v26MXVu1HMf+01dHV1ef2V+YQEBbB65T9kZ5d/DhXKrAkI1PEOpK9fM8wtLLl49nSlq0pZJf/9WBOSpNgo97XIgPzQ1ymxa0FluSYry04XE/WQpt4+Vcov9SUSWoS2xt3VhevXLrNt/SomTp2OkbHmS2xUJNWwMDMhNTlZZYmKorRDFTSRYVYTEhplqCKhqAuZRU3GKCoqYveunci09PjlhyWIxVrY2Nrx1vy56Ojq8sknixg2agy//7yUb79cxDc//kK3Xn0q7OvJv7VMJiMuJY+/fvuVGfMXkJRRgLmlNR5BnQmPzihr5+VsVqltIpGItq1a0LZVC+a8OJvoqCgWf/0NQ/v2oGuPXnj5+DLzxZcAbVo2D+RueDjZBTXP6iugOmJLQ7S01L/3iEulkFoLBgkoZczYsYwdPZq5byyotM351Atl/3eKLyDQRnm/Im0DjCatqdTvVUZ+Xh6ZGenY2juU21l8Uj5pZmFJ74HDuHbpPLeuX+FBxD169B2ktH9lElVVyM4vRqStT2ZuAbpGmrmnqyJxVZSsKjunriSumggzURdV/JwyyeqT4RdxMTGcPX2SlLQ0Hj6IJLBFCEu++oKszHRc3T3Yeeg4Do5OnD99gqzMDA6duaT0uUImkyESiQi/e5/DB/ZxNTKRj956hSGjJ6JvZF72uSnrRyKR0LtPX3r36csPP/3Mnt27+P1//2PhRx/Rt39/BgwcRJdu3Yh6+JBm3p68/e57vLPg/XL9PO2y1vpE8H0NizrdgRSJRLh5NCUhPk6l9pvXG5GdTbkEN48pQUwJeoi0JEj1zdS2RyqVkhAXjaOzi0rtHZ2d6dN/EH7+ARw5uF/t8apLdlYWJqZmdTaeQO0QGxPDO2+9iaONFUu/+46l3y4mNzeH3NwcDu7dw9hJUzhx6TrDRo0BoHW79oCMS+fPVSrhSktN5eyp4yQmxOPjYMZfP35JfMxD7oVdZ8vqv0hPTeZumGqxVBXh3KQJH3++mD1HT9EsIJBtm9azZcNavvv2G7S1tfnwk4XV7ltA4FnB08ubhLhYlZPCbF6vVanfAyhFi1KRHvr9q/f7i4l+iINTE5VkqSKRiKCQVvQbPJKEuFii6kgNI5PJyMvNxsi44vASgcbD8SOHmDhyCG2CfNixdRNrl/9FTnY2F86cQiaV8ulXS9i+/yjOTVzQ0tKiQ+eu5Obmkp5a+VP/9SuXiIl+yLeLPqaldxOWfPEJQS1C+WbRR+zbtY1t61fXaMe8T99+bNi8hR9++hk7e3umTJrArZs3+PjD92ni4sKI0aOr3beAwNNAnQcWxMVE4+DkrGLrHIyMKk5fLgNyRTacMP2ArH5/IjVzV9uWcyePYmVjh8RAvcyt/oFBZXLcuiAhPg5bexW2YgUaNLNmTOeHJd9SUFBAUmIi1jY2GBgYMGTEaM7fDOejRV9h/kSMbbOAIBydmvD3H/+jsLCw7PW83P/ihjes+ptJwwfQr1MrTExNycrMIKRNJ+7evsHxA7sAMNVA3K69gyMzXpjLmws+Yt7sGfz1x+9YWFiyb88e0tPTa9y/gMDTTFTUQxycnCsMk6iI6bPKS+QeTyhlQJ62DWebLELbsqnatuTn5XHmxDG8fNWrL6yto0NTb18SVVwArim52VmIxWL0JQZ1Mp5A7ZCVmcnYoQM4fGAfUqmU4qIiTEzNMDUz58PPv+XA2asMGTFKbpF0/OTnkJZK+fmHJWWvlZaWUlBQADxaXJg6egjdWwXy569Laertg5OzCwnxsWRnZpKZkYFvQJBG4na79ejBa2+8SZeuXWkd0oKsrCyKiorYtWOH8pMFBJ5i6jw9oKNzE27fuk5IqzZK277yZuXviQATWQLk51feqApuXbvCw8j7DB41Xu1zJRIDpFIpO7dtwcXVFf/A5tWyQRVkMhnJiYnYColMGj3bd+8p+/++vXuIjkvizQUf4VZJciSxWMzsl+bz7mvzmDtzKoUFBSQlJnD96hXad+oCwLUrlxg1YQpRDyL48c9VLPtrGVtW/8WP/+xArKVFZnoatvZOGruG0NaPEm4s/nYJ3br3YPqUyTSxt2Xhos95ef4rGhtHQOBpwtbWjrTUVDIz0jE1Uxarn4+DY/mF08fHIsCoJL5avq+kpIRd2zbh3tQTb99map9vZm7BhTMnKSzMp1lgC8wtrZSfVE3SU5Mwt7JRedIt0DAxMTUlJj0PeLT4uXHtKqzsnAhuGYpxJckL/fwD8A8KYsuGtejq6BB+5zYR9+6SlpZK3wGDCbt5HQdnZxwc2hIUEsqEqTOYPXksA4aM4NV3P2T6i/MwNLPS6Hene49e7N29m7+W/0NmRgbeHm4seOdtzl++go+aizECAk8DdT6B7Ny9N0cP7mX8lBlAVfEFle8+Pkkof2Jo+J1aNsQ8jOTG5TOMGDMBM3P15TEGhoZMem4Gd27f4siB/Xh4equVIVMdMjMz0NXTQ2Kg+iqsota/OjGRdRHPWFFpCk2U9qgNNB1X2at3+ZjGij6PTl274eTiwv274bRp15HwO7exsbXj0vlzuDVtikgk5uiBfehJJPTp2BJDY3Pe/up3ZDoGlAL2Tk3Utk3Rjif/JqYSc7mYxy8Wf01aWhofLniP0WPGYifslAsIlMPc3JxmgUFcu3yRjl17VNl22sx/dx+V+L7mOb8AP6psg0wm49DeXUgkEpWS2FWET7NAzMwtuH3zOudPH6fXgKGA+jGPqsQipqcmY25ZdSFrTYyjiXOUoRgnqezzqihng7oxj6qUftKEv1W1xBQ8enaa+NyMcq9X9Izy3OyXefOlWcTExmJuYUFubg4mJqacPHYEBycn4uPiiLx3l8yMDH5buoQe/QYx/eW3yM4rwtKuvMpNlbInVV3LoFHjmTh58qNzDQ1Zu3ETr7z0Eu+/9y7rNm5Weu1PA7VRzkygdkhLS+PTTz8lMjKSgQMHMnny5LJd/hdeeIGfflIva3dF1LmENTUlCW3t8l/CnOxMdq5fVnb8yhvK+xIBBkWxaq3EpqUkc2jvTvoOHFqjkhwGhoYEh4Ti6NyEh5ERSttXtyBySlISVtYqZFMQeCqxtLJm697DuLp7cP7sKd7/7GuOXb7N/jNXeG7WS6zYegAX96ZERd5n6ux5fLdyD45N1JdzVxdrGxu27NhJy9BWXL58qc7GFRBoTBQVFZGVkVFhNuSrF05z7eLZsmNbe+ULpyJAkhdNvhq+7/zpk6SnpdKz36Aa7czYOTjRpkNnYqMfKs3CLJPJqu37MtJSMLOo2QRSoPHSvXc//l6/jetXLmFhYcneY2e4Ev6AFes38+LLr7Jy826KCgsJv32LvScvsmDRkjot99Kv/wB27tvH2TNn6mxMAQFV+eijj0hISCAoKIgffviB5557riyjcGJiokbGqNPtnk8+/IAfly7lj9Wbyr23a/3frPz1awbSH4DUNDBWtQTP0QXQZ7HSZg/u3+XYwb2069xNjTjMqsnLy0VXt/KVweLiYnZs2UT0wwd4+/nRoVNXDAwNCbtxnejohzRxccPHr1mlDj05OQlrG2EC+SwjkUj4fcUaAPIKH62QWtvYMnDYSGLiEjl36hgGhoYMHjWelOy6Lashk8n46vNFnDl9iikTxnMz/B5WVrUnaxMQaGwUFhbi6eZCcGgbmoe0Kvf+/OeG490sCC8eSc1zc8HMTLW+S/e8A0O/rbJNcXExJ48eIupBJMPGjEdHp+bqkvy8PLS0tKuciCYnxnNw5yZ09fXxCwzByy+QwoJ87ty8Smp6Jj4BLTAxq3wRNyM1GbPWHWtsq0DjpVlgc45dCsNI8t8zVmDzFgQ2b8H/fn60gzJy3CSsbWzLZamtbRITEujbswdpqam8OOt5fvzl1zodX0CgKm7fvs2OHTvQ0dFh+vTpzJ07l0mTJvHXX39pbAyNTiAr2t5+ckvb3cMDQ0MDrl44Q0iLYCQGBmTnF3P72nmO7N0KQMu2fdDV0uXubbh7+9F5QWPuYZN5rsIxRQCmVcv0SoqLOXPiCFEP7tN74DBs7cvXzKquZNPO3oHdO7bRum17xFpikhITcPfwRFtHh5ioh9y4dhX3pk2ZOnM2F8+f5a/ffkFfXx+JgQG+zfy5eO4MN69fpVvP3lhUEE+SnJiIp7dPtWyr6bXVB3Hp8ivqDua1Iw1uCKgj/ansQW3bxg0AjJv2EoUlWhhL5JMGVCSFUkXKo6qduTk5fPLRhwDo6Oqxa89+Bg8fKSeNkkql/PbrL+Tk5NCiRQht27dHX1+/yjEFBJ4WdHV18fX1o6SokKsXTtP935I82fnFbFj2SIKanpZKp8nvAXA5GUgG0xF+OD1cVqXv07V2rfL3Gx0Tz56dW7CwtGL0hCnoaeB3l5VbTJFUh2KpiDUr/sY3oAWpyYmIxCIcnd3Iz8sl4m4YSQmxdOjWF4nEgGNHDnDh7CmKi4tx8fDGwNCIA9vX4e0fjFez5ujo6smNUVxUSEFBntoZWGtDflobYyorFVJZ2bGqUCVURfG7oo4P0iTqhNWIRKIK2y/77RcAeg+fTGxybrn3q/MZKuPJz2vfwSPEx8Xh6u7ByhXL+fSbpeX8dNTDh/yz/G+sbWzo2KkT3j6+5doIZT8EagNDQ8OyxUJHR0dWr17N3LlzmTp1alkyqppSpzuQ4ydOwsbRlV+XLuHIwf0sW72Bgvw8Fr40tqzN6fjDdHbqLXdejMsUYphSdmxrYyT3vqNV5fGBKUkJHN63C3MLS4aPm4KenmYfXLv36oN/YBDnz55BR0cba2tbrl25DICVtTWjxk3A0soakUhEl+49CQltTXFxEWbmFojFYpq3aMnpE8dYu3IFDo5OtOvYCWsb27L+k5OTaN+ps0ZtFnh6uHj2OAC9Bo2sl/ENjYw4cPI8Lz3/HAYGhqxa/hfff/0lazesJzUllQ3r1nL1yhWio6IYOmIECz/5iLCbN5nx/CxmzpqNo5PmEvwIaJZLly7x448/Eh4eTkZGBoaGhnh5eTFt2jQ6d/7vnrRlyxYOHz7MzZs3iY6OplWrVqxYsUKlMSIjI1mzZg1nz54lOjoabW1tPDw8mDZtGt27d5dr+8MPP7B06dJyfVhZWXHy5MmaXWwtIhKJ2LpzF8uW/8M7r77MrLnzmDpzNtcvnmbFz18CkBQfQ0ZuKmaGlnLnKvN9IV4VSzxLS0u5fvUyRw4fpl3HLvgFBGk0oYjEwIDh46cTfusaDyPCMfk3MdCls8cxNDLGycWdDt36lGVQ7TloDJlpKehJDMqynrt6+nLh5CHu3LiMp18QPoEh6Og82mnKSEvBzNyqTiWJAo2H/Lw8oiLvEdCiNTZ2jvViw6BhIygoyOeVF59n7KQpdG/XklZt2vHZos/YsW0b586eYeeO7bRq3RoLC0uWfP01unq6vPPeAgYNGYqenp7yQQTqhafB9+nq6hIdHY2z8yO1pZ6eHj/99BOvv/46e/bsqfAcdanzjCWt2rYjpFVr3pw/hxEDehGfmIy5lS1a2tq4+wSScSetxmPk5eZw704Yd2/fIj8/j5Zt2uPtF1Br2dxs7ewZMHho2XFIq9aVtjU2kdflisVi2nfqQqu27bl66SLrVv2Dl7cP3Xr1obS0lNzsbMwtLCvpTeBZJjEhnhMHd9OuSy+sbOovS6+tnR1RDx/w0aKv+OGbr3gQcZ/mzfxwcHRk+oyZTJ46lbbt2uPm/ig2My42lq+++Jx2rUN5ef4rTJw0WZBpN0CysrJwc3Nj2LBhWFlZkZWVxdq1a5k5cybffPMN/fs/CjfYunUrqamphIaGqhWTB3Dy5EmOHTvG4MGDCQgIoKSkhK1bt/LCCy/w9ttvM2XKlHLn/PXXXxg8kVRME5LM2kZfX5+xE6fQoXNXRg/qy9FDBzhx7CjWdo7YOjQhJTGW7PyMchNIdZDJZMTHxRJ24zp3bodhZW3N8DETsbCsHf8hFovx8W+Oj39zpW1FIhFmCglxjIxN6dJnKFmZ6Vw5c4w9m1YS0KINrp6+ZKSlYGohSOEFKmbpN58D8NycKlL11wEZ6ekMGT6KtJQUtLW1+WfZH6xbtYJWrdswfORIunbrxsDBQ9DR0UEmk3Fg/z6WfP01i7/8gvc/+pjeffqCsAPZ4HgafN97771X7jVtbW2+/vprevSoOpGbqtRLykstLS2+XPIjm9ev5bNPPiYlMQ5kMvJzc5je9OVq9VlYWMDDiHvcuxNGUkIcru6etO7QGQenJo1iFVNHR4eWrdvg3rQpy37/lZZt2pKfm4eFpWWjsF+g7jEzM2fx/9bSvFX7erXj+JHD5OXm8vnHH5RlI/7fH38ydvyECts7ODry7fc/8Pzs2XyzeDHBAc0IbhGCjY0N58+dw8TUhA8/WUj3Hj0RiURkZWWRkZ5OZmYGd27f5vq1azx4EImxsQlNmjShWUAAXbt1l7uxCtScLl260KVLF7nXunbtSvfu3Vm7dm2ZE/3jjz/K7lGDBw9Wa4x+/foxfvx4ucW9zp07k5yczM8//1yhE/X398fERNUA+YaFcxMXdhw8xleffYJUKiU5IZbkhFg8fPxxsqxe8qu01BRuh93i9q2bAPg1C2Dc5KmYmZlXKwN3XWNiak7HXoO4ev4k925fx9XTVyMZWAWeXkaNn0z7nsNwcfesVzv27NzGudOn0JdIKPh3AnHp2g1cXF3LtRWJRPTs1ZsePXuxbs1qvl28mJfnvEi7tm0RiUQcOnSIfv368c0332Bra4tMJiMpKYns7GwSExO5evUqV69eJTs7G0tLS3x8fAgNDaVVq/Jx1QI142nwff7+/hW+LhaLy+yvKXU+gXwyNmrKpPG8PGsaAAPGPs/NiyfxeLX8H8HAWH6r/8n4gfiYKI5fvkX0wwc4OrvQPLg57k1HNYpV6Yq4dP4c/gFBmJtbEPUgEmtbW+Un1QGqpPvWRDxFY4rXVBd1Px9lD396+vq0aFPzJBM1fcg8feokUqmU9LQ0ft15gKKiIjp0aK/0eu1dvfhq6f94/7Mszp0+SWZmJuOnzSItJZk5s2dTWlqCvb09d8PDMTe3wNjEGE8vLwICAuk/YCA52Tk8eBjJz0uX8tZrr/HF11/Tp2+/Khdc6ire5GlNZ66trY2xsbHc/bUmC1wWFhUnUQkICODcuXMUFBQ8NfGyj++hpk52dOvSiRV//oZDE3ec3ZoSFNoes87ydRkV/R78F65RWlrKjSsXWXHiHnl5eXh6+9B3wCCMza3LHkjqc/KoblxgUWEhd25dp1WXfmTnF5OQkIC1U1O5fhTjBmuLvOxCtdpX9HeqKaqURVG3rAeoH//eUFBMkGNh64y2Uf3eY6VSKdevXAHAzcOTj774FucmrpjZ2lfp+0wl2oweO47RY8cRHn6HsFu3yMvNZcHHn/D3X3/i4eGBk7MzRYVFZGZlYmpiio2NNQEBATRv3hwzMzOSkpK4du0aX3/9NS1btuTzzz/H3b3usq9XxtMcz/m0+L78/HxiY2PJyMioMEN2aGioyn3Ve9G9Vp37YGxmQX5uNiEdeqp17oP74Zw7cYjevXvQrVc/9GupFmNdERsdzf17d5k8/XngcQmPhjGBFBCojGOH9gPQf8hwmgU2V/t8YxMTuvfuK/dajz79yEqOIyYmhubBwUp3F/ft3cPHH7zPwo8+ZPG339G2XTuhAHklJCQklHvNxMSk0pVNqVSKVColNTWVtWvX8uDBA954Q4U6S9VEJpNx9uxZnJ2dK3Sg/fr1IzU1FUtLS7p06cL8+fOxrCWZZm3h6eWFd0ALhoydwU+fv82MVz9C1fzJMpmMA7u2UVpaQs8evXB0ci57kGkMO44VceXcceybeGBl64BUKiUrIxUTc0HCKtBwuX83nPz8PBCJePeTLwhq0VLtPry8vPHy8i47/uTTRbz3/ofcDb+DVColIPBR7HJlE7P8/Hw+//xzWrduzYgRI/jggw+ws6u/cJaGzrPs+/Ly8li0aBFbtmyhpKT8AodMJkMkEhEWFqayvfU6gRSLxcz98Af2bVrO9lW/8ulv2yjNU+3c9NQUzhzdT48Bw/Fr5lG7htYBJSUl7Nu9g649epV9cZKTk/D08a1nywQEquZhZASjJ07loy+qLiegDiKRiCYuLjRxcVGpfa/efejZqzdrV69i9ozpODk7s+jLLwkMaq4xmxoKYlMJYl315brioiJIhfHjx5d7b86cOcydO7fC8+bNm8fevXsBMDIyYsmSJXTq1Ent8VXl77//5saNG3z22Wdyrzs7O/PKK6/g6+uLjo4Oly5d4vfff+f06dNs2rQJU1P1MnbWJ0HNg3n3q9/59sP5hHbsibWtA4lJOSqde/HsKQoK8hgwbAyO1o1TyvskiXHRJMQ8oGP/R8n0crMz0dOToCskGRFowCQlPaqlt3zDdkLbtNNYv3p6evgHBKrUViKR8NFHH/HKK6/w3nvv4efnx8yZM3nnnXcarcy/KgTfV33f98EHH7B9+3Z69uxJSEiIRvxlvU0gpVIpq/75hwXvLcDC2o5Fv6zDwdG+QumLg4X8F+byuZNcvXCa1h27Vzt5SG1IN1SReVbG0cPHcbK3wevfCaNMJiMlKQmPJg4YKOlXmVSwJnapQ12NI/AftZGqXN16WmfDE9DS0iKnhin0FX+TiiVdlLUH6NR3GO16DmL9yr8ZPGAAA4cO54NPv6iwgDvUnuTmyX4NdBvW72LlypXlVqmreth4/fXXmT59OikpKezYsYN58+bx+eefM2DAAI3bduDAAb788kuGDRvG8OHD5d4bMmSI3HHbtm1p3rw5zz33HCtXruSFF17QuD21QWpqKgveeZsN6zfQZ9h4xj//KlA+w6qiZDMnK5Mt6/4hMT6OidNfQEtLvmRPdanr+nnwn8S1pKSY44f2EhDaqayUR1Z6CiYVJNDRRIkOdeWptYWya1Hlvq74d9OEpFUV1H12aky74urYGtSyLbdi0jT2O3wSdcNdtPQNWLT4G1565TU+fH8BXt7e/PH77xqLdXtaeJZ938GDBxkxYgQLFy7UmM31kp0lPz+fUcOH8dsvPxHctjMfL12JQxM3lc7Nzcnm6oXTANja10/6Zk2TlJjIpUsX6d23X9lrmZkZ6OrpCYlBBBo8teFAa4K2tjZjJ09j9/HzRNy/y+Qxw0hJTqpvsxoMdnZ2ODk5yf2ryok6OzsTGBhIt27d+Oabb+jQoQMff/wxUqmqokvVOHLkCPPmzaNnz54qO7n27dtjbW3NlX9jkRo6ly9donVIMHl5eUye+zZT5r5TrgZiZdwPDyMxPg4zcwsMDI2Un9AIuH3lHGaW1jg0+S9+KzM9BVNBvirQwBGJRA3O99k7OPDr73+wYtUapk2bxrfffqvx+3Rj5ln2fTo6OgQEBNTAyvLU+QTydtgtenXrgpmpKQeOHqdZ89YkJ8SqfH5iXAzOrh5Mnv0qFlaNP/W/VCpl544ddO7SFWNj47LXkxMTsbJu/NcnIFBfmJiasWz1RgKDgunRvhXvvPoyEffv17dZjZ6AgAAyMzNJS6t5yaXHHD16lDlz5tCpUycWL16s1oOZTCZrFJmq//rjD4YOGsCSH5by/Y8/kZuVqdb5ifEx9Oo/hFETp9WShXVLRmoyD+7dIqiVfJ3jjLQUTM0bV0yrgEBDom27dpw+fZp169YRGhrK4sWLKS0trW+zGj2N2fe1bt2aq1evVtfMCqlTbVV+fj4jhw9n+qwXmTz9efJKROjq6VFY8J9UraJMa0/KOdKSovD2dMHpCblPY8kkVhHxcXHEx8Xi6urKhnVrcXP3IKRlS/IzU3FzdlCpD0E62vDQREbahoxilkBFyVV1ZHHKJFmq9Kl4L8gtKGbO6+/Rf9gYNqxezugRwzh8/CRGRk/HDk5dI5PJOHfuHCYmJpiZmWmkz+PHjzNnzhzatWvHkiVL1MqgfeLECVJSUggKCtKILbXFwf37+WLRZ6zbtgdvXz8Ki4ooLS2huKiwbAdS0fc9+ZsqKMgnJyMJlyaOmBhWvmNZ0fdfGcp+Z6pkBFVGRZLNiDvXKMzPI+LONTJSk2kW0h5Tc0uy0lIwbdmhnNy0NrKdagJVZLGKbZTJleuL6shia0Oiqsp3UPE7pe5nWB27NSEbrs6zgWI4h4O58oSR1g5O7D5wiGNHjrDwk4/Iycnhww8/VHvsmtDQwjdqQmP3fW+99RYTJkzg77//Zty4cRqpVFFnf92ioiImjhtLy1ZtmDJjFinJSVy5eIGE2ChsHJxV6iM9NYWHEffo84TUs7Hj6OTEjOdncf3aNZybuHD82FGcnZ1JSkrE18+vvs0TEHgqcPNoymvvfoSopJC+Pbuze/9BYRKphFdffRVHR0eaNWuGubk5ycnJbN68mTNnzrBgwYKyuNJ79+5x7949ALKzsykpKWHPIhbRYAABAABJREFUnj3AoxVbR8dHoQZnz55l0qRJckkLLly4wJw5c7C1tWX69OncunVLzgY/Pz90dR89pA0ZMoQhQ4bg5uaGtrY2ly9f5o8//sDFxaXC5AgNhRvXrzFz+nMs+fl3vH39uHblElEPHqClpU1xcbFKEtbrly7g7OqOqZl5HVhcNzRv0xUbe2dSk+IxNrPgwvF9dOw9lMLCfAyNTSnQwMRVQOBZRltbm249euDj60v/3j3R09Pj7bffrm+zGjxPo+9zcHBg/vz5vPnmm3z11VdYW1uX270UiUQcOHBA5c+pTiaQJSUlTJ00AR0dbb76/icArl25TGxMNC3bd8PFw1tJD4+4ffMafoHB6D0ldcEAYqKjSUpKwtzCAqlUSrv2HVizehX5eXl06tK1vs0TEHhqEIlEfL3kO+bMnsWM56awcs26+japQRMcHMz27dtZu3Yt2dnZGBsb4+/vz88//0y3bt3K2u3evZulS5fKnfvyyy8DsGjRIoYNG1bpGKdPn6agoIDo6GgmTpxY7v2DBw/i5OQEgLu7O6tWrSIpKYmSkhLs7OwYOXIkL7zwQoPNOHj7dhhDBw3ky8Vf06lrdwAOH9iHt68fvYaOUymWUSqVEnbjKoNGjK1tc+uM0pISYh7cRSotxdDYFGNTc1IT4zi8Yy1GxmaNQpIsINBYcHB05NixY7Ru3Rpvb+8q78kCT6fv27RpE++++y46Ojq4ublpxGfWyQRywbvvkJebx5oNGymQPtL3unk05fLF82iZZnHn+iVcPX3R0698W764qIjwsJsMHtVwV5rVQSaTcfPGdQ4dPIhH06bIZDKSEpMwMjLEzMyM+Li4RlfbTECgoSMSifj2+x8YMqA/E8aOZvmyZRqTozxtTJgwgQkTJihtN3fu3ErToD9J69atuXPnTrXOBfjmm29UatdQyMnJYdjAgXz48ScMHzmqTLpm7+DIzevXcG9uSUZqMs5unlXWLI24exszCwvMLJ4Of1BSUsy5o3soKSrCwMgEsZaYW5fP0MTDh7s3L8sl1BEQENAM9vb2bNmyhd69e5Oamsr06dOFWsmV8DT6vl9++QVfX19+//13LCwsatwf1MEE0lBXm3/+XsaNGzewNDEiPCELgLT0TIpLpIRdu4i1nSM3r5zD0y8IGysLHJxdy63MpqWmoKenh5m5Zi5cE6gae1hQUEBmRgaZWZlEPXxIdFQ0aWmpSCQSRo8Zi+2/aYULCwu5eOECyclJDB46TFiFrUfqozRKXaU7Vzc+UZUYqOrESalbgqQ68TgVxUfr6uqyefsO3nv7LYKDW7Bjz15cXF0r7bO2Sn0IPL0Y6elwcM8xfHy8eX76o6Q3j+OYCotLQaTF1XMn0NOXcPvaRTx8/DE1NsTVw6vsoe7xb+r+/QeYWzuTlVuMnYVh/VxQNZDJZOTlZpOXm0N8fCKpSfGkJMZSmJ+HrZMLHXoNQfxvwgg3L39iH97H0bUpvs1bV9ifKrGGinGSDaVsR0FmgdxxdjXiOZXdL1W5r1cnrvxpQRPxi6qgrh9XJYeHpvJ8tGjRguPHjzNq1CjOnj3L//73P+E58xkhMTGRyZMna2zyCHUwgUxKSkIsFpdpgR/j1MSFgOYtkBnYYe/kQlZGGmHXLvIwM4Xzp44wfPx0dPUeSVVlMhlJCXGIGtkXvaioiKNHDnPt6lVMTEwwNjbGybkJnbt0wdbODkND+YcBPT092rVvX0/WCgg8O+jp6fHVN9/i7uHBkIH9+fGX/9G2XTthRVZAY9y+fbvCtOlBLUKJi4nC0M4HiYEh0ZF3eXj/Dg/zsoiLfkD7rr3L2hYW5JOVkY6RccOU6FZGemoSF04eIjszAyNjU7T0jbC0dcCzWTCGJqZoa8s/EJtb2WJuZVtP1goIPDv4+Phw5swZevbsyaxZs/jggw/KPZ8LPH24ubmRmale5m9l1PoEMiEhAWNjY6RSqdxKh5GxCV169OZ2VAYAJmYWtO7UE2OJDjs2rCQ5KQFHZ1cATh45QGJ8HN16a754Z21QWlpK2K2bHDl8GBdXV2a98GK5yaKAgED9M/vFOejrS3h5zgsUFRax9Odf6Ni5s/ITBQSUEB8fX2GciYenFx6eXmW+r4m7F03cvSjNz2L/jg1lvrKwIJ9t61fg7OKOt3/zujW+muTl5nDzygVu3bxO81YdcPX0QywWV5iFVUBAoH4wMDBg+/btvP322wQEBNCuXTvWrl0rPKc+xTz//PN8+umnDBs2DLt/VY81pdYnkIGBgbi6urJw4ULef/99lbbimwWFcO7EIfoOGYNUKuXmtcuMHD8VCyvr2ja3SlSRLRYXF7N18yZycnIZOGhwldI4gYaLuhLVuirb0VAkR7XxQKiupFVTsp6p06Yx5bnn2L5tK89Pn8avv/+Bp5cXdvb2Gulf4NlkxowZdOnShTFjxuDn56f0+2pqboGZhRWXz50guFUH7oZdR19fQptOPcraJKTlyp2jKMNTHEOV34gyyZ3i77IyuXpaShL7d2zExd2TfiMmoS8x+M9OhRILFd0/lMlNG0oZD0U5qr6p8qR+ytqoUpJCE+VUlPXpaK18AlFXoRb1gbr+tTqy4epQGyEzFhYW/PrrryxZsoQpU6bw0ksvMWvWLPz9/ZFIlJcJEWhc3L9/H1tbW/r27UvPnj1xcnKqMAvriy++qHKftT6BFIlErFq1isDAQCZPnoy2qY3Sc9w8fUhNSWT98l9BJCKoeTDmlla1bWqNKCkpITYmhoP792NpZcnEyZPVKggqICBQf4hEIgYNHsLd8HAWfvwRYWG36NO3H/NffRVrczOKiorQ1dXl5s2b6Ovr4+/vj62tILkTqJxmzZrxwQcf8Morr5Sldq8KkUhEh2592b9jA7euXkQs1qLHgIafLTE/L4+HEeFcOXeS1p164NbUW9hxFBBoJEgkEpYuXcqLL77IzJkziYqK4tNPP6V///4UFBSgpaVFfn4+t2/fxtXVFT8/P2GC2Qh5Mlvstm3bKmzT4CaQAFZWVmRlZak1oWrZtjMhbTqRnZWBo711g45Nkkql/PzjUgwNDAkOCaF5cHCDtldAQKBiXn39DV59/Q1yc3P5bOEnjB4+nNLSEnR0dCgsLMTb25vi4mKuX7+OtrY2L774Iu+//77wexeoEDMzMwoKCpQ3/BeJgQGDRk2iuLiI4qIilcp81Cex0Q84vHsr9o7O9B48usEv9AoICJTH2tqadeselbW6cuUKCxYs4MMPP8TIyIjS0lJ0dHTw9vbm4cOH3L17Fy8vL3766SfaCzk7Gg0HDx7UeJ91MoHU0dGhVatWrFq1ijfeeEPuvQQrA7njJyUVIpEIE1NzTAzlpSvKZAPVkbbVRCKQl5dHUVERc1+eV+0+ngaUZavMKRRWpZ9EmRSoochVq0N1diDUlbCqIqVSvBcoSo0r+90bGhry6aLP+XTR5xW+L5PJeBAZyZSJ47G2tuaFF15Q0eqaIzbVQ1yNWrjigoYhAXyWaN68OTdv3uTevXs0bdpU7r3cJmZyx49jIh8hwse1/A63fBtwVDJfq8gX1lSC+OTv9H52Cs1bBOPfslON+gTlGVQVjyuStNZG1lVFyaoitjbKJ/nK7oeKdmdXIGFVF1VksOrec6tDQ/VjdWWXsuyvFf0elfktRVR5flV8/qrsea158+Zs37690n6KiorYtWsXgwcP5ubNm3WqxBF8n3rk5uaWxbXWRqKkOklrKhKJWLlyJYsXL+bChQt1MWSdEhcXi4ODQ32bISAgUEeIRCLc3N1Z8sOPfPbZZ2rtMgk8O/j7+/P+++8zduxYSktL69scjZOcmICNneD7BASeFXR1dRkyZAhjx45l8eLF9W2OQBW0adOGWbNmsX79elJTUzXef53VxXBxceH999/nq6++qqsh64ykxCRsbIR4KAGBZ43gFi0ICgpi1apV9W2KQANlzpw5yGQy9u3bV9+maJy0lGQs6zm5nYCAQN3z1ltv8fvvv5OdnV3fpghUwssvv0xmZiYffPABnTp1Yty4cSxbtozo6GiN9F9nE8jMzEyCg4O5evVqXQ1ZJ5SUlHD92lU8FORJAgICzwajR49m165d9W2GQAMlNjaWjh07PnW+LybqATKZDFNzzRWmFhAQaBw4OjoSHBzMsWPH6tsUgUqYPn06q1ev5tixYyxYsAADAwO+/vprevXqxaBBg/jhhx8ICwurdv91EgOZk5ODn58fcXFxvPrqq3Lv2Vkopo3ORRnlz1FObaRBBjh14gTW1ta4urnVSv+aQFlsoiqoEr8oxDhWTX3EPKqS+l3VNP3qUFH8jTIUx9VE+vO6oHv37sybN4/S0lIh87KAHBs3biyTr549e1buPcU4p3KlLiq4H4R4ye/2VSeeUXFcxT4Uf3cV2VFSXMyJw/tp27n7v6ng5eW5iteiyj0mLi1P7rg6ZTvqo9SHKvHe6sZmJibllHtN3WuryC4HC4MKWmqWuootVOZjNBHvqcwXVqdPZTGR1aGiGEllz7yqxkRWRY8ePdi/fz/9+/dX+1yBusPKyooxY8YwZswYcnJyOHLkCAcOHOCvv/7ip59+wt7enp49e9KzZ09CQkJUTgpYJzuQeXl5ZGdn8/Dhw6dKM52bm8uFC+fp1advfZsiICBQTzg6OmJqakpERER9myLQwIiIiGD48OFkZ2fTsmXL+jZHY9y+dR0zc0tc3QXljYDAs0q7du04f/58fZshoAZGRkYMGDCAJUuWcObMGX766SfatGnD9u3bmTBhAu3atWPnzp0q9VUnE0gbGxvmz59P+/bt2bhxIzKZrC6GrXVyc3LQ0tLC2Ni4vk0REBCoR/z9/bl06VJ9myHQwJg6dSrh4eEMHz78qVpgyM7MwMxCkK4KCDzLBAQEcOPGDYqKGmamXYGq0dXVpWvXrnz22WecPHmSFStWMGjQIPLy8pSfTB1JWAE++ugjevTowaxZs1i6dCmffvop7dq1K7fNnlvBdr5i6nJFGY8itSVXVcTG1hZjI2MeREbi5u5eJ2NWhCYkqs8SylJiQ919h55EFSlLXchcVZGbKZMPqSLrUlfmqolrVyU9enX+9uPHj+ebb75h1KhRQk1IgTKsrKw4ffo03377LaGhoUyZMoW3334bKyurct8zR2v50AxFvwfVC9+oKRXdl1qEtGD7xnUY9eypse+7uveUimShykpqVKe8kKJ0VJX7lrrjKJYK0TdVXqpA8foV+7BwMlXLBk2higRa3XNUkYpqIvRCkdooc1IdyaqizFyVUnWqlqyqCmVhSZaWlrRt25Y//viD2bNnq92/QMNBJBIRGhpKaGioyufU6VPy40QCy5cvZ+zYsQQGBvLO+x8QEBhUl2ZojKKiIoyMjcjIyKhvUwQEBOqRUaNG8eqrrxIREYGHh0d9myPQgNDV1eXNN99k0qRJLFy4EG9vb+bOncvMF+diYmJS3+ZVC21tbfLy8igtLUVbu+4X2wQEBBoG8+fPZ+HChcIEsoGzdOnSKt8XiUTo6+tjb29P69atsbS0VNpnnd/5tbW1ee655xg/fjy//vorQwYOoHPnLixZ+mOjcaZSqZRTJ09y9sxpHBwc8PXzq2+TBAQE6hGxWIy/vz937twRJpACFWJvb8+PP/7Iq6++ykcffURQM1/e//Bjpk6bVt+mqUxWZgZHDuwjIT6WNh06CZNHAYFnnICAAMLDw+vbDAElLF26tEwtohhGqPi6trY206ZNY/78+VX2WW93fz09PV566SVGjZ/Im6+9ypgRw9m+e099maMyeXl5bNqwAS0tMdNmzMTMzKy+TRIQEGgAeHl5ERYWRr9+/erbFIEGjLu7O3///TfnLl1mzIgRaGlpMWnKlPo2SylRDyLYt2s7zVuE0n/IcCHjsICAAPb29uTl5ZGWloaFEBfdYNmxYwdvvvkmurq6TJo0Cbd/K0dERESwfPlySktLWbBgAfHx8fz111/873//w97enjFjxlTaZ70vH9pZmvPXH7/Ts2dPvvliEYMmzy3XRlnMgSqpzDUV07Z54wbs7O3o1r3Hv+nL6x4h5rHuUSVusiGiiRiO2ogDUaXfukgHr8p9QdW/fYcuXfn+2295fs5Lwm9UQCmtWgSzc+cOOnXqRKf2bdG1aiL3fkV+T9HXxSbLl71SjKNUBWVlPQDS09LYu3Mb/QYNw9G5Sbn3lcV1VSemTTGOUPHzqE6pIEVqI54RlJftUIxXLMqQPy7cXz7hUnq6fButXkryLtRTDKQidVWOqaHEK9YGqvxGlZ2jLCayOmXYHp/TpVs31qzfyAvPz1C7D4G6Yd26dejp6bFixQq5xT8fHx969erFxIkT2blzJ2+//Tbdu3dn+PDhrF27tsoJZP3MgBQQi8WsXLmSv//+mwO7tta3OZWSl5dHfHw8Xbt1r7fJo4CAQMOkTdt2nDp5gtiYmPo2RaCR4Ovry3fffUf//v3JSE+rb3Mq5UHEPZp6+VQ4eRQQEHi26dipM2tXr6pvMwSqYNeuXfTt27dC5Yi2tjZ9+/YtK9/x+DgyMrLKPhvMLMjOzo5169bx1cfvkJmRXt/mVIi2tjY6OjqkJCfXtykCAgINDEtLS9q170DE/fu1Oo7IVA+Rub76/0zrvsi6gHLGjRvHwIEDWbzwg/o2pVKMjI1JjI+rbzMEBAQaIH379efhgwe1Po7g+6pPdnY22dnZKr9vbm6uNMN2vUtYn6RVq1Z06dGLXRtXMnPuK5W2C4/OkDtWlC4oynoAvJzN5I7VlbTm5+eza8d28vPySE9Pw9bOTq3zBRoOmpAzK/ZRVxJXdaVidTFmReNWR06kCbmQ4m9fWZ+qlPFQ529tbGJCVnaWMjMFBOT47LPPaOLiwktvvIuN7SPfUtFvqCLf9iTn78gvboZ6ly95pUwOp/j+zVu3uXLhHKkpKUil0mqpb6pT2sHRyqDK9ysq26AoN62O/FRdVBlDmWTVxMVM7riiO4jivoGumXypD8U+a4vqyCn/z955hzdVtn/8k9W99x5QCpS9t+whKnsoS1FR3Hu9/lzvUHG8+oqCKCAiS5ApyF6y96ZQWkYn3Xumyfn9UVqaNG2SNm3S9nyui0tzznOec580Od/c57mHsZhCC7Q/Y7WZU1+7DFNcuyEtOfQdczej6n2hNvPWFgdHR1H3LJw2bdqwatUqxo4di7+/v8a++Ph4Vq9eTdu2bSu23bp1C0/PmlsmWswKZDmPjJ/MpnVrUKlU5jZFg8TEBGKio3nmuedp01asuioiIqKJIAicO3uGiIh25jZFpJHh5OTEA0NGsGndanObUoVrVy/h4OTE08+/LKZuiIiIVOHsmdOi7lk4b7zxBtnZ2YwePZo33niD+fPnM3/+fF5//XUeeughsrOzK6qulpSU8Oeff+rtCWlRK5AAvfsPxMnZme1bNvLw+En6DxAESIuG5PPQZjzUY2W40tJSCvLzxUpTIiIiVcjNzSU7K4vQFnqKW4iI6GDuy28wc+JDTHv8KRwcDWhpVVqKdeRvFLedCfXYTkMqkZKenopEdB5FRER0EBMdTZtKq1cilkfPnj355Zdf+PzzzytyHctp374977zzToXDaGVlxf79+/W2abI4B9LfzY5PPvmE1199mSdmTMXKyopTNYTtSPMSkF5ejJAZi5WdE1btHiYhraDKOO1QA2PDGFu2DGPilCms/G054ydNIjy8tVHH1xaxmqNlYIqw14YI/TGEhqgsZ0jIWl3t0BWiox2q3pDkZGdj7+CAWq02mw0ijZfRA3syauQItq5eyocffsj+S0k1jre6sR7r23uwtnWATtMASNSqw6Pre2dsaNuwBx9m386/WPbTDzw596V66/1YL1U0TVCpVRtDQlbtHDVzrrRDWLXDT7XRtx/Axln/mOaMuSqoNmToaDmt/atW3K2PtJrqKrnm5uRga1dzyLmI+enevTt//PEH6enpxMfHIwgCgYGBuLu7VxlrZaX/+2ORjxQHDRlCeOvWPDfnaYqLayiHLQgozm1GSIsGVQkllzfVa+hr69ZtsLK2Jjen+kRUERGR5klAYCAKhYL4uDhzmyLSSPn3v//N999/z4YNG2oemJeHdfQmQA2RW6C0/nKwpVIprdu1p7ioqEoDahEREZGu3btz4dw5c5shYiDu7u506tSJzp0763QeDcUiHUiJRMIvy1dQVFzEo5MmolRqPkUtVSoRBAFpXgKK7MP3dxRlobq2XWOsIAiUlppupWfkqFEcO3qE0noUbBERkcZH5NUrSKVSfHx9zW2KSCMlNDSUHTt28PLLL7Nz81qNfeW6B2B75C3u18crhSuaY02te37+gbQIa8XJo4dMNqeIiEjT4MD+/XTt3s3cZogYQGFhIdHR0Zw+fZpTp05V+WcMFhfCWo6dnR2/rljF9EensHT+PJ59/QOgTES//+JD/PyDmBGq0vSA761C0rMPyGQIgsDmVT9zNyGWL7/5BoWi7qEFEe3ac+L4CaJvRInFdERERCrYs3s3Dz38iEGhHyIi1dG1a1f27NlD334DCGvbnpbhEfd1LyCYyROmIy/J0jwocgu0mwKUOY9/rV1CSmIc/5n3JXIT6J5MJqN3/4FsXLuKnn0HmERLRUREmgZ7du1kwaKfzW2GSA0UFBTw2WefsWnTJp0LYIIgIJFIiIyMNHhOi3MgNXL+rBX8uGABHTp24h/vv4u7hyclJSXE37zOiQM7sOlix4z+gQiVe5Xkp9Ci4BiKiIf45cfv+WvdL/gHBJGbX4zC6n74TbZWnLoxOW7de3Rn3969uHt46i1z21jJKzZPfp5I3TBX3oe+8xpiV0PkjtRHC5fye9bxI4d59NFHxbxlkTrTpk0bnn3hJbauWsQPS36lpKSEpDtRnPh7NzZR65nRyx2JRMJ9RSuFs7/hGzGddcsXsWfDr3j7BZCdV4JC66vno1UDztDcbHcPT9w9PDm4ZyeDho+qt1xIU5KckqfxWjs30VLQtkuXnQW5xXrHVEZX/md95JmaIre/IdplmMKOuo7XhSk0qaHm1aV96enpxMXG0q9XzRU7RczLRx99xJ9//snw4cPp1q0bzs5V82aNxeIVIDAwkJmzn+LFObNZ8cdmFAoFwx98mF/mz2PVkUwApvcP1Gh4WXxpI8sPxrB88Y9IgOEPPmxSm9p36EhBQSG/r17Fiy+/YtK5RUREGh9ZWVkcOHCAX375xdymmIxjx46xefNmzp07x927d3F2dqZjx4689NJLtG59v4jYzJkzOXnyZJXjR48ezTfffGPQuZYvX87KlStJSEjAx8eHqVOn8tRTT1VpGxEbG8vnn3/OiRMnUKvVdO/enXfeeYewsLC6XawF8sScuYwe0p8/1qxk4tRpjHpoDIt++I5VB24glOQzc0AQVNI9IWYr607msH7VEgD6D3kQmVxOqVJpklVIgAcfGc+2zes5c/IYvfoOMMmcIiIijZf169czcuTIRvFAyVCaovbt3buXSZMm8e9//9ug8YbQKP7ib/7jQ4b168G506fo3qs30yaOZsevXxCTrGLVkQQEYMY9J1IQBFbuPMPqM/uQyG14fM7zAHzz6Ye8/v6/TCKkEomE7j16cP7cWfbs3sXQYcM1HFgREZHmxR9//MHQoUObVIuf1atXk5WVxRNPPEHLli1JS0tj8eLFTJo0id9++43OnTtXjA0JCWHevHkax7u6uhp0ngULFjB//nzmzp1L7969OXfuHN9++y3Z2dm8+eabFePS09OZNm0a7u7uzJs3D5lMxsKFC5kxYwabNm3Cx8fHJNdtKTg4OvLf7xfx+ovPMunR6Tzzwstkn1jBz7uSWXKgrFDTjAFBFbq34nAc6098B1b2TJwxh0kzn2H9ip9JSojl+Tc/Non22dja0rvfA2z/cyN+AYEEBoXUeU4REZHGy/Lly3nnnXfMbYZJaYrap1Ao6NChg2FvgIE0CgfS3dGGPn36cPncSYYO6k/U7XQGtXUnKbOIghIVq48kAGVO5IrDcaw+mgDWTjxxz3ncuukPhj88AVmlJyT62nroKoFceYxMJmPm40+wds0aDv/9NwMGDjTZ9VZGVyipGCLXNLCUth6mwByly+sr9Kc2LF++nNdff93cZpiUjz76qEqFtv79+zN06FCWLFnC/PnzK7bb2NhoiKqhZGZm8uOPPzJ9+nReeaUsmqNXr14UFhayePFiZsyYUSGOS5YsIScnh/Xr1+Pt7Q1A586dGTp0KAsXLuSTTz6p5ZVaJs62cvr07EpGWipF2Wk4u7gwo5cb56NdOBqVyZIDcQjAzAFBFbonAaY9+QbTnpzLql8WsWvrBgaOHEuBUkByr6jO3QzNtlg+bvY12qH93Q5v1RLrCRPZtnkjU6bNwMPTy+h7lyEh7bpakNQV7TBQXRgb5qorVFS71YexLTdq037E28vB6GPqI+XBEF0zhV4Yq58NpVH6fktakm7VlZiYGKKiohg1apS5TTEpTVH7evXqxYULF5g6darRtlaHRVZh1cWMWY+zbOkS1Go1tpf/zfT+gTzW1x87KxkFyjIncuYPZ8qcR2BaN0egzHl8ZPxkpj851+SrhHZ2dkycPJkLF84TExNt0rlFREQaB6dPnyYqKorRo0eb2xSToqu8t5OTE8HBwdy9e9ck5zh06BDFxcWMHz9eY/v48eMpLS1l7969Fdv27NlD3759KwQUyp70Dh48mN27d5vEHkvDzs6OMePGs/zXZSRvfBepVMpX09vRN9yVIqWapQfimPH96fu61y+AaRMeZdUvi9i5ZT0DR45lzGNPm1z7gkNCGTRkGJvWrxMrkouINFO+/fZbZsyY0eSKajVF7Xv33Xc5fvw4v/76K0qlaRYrGo0D2advX+zt7dn+1zYApBIJMyo5kRn5Sm6nFZJTWMq0vv4AbFn/O4+Mn8wTz75QbyGmjo6OtGjZkqTEmps+i4iIND1UKhXPPfccn3/+eaOpvnr37l3i4+M1/uXk5Bh0bEZGBjdu3KBVq1Ya22/dukWPHj2IiIhgxIgRLFiwwCCRunHjBhKJpMp8ISEh2NjYcOPGDQCKioqIjY0lPDy8yhytW7cmPT2d9PR0g66hsTH3+ef5edGPCE4BABpOZH6JipiUe7rXL4Bpff1Z9eGD7NyynpFjJtaL81hOWOs2FBUWUlhQUC/zi4iIWC7nz51j7dq1vP/+++Y2xWCas/b5+fnx2muvMW/ePLp06cLgwYMZOnSoxr9hw4bpnacyjWYtXSKR8H8ffcy7b77J4pk+KBQyJBIJ0/sFcPZWFoejMkEFcpmEM7eySMtVMqqTpF6dR4CoqOvEREfzxJNP1ds5RERELJOv5n2OnZ0djz/+eMOd1NUWHOyMP866EIDp06dX2fXiiy/y0ksv1Xi4IAh88MEHqNVqnnrq/v2uW7dujB49mhYtWlBQUMCePXv47rvvuHLlCj/88EONc2ZlZWFra6vT+XZyciIrKwuA7OxsBEHQWTnOxcWlYq66NEW2VDp07ESv3r1ZcTqPyfeiFCUSCZ2DnTgalYlKEEAFarWaVUcT2HkhhZFTpzL9ybkkphfWi02CILBz25+EhYfj4OhIQbG4Ciki0lzIy8tj7pyn+Pzzzxv2nitqnwbGaN+GDRt4//33USgUhIaG4uTkVON4Q2gUDmR5zt+kcWP57Zel7Lh4myndXBEEgVVH4rmemI+9tYxSlUCpSuDYjSz6tHLhsb7+5N2Oh0rLvuUkpGrmgfi52hptl0qlYvPGjchkMlavXIGdnT1+fn4Eh4YQFBRs8LJ+7J073IiKYujw4QaN19diozY5kmLbjuaDOfIVDaGx5IaUf782bNjAsqVLOHnyZKMqorVy5coqSfeGiMkXX3zBnj17+Oyzz2jZsmXF9ldffVVj3ODBg/Hw8ODHH3/k9OnTdO/evda2ar+vjel9riuV7+M/zJ9PREQEo15qh6ONnJWH41hzLBE3h7IxGXlKFuy+g6u9nOn9A5nufgSJRHdObkKa5oqhdg6kvtxDexsF1yOvEnU9EmcXV35b+jO2js74+gUQGByCh6eXQdcnCALHDx8kICiYwOBQg44xFu18RkNyIOsD7fxE7RzJ2uQ86qM+5oSquYb69KSh9MZS8/AtRddM8bvQwVqBWq1m5tNP0qtnT5544gkTWdcwNGft+/HHH2nbti2LFy82WbG/RhPCWs4TTzzB4TS3iqpzq44mgASeGhREiIdthaBeT8xn5ZF4hH3P15stMpmMp+Y8w8xZjzN+wkT69OuLQqHgyKHDFfmaNSEIAieOH2fF8l85cfxYvdkpIiJiWg4ePMizzz7Lxo0b8fX1Nbc5RuHj40NAQIDGP30i+s0337B06VLef/99JkyYoPcc48aNA+D8+fM1jnNxcaGwsJCSkqpOS05OTsVTV2dnZyQSScVT2cqUbyt/GtsU8fPzY+DAgfwdmX5f9yjLedz6Vq8K3cvML72vO/WYmxgW3ppZT85h/KQpjHzoEVqEhZOZkc6f69dy5uRxvccXFhSw+Y/fOX3iGJmZGfVmp4iIiOkQBIFXXnmFtLQ0FixY0Oge6DVn7UtOTmbixIkmrRRvGY9GjGDkyJE89fQc5gu2bL+QAsBj93IeJRIJbvca5WpUZx2UhKSefuRV/mN4ennRsmUYAwYOZOnPPxMXG0twSIjO49RqNTt3bCcpIZGBg4cQF3unXuyrCZVKRU5ODtnZ2aRmZqGwsiL29h1ycrJ5eMzYJtXXR0TEVEgkEqRSKbt27arTE8bGwv/+9z9+/PFH3nrrLWbNmmXQMeVOjHYvK23CwsIQBIEbN27Qrl27iu137tyhqKioIj/ExsaGwMBAoqKiqswRFRWFm5tbkwxfrczUqVN59913KMpKRiKR3M95PJpQoXsZeUqW3mvxMZOpMPy3erFFLpfj6XU/ssfBxYM2Ee1JS01h68Y/6NqjV7U/LvNyc1i/ZiVh4a1Rq1XY2Bgf/VNXlMoSCvNyKCzMp6S4EGsbO25dv4hPQAvadunS4PaIiFg6B/fv5+EHR9K7d2+2b9+OtbVx1YobI01J+0JDQ8nOzjboGgyl0XkItra2dO7SmXVHDuNgBdP6+iMAuy6mMrKTF9P7BbDy3hPacidS8u+xzF16DolEglqtRnXrEDkOXUHPH7gutImIYO+ePTz59NNV9mVlZbF+3VpsbGyYNnMmu3buIDAo2GTnrikcNT09ncsXL5KQEE9CfDy2dnY4OTnj6OhATk4ujo4OZGfncC3yKu07dDSZTY0dXW1dTI0pyp83plYglhDaY2xYT1JSWbGsv//+m379+tWHSRbF999/z4IFC3jllVd4Wse9rDo2b94MQKdOnWoc98ADD2BlZcXmzZs1RHTjxo3I5XKGDBlSsW3YsGGsXLmS1NRUPD09gbJ76f79+3nooYeMuaxGhyAIxMfHk5iYhLOdgln9/Jje15+V93IeR3X2Zlpff95ceYWjUZkVTuTYgQVIynNn1GrkSceIte5Ub9rn5u6BXC7n0oWzdOzcrcr+a1cv8/e+3fTs05/2nbrw0/xvGP7gw7U6l5O94d9dQRBIuBPDzZgYUu/GU1iQh529I7b2DlhZ2ZCdmYZvUEuiLh8jvEMHjZZf2hgSGqpvjPZ+7dfaIa61mbOhMDaktTZYatqFpWCIjukKRzVm3tsxN3B1dWX//v3Y2BjXlqYx0tS079lnn+U///kPEyZMMFnPZPP/gjMSpVJJZkYGRSVKnh3VAaEoR8N5lNyrzgpUOJH7r6Yx9coV3Nq3p+D6ATj2LXZAkWIM6pGPQj0sw7eNiODAvr38smRJxTZBraaouIj8/HwGDhpMj549kUgkKEtKcHev3wbkgiBw5NAhTp06SadOnenWoweTpkzVmcC7acN6BEGoV3tERBobpaWlTJ8+nU8++aRZOI9Lly5l/vz5DB48mL59+2qE5FhZWREREcHp06f56aefGDFiBP7+/hQUFLB37142bNjAqFGj6NbtvhNx4sQJZs2apVG0wNXVlWeffZYFCxbg6OhIr169OH/+PIsXL2bWrFka4cFPPfUUW7Zs4ZlnnuGFF15ALpezcOFC5HI5c+fObbD3xRwolUq2bNmCra0tHbp1Z3pf1f2COZW076vp7SqcyD9OJjFp79OUjl0DMhnyo+uwzdxEGBDt9S5oVf8zBVKplLDWbTi4ZxfXLl+6b3+pkqLCQmQyORMfnYG7hyfFRUXIZFIcnaoWhzAlBfl5HN27DZVKhVdgGMGtInD18K6yQqoqLeXG5TNIZbJ6tUdEpLFx6dIlPv74Y44cOdIsnMemqH0xMTF4e3vz4IMPMnz4cAICAqqskkokEl544QWD36dG50BKJBJ69OxFSkoKd21ac/7kXxoCWj6mshMpIEFy9B3UEX/C8e+Bsgu3U26hIG8AascAk9vp4uLCU3Oe0eiRJZVKsbaxwdHRUaPAjiAI9eLEllNQUMCfmzdRUqLk6WeexdHRscbxTk7OZGcbVtpYRKQ5UFBQwJQpU7C3t29UZcvrwv79+yv+W/7/5fj7+7Nv376Kp6HfffcdmZmZSKVSQkNDeffdd5k5c6ZB53nhhRdwcHBg1apVLFq0CC8vL1566SXmzJmjMc7Dw4OVK1cyb9483n77bQRBoFu3bqxYsQI/Pz8TXLHlIpFI6NSpE1279+CPtWtZ4R7ILi3nEe63+Hhz5RUuxuWy7lgik4PXUdplCjaZm5BQpn0tUz4nptWSGs9ZW7p270VIaEuNbXKFAhsbG+wdHBs0byo5MZZj+3fQKqITEZ17kldUfSSJVCZDYW1TsTopIiICp06dYsyYMXz33Xe0bdvW3OY0CE1R+77//vuK/9+yZYvOMU3egVQoFHz/3f9QKUtYuXIlzwwNZXpfLw1REgAkEqb3D0QAdl5I4ffjiUz3XIREqOTQAQ4HlsLUf3I9QTM2uLV/3Z6KSiQSvI1YJq4PUU1PT+f4saPEREfTrl17Bg0ZgkzP01VBEEhOvktEpSX1po6u8FRLCK8Uw3YshzfeeAM7OztWrlyp9zvUVPjtN/35c8HBwfz0008GzderVy+uX79eZbtEIuGJJ54wqKJfSEgICxcuNOh8TQmFQsG3336LTCbj4P59rD0ay6OdvZhWyXksp9yJ/O1wPHsupSKTfs/0Eqg8Sg5w4wa0akVUXJbG8caEhpZT+V5lb6PAyoD8KEEQatQ9RzvN6Bh91WErz3vn5g2ir10mPTWZoaMexi+gLEWkpvPl5WSjkIKbs4PGA15d4aQadjZQBVV9dtQGfe+p9t+guWMJvwtqS22qsGZkZDBu3DgWLlxYURymOdAUtW/v3r21PrY6GuW3QSKRYGtrS1hYGO49J1Mq2Y+ur0b5SqREIiExs4jStG0oZNq5H5GQEw/OgQ1huk5MHS4qCALHjh7l5InjdOnSlcemTcfTy7DS6jduRJGbmyvmP4qIUBY6uHjxYrZt28alS5cMbs0jImJqFAoFSqWSLl26sG7dOgb17IlEkqVzrFQqZdaAQGTSMu1TJW9ErqV99bkKaS4KC/I5tOcviooKiejYlQFDH8TawCI95078TduO3VEoRKdJRCQxMZFnn32WyZMnNyvnsani7+9v8jkbpQOpUCj45ptvSExMpFu3brSd1YKWHrqbi0okEqb3C0ClFnQ4j/fY/hNM/We9hpHWhL4nsYaSmpJCZlYm8bFx3Lp1k9lPPa2z+WhNZGVmERQc3GxWWUREquP333/nrbfeIiwsjI0bNxr9XRIRMTUKhYKff/6Zjh078uXqZXwzzrVa7aisfdrOY3koKzduQK+aiz3UF6ZK3SgtLSXlbiIlJSUcPngQv8BguvYaoLcKojZ5OVlEdOpRZ3tERBozOTk5vP/++6xcuZLp06fz6aefmtskEQul0fWBLEehUBAcHMw//vEPvtiVWeMqnkQiqd55BCpWIRsxe3fvZs3qVZw5dYq4uDgmTp5Sqx+8gYGB3Lp5UyyiI9JsEQSBt956iw8//JA1a9awb98+jYR4ERFzolAoePnll8krlbEl3rPGsRKJpIrzWJmWKZ+b2jyDEaj7g9OC/Dw2rP6VE4cPcvHsSbx8/OjW+wGjnUcATx9/7iY0fDstERFLISEhgQEDBpCbm8uNGzeYP38+dna6F2dELJtvv/2WvLw8o4/Lycnhm2++MWhso1yBrMzLL7/Mjz8t5mLLV+l883/AvRxILbS3actW4fYfKXn4ozo9Ea1NKWWAkhIlN2NiCAtrhVQqJSMjg6uXLyOTy7G3t6e0tBS5XIaVtTXu7h64urpq9Gi8eOE8N25E8fQzz2JrW7eeWj6+vkilUhITEvAPMH1xIUvAkJYcDdG2oz6w1LxJc+WO1Cbv46effmLPnj0cPXq0yfcWFGmclFfhGz9xEo+81AGZuhDQrX3VUb4KefnPvyH4fkXWkUPDTGprTRQVFpKSfBcvbx8EQeBWTDQpyUnY2dlTopKgUpWiUCiwtbPH1c0DO3v7CqeztLSU/bv+Iii0Jb37D9I5f06+pt7W1C4jJKwtJ/7eRe++/U17kTrQzjPVtlMXDdGmwxQ5j4a0kjKkZVVN482F9u+CxpwTqY1KpWLKlCmMGzeOjz/+uEGLXYmYni1btrBq1SomTpzI2LFjadOmTY3jL126xObNm9m8eTNOTk689tpres/R6D/9crmcR2c9yZ8b1tG5c+3nseI6pbkJqJ0a3mmSSODs6dOkJKegUMi5e/cu7Tt0QCqRci3yKpcuXmTQ4CEUFxeRlpZGdlYWIaGhtI2I4ML5C+Tm5jB5ytQ6O49ltkhwcnIiN1eswirS/FiyZAnvvPOO6DyKWDy9e/fG3d2Dswkl9PDVP746erCQU8LXDZ7CIZeV/fzYsGYFLcLCuZuUiJWVFSEtw0hPS+XMqdPY2dvjFxhEQV4emRnpKJUldOnRG1WpiutXL+HjH0DPvg+YxB47ewcK841/Yi8i0tjJz89n+vTpyOVyPvroI9F5bALs2LGDpUuXsnTpUpYtW4aHhwcdO3YkKCgIZ2dnBEEgOzub27dvc/HiRTIzM3FycmLOnDkGFfWBJuBAAnTs0o31q3/D6uV/UfL3f2s1hxSw+fsflAROxCp1H4WBi03ikBnC9JmzUKlUXL8WiVQqpWVYq4piHYIgsGzpUkJCQ+jYqTNQ9uR1259biImOplef3oSFtTJZzmJRURHx8fFMnDzFJPOJiDQWFi9ezJw5c/j3v/9NRESEuc2pHmdrcKpFLy6Z/sqYIo2Ljl27E+cWQA8OASqjj5fc++cbuwE/znHG4z1Tm1gtVtbWvPTme+TmZBN7+xYdu3TD29ev4sdraOv2bNuwln6DhmFzrxBOclIip44dwtXNndHjJuPmUXMIrzHE3Y4mILThVl9FRCyB1NRU3nvvPTZv3kxcXFytwr8bDFH7DMbKyoq5c+cye/ZstmzZwo4dOzh+/HiVaqwODg50796dUaNGMXr0aJ294aujSTiQPTq1JSkhjiPXUpn+xm4ufz1cZ1VW3UgAAQmgEJQoYtcAELfoCRweX1bjkbUJq9AOqSsPaZXJZES0a1/VOomEESNHsv6PdbRpG4GVlRVyuZyx4ycYfW5DkMvlKBQK0tPS8G2kvdVMEX5qSBhOXbGUsBxzoS8cSN/f0ZThQwcPHmTOnDlIJBLeeecdk80rIlKf9OrehZ9+XMjktetwzb5E6v4FBh5ZvsIgIAdCOQJAz7QPuHbma/Cs3jFrE+RSZZv2vcyYEEVHJ2fadexcZbu7hxctWoVz5vgR+g0aBoC3rx8PT5ha7Vza6AsVrRwW6uHmQsLNyKr26QkdrU3bE3Ohff3athvaKqUmxNYfpkefVupKjTI0faN///5ERUWxYMECAppo2lJzxtramsmTJzN58mTUajWJiYlkZGQgkUhwc3PD917aWm2w4EcNhuPu7s6OPXv5+ssveGHusxThZNiBPV7Cdvx3YKVDLFUZFBYWmtbQWuIfEEBwSAhHDx+u93PJ5XLatG3L1StX6v1cIiKWwpkzZwCIiYnRyC8WEbFknnx6Dk8/8yzDBg3keJKCIgz88T5xFTzwryqb5YDXhTdMa2Qd6N67P9HXI8lMT6v3cwWFhpGfm9Mg5xIRsRRiYmIYOHAgc+fONbcpIvWMVColICCAjh070qFDB/z9/eu04twkHEiAiHbtOXjkGDHR0XwfHU6k69P6Cwqcmk/J1W1Qkqpzt2rtcya3s7YMHjKUs2fPkJmZWe/n6tuvP1euXCb2jliRTqR5cP78eb7++mtCQ0PNbYqIiMFIJBLmPDuXtes38twzczjpNB0VBhTTWf8WHPm3zl1ygFTdmtjQ2Nja0bVnH47+va/eK4NLpVJ69h/M/h2bxCrkIs2CnJwcHBwcWLt2rZj3KGI0TcaBBHB0dORfn37G8f1/Epa52KBjVNd31LDTclYhnZyc6NmrN/v37mmQc/n6+rJi+a+1KgMsItKYiI2NZevWrTz++OPmNkVEpFb06NmTceMncOz8FdQGHREPqqJq91rSKmRExy7k5eYQe/tmvZ8rKDSMnOwsDu35q97PJSJibhYsWMDo0aPx8vIytykijZAmEatVOdZ7QJ9eZKYmUFzsj8K6einV19ajHNXa5+BeLqR2Xoe+nC1dOVq6YtUNpVfv3vz040Ju37pFSD2vlIyfOImdO7Zz8MB+Ro560GLD+hoq31E7N0TM8zAOc7VF0f6+6coLmTdvHs8884xYdVWk0VH58zxsyGB+/nUlihZ1m7O8vYdjXlaNuZCViYrL0njt72lv9Hmry7+TyWT0GTCYo3/vIyAoxKiCcfpy/rT3W1nbMPWJ59m85hcS4+/g6x+Es0PjvNdXblFSTn20AqmNFjZEjYGGQJeuWUprD33al5eXxzfffMP+/fsb0iyRJkSTWoGEshw+Lx8/tmeEmGZCC1qFVCgUDB02jD27d6FWG/acubbI5XJ69e5DZkYmC3/4nqTExHo9n4iIOYiNjWX16tW8/vrr5jZFRKROtGjRgkvnThNXaGANAD3YHn/ZJPOYgqDQlji7uHL5/Jl6P5etnR1dew/gyP6d7N+xmVJl03B2REQq88MPPzBw4EDLrjguYtE0OQcS4D/fLuLHFRs5fC3dJPOp1j5vknlMQes2bbG2tuH8uXP1fi4PDw9mzJrF8JEjWbN6FUcaoIiPiEhDoVKpePzxx3nrrbfEEB6RRk/Pnj15ZOJjvL/2Mmm5daumWb4KaSm5kAB9Bgzm/OkTFDRAr8bwiI5MmPYUCitr/li1jOQk8QGqSNPhypUrfPXVV/znP/8xtykijRjLWGs3MWOG98d70xamT3yE/5NJ6NvKTX9RgZpQpetsuaAdvmBIWEZdwxvK23qsWb2KiHbtsLGpRU8cHVTXXgSgTZu2+Pr6sWzpEgICAggKDkYikSAIAkqlEoVCUW8J2IaEBWtjivAYU5Qz14e2nc2trYexbTtMzZdffokgCLz99tsNel4RkfpAIpHw7def8/l/HHh68Q+se749CnndnhHbHn+ZlGHLNbYlpObrPe5abJbGa12tP4xFau1EQGgb/j5wkL6DRtRbiOb9MFcFox95hMhLFzhyYA+jx0+u6EepUqkQBKFBUzv0tQupqUWJoceYwg5T0Jy00JAwWFOGxRYVFfHYY48xb948WrVqZbJ5RZofTdKBhLJ8wX998Q0/z/sHfcJcoQlVmPL28cHd3YML58/Tq3fvBjmns7Mzw0eM4M8tmykqKsLFxQWA9LQ0XN3cGD5iJKEt6ph8IyLSQERFRfH1119z9uxZo3KqREQsGalUyj8++JADW39n16UUHuriU+u5LFEx23fpwe/LFtK1V38wottzbZFIJLTt0Im7SfGsWvojVlbWODo7k5WRgVJZQkjLVvQbOBRbO+NzPkVEzMFnn31Gq1atmD17trlNEWlANmzYwIQJ1fePVyqVzJs3j//7v/8zeM4m60ACTJw8hc8/fJsDkekMivCo/UTWzkYNz7t2DY6+TUWgzZif8TZhg9aCggLi42IZNXq0yeY0hIh27Wkb0Y6ioiKyMjNRKpUEBAZy82YMf27ZTFBQEDk5ubRp25aevXo1qG0iItWRlJhIeIsQFi1ewjNPPUleXh6PPfYY77//PoGBgeY2T0TE5Lzx4tO88OaHDI7wxM669g9IVHJHwwfn5GB38FkA7O5tSm43D3x9a31+bW5HX8fT2xdrG1uURQ0TsSCRSBgy8mHUajUF+flkZabj5OyCra0dZ08d44+VywgKbUlmeiqDho/GxU0sxiViGfww/zs+/dc/OXryNO1at2L//v0sXLiQU6dOiW07mhn/+Mc/OHr0KJ988gn29poPvG7evMnrr7/O9evXRQeyIhzTWsEvq9YzedJE2gc44ulkXe0xVaqy2gbgPfvnGs+jKwQxOToajmqFxG2ZA89vB+B6QrbGLu0KZvoqvebm5vLrL0vp3rNnvVaNrC6kVSKRYGtri62tbcW+sLBWPDP3OS5euEBAoJS/Dx4gMDAQXz8/k9tlSJij9nuo/XeqTUVVfaE+talE15zCdGoTgqP9d/NztdV4bchnwU4uEN4ihHbt2/P2m28waEB/Xn31Vbp06cIrr7xitE0iIpZM+X174tNvs/NkNJ9u3sx/prSt8Zgq2mcTiMO0HwBwBGy07pfX4rLRxs/JCruDz1b5QeF15R0KW6zm1HXNXEo/Nzu00RcaGXP9ChfPnmDAsNEN+uNX494vtSEgKKTiZa9+A2nZqjXxsbcRBIGjf+9j+OixKKyM0wN91WH12lVP6AoT1vd3MkTX9KWZWGp6R31UWNU1Z2KmZuFGbe0zhO1/bePdt95kzLhxvPzC83wx73MeffRR1qxZQ3BwcK3tFWmcPPPMMyxevJiLFy/y9ddf06FDBwDWrVvHp59+ilwu57///a9RczbJIjqVeeCBBxg1YhjbL6QYd2BhPEVF1ffJqpZdL+ncnBwfj1KpLGtQXFQE216DqD3VVlMtzy/U5lpkJIFBQQwbPsKiniDZ2NjQs1cvuvfoweiHHmLN6lXs27OHuNhYsSmziNlQKBR06tyZK5cv4+ToSEREBN7e3ixcuNCivj8iIqbmm2++4dC1dNLzjMznLoozWvusLvym82m0HCiNu6cBajWO8X8Tcvr/yjRQB4IgVFv19OrFszww7CH8Aizrx6+Hlw+du/em/+Dh2NrasfmPVVw4c5J8sYeyiBnp0KEjAFs2bWLf3j2MGjWKH3/8kSFDhpjZMhFz8Prrr7NkyRIKCgqYNm0aP/30E6+99hoffPABrVu3ZtOmTTz44INGzdkkVyC1eeX1txgxbDAPdfHG3YieTtmrX8JGzyokQF5ODmx8krweH1U7RrnxKT6Ja4eLpx/THS4iEVLh7I8UJKdCwnoY9C0O93IIBUHg5wXzib1zm//+92sUCs2nb6YqnFNftGkbgbu7B1evXGHb1j+Ry+WEhrbAwdGRnr16iT/cRRoMpVLJxQsXAPjsy68ICfCnX79+ZrZKRKT+sbe3Z8LowXy34xKfTGpj1LGlG96Ae6uQNZKTQ9ilt5Gh2+krVan56V8TsOr6OJP6tMEv9teyCq+77+dfFfT8Fry9EQSBlUt/JDHuDq+//y/kiqqrTsau7DUkcrmcQSNGExMVSUJcLOtWLMEvIAgnF1eCQlrgFxBkbhNFmhF79+wGwMHBgbXrNxLRupW48tjM6dOnD1u2bOHZZ5/lm2++AWD27Nm8+eabtaoF0eRXIAG6du3KjKef57210ZSqjFgNM3QVcvNcUJXA8ferHSKXSnB1dmHn5nWsPHT2/qpcwvqy/x54lbycnArncdMfvxMUHFKlyptUKkWlUhl+DWbC08uLgYMH8+xzzzNs+Ahs7ew4dfIEkVevmNs0kWaCIAg88+RsBg4aTMydOMaOG98knEeFkzVWLjZG/1PUEMIv0jR5/38ruZouY9PpJOMONHAVsuXV95FX4zxCme4FuNpwbPsGDqz6BO7pnrzSP7uTryLk57Ny6Y/s3LIev8BgZDqqm0okUoR67n9cVyQSCWGtIxg4bBSPzX6W4BZhqFUq9u3cRlFhgbnNE2km3L51i//86598/K9/E5+cyoCBA5uE8yhqX93ZvHkzkZGRODo6IggCR44c4c6dO7Waq1msQAJ88vFHjDt9kkOOY3g4OJf8yD0a+6tbE8te8xI2T+hehbS3UZCTkwNK3aEqGq6qRMI0l6MIQSp23gunnd4vQKM6rLBuOl8fiWfnDTkjp8zgkUefJKdI01ksUKrJLyrVyP8yRVx+5bYdUDUHsqY2HzUhkUgICQ0t+xcSwtrf12BjY0uLli0rxpSWllJQUICjo2ODrE7WJl9RO+9D3xyWkrNRXzRULkhdxi9f9gs7d2xn0aJFtAgyXRErEZHGgr+XK79v2c6IwYN4cv4Bik8uMVj7Sje+AY/9UOVe1ybwXlG5nBxQFdQ4h0QiYVq/ANTEs/tCClLKdK/yfV4mCGz+50g2Xyii54PTadt7AuciUwkLdtWaC9TCfQeyNi07tPMGDWlJYWz7DAB/T3sc7azw6N4NgN27ZGzfvJ4Hx07ExtYORzsrBEGgpLgYlVqFnYVWca3Ne2yKNlrNnbr+fnhi5gykEgmvvPgCznaWHbEm0jBkZGTw7rvv8vfffzNw4EA+//xzTp06xQcffMDEiRN5//33mTRpklFzNhsHUiaTMeXRx9i7ZxfPPreS6OxM1Iln9B9YEE9JSQlW1YTOFK59ymAbJBIJ0/t5AEUaTmR5T8WVR+LZeSGFkZ28mD5qDJLIDaj6TNdYWs7MyMDBycngc1oSfv7+TJg4iU0bN6BSqVAoFCiVSkqKi1FYWeHo6Ei//v1pG9FODHMVqTPLli4lNzeX7OyqRT9ERJoLbdq0pW1EO86fO8uw0e8QdesMFGXqP7AwrkbtY/eLBp1fKpEwo18AUqhW93ZfSGFsJy8mhl4hNvMGNmRB4HCQlgVJqdVq8nJzsLc3oiqsBdGr30BOHT3Eql8WIZPJcXSwoyA/D4lEgkQiISi0Bb36PoBbPRbGE2keFBcXc+b0KaDs4byICMDYsWPJysri3Xff5YknngBgxIgRtG/fnjfeeIMPPviAY8eO8fXXXxs8Z7NxIAEuXjhPx06dAZC4BYEhDiSQv/9rrEa+V2V7Tk4OlBiXKF/mRJathlQWUw3nsV8AkkOvAAoyE0/gPP5bFAoFgiBw5tQJHn/qGaPOaUkEBQfz/IsvUVxcTHFxMVZWVhUlhW/dvMmB/fs5eeIkI0eNqpcqriLNh4mTJ3Mj6jpz5841tykiImajtLSUq1cuVxTVsGkzlKLzfxh0rOrw/2DIW1V35OSA0vCQTIN1T5JPq/gfAIESD2dKA8v6HN+JicLG1g4HJ+NaalkKEomEnv0eoFP3nqhKS1FIBRwcHbGysqKkuJhLF86xfs1vtIloT4/e/QCxN61I7bCysiIoKJgZM6bj4VGH9nUiTQpbW1sWLlxI+/btNbb7+fmxcuVKvvvuO37++WfRgdTF9i2b+HHBD1y6dAkHawUtRz4PI5/n9qpXKUmqOS9P5h6ic7sxq4+V0RbTckEd2cmLGRrhPUpUaTfJWPkeDo9+BoC3byBxCUnYOLhUO399hBcaGrJqCHK5HLlcXqUXTYuWLQlt0YIL58+zZvUqHn1sWhUnUrt1g65r1R6jr62HLppyiKqxJdLr4/NkCHU9r4ODI4888oiJrBERaXw4WCsYNHI4vr6+tAwu63kaNPRZGPqsQdpn5RWq8/6Qt/7lGo+r0hoEoAbdqxzWWp5TKT3/P6LyfcDLC5W1K0kp6cSn5SG9tyqpK7zS30OzPUhtQlb1UZsUiPJjdB1rZW1NePuuBLZozYnDB1mzcgWznnyq4jrLSUjNr53BlTDF9ZuC+tBPfbpWm9YgjVH7JBIJ/gEBDBs2zIQWiTR2NmzYgIODg859UqmUV199lb59+xo1Z7NxIL29vbG1ta3ifYdM+xYwrKdcZWqz+liZcidyZ6X2Itq5IRUUXCFv57+xHvIOwS1aEhV5hVata+7t1ViRSCR07tKFkpISTp06yZix48xtkkgjRSaT8dtvv/HNN9/Ua89UERFLxtfXl+7du1fZXlvty6sh718fxuieFGh54z0K0ruTFPY0dg6O3I27hV9wyypjmwK2dvYMHP4g61f/SkJ8LIGV+k2KiBhDXGwsX331FYMHDza3KSIWQnXOY2V69uxp1JzNxoHs06cPKpWKK1eu0K5duzrPV7j2aQNHSsAlBLJuaWwtz/2ozMoj8VorkJVIOEnxbxMJKVVz6HAcqX0H4OnlXTvjGwGZmRnY2VVtNi0iYiiBgWUrLnfu3BEdSJFmy4gRI1i2bBlFRUWmaQG1+TkDBpVrmOZaZHW6V50TKQecM05jf/I0d5R5XD1Pk3UgAVSlpRTk5WFjY3zjeBGRcpSlSv766y9zmyFiQZw6dcqgcT169DB4zmbjQCoUCn788UfGjBnDtWvX6jyfxMkHIS1X/8DJa8ryRXbOqdhUpWBOpVwQCTWsRALn7mTjYCNHLreMUJT6oiA/v0k7yCL1T8/evbGxsTHJAyMRkcbK1KlTWbt2LZ999hmffPJJ3Sd09IIMPdo38idwdYU196v61aR7oFv3yl/JBIG70Zl49fOqu/0WjEqtorRUWaX3s4iIMfzfhx9z6vhRc5shYkHMnDnToOKUkZGRBs/ZbBxIgCeeeIINGzbw/vvv88UXX9Q4Vl9Yj9eU76rE1Ocd2wWR31e8lgBcXA83NlVsU2uJaPmK44x+AUiAHTWIaWZ+CdeT8hjazhPFpiewf3673muuLabMeawNAwYOYsXyX+nXv3+NH3pjw6+gcecvGosh+Z7myvMwFkPyXysTefUq4eHhWFuLPaBqy927d1m8eDFXrlzh2rVrFBQUsHz5cnr16qUxrqSkhF9//ZVNmzaRkJCAg4MD7du354UXXqBDhw41nmPDhg28917VImXl/Pe//+Whhx4CYP78+Xz//fdVxnh4eHDkyJFaXGHTx87Ojh9++IFevXoxbtw4unTpUuN4ffdUh3HfaLwWBIH8X14E4iq2SXbOwWrGH5Tce22I7tX08PRyfC4KqYQp0jUQWOaUXovTX11ZX86frpzE3IISvWOM2W8M1tY2RHTswpWL5+k3cIjGPmPzFw25ttpg7PU2lN4aW+ugsehebbh08QKdO3c2txmNlqaoe5999lmVbaWlpcTFxbFhwwYCAgKYOnWqQXOV03S/QTqQSCT88ssvREREMG3aNJN+wQRB0HAeK7i+Fuy9IT9Z5xPYcrGsXFhHlxNZpFSx/UIK3UJc8HMtC0NSKpvuk0oPDw/kcjmJCQn4B4g9/ESM5+IFUUTryp07d9i2bRsRERH07t2bffv26Rz30UcfsWnTJp555hl69+5NZmYmixYtYtq0aWzcuJGwsLBqzzFo0CB+//33Ktv/85//cP36dQYMGFBl3y+//KIR4t5U74OmokWLFnzxxRc8//zz/P333yZ9v9SZsVR2Hssp2flvsPNEyE+pte4B3Eot4PydbMZ28y3bUFAATTi9ITA4lDNHD9D3gcFiOyuRWnHxwgUenTLZ3GY0Wpqi7o0fP77afU899VSN+6ujWTmQUOaYfPvtt4wYMYIFCxYwceJEk9yk84/vrn5nwEDs+05n0bdfsfPCt1VEtJyaxPRKfC4udgoiAu73wcr4eQze9bgKaW5at2nDnTt3RAdSpFakpqbg5dW0Q97qmx49enDs2DEA9uzZo1NIlUolf/75Jw8//DCvvfZaxfb27dszfPhwtm/fzksvvVTtOdzc3HBzc9PYlp6eTmRkJCNHjsRJR9/b9u3b69wuUj2zZs1i48aNDBkyhBUrVhAcHFznOQVBoHBTNdE8qedRTF/Hql9+ZuetVbXSvWKlmjM3s+jTyg3H8hWjLbPgUcPakDRG/AKC+Dsvl4KCfOzt9Re+EBHRRtS+utHcdM/Z2ZnJkyezePFioxzJZudAAkybNo0WLVowe/ZsfvzxR/744w9cXFz0Hlc5tKe4uJj8LW8hH/kpypIS3auP5VxfS3G3SST+vYxR1YhoOZXFNDGziFK1gFotcOFONuN7VO2LqGsV0thQP0vF1taOkuJijW3a11KbENbGjL6wHEPChbTHNJbPi7F2hbduze8rV9STNc0D7VYC1Y2RSCQ4Omo2eS+v+lZtI/oa2LRpE0qlkkmTJukfLGIQMpmMTZs28cUXX9C1a1fee+893nzzTRysa75nVKd71tbW5F89ga7Vx3IKtn1MfFwpo0ILjdY9hUxCVFIedtYyQj21VhwLCnS28aiPth0NgXZYqI2tHSXFJVTudKUvdNSQ8FRTzKEvxNeQUFJjw1oNScXQN6c+3dOFpWqhPlqFhxMVFSXm/9eS5qh7Tk5OxMVVfy/XReP8dpiA3r17c+nSJZ577jnmzp3LqlWrDPrQlJO/858IaTdQ7fsUks7rHV+6agqvjQ5FLpXoXfEsF9MyEZVSrFaDRIJUx2FNcRWypKSEuLhYcnKykcub7UdUpI6EhIRw584dc5thcdy9e7fKNicnp1o/2ZTJZMyYMYM1a9bQt2/filCeL7/8Eg8PD8aNG2f0nBs2bMDf35/evXvr3D969GjS09Nxd3dn0KBBvPbaa2KlXQOQSqW8++67zJgxg759+9KuXTsefPBBg4+vrHvCqI/hxKc1jldkXeHFEDXyFtU7j+Vo6x6ATCpBEKiqfVtmwbDlBtvdWMjMyCAnOxNBEFAq656vKNI8CQkJFbVPB6bUvqake8XFxWzZsgUPDw+jjmvWv87lcjnfffcdw4YNY/z48WzcuNEgJ7K4uBhl/FkA1EnnDD5fuSjqHdeiH8qbR1DIylTTWiGld0tXtp1PZmIPP6wVmvM0tVzI2Ng7rF29Gh8fX3r10f1FEhHRh6OjE7m5BlRKbmRYO1pj42x8O4ZiVVkxoenTp1fZ9+KLL9YYbqOPd955BwcHB1566SXUajUAQUFBLF++HG9v46opnz9/nujoaF566aUqTkdgYCCvv/46bdu2RaFQcPbsWRYvXsyxY8fYsGEDzs7Otb6G5kRAQAArVqxg4sSJzJ8/n0cffVTvMdq6l3/+sEHnMlT3HPo+S97RRRW6BxDu68CNu3mciMmkV5hmuFdTzIX8a8t6MtLSaBHWCrvKy48iIkbg5CRqX2XqS/sak+5VV7AnOzub8+fPk5GRwdtvv22Uzc3agQSwtbXl4MGD9OvXjx9++KHig1RTWE/s1v+r20mH/wcO/EfnLokEnIM7kXZTs7KSl7M1BcUqlCp1FQcy4+cx0OM/ONyr+iRDRe6GV3Gc8C02NjaNJkSxnLCwVjwwcBBRUVG0Cm9d41hDrqWxhrkaErajzd2MfKOPaUpVaSt/b4P9fUlJSUEQBLEYRSVWrlyJj4+Pxra65lUsWrSIxYsX89prr9G5c2cyMzNZsmQJTz/9NL/99hsBRuQxr1+/HqlUyoQJE6rs036q26dPHzp37syTTz7JypUref755+t0Hc2JBx54gF27djFq1Ch69+5NSEgIUL32VdG9c18ad0LfbpB6tUzkdODWoiN551yhMLNim1wmwd3RiuyCqvdw76NzSeZRGDb6/saiIuyOfUhBn3+CjU2tQlpNWVXVWCY/Nos/1vyGr38gDg6O+g+ohCF2G1thtjbnqY1umQJ959Xer0v3LP23UXVof2f9fLy5ceOGmayxXEytfY1J9zZu3Khzu7OzM6Ghobz33ns88sgjBtsLogMJlK1Erly5kqFDh3LgwAH+9a9/ERERoXNscXExRbFn6nbCI//DYeYanbv8XMsaCLt1HU/S7v+Re3ErarXAwcg0HmjjjoNNNX+yU+9T1GotpX+9AVJryLpD/rZ/YDPxv3Wz1Uz0GzCAjMwMdmz/izFjx5nbHJFGiLOzM05OTsTGxpqkYEhTwcfHxyhh00dMTAzffPMN7733Ho8//njF9r59+zJ48GB++OEHnSXEdVFYWMhff/1Fnz598POrmvOti379+uHp6cn58+drY36zpkuXLnz00Ud0796d1157jVdeeaUih6cyJtG9pDPYdZ2KY+8ndO62sZUT/vxaAKK+Hg5Aak4xN1MKmNyr6mdBDnizhuQ9a/C09Se120fYXv4SeV4ctqc+pXDAP+tmrxmwsrZmzIQprFu5HE8vLwKDQ81tkkgjpG3btmzevNncZlgcptS+xqZ7165dM2icMRie9NfECQsL49q1a/Tp04dBgwYxa9Ysbt26VWVc8paP6n6yghTy8/WvFPkOfwWA22kFSCUSWvnUHNJSumoKZMVBRnTZ6+RIioqK6m6vGZBIJAx4YCCxYhy/SB3o0KEDFy9eNLcZTZpr164hCALt27fX2O7o6EhwcDAxMTEGz7Vz507y8vKMLiIgCIJROewi93n++ec5duwYV65cISwsjP/9738UaxUvM4nuAQXnN1Faqj8ixL7tMABO38qiW6gztlYynePKnEiwKkzA7exnyLPKVl3kWTegkWqfg6MTbTt0JDEh3tymiDRSynVPEARzm9JkEXVPdCA1sLW15c033yQ6OpoWLVrQs2dPlixZglJZFvpgkqew9xD+fMWgceFv7EYhkyJAlTA8pUqt9waRv+0fZecThIrraCzY29tTkJ8v3gRFak337t05deqUuc1o0pSXi7906ZLG9qysLG7fvm1ULsj69etxcXFh2LBhBh9z+PBh0tLS6NSpk8HHiGjSqlUrVq1axc6dO9m5c2dFkTkwre6hLqbwtP7KyP6j3wGqz58sraR95TE5NgWaD3xtT5UV+BEEgdJGpn12dvYUFhSY2wyRRoqvry/W1tbcvn3b3KY0WUTdE0NYdeLk5MTHH3/MpEmTmDt3Lu+99x6vvvoq40MyTHeSe6uQXu4uGpt15SsO/vffRH4/H8dJk/H18yPqYiTKHS/yzV8x+Lna1FgevTQ5krTMHNb8uoT4uDu8+/GnQNXCA5YY+29lZYVEIqGkpARra2uTzVubViCG5E/UFUNyRwwps14Z7RwgXTTWth6G0LJlS/bs2WNuMxo1O3bsAO4L5alTp8jMzMTW1paBAwfStWtX2rVrx7fffktBQQFdunQhMzOTxYsXU1hYyMyZMyvmOnHiBLNmzdJZuCAuLo5Tp04xffr0akugjxs3jnHjxhEaGopcLufcuXMsWbKE4OBgnQUSRIyjU6dObNu2jUWLFjFy5Eh8fX15c0xrWpvwdldwbhO23WdUqbCtfd/xfn47/W/f4uDe3Qx+cg4Z2XmUrpqCUqXmm79i8NWhfZJK/5Vn3SAnI4ctG1eQnBjHk69+gLb2mTPfsSZs7ewoiKs5SsmQdhna6Lte7f3G6o2pqE0epbG26tLwpqR9LVq04MaNG4SGimHQtaGx696sWbOMvmaJRMKvv/5q8PjG++1oANq3b8/hw4eJiYnh6aefZlt2Eh+NdMPD0TSiI2x9FR5fpnecVCqla7funD59ikfGjIXdLyOXSvBztanSeLnKOQSB5W+PZ2dUIY+Mn9zo2mLY2dtTUFBgUgdSpPlw+vRpunfvbm4zGjWvvKIZLTF//nwA/P392bdvHzKZjGXLlvHTTz+xZcsWFi1ahKOjI23btmXlypV06dLFoPOsX78eQRCYOHFitWNatGjBqlWrSElJobS0FB8fHyZPnszzzz9fLw2WmyMSiYS5c+cyZ84cNm7cyHNznuSxXh7M6h+IVFcvKWMRylYhq8uFrExQcAgqlYqEuDisjn8DUK32aVsmCAK7v53FwWuFDBw5Fpms8WifrZ2duAIpUmtKS0u5ePEiXbt2NbcpjZbGrnvx8fUfAt947qhmpHwV45///CfTfviByZMnM27cOHr07U/Sxvcpjj9fu4nzkykpKTGo4WjnLl346ceFLPzhewIS8wj3ta9ovFydEykIAiuPxLPjQgqjZ7/FE8++0OiqUdrZ2RN94wZeXl4oFAoUCgUyuRyFQoH83n9lMlnFdRUWFqJSqXQWghBpfuzbt4+nnnrK3GY0aq5fv653jJOTE2+++SZvvvlmjeN69epV7Xyvvvoqr776ao3H//e/jbMoWGNEJpMxadIkevXqxfTp09n/ewbTpk1jxEMP07p1G6IXP446O7FWcxdc2qpzFVIbiURC91692bp5A57RR2jt64CnkzXT+wUgADtr0L5VR+LZdyGFgeNeZMxjTzcq7bO1tSM3O5vY2zeRyxXIFQrkMjlyhbzi/22tZBr5T1mZGTg5u4i5wCKcPn2a4OBgo/v6idynsevevn37jD7GWEQH0kBkMhmffPIJs2fPZt26dXzyySckJd3l43/9i7GvfKYhhFE/TIaiLIPmzd//NVYjdfdngUohFRIrxk2dwfHPHubAzSzUgkBbf8dqncjKzuOoTl7MDL2Lg22Zo2pIeIilhG5EtGtH9I0orkVGolQqUalKUSqVlJbe+69SiVqtRi6XI5PLKSosJKxVK6Y8+ljFHLUJWdXG2JBVU5QyNyQkR1+Zel1l6y01bMvUREZGkpeXZ/CTQBERkaoEBgZy8OBB9u/fz8aNG3l41Eh69e7NP/7vAyLa3S8gUZqXxs1Fj9UwUyWU+RSeWYVjr/thVtWlCbTv2JnSows4V1DKhlNJPDkwCIVcyox+AUgo0z4JZdpHJe3beSGFkZ28mBKRTtG9e15ihuaqXm3uj4ZoQV3v/07OLnj5+nL25AmUpWU6J5MIlJaWlv1TKlGWKpFIJCjkCiRSKUVFhYybOIWWrcJNZld9aYWxdpgilLa56B7Apk2bjG7JINK0mDVrFs899xx9+vQByj4T3bt3N2kFdsvwEhoRISEhvPXWW7z11lts3voX8z77lP977z1eevVVnn7mWaysrHAM70/uxa0GzSdzDzH43K5u7iRmFdHW35EWXmUVWSUSiU4nsrLzOL1fAIKT6T40DUmv3r3p1bt3jWPUanWFQ3nh/HlSU1MayDoRS2bTpk2MHz9efCIvIlJHJBIJQ4YMYciQIXz4r//w/Xf/Y8xDo2nTpi3/99HH9O7TB7mDB1a+7ShJumLQnDLXQIPP7R4UTsqBowxr74lCLq3Yrq190+5pX7nzOL1fAMWOhp3HklAoFIweo9kPTttxFQQBtVpd9mC1tJQNa1cjVzSdnr4itWfDhg2sXr3a3GaImJGTJ08yefLkitfvvfceX3zxhehAWgpDhw9n6PDhnDt7ln9+9CHffP0Vw0eM5OExY3jw9V3kFKmqHFOXYix5ublkqJ3p7iPBWnH/R7G2kJaLabnzKJFIUN/YBcNfq81lWjxSqRQrKyuUSiUnjh/j0cemmdskEQtg3759vPzyy+Y2Q0SkSWFra8tb77zLK6+9zto1a3hixnR8fH0YPmIkU6e9QHhYq1pFedRETuBwbG3W0NJbs5VVddo3spL2CfH7ocvTJrXHEpBIJMhkMmQyGRfOnUEmlxMQGGRus0TMTHx8PBkZGWL+YzPH09NTIw+yProZiA5kHXCwLnP+BvTpxe5dO7lx4wbbt2/nP598zPrf17Bo6TK9OR6GOpQF+fms/m0ZPaf/H/1GDSfm21Ea+8uFtFxAoWpeiLWkFBsbG53z383QrPiWrxXu4edqW+N16KL8/Sknr7h+S6nn5ebi4OCAr4GNWE1JQ1SNqw2mCNvR9WPQUkKcq0MQBI4fP87vv/9ublNERJoUFfd1awVz5zzFk4/P5MiRI2zbto3hgwby448/MvLhMRrHGOJQVqd9Vy9f4tjhQ0z79A/CwloR9fVwjf26tG9GJe2zQ42tmw0yWdVekmevVo1W8fbSzJ9vE+Si13ZttPVS+/pNXdU7Iz2d8NZtdV5jXc6jS9f06ZYhmmPsHLrmNIUd+miMVVmPHTtG3759G1XOr4jp6dOnDwsXLuTy5csVhXbWrl3L0aNHqz1GIpHw6aefGnwOy/82NCJatWpFq1atePbZZ5kwYQITx45hwaKf8K/jkrFKpeLPTeuJaN+Bfg8MQiaTYd92GPmR99sTlOd9VGblkXgNJzJ2yTOEv7C8TrZYMg6OjuTm5iIIgnjzbOYkJSVhZ2eHm5ubuU0REWnSWFlZMXjwYAYPHsyMGTMYNWoUL92IZu7zL9S5enby3SQO7N3N5MemExbsr3OMIdpXePJ3HPo03cgUe3sH8vJyzW2GiAUQFRVFRESEuc0QMTPvvfceEomEo0ePkpaWhkQi4dSpUzX2xTbWgRSTg+oBa2trNm/eTPcePejToxtffv4ZpaW1C+nJz8tj/e+rUCis6DtgYMV2/9HvEP7GbsLf2F2lYM5vz3dlVCcvdlxIYeWR+PtL10VJFBUVmeISLRJ7e3usra1JT083tykiZubSpUu0bt3a3GaIiDQrOnfuzLFjx9i3Zw+d20Vw8sSJWs9162YMf6xZxZDhI/H0ut+Uu1z3AMO1L3INKlXVlJKmgq+/P4kJ9V+2X8TyuXz5sqh9Iri6ujJv3jwOHTpEZGQkgiDw5Zdfcu3atWr/RUZGGnUO0YGsJ+RyOR98/AnHT5/lwP79dGzbhs//829ysrONmmfjujW4urrx0Njx1fZ51C6YUx7So0tIY5c8Y5Lrs1S8vLy4fu1avcR7izQejh07xoABA8xtRr1ga2+FnaO10f9s7ZtPFUIR8xEaGsrmbX/x+VdfMf3RKTw8aiTbt2426p6cknyXLRvW8eDDY2gT0U7nGK/n/jJK+wpPNt1wdg9PL9JSUsjMzDC3KSJm5ujRo6L2idpXhRdffNHkDxbEENZ6xMFaQXiLEA4e2M+5c+f49ttvGTP8AY6cOIWdnR2gv8WEr38AGelpOkOBBEHg++/+x45L6RoCCtVXZ5XcW4XUzoXUzhfQzi+4rvXax02zmIGuazEHAwcNZsvmTdy5fYuHHhmDs7NzvZzHFG06TIGuMvQNgb7ckIbIHdHOsa1Mfn4+7u7uJj+niIiIfhysFUyfOoVJ48ayadMmPv7kE2IiL/P+hx9Ve0zle4a9vQOebi7IhRKd9w5BEPjt5x/YcTHVcO2LXEPLB2Zo5Alqt/UAuHMjrcbXI4eGabyuTf5iXXMetbG1tWXA4CGsXr6Mrt170rNPX7NVn26I3H5dNESbDkN0zdzaV1BQgKOjo8nPKdK4efHFF00+p7gC2UB06dKFX3/9FRdXV86ePm3wcUEhoVyLvFLl6W2587ju9zXMfOl9PtkQWWWFsrqnsdmb3jbJNVkiXt7ePPn0HIJDQlm6+GeW/vwzSYm1a3Yt0ngJCQnh9u3b5jZDRKRZY21tzdSpU/lt9RpWr1xp8HG2dnZYWVlx48aNKvs0tO/lD4zSvoLLhrXXaox06daDmbOfJj7uDksXLWDz+nWo1WpzmyXSwISEhHDr1i1zmyHSDBAdyAamV6/eLFu6RG8uYlZWJr8uXsTenduxt3PgyqULqNVqCqP2V/Q9vHP7NpOnPsqLL7+CRCKpyAupTGUhTcwsolQtQG5SfV2eRSCVSunXvz9PzXkGVzdXIq9eNbdJIg2Mr68v169fN7cZIiIiQKtW4eTm5bL9r216x54/e5of539LUVERt2/dIjs7G7VaTU5k9doXNOOHKvPo0j5VVtPOE3R0cmLi1Gk8PG4CcXdukyWGtDY7RO0TaSjMH3PYzPjnxx8xZ84cBvfvy08//URQ2846x2VnZaFWq3n6uRfJyc5i1a+/EGiVTcmpX7F3cMCxZR8+++JL5HK5xtPX8Dd2k/DXPI0KreVCWqoWUMikWIX2qnK+KmXHTRxiowtdYRimbPXh5OREn779WLf2dwYOHlwRuqQv3NIQ9IUgGRLiqi9suDbH1CaMxxQl5fW9h4a8x6YK9blx4waff/45jzzyiEnmExERqRvOdjZsWL+eWbNmsXfnDl54633c3D10jk1MiKdL9x6MHDqII4cOsW/PboZ19ift8FIkVjY6tc/GOxzXvo+TefRXjbm0tc8mtLfG/kGdqrZ8inKzq/FaElI1W16FB7rou/wGRSKR4OPrR7uOnbhy6SIDBg0x6fz6NKahQljrGrKqS6ON1T5dumZseoupdE8QBH7//XeOHTvG559/bpI5RURqQnQgGxg3Nzf++OMPVq5cyZQpU5j42AzefO+DKiE4vn7+ZGVlIpfLcXP3wC8gkD+XfUN3fynSvxdjG9wDhUL3zc5/9Dsw+p1qbTB1k2dLxsfXFxcXV6KuX6NtNcUYRJoOBw4cYPLkybz55pu8/XbTDdUWEWlsDBw4kIsXL/Lee+8xtG93lq1ZT6cu3aqM8/XzJy0lBYlEQqcuXfhxwQ9w+Q9aOxeQceoP7EN76dQ+zz4z8Owzo0YbmpP2de7WndXLl9G734BqfyuINB2ef/55jh49yubNm8U2HiINghjCagYkEgkzZszgzJkz7N+9k9mPTSI1JVljzI3rkXj7+Fa8HtrRl8KcNI5eSaA0I46M4781tNmNlh49e3D82PEmXcZdpKx4wJNPPsny5ct55513xF6gIiIWhrOzMwsWLGDeN98zc/J4Fi/8XiNPT61WEx11HS8fHwAcHR2ZOKgDh89c5nZiGiXpt8m/VfvWIM0JV1c3fP38uXThnLlNEalntm/fzq5duzh69Ch9+/Y1tzkizQTRgTQjXl5ebNq5n4j2HRgxoBeb/vidq5cusvOvP/l7/z6GjXwQKBPV0shthPs4IEMFCGSf31zr3pLNjdAWLUlKTOBGlJgX0JT57rvv6NGjBw8++KC5TREREamBEaMfZsvuA2zdtIFHxz3EmVMnOH/2NKuW/4JUKqNDpy5AmfbJbu7F11GKTAJCcT4Zp/4Qi8MYiK+fP/v37BLfryaMIAi8+uqr/PDDD9jbV62OL9K8Wb16NX/99VeNY/766y9+/934NkdiCKuZCfVy5n9fzWPcQ6MYM2YM8+bNo2PHjjw2/hFsbW3JK1aSG3MMIfcuQW5WHL9aVFaRtbiAjGPL8RrwZI0lncGwvEJjS0/XJhRIn531xc2YaEJCQ2ndpq1Zzm8o9ZETacgx2hiSw2FsDqipy9brYteuXbz55pv1fh4REZG64e9ii3+Xdhw/epgXX3yRD958hX/+85+MGTmUNm3aIJFIyCtWkn/rBCUZdwh0syEpW0mol4qS9Fvk3zqBb8QDes+jT/t03ev8PY37EW5IDlt96KkhJMTH8eDDY83W0qM6GqLlRm0wh27VldjYWLKyshg5cqS5TRGxMHbv3s0///lPFi9eXOM4Jycn3njjDby9vRk0aJDB81vWXaUZM3jwYAYNGoSfnx/9+/fH1rasqI1arSbz9B+oS0uwk5cVAsgpLAUEss9tElchDSDy6lUi2rUXQxqbMEqlklOnTtGnTx9zmyIiImIgMpmMf/3rX8TGxjJ27Fjatm1bcZ9Wq9VknFyHUJyPl7MNabnFAAhFeeIqpAEUFhaSlBBPy1bh5jZFpB4pD1sVf9+IaPPnn3/SqVMn+vXrV+O4/v3707VrVzZu3GjU/KIDaUG4urqSnZ2tsa3g1gmU6XcQlAWgLsXFTk5GftlTMkFZSMYxMReyJkpKSrh58ybhrVub2xSReiQuLg43NzdcXV3NbYqIiIgRuLm5kZWVVWV7wa0TlKTFgKDCxU5GZl4xarUACJSkRpMTI+ZC1sTN6CiCQkKxtrY2tyki9UhkZCQdO3Y0txkiFsiFCxcYOHCgQWMHDBjAhQsXjJpfDGG1IORyOUqlZgiFzN4dVXE+qMtWGv3dbEjMKCTUs6zUeF70EdRDnjYqREVXOI12CI2+kBpTlJ42ZcuO6rgZE41cLsfOrubS7HXF2NLdtcUUJdKNncMU4Ua1eX/0fcYqf35yCouQyy0/3EhEREQTiUSCVCqltLQUufz+d97O2ROhpAAAe2s5tlYy0vNK8HSyRigpQGrnondu7bQJU4SKNkRYoyEara8d1YVzZwlvXf9pGw3VtsNYatPiSt+11OZvry8sVtdn0hjtKywuwdnRwWi7RJo+6enpeHt7GzTWy8uL9PR0o+YXVyAtiMDAQGJjYzW2SRXW2Hi3QiK3AqQ428pJzi6mVCUAoMq5S070cTNY2zjIzMyiID9f/0CRRo2rqxsZGcbd/ERERMyPRCIhICCgivYV3Y1CIlMgUZSlczjZKkjMLCo/isLEaw1saeMi+W4S+fl55jZDpJ5xdXMz+oe/SPPA1taWvDzD7gF5eXnY2NgYNb/oQFoQLVq04ObNmxrbZNb2qFVKhFIloCbYww5nOwWbTieRX1yKoFKiLrXMJ4DmRhAEIq9coU/fmuO/RRo/bm5uFBQUUFhYaG5T6h17GzmOtgqj/9nbiAEnIpaJLu2zdvFFUKkQlGVOY68wVy7H53I8OgNBUFNamGUGSxsHqSnJWFlZ0yq8jblNEalnfHx8SEpKMrcZDYKofcYRHBzMqVOnDBp7+vRpgoODjZq/eb6rFkp4eDj/+9//NLa5uPvi/NTPJB1aRk7MCQTgkSArTl9PYFtkHMN7BOOTdhtBEKpNotYO42mI0FFdGHPegoICEhMTuJuYRFJSIvn5BQiCgKBWIyCgVqtRq9W4u7szaMhQPDw8qswRHX0DtaBm0JAhprwMoOFCVs1BTr7x11abMCZ9IUXGVAaWSCS4urmRlpZGYGCg0baIiIiYj1atWnH16lWGDRtWsc25ZU86v7uH6FWvoSzMJSDQkVktStl8JJIDt0oY5nMG3/6P1zl9Qxvte7v2vc0UIYjVjRcEgfT0dC7dSCApKYmU5BRKS0vLCgYJAmpBXVE8KCKiHb369EGhUFQ5595TR+nVpx9+AQFG2WEI+u71llJhtTYVyvVhiO4bex5dYbHGaJ+buzvJKalVfl+Zq+q9iOUwaNAgFi5cyLlz5+jSpUu1486fP8+ePXt44YUXjJpfdCAtiO7du3Pr1i3u3r2Lz71GygBF6bHkx19GmZ+BulSJUFpCOxc1ai/4Y+9ZXvXzxjU9FlsP454eWApFRUXcTUoiMTGRu0mJJCUlUVRUhI+PD35+/rTv0AFHR6eKXJmK/0qlxERH89uvy+jYsRP9H3igomCAIAgcOvg3/QcMEKuTNQOys7PJyc7G19fX3KaIiIgYybBhw1i2bBkvv/yyxvacmBMUZcQjlVtTmJ0MwKhWCjafTubv46cJfuAELq0aZ+VlQRDIysriblIiiQllunf3bhJ2dnb4+vri4+tHWFgrrKysNHSvPF/02NEj/PTjQoYOG0brNver16YkJxMXF8cDIx428xWKNATRN24QZOTKkUjzYNasWaxZs4ZnnnmGt956i3HjxmFldf/BSklJCZs3b+bLL7/E3d2dmTNnGjW/6EBaEAqFgq5du3L+/HlGjRpVsV1mbY+qpBBVUVkunyAIKEtKiErMoVuwA6qSQmTWjaeBbE5ODhfPnyctLZW7d++Sm5uLt7cPvn6+hLduzcDBQ3BzczPI8fP09KR9hw4c2L+PRQsXMHDQIDp26ly2+qhWWXzvR5G6o1ar+eLzzxj98MMaRThEREQaB7179+aVV16pEkmjcHBHXVKEuqQsjFUQBNJzCsgvKCairQdyezdzmVwrYmKiuXXzJmmpqSQlJSGXyyucxT79+uLr62dwwbcJkyZz+9Ytdu/ayZnTpxkxchSeXl4cPvQ3vXrfX5kUabqkpaXx048L+eLr/5rbFBELxMnJiQULFjB37lw++ugj/v3vfxMaGoqDgwP5+fncvHkTpVKJq6srCxYswMnJyaj5xV9bFsbAgQPZtWuXhgNp5ehBmycWVLwuTL3Njl+/wCbQh6FDI/DpMx0rx6ohnJbK/r17UKvVhLVqRd9+/fHw9KxTo2MHBwcefmQMiQkJ7Nq5k7NnzpKfn0/PXr3E1ccmjlKpZOxDoyksLGD12j/MbY6IiEgtCAgIwNbWlkuXLmm0JLD3Dafzm9sqXhem3mb7x6/ywOh+tAxxQqZoPC0qioqK2LRhA3369qNr92B8ff1wdHSs05whoaE8NecZzp45w8oVvxEYFMS1q1cZNfohmm6ShQjA6VOnmDxhHE/MfpKhw4ab2xwRC6Vjx45s2bKFxYsXs2vXLq5fv16xz8/PjxEjRvD000/rTAPTh+hAWhihoaHs3Lmz2v2CIJB17QCtWwZzKfYCsWkF2Fw7iI1HsMHOUm1i4xMzNYuTGJLjoSvnsbCwkOjoaJ5/8SVsbW2NtqMm/Pz9eXz2bC5eOM/va1Zz5HAJrm6utNJqpGyKUu760JXXoC9/oqHKoWvnOOYWGv9TQ1+epPac/h76n6rre3+09/u52vL9d//DxsaGrTt2IpVKxTwQEZFGiFQqJTQ0lJSUlGrHlGtfj45tOHTxFl3DepHVANqn775saL7jlcuXadGiBX31NPU2FqlUSvcePYho146tWzYjAL+vXs3IMROxdxDbO1RHbXL9DSEhrUDjtT7tMySvUnuMp4OcF+Y+wxdffc3kqY8ab6RIs8LDw4N3332Xd999l/z8fPLy8nBwcMDevm6Ri2IVVgtDnxAWpd2hOCuJ+PR7Dp3cjuKsBIrS7jSAdXXn4oULhIWFmdx5LEcikdCpcxfs7eyRSCRs3bKlXs4jYn7UajXf/vdrvvjvf+u0gi0iImJ+DNG+nJRYUnJKUKsEZDZOjUb7BEHg3NkzdOpcfSGLumJnZ0eHjh1xcXEhKTGBSxfO19u5RMzLzh3bcXJyZtKUqeY2RaSRYW9vj7e3d52dRxAdyEZF+RNYqZUdxy5cp3WoP2HBvkit7Mi6dhBBEMxtYo1kZ2dz9Mjhem+roVKpuJuURHjr1jwz97l6PZeI+Thy6BDu7u6EhbUytykiIiL1SLn2ZRSoOR95i8mj+iKTyRqN9p06eRIrK2tCW7So1/Oo1QKXLl1iwuTJ9OzTt17PJWIeBEHgz82bGTV6tJiiI6KXpKQkfv31V1atWlXRLzQpKYk33niDfv360blzZ2bMmMHp06eNnlsMYbUw0tPTcXZ21rmvKD2WgpQYZFb2SPNTkGaryYstQWZtjzI3nSITVmLVDvPUFZJpDGq1ms0bN9Krdx+8vL3rNJc+ZDIZHTt3Jigo2CRPWWpDQ7X5MEUYjqOt5t9WO/y0NiGu2sfoslN7m5N9zZ+xymXZBUHgySdm8dU332qMEUNWTcvdu3dZvHgxV65c4dq1axQUFLB8+XJ69epVMSYvL4/ly5dz9OhRbt68SWFhIYGBgUyYMIFp06ZpVH2rjtatW+vc/vHHH/PYY49pbIuNjeXzzz/nxIkTqNVqunfvzjvvvENYWFjdLlbErBiiffYKGYWZiUgzbpCbK68X7dOmrm0pku/e5cjhQzw++8l6/8Hv4eFB27ZtCQoKRilpmPWBhmjbYYr0DkP0RnuMKfTVJBpd6T0+fGAvx48e5V//+bTO84ropqnoXkxMDFOnTiU/Px9BEPjhhx9YsWIFc+bMIT4+HkdHRyQSCadPn2b27NmsXr2a9u3bG/guiQ6kxXH9+nXatNHd/FdmbU9pQQ6lBTkUFCvJLyqhIC0OSguxdgu06Eqsh//+G7lcRp++DfNU9KGHH2HVyhW0a99efErXBLl84RxSqZQxY8eZ25QmzZ07d9i2bRsRERH07t2bffv2VRmTmJjI8uXLGTt2LLNnz8bOzo7jx4/z1VdfcfLkSRYsWKBj5qqMHj2axx9/XGObdk/P9PR0pk2bhru7O/PmzUMmk7Fw4UJmzJjBpk2bNNofiTQe1Go1UVFR1f6gKte+1NQcFHIZ6TkFuAqZqFVKbNwCLFb7SkpK2LRxA8OGD8fNrf4rxnr7+NC6TRuOHD5EzwFD6/18Ig3P/t07mDRlSr0/iG/ONBXdW7x4MUqlkn/84x94enry7bff8vLLL1NUVMTatWsrCpYdOXKEl156iZ9++onvvvvOILtBdCAtjrt37zKkmsb3Vo4etJ75PwDeHJ3Oz1+8R+zRQzzczR8bt0AUDu4NaapRnDh+jGeff6HBnDlfPz8A0lJT8fTyapBzijQMmRkZvPvKc/zj/z4UHw7UMz169ODYsWMA7NmzR6eQBgQEsG/fPo32A33uNTifP38+169fr9YxqIyHhwedO3euccySJUvIyclh/fr1eN/7AdW5c2eGDh3KwoUL+eSTT4y4OhFLIS8vD4lEUm0Z+XLtCxcEvIZf5pev/kEv5yTCg7yw94uwWO2Lib6Bo6MjHTp2arBzhoaGcuL4CVQqFTKZrMHOK1L/7Nu1nZ1bN3PyzFlzm9KkaSq6d+rUKSZPnlzR39HW1pZnn32Wt956S6Padb9+/Zg8eTJbt27Va29lxBxIC0Mul1NcXKx3nIuLC9ZpF/FwVIC6lJw7ZyhIudUAFtYOtVptcH8rU1BWTKcz+/ftbbBzitQ/58+cYvbUMQweMYrHZ882tzlNHkOKE9nZ2en8bnfo0AEoeyhmKvbs2UPfvn0rRBTA1dWVwYMHs3v3bpOdR6RhkclkqNVqVCpVjeMkEgnh4eEUJ1/Dw9EKoaSQnDvnKEy93TCGGolarW7wNIoWLcPIyckm5kZUg55XpP5QKpWsWPoT77/+IguXrxEfitczTUX3UlJSNJzY8v/XFfbaqlUrsrKyjLJLXIG0MDp16sT58+eZPn16jePSzm5GqiwgJb+E3KJSHKV5JB9dSei4/9O7KqOrvYY+tHP6DC1dbk7Cw1uzYf0fJnkSWx85jfryOgzJnTBFfqI+tHMkDZmjIFfzIUiujjl0zauxXyu3JubaJV6YPY13PviYR2c8rvMYsY2H5XD8+HEkEonBuYmbN2/m999/RxAE2rRpw+zZsxk9enTF/qKiImJjYzV65JbTunVrtm7dSnp6Ou7ulrkaJVI99vb2+Pv7c/36dSIiImocm3x4GahKuZlSQNcQBaX5aaSd3ULgyJfrRfu079N+rvVTQdxUWFlZERwSQkJ8HOFt2mrs09Yx7doGhuic9n1Zn441RI4kGJ9rqN1uQxf66gPoQnuM9hyG5GJqv2ffffYh58+eZev27Q26mi1iPJakeyUlJdjY2FS8trYu65urKz/TysoKtVptkM3lWL4X0Mzo0aMHn35ac3K0SqUi6cgKerZ04cytLA5cTePhLt4Vq5D23vVb6c1Y1Go1giA0eLhhUHAwtra2pKelifkCTYBffvqRx59+hsdmPmFuUxo1up6MOjk5VRs+WBsuXrzIb7/9xtixY/H399c7/pFHHmHgwIH4+vqSkpLC6tWree2110hNTa3ID8nOzkYQBJ2FVlxcXADIysoSHchGSo8ePTh16lSNDmRpaSnpZzcyvocvey6n4mgjJ9xXWrEKaecV2oAW60ffimp90bVrNzb/uc0s5xYxLZkZGaxZtZKDh48SHBJibnMaNfWtfc1N90QH0sLo1q0bZ8+eRa1WV7uMnnZ2M+qCLKwVUnqHubL5zF2uxOfSPlhh8CpkQxIXG4uXl3eD52OUlJRQUFCAbQOGzorUDxfPneHvA3s5cPycuU0xO/Y2cr2rt7ootim73euKbnjxxRd56aWX6mwblBUgeO6552jRogUffPCBQcd89dVXGq9HjRrFzJkz+fbbb5k6darGU1RLureJmI7u3btz6tSpKgUlKnP30C8IyiLcHKwYHOHB9gsp+Lna4GTEKmRDcufOHfz8Axr8vJmZGdjZOzT4eUVMz3df/odJk6eIziOWrX2WqnsHDx4kLS0NgMLCQiQSCTt27ODatWsa4y5fvmz03KIDaWG4u7tjZWVFeno6np6eVfaXrz5C2VKzVCqhX7gbe6+k0j7QiZxbpyhIvY19PT+J1W7zAdWHtUZFXSfcgGRiU3M3KQkHBwccHR2NPtYcIav1QXJKXr3Mqx2iWpRdpPG6JEvztS4cg10NPt+a35by0suvEOBd/5UMmzorV66sUrXNVE9g4+LimDVrFk5OTvzyyy84ONTuR6xUKmXMmDGcPn2aqKgoOnbsiLOzMxKJRGeeRvm28ieyIo2P8PBw9u6tPme9tLSU1NPrK157OlkT6mlHVFIeXW3kZN88hUfaHew8Q+pkh757v7b2Vad7arWa6Bs3eGDgoDrZUxtu375NYFDVtiZ1bcelC30hrebQPdAfbmqK9A9tHdRFotbrNoGaK0m6QnzL/06FBQVs3bCOc5eM/3EvpnNUpb60z5J1b+vWrVWK4/z+++86xxrrpIoOpIWhUqkoLCysiFXWJv38VtSF2RrbbK1kqO/1UVYX5VJ493q9O5CGIggCUdevM3nK1AY/962bNwkJtYz3QaRu7N3xF5989KG5zWgS+Pj4EBBg+lWRchG1trZm2bJldQ6pKc/HKI/EsLGxITAwkKioqsVBoqKicHNzE8NXGzF5eXkaT9y1ST6yHEGp+WDK1kqGSigTP2VuMqUFWfVpolHExcbi7ORcbW/L+uRmTAyjx3dr8POKmJbDB/fTrmMnMQXHRNSH9lmy7i1fvrxOtuhDdCAtjHPnzhESElLtUxFrF18QNPMqbBRSipUqCktU2ForsPWwHKcp+e5dJBKJWaqGyeVyhHs/LkQaN+4enuTkZOsfKGIWEhISePzxx5FKpfz6668a1eJqg1qt5s8//8Te3p5WrVpVbB82bBgrV64kNTW1IkIjKyuL/fv389BDD9XpnCLm5fDhw/Tp06fa/TZugVW22VvLiEsvBEDh4I6NW8OHi1bH9evXCK+mp3N9o1AokMvFn3eNHXdPT3Kys8xthkg1WLru9ezZs0726EO8w1gYMTExtG3bttr9zi170vaZX0k8uBhVYT55CZdQyOW09HHkRrpA11auCDLNUIXqKs/t2rmD4uJihg0fga2tZmU5U4VwRl2/TuvWbcySl1JSUqKz2lRDUJuwHVNUXTUkLEc73FSbkltZmna56lgViM7QeKm6qXmMrIWL5jldqs6hz1Yft/vl74OCg0lISDC6Ap0YxlN3duzYAcClS5eAst5SmZmZ2NraMnDgQNLT03n88cdJT0/n008/JTk5meTk5Irjg4KCKpqonzhxglmzZmnknSxZsoRbt27Ru3dvPD09SUtLY/Xq1Zw5c4YPP/xQIxrjqaeeYsuWLTzzzDO88MILyOVyFi5ciFwuZ+7cuQ31lojUAzExMTz44IPV7rfzDce59QBkVvbkJ12jODOBMH8PjsXEUIgNDm4ByOw0w+J1aV9WVhbbt20lvHUbWkZ0qqJN2vfu2lQRLY+8mfroY0YfawqKi4uRy42/19Xm2s0Vomps1VVDwk9z7mRpvM7Q0i1tbSRdRyXXMM00C7v2mk6FdvVXf4+qU5SHsAYGBZOUqB0EK9IQiLqnH9GBtDAuXLhQowMJILO2pyQvi+K0myCRIpGAh4OCxLQslD4y0s9txn7kqzU6bdnZ2Vy8cIH2HTqwdPHPjBk7jsCgIIPtFASBm9E3UCqVFBYWIAgC9lYyBEGoqLjauUsXoqKuM3JU9T8K6pOsrEyCQyxnNVak9lhZWZGWmmZuM5olr7zyisbr+fPnA+Dv78++ffuIjo4mLi4OgNdff73K8Z999hkTJkyodv7Q0FD27t3Lnj17yM3NxdbWlnbt2rFw4UKGDBmiMdbDw4OVK1cyb9483n77bQRBoFu3bqxYsQI/P7+6XqqImRAEgQsXLtCmhhU7mbU9pQU5lORlocxNBYkUK4UUF1sZqWmZ2ErPkXp2Ez49JtZ4rssXLyKTyTh39gzXbtxk2KjRNYbOalOQn8/tmzEgkVBcXKShe4Ig4OLqgouzCzKZDA8ddQzqm+LiYooKC7Gxtex2IyL6sba2ISM9rcaiiiL1g6h7+hEdSAvj2LFjvPPOOzWOsXL0wLfPo8Tv+R6ZvQeluSm0DJJxKe46semFSC/swKPLGOy9W1Y5VqVScfv2LU4eP06Hjh0ZOepBoqKus/6PdXh7e1NcXIJEIiGnqBSpVIqjkzMBgUEEh7bUqGZ65O8D3Iy+gZ29A87OzkhlMpQ28oqbXOztOyQmJpCXl4d/PeRbGUJWVjbCrZvERN+gY6dO+Pr53+t1I6uws6SkhC0b/kCtVjFx6rQGrxQrUj3Z2Vls/3MzG9f9TlJiAgMHDTK3Sc2S69ev17i/V69eesfUNHbIkCFVBLMmQkJCWLhwocHjRSyf2NhYBEGgZcuqmlWOlaMHrWf+j6yoIxra17V1AAcu3Gamuw3JR1bg2XWczvt4fn4+169d48yZ00yZ+igenp78uW0HK35ZjLOLC0qlEqlUSk5BCXK5AjcPTwKDQwlv1bJCL5RKJX+sXIabm3uZPjo6UmKrQCKRIJFIEASBQ38fJCwszGyRN9lZWSisrNi7aztSqZROXbrh4uqGIAgakUZ3bt9i764ddO7aja7d6zfUTcQ4rkdeZfP6tfyxZhUzZz8tOo9mQNQ9/YgOpIVx5coVOnbsWOMYtVpNysm1SBS2oCpBXVqCnbWMMG977mYVE+xRTOKBnwib8rmGgKWlpfHLksV4eHjSNiKCrt3KkuzDw1vj/ZQPqakp2FjbIAgCSVkFCGo1mZkZ3IyO4u/9e3h43CT8AgLJy83hwrmzPP7UMzhUqnBauRpdXl4eC3/4HltbO7Pd/MaMG8e1yEgcHR04cfwEmZkZKEtKKFGBf2AQcrmc+LhYQlu2pLiomDUrfiU4JBQbG1u8/YNx89ARWyJS7yQnxfPzt59y6vA++g8azMzZTzNs1Gi8XcWy9CIiTRFDdA90a1+olz1HpRKyC0txkWTpXIU8fOgQRw8fIrx1ax565BF87z21HzJiFEmJCSiVShRyRdn8WfkolUpSk+9y/NABzp84xOTpjyOTybh0/iyenl6MnTi5Ym7tKqwBAQH8smQJ02bMrPsbUws8vbx4+JFHSEzJpKiokJ3b/iQrKxOpRIqdgwM+vn4U5OeRlJDAgMFDOHH0CKkpydjbO6CS2dIirDUKM6V+NHf+3ruTH7/5jNzsLMZMmMTiFWvo2Lmruc0SEdGJ6EBaEKWlpWRmZupNxM2JOUFRRjxSuTWF6XGgVgFqHG3k3L4XX5935zwFKTex926Jg7WCgoICjh86SP8+venzwKCqk1rZ4+l/P9zzblEWEsDdzgt3/zZ0yE3g1NGDTJs1m0N7j9CxcxcN51EbBwcH5jw7l99Xr2L1yhWMfHB0RTx4Q+Hh4UH/AQPILiwlpHWHioI6hQUFxMXeQa1W06f/ANw9ysKMrl6+SG5OLpkZ6Rw+fIgp0x/H2cXwVhOV0ZU7YmyuiK4cQX15g/raa4COFhuZmq8FrfxGdab+lhzFR6I1Xtu6ttc8p3buCJDsrBk21qZ7AHduxfD67AlMeHQ63y9ciJMZKhiKiIg0LMnJyfj6+uodV532OdjIycxX4mKn0FiFdLBWEBcXx6VzZ3jpheexdXLRmE8ikVTp01ggyQLA1SuI8A49uXR0O7eirhDeui2Xz51i8mNVe8lVpm1EO2bMmsWe3bvJzspiwMCBDfoQVSKR0KZtBL4hZe1G+j0wqEL70lJTSEm+i62tHd6P+ILcGr+gFkRdi0SpVBJ9/TK3oqMYNabMATdXfqM2pqgPoI3OWgBaWleipYXaaOf+A8i0ciD1tfooz/X/benPzP/vl3z+zXzGPvygyT8zYj0AEVMjrotbEGlpabi6uuoNo1Q4uKMuKUKZn3mvImuZOIR62RGXXohKLSCUFpN04CcEQSAzM5NvPv8EBwcHBgwYUCvbwtu0JT8vjyuXLnDn1i169umn9xgXFxeefuZZQkJbsHrlCnJzc2t1blNRHmZkZ29P67YRtG3XHg9Pr4rt7Tp0one//gx/8CH8A4OIuVG1bLJI/ZEYH8esSY/w3Ktv8vJb/xCdRxGRZkJycjJeBlTqrqp9ZSXvW3rbcTu17OGpqiCLtLObATh+/Dgrlyxg+PDhOvsqG0K3nr24dOE8Rw//Teu2EXh46rezY6fOPDXnGeLi4tix/S+zVwMv1zhPL2/adehEi7BW2N/rVefg6ETXHr3o2bc/Ix4ZT2J8LHm5OWa1t7mxavkv/PDt16zbupMhw0eKIasijQLxU2pBnD59mg4dOugdZ+8bTuc3t9Fu7m/Y+rVDorABJChkZX/O8p6QefFXyE+5yb6/NuCtTmRor/ZGFQuojFQqpU1EO3Zs+5NOXbpV26dSG5lMRp++fWnfvgM7/tpWq3Obgx69+3Hy6CFRSE1IzO2L7Nq/nKJiHZXrgAN7d9Kle0+mzpzdwJaJiIiYk9OnTxsUwlpF++RlOmQll6FSA0gAgbQzm8jNzeXv3dsYEFhKa3+XWtsWFBxCfl4e58+epkev6tuMaOPs7MzkqVOJi40lKsqwXClzY21tQ/tO3Ti4Z4e5TWkyqFSl7Nu6kpN//1XtmFXLf+HTr/8nFv0TaVSIIawWxN69exk4cKDB48uK6TzGrc3/BJkMtbIUkHA5LgeFQk5OQRabPniFlDw1cx/uQta1g9h4BBs0d2KG5o/88EAXOnbpysnjRwkKDqmS96GPfgMG8NOPC7kZE0OLGgolmANdLUtc3dxRqwWsrGvncBuCdliO9nvuaFs1xER7W3JKnuacWmXIDUE7ZLX4+B2N19a9q35mSmM0j1G01awEVtDVntzsdAJCWiOVynALcObrn+aQFHeTrg8NJaRbW1r5OVBYkF9xTPSpAi5fOGe0/SIiIo2X0tJSDh48yDfffGPwMVaOHvj0fpRbGz8CqQxBkJCeW8KV+FyUaoHMyAtkXX8TFyslvu6hdda+Dp27cOzw3zg6ORmlfdbW1gwfMZId2/+iRYuWKBSmCxvMLiw12VzlONpZ4e3lTmlxPo52Vg0WwmpsSw6oGrKqrYV2jjU/5K6SykFVLZRohaNqt+2Q9dDUPZWqFIVLLrb2Dnj7lfUtzYyPZM2iT3Fxc2fu3CdwtLOiqLAQpbLsvc3JziYvN5cb168xZPjIGm0WEbEkRAfSAlCpVGzevJnffvuN48ePG3WsWqVEKC0BQY1MCo909Sb6bh6qolKcbOV081dwKxMOX0tjtKM9RWl3wMm/VnY6O7vwwqtv1moVUy6XM/LBB9m29U+emvMMdpUquloiMpkMK2srigoLzNZLsrFQrCriavoFkvLjyC3JIacki5uH7z9xnzr7HySnRJOZnoyTixvfffQi9g5OZGWk3Htvywo9FRcVsmDZajNdhYiISEOTlJTE119/Tbt27QgMDDTq2OLsRFCXOVFh3rYoVaWk5xUjl0rwcVLQqYMPB4+eJjanBSGyhDppX59+A+jWo1etjm3RsiX+/v7s2b2LB0dX3/TbUrCzdyA/P0//QBFSUmO5Hn2a5NQ7KJXFRN88R3ZOWbsp/+CWjBo/nZgrpwFwcHDkof6dUZUqycnJxsqqzMEVBDVubu7MenKO2a5DRKQ2iA6kBXD58mXmzJnDokWLCAsLM+pYh4B22Pq2oTitbNXI19MeH8+ywi+CICCzlmHrGcSl2GykVnZkXTuIQ4/Hal1evLYhsAAtW4bRsWMnVq9cwZRHH8OxhiI85kYikeDt40fs7Vu079TF3OZYNLtubyY6O5Iw57acTz0BQFibbkRfOwPA1YtH6Nz3AXo8MJL23fqRl5NFUWE+vbuEY11phbc2DbubI452CpzsjV/JKLYTiyaIWBbz5s3j3LlzLF++3OhjHQM7IbUqK0AiBTq0uF+lWRAE3HyciPRwR1mqQmrlUCftk0gkBqdt6GLkg6P59ZelHNi3j4GDB5ulvYehePn4kJaaQmFBAeJPxOoRBIGvvn+K7l1GUlCQy+XIwwT4hVc4kAl3Yoi/Hc2w0WN59tW3adGqDUkJcbg5O+Dp7VOR52hvI96XDUXUPstCvDtYANevX2fAgAFMmjTJ6GOtHD1o+8SCitdqtZq7F/fg0Hogysw4Mk7+zs2LCbQO8Udm40RxVgJWGbFYuxsWzmNqHhg0CJlcztLFP9Onbz969OxpsWLaslU4cXduiw5kNagFNWmFKWQUpZJSkMSEsFlEZV0hwCGYqa9+jp29U8Xf1i3gfkEcZzcPnPHQcB5FRESaH9evX+e1114jONh4PSrPhyxHrVaTFbkfl7aDKU6PJfbQbyRm5PNQoC8yK7lZtc/GxoYZsx5n/bp1LF+2jOEjRuDnX7vV0PrGwcERdw9PUlPu4uplnh7Olk5RSQHJ6bGo1WqsFDa4+/uSnHKb7l1G8P2GXRq/afw97kdbBQSFiA9KRZoMogNpBNplkLWpbVlkT09PIiMjSU1NrXWluHJyoo+RfmQptrZ2lKREI7Oy5XZCCoN7dkAikSC1sqMk5ghuvi01bnL1kU+hC4lEQv8BA2jVqhVbNm8iKTGBwUOH4eTk1CDnB905j7pwdHYmIz1N5z7t3JD6EAVjy5IDWLloOmU68zxOJWq8Pr9yvcZrTyvN/pe+rau2lcnpYceKtf8mLz8bX+9QZk7/hK4jJ9GVWQCEBWu2P9H11LC8fHlDIpYyFxGpG7p0sC7ad+TIER555BG91cf1kRN9jIQDPyORW1OUEs3t5DwCvD2wuWebLu1rKN0DsLe3Z8asWVy8cIFVK1cwZOgwOnXuXOfrNgZ92leua3JrOxISk+vNgdTOedSndbrqAWijL+cxIz5b47Vq180qY6SuWg81tV77DAjm6J4tLP/uX3j6+PPQ+CnMnPMCYa0jgHllY7R0zdh6ESIijQXxk20BDBo0iIcffpgePXpw+/btWs9T3mRZEASSj65E4ejB7dR8HIVs1KnXyAWsXXwpyIumKD0WWwOLCtQH3j4+zHpiNkcOHWLxT4voP+ABevaqXY5JfaFWqbCqQ9hSU6SgJJ9d19Zxce8Zhg2cTv/e45FIJDh19jG3aSIiIo2Mzz77jOHDh+Pk5MQHH3xQ63l0aV/UzVgCnSXk3jkPWIb2SaVSOnfpgo+PD/v37eXkieNMmDgJLz29nxsatVqN3IQFf5oCMdHn+fXX1aTeTeC9r38luFUEbQLFVlMizRfRgbQAJBIJ3bp14+jRo3WaJyf6GCU5KVg5eaHMSUalLORKZCqt/N0rxhRnJQEgs2741R9trK2tGTJsGF27d2fVit+wsrKiU+fOFhPS6uPrT25ODonxcfgF3C/wIAgCRYUF2NhadiEgU1AoFHIq9m9yi7JwsHbiXPxRcooyeXTC27QNtyyHX0REpHHh5+eHv78/3nV0oLS1r7Agj1t37vDAyPvpB5akfT6+vjw2fQaXLl5g7e9rmDZjJm5ubvoPbCDCwtty/NB+2rTTbK1SqlQiCAKKZlBYLiH9FjF7/6a0tARXNx/WrvqM1h178K+FG7B1sNz6DSIiDYXoQFoIS5Ys4b333qv18SqViqTDy0Bug0QiRWptj8TKiXzf1ox66SUcHO4XGMgrVlIClFQKRdIObfFz03SOtPebMizDxcWFceMn8Ne2rZw5fYo2bSMIDw/Hw9OzVs6kqcKSrG1sCAgMIiM9DUc3b9RqNTFRkVw4c5L83CyCgkMZOmo09vYOBpU71w7b0Q7rzC3Ufq0/hFU7bEe7jYd2uCqAOlMzrFU7ZDXgmZFk56Vz8MxGTl3dS2ur3ngEBnA7PYHU0hRy89PJt8/GZ8D9p/janxftaxPzPkREGif6UjfqQlxcHBcvXmT79u21nkOX9sWnldLlkefoNHNmjcfqCunUXlWqT+3r0LETeXn5/PrLUoKCgmjdpg0tWobprFJeH+G21elWUGhLdm3bhEqlQiaTUViQz/nTJ7geeRkEgc7de9GpWy+D9FlXi46q2qcntNYALSzILdZ4XZStqXPa6RyyFi5V5vAe24ar546zecUCkuNvM2Tkg9jY2HHp/E5KlSVcOXOEdsFlOaKguwBOYwlZFdM5ROpK4/ikNwPu3LlDmzZtan18+rktFKXHYe1WtlJWJFhx8uR5XIIGaDiPloqfvz9PzXmGO7dvc/36Ndb+vobi4mJcnF2wtbOlQ8eOtI1o16D5IgAhLcLYu3Mbp0+dJic7E1d3D3oPGEyrsBacOnaYpQvnM+mxmTi4ejWoXfVFljqb43u+58KNI/SIGMqbM7/Hc1CHiv2H9/7BxdMHCG/fzYxWioiINAXu3LlDy5Ytkctr/1OksvYJgkBqPpy8EMmIdkNNaGn90advXzp36ULU9WtEXr3Kju3bsbe3x9rKGh8/X7p27YaPr2+D2iSVSgkKacnqZT9hbW1Nbk424W3bM/GxxwHYtXUTN65dZfyjs+r0t7MUBEHg6q1TLHz+/8jPy2HMtLn0HfYI7VuUOYr5eXl8+cm7lCqLcXZx1TObiEjzoPF/85sIVlZWFBcX6x9YCZVKRcrx1bj3mELy8TUgkXI7NpHraWriU3MI8bShp1MaarW6omS0JSORSAgJDSUkNJSRox4kLy+PnOxssrIyOXP6DMePHWPkqAcJDApqMJvCWrfBLzCQpLtpODk7V4StyuVy+gwYxOkTx5pErkiBUMAx5QlulMbQ324s7zz+Iw52VfM7+g+dRP+hkzSqqoqIiIjUhtroHlTVvhIVREbe4nqqilK1mjZBXnhknUOtntUotM/W1pZOnbvQqXMX1Go16enpKEtKuHnzJmt/X0PLsDC69RmIbQP2Tx7x8DhysrMoLVXi4uqu4Sh26taDowf3NYr3Vh8x8Zf489BS1CoVE198jR4DRiLVelBt7+DAx19+L0bSiIhUQnQgLYCSkhJu3bpFy5YtjTou/dwW7h5dQWbcNU5fvcXVhDwUEjXtgtzo19UJOyc31MpUcmJO4NKqT41zJaTma7z29zR/noiDgwMODg74+fvTNqId1yKvsmnjBlq3acOQocMa7MmnnZ09Xj5aITf3Qn+sbR3IL1JSIjE+zOtanGZVOO1Kc7oqzyWnaDZ41g7TqVKFVbuqHGA7vIXGa+fBLvz22Vzadx7AR+O/I7CtZoEJ7fBUXYghqyIizQNThrpdu3atVpE35dp359p5jp26zq3UIgJcFPQIdsPfzR6FvQvKrPgq2qcdtqete2B+7ZNKpRXV2P38/eneowd/HzzAr0t+Yvio0bRsFd5gdri46s7LtHdwxN7BEalUqjNEVR/6tE8bXSGs2iGr2ukc2trYqodmRVn/B8PZ8scq1q78ltff/zfDHxqLn4dxuY2NJVzVEExZXVmkedB0Pv2NmKSkJDw8PHTmPVSHSqUi+fgacgpK2L1uEw5WAkMi3PFytEIilSKRSSktKLtJKxzc9cxm+UgkEtpGtCMktAVbt2xmzapVjBo9Gg8PD/0H1yMCAnJ5473Jxt6KZMm3bzL0oVk8MGKquc0RERFpRty+fdvoB6fl2hdzN5dDB/6ko78dU3v7YauQwr2cvKakfTY2NowYOYqA0NZs3byB5OS79OjVB4UZI18EQUCuaLw/H1UqFb8ums/a35awaNVmQlqEmdskEZFGR+O9AzQhkpOTja5Cl35uC9mZGWw7n0ZLdysGDRmKY0AEgiCgzLmLd+9p2HqG1I/BZsTW1pYJkyZz+tQpfvt1GWGtWtGnbz+zOJKFBfkUFxXh4OhEfpG6wc9fF4qLCvhr/Y+cPrKdibPeomvvEeY2SUREpJmRnJxMRESEUcekn9tC5M0EjkVnM6qDBy079cPBv22T1z7/wEAem/kEB/ftYemiBXTv2ZsOnbtgZYaKqKnJdysKyTQ2bkdf44dP38Xezpqf12zBL6DhUmJERJoSogNpAcjlckpK9FfxLKf8CeyVhDz8Xa3o3tKFwqSr2Pu1QSqVIrWyI+vaQWw8gi2mJYYpkclk9Ordm46dOnHmniMZEhJC23btaNGiJdAweRmxt28SEBRyr7BP43Egr18+yerF/6Rlm668+/laHJ3EogAiIiINj1wuR6k0PASyXPuO38hgZCcfvBxkFCRewc63dbPQPidnZx4ZP5Hku0mcPHaUk8eP0rFLV1q0DMPH16/Brjn2Vgwdu/VskHOZitJSJWsWf8uuTauZMfctHn9ydpPI4RQRMReiA2kE2vHgpipvHhERwe3bt8nMzMTVVf+P+fRzWygtzEEqk5Gdl4uABHVxAZlX92Ll6Km3YbKucuD6ymTrKldtbmxtbenQoy/hHbtx5dIFjhw7xeYt2+jVtx8urm4EBZc5d7pKtevDkLYc8bG3CQwO1X28jvdTX46j9jG68kL0te2ogvv9sGilspid+5Zx4dpB5rz9GR17PmCQXdr5jaZC+++i7zOm/bltSvknIiKWSn3mQXXr1o0///yT1157zaDx5donkcnIzCnAy9HJKO3TxpD2EKbQPlPfu7x9fHlk/ETSUlO4fPECf/25GWdnFyLatcfb1xd3D89a6Z4hKEtKSE25i381K3eG6JgpjtFGOyeycqG3xNibfPzCHNw9PNm6/yhe3j61+ruKmiMich/x8YsFYGNjwwMPPMDu3bv1ji1/AiuRyekW5kVOoZI7qfmABGVuKmq1muKsJEoLciyiYXJDYG1tTdfuPZn06DRGPvQIt2/e5PiRQ/y8YD7nz55GEIR6OW/q3SS8fPzqZW5To1areO+fozl1dif/WbylwnkUERERMRejRo1iz549Bq1CVta+oZ0COBGdjlKpojlrn4enF4OGDmf2nLl4eXtzI+o6639fze8rl5Oaklwv50xPSymrytpIqo+fP36At2eNYOTDY/lx+e94efuY2yQRkSaB+DjFQhgyZAgHDx5kypQpNY5LP7+V0vwMkMpJSk0nt6AYpVKJROEM6lLc2w/Dq9vYBrLa8ght0ZLQFmVFGVKS77Jr+zYSk5J5YMhwk4b3lCqVFBUVYmVdtcqpJZGSGoeToxv5hTkATBrzGk4ujb+wRHPG3kZRqyq3BRYYRSDSvPH29iYoKIgLFy7QvXv3GsdW1r7o2wkolSpKS5VY2ds3e+2TSqU8MLis76Varebq5YtsWrea0WMm4B9o2hy/3JxsrG0sW/eUyhLib93BL6gl6cmJAMx+9sUmGdbcnBC1z7IQHUgL4ebNm/j56V/NsnbxRVCpQKXiemIufVu5Ee5rj6AsAiRYu1RtOGxIqG2VcEqtEE5LDGGtjvLQHXtnd0aPm8LqFb8hPXSYzt17mewcfx88iLt3EGqpDTn5ylqFeeoLYTXkmLvRGZoD3O1Qq9XsPvAbIYER/Lz83YpdU55+h75jJpkkZFVs0yEi0jwxZbn/oqIiEhMT8fHRvypUrn3KEiVRd/OY3t8fG4UMQVlcsd8QWyujK1TSFNqnK03EmP11QSqV0r5jZ+TWdmz/cyMTH52Jq1tZOw5DUjNqQllSwqljhxgw+H7RNX16YUg6h3Z7KkNaWt29rLnC6hTsQtyta8TFRBJ15QxH92wEQC5XsGT9PpwdbGu0E8QQVRERYxC/LRbAjh07WL9+PadOndI71rllT7r+Yx8AxxcsoL13ES6yfGzdg/DpP0t8wqaFtY0NQ0c9zKa1K0zmQAqCwIXTx5k042nuJsaTnBhH24jWeHgaV0m3vhAENbv3LwdAJpczflZZftGwsbPMaZaIiIhIBYIg8PTTTzNy5EgCAgL0ji/XvoSEBPwy3sWnU7ioezUQGBxK23YduHzhLAMGDzPJnLdv3sDa2hYPL29uXLtCcXExYeFtsLE1vAVZfXLnxhWWz/8QgFnPvsb1qxd58Z1/4h+ku1aBiIhI7REdSAvg3XffZfHixQaJaGU8HOTcjr6Oe/tWFGcmUJR2p0mWL68LxUVFHNq3i4CgEJPNWVpaSkF+LhtX/4KLmzsubh5sXX+O9p260b1Pf5Odp7bIZHLeeWUZl64e5q/dixn80GMorKz1HygiIiLSQFy4cIHDhw9z9epVo45zlBSQnZFKqXUf8pOuUZh2GztP0UHQJu7OLSKvXGLoyIdMNmepspTo61dYuTQNbx8/ZHI5504eY/hD4/Dx8zfZeWpLv+ETcPP0ZfPK+SQmxPLZD7+Z2yQRkSaL6ECamTt37pCYmMioUaOMOk4QBAKtsjgYm0xbNyW2nqEGly83pDqbvhBFXSE4xoZ/1GYOY0N/Lp47g5OjPaPHTqgo2W1IGE9OfvXvUXFRIe6e3kyY9hTWNrZIJBLycnPYvGYZgWHtsbWzNyhsRxs/N/1PcfWGuaYXAFBwN5VLFw8yfsazBARo5jzqC1ltqPBUSwiLNmU4noiIiOFs3ryZSZMmYWdn+OqVIAjkxxwhNMiPqBvRhChSSDu7hcARL+vUPe3vctTdHL3nqI32WQKVdV2lUnFw724GDR1JaMswg+eoSfcAsnIL6D9kJN1798P6Xv7/0SNHOXr4MMMemgAYloqhjbeXg9HHVEfCnShSk+L49ocF+HuatpiSWAlcROQ+YhVWM+Pq6kppaSlJSUlGHZedEIXs5h7iY66SV1BISW5axSqkSBn5+XmcO3OSAYOHmrTfU2lpKXK5Ahtbu4ofLQ6OTnh4+ZCabNzfsb44eWUPcck3mPbM6+Y2RURERKQKAQEBREZGGnVMTuINko6vw7ngFtcjr4BUTn7cRQrTbtePkY2US+fP4ujkTMvw1iadt1RZikKuqHAeAUJatiYt5S5qtfl7IRcXFbBuyZcEtmhDm3YdzG2OiEiTRnQgzYyTkxPdu3fnwoULBh8jCAJ31v8DOSV4OkhJTIhHVZSLoFaRde1gvbWtaExkpKezdcM6WrVui7OL/t6axlBcVIiVddWQ0JatI7h45oRFvP+9O4zE2z1IDF0VERGxSEaNGsXJkycNHi8IArGbPwJlPn72SuJu30QqV6BSFpN2dotF3HctgauXLnDq+BG69+pj8txQXdpn7+CIi5s7168Y/humvrCxtWfg6Edp3dF0BfNERER0IzqQFkBKSgq+vlUryFVHdmIUqvx0cgqVZBUoUQhKirKSKUq7Q0FyWRPl5oxarWbn1k20bNWaQcNGmnz+nOwsnJyrOqUtW7dDENTE37lp8nMaQ3FJIb9tm0dyeizXLp0xqy0iIiIiujBW93KSbqDMKovwiE0rwEoOhXdjENSl5N4+I0bfAMl3kzh8cB/jp0wzefsOgJzsTFxc3TS2SSQSevYbzIXTx8zuxF85e5hDO9axafm3FrEiKiLSlBEDuOuAKXKlBEEgPz/fqGMSd3wFwPHoTNoHOOLragPKfEry0kAqq1UT5eg7mRqvtfPiDMlXM0V+gCnmiLtzC4lEQteevXU+gdXOcdGVE6l9/ZVzQ1KTE3Hz8KpyjEQiQaUqRaGw0pvvCPpzRQzKJXHXzB+yCnWhND+XjAVlJc5dnRxq1aZDRKScEydOsGjRIi5evIhSqcTf35/HH3+cqVOnVnvMunXr2Lt3L9ev/z97dx0dxdUGcPi3cRcCISRA0AR3d9fi7hR3Cl+BtlSgUIEWSkvRUpzi7i7FgrsGDR53z3x/pFnY7CbZhCi8zzk9p5m5M3N3Z9m779z33nsXX19fnJycqFevHiNGjCBXLs0foO7uutPspkyZQo8ePdL1tYj3l15jhFPb7r08/CcA4VGxnHsQQKdq+VCp4ogNDybOyJjoUH+tSeQSj3FO3I698AvTuk5a2r7s4vIFD6rWqE3uPNrtE6Tc9iXX7sXFxeHz5hUmFvZaYyVjY2MxMtL/fUrctqW0pJWu9tTETnMtymKu9jy8GkFcXCxm5hZYmZukugc2teNb9ZnHQcZN5lzS9iVPPslZzM/Pjzdv3lCxYkW9ykdERBDx+j4A4ZGx2Du9bRBMnctgm684xlYf90LxkZGR2NjZpeu4xwSxsbE89rxLk9adtPYpikJwUCC5HVNe0ywjWVhaU7F6U8wtrCleUsaBiLTbunUrkydPpkuXLvTv3x9jY2MePnxIdHTyDzf++OMPqlevzvjx48mbNy+enp7MmzePI0eOsG3bNmxsbDTKt2rVin79+mlsK1CgQLq/HpF9nD17loYNG+pVNjIykjCva/H/HxOHkaEKS9P4ny9xJjbYFSxJqNc1rF0rfNRLekRGRGr1EKaXF16PsbK2wcrGVmtfcGAAefLmy/L3vnHrjvz89Vj+WLE9y+sicjZp+1ImAWQWO336NOXKldP7y+7RureTopQraMNZT3+c7c0wMTIg7OE5jAwgwvcp5rldM6rK2Z6/n2+GNB6REeEc3rOVXA55sHfIrbU/IjwMYyNjjIyz/ol1aEggNeq3zepqiBzs5cuXTJkyhXHjxjF48GD19po1a6Z47LZt23BwePsgq1q1ahQrVow+ffqwfft2+vTpo1E+d+7cVKhQId3qLrK/M2fO0Lq1fktMPNkyWf3/tuZG5LE25eKjAKoVtYeQl0T4WBIXE/VRt32KomRY2/fsyUP+PbyHmvWb6dwfGhKEpbV1ul83tXy9X+GQJy/FSpTO6qqIHEzaPv1IAJmOEqfL6JPqs2zZMvr376/X+cPCwgh/8XbNrEJ5LPDyDefYLR+alXOEuCiC3niRW2VC7Dt10SctIyIwQuNvp1zpO/21LrpSORLXNbUpJa9evuDSubN07N47yTJpWcYjOCiA4wd2Y++Qmxp1G2uVt7E0xggjjI3AytxQZ+9n4nOmlFp6xyswxXpir5nGY2Yb/3e+goV5+dIzy9JVMyPtKz2WkhFJ27RpE4BWg6ePdxvQBGXLxveGv3r16v0qJrKd1LZ9Pj4+HDlyhGXLlqV47sjISEIeXVD/rVKpqFfCga0XXpLHxpTCeSyIeONFnMqAyFS2fX7PtL9jnco7p1ind6XHUI33pSgKZ/49hrGJMa6Fi6TruR/cu8X5U8eo27gV+V21z21jaYyluTFKTFia25uUUlh1DefIlV+7J9QuV26iIiPxfvUCtwJ2aapLepM2KeeRtk8/MolOFlIUhfPnz1O/fn29yj9YMUzjb5VKRYVCtjz2DiM6Jn7AuCo6AkPLjzOF1dfHm03r/qF67XrkddJ/cobk+Pm84cjebezatJp8+QtQs35TDI10NwjR0dGoDAyyfCIBgLJV6nHvxvmsrobIhl69esWzZ880/gsK0l4f7/z58xQtWpQDBw7QvHlzSpYsSb169fj111+Jikr5IUxiZ8+eBaB48eJa+7Zv3065cuUoW7YsXbp0Yc+ePal/YSLHuHLlCmXKlNFK59LlydZvtLaZmxhQwtkKz1f/jaM0UGFVtOZH2/adOfUv927fonnrdunWA3nj6iX2bV/P6WMHaNK6o87gMUFMCml9mcXExJQKVWtx/bL+s/uKj4e0felLHo1kofPnz2NmZkbRokVTLBsXF0dsRPzTUu+gSDwe+BMbq+AfFk2ZAjYYG8U/C1BCfYn0fYJZ7kIZWfVsJzwsjJ1bN1OjVh1Klq+cLueMDx6341aqHBWr1cEul0OSjXOAvx8nDu+jbIXKGBoapsv130e+gkV59ugucXFxGTIWVGQdC1OjNPXwWvw3ZqxXr15a+0aNGsXo0aM1tr1584Y3b94wffp0xo4dS7FixTh79iyLFy/m5cuXzJo1S+9rBwQEMH36dAoVKkSrVq009rVp04b69euTL18+3rx5w9q1axk3bhze3t5aY0PEh2HLli20bNlSr7KmDoUIeRgfEFx9EsgTn3BCImMwVKmo5fbfeL+4CMJf3iPK7ymmDh9XCqvnvbtcuXiBjt37YGNrly7nvHbpPFcvnqNKnabkyp0XcwsLneUUReHBvTvcvHaZ9t2SzvrJTIWKueF592ZWV0NkAGn7shcJILPQgQMHaN++vV5PDIM8z2BobEpcOJx7EICjjSkWJoa45bPCxOidAMHQgLjwgIyrdDbl4+NNZGQkkVGRHDmwl+ioKCytrLC2sSWvUz4cnfKlGEj5+/rw4rkXVtY22Di4cO2SB8VKlKZc5aTXlAoLDeHU0f2EBHhTtmJlylWqlt4vLU1MTc0JDwslOjpKY9FnIdasWYOTk+ZET7p6ghJmiJ49e7Z6rFr16tWJiIhg6dKljBkzBlfXlH+sh4eHM3LkSAIDA1m9ejUmJpozQf76668af7do0YI+ffowZ84cunXrhpmZfH4/NAcOHGDHjh16lbV1LY//9X0EBfhx6XEgddxzYWRoQOE8mkFNtN/jNM1AntN53r9LPmcXrl+5RFhoKCqVCisbG+zs7HEpUBBrHZPevEtRFJ48ekBYSAh5nZ2xsbHD49RxuvUdBEZJv5+PPO9y/ZIHJkbQuGWbdF9vOa1MzczxefNhpQqK9CFtX/qSADIdpXZ684CAAPLmzZtiubi4ON6c2wCoeO4XgW9IFM3K5cHYMFFApDIEU0t8H1whyqG0OjANjUg0nkDHGMCEsXPvIytz/fM5u+BeshQAuR0dMTExJSQ4GD9fH25cu0xoSAj5CxTEIY8jFhaWBAb4Y2tnj529PaERMcTFxnJk/24KFS2O591b+PgGEBsTQ5Ua9bSupSgK/q+f4OP9hscP7uGQ25FmLVum2FAnltJ4Eedc2k99b1x7qXkOVzudx0ZGxi/4PGFYP6b+Ok9j0p/EU7mnh6yY6j6jPm9pGcuckzg5OZE/f/4Uy9nZ2QFQp04dje316tVj6dKl3Lx5M8VGNCIiguHDh3Pr1i3+/vtvSpQokeJ1DQwMaNu2LRcuXODevXuUK1cuxWNE1kpL25cnT54Uy8XFxfHaYwMqlYrzDwMolteS4k5W2gUNjIiNiSUIawyTGV/4yk9z6ZC0tHvp8b2T0lIPqVG+YmXu3LqJgbEZuRxyExcXR3BwEI8eevLvscOYm1vgnL8A9rni03tDgoMoWKgwMTGxmFnZcfHsKfx8fXDI48ilc6cxMjKiYKGi2NjaaY3bj4wI583zBwT4+XL/7i1q1m1IHueiGBkbq8smtxRIgpSWuUrc9iVeZgzAwtpU57ER4eF4v3rJD999zeSp05O9Tmrpc+8/pGU7PrS2UNq+9JVzP9kfgLCwML3SC4M8zxAV9IaYqAjOPfCnllsu7eARQImF8GCivS4SW7weRrnSfyHh7MrIyIgGjZsC2gEzQEhIMM+9nuLn68Prly+ws8/F08cPuXs7nIDAYAL8/fikYzdcCriiKAr3PR9jbWOLpZXmzHK3r13i+uVz2Fhb4FqkGFVq1MG1SLFsN2X49QsnMDE15/SJI/j5+uicNVaI5Li5uXHlypUk96f03RUZGcmIESO4cuUKixcvplKlSnpfO2ERcEm//vBER0cTFRWlV6p/kOcZIgNe4OPjg5dvON1quOguGBeLEu5HxK29WJb9JJ1rnL3lc3Yhn7OLznZPURS837zm1Yvn+Pv5oShxWFhYcu70SUxMzXj44CE2dnZ07N4XI2NjIiMj8H79inwumssIxERHc3T/DrxfvaBosSLkyetEu849sXfIrTNAzEpnjh3gwb1beD26m+4BpPg4SNunHwkgs8j+/fvZsmULp06dSrZcQu+jojLkjY8/YVGxWqk7GpQYlNhoVB9hKk9yrKyscS+pe2pv/6AwwsNC1T2IKpUKJ2ftp1TPvR5z4ewJWrTrRiFXl2wx1jEpBioD/H1ekSevE0WK616sVojkNG3alA0bNnD8+HHatn27JMzx48dRqVTqmeV0iYqKYsSIEVy4cIGFCxdSrZr+qd1xcXHs3LkTS0tLnZMOiJxt4MCBNGnSRGtR7cQSeh9jI8K4+SyIEs5WmBon9aNKgbgYDG3TZ/K0D4VKpcIxrxOOeTXT9qrViu9ZefXGD2Pjt0tPmZqakb9gIY2y0dFRXDxzAiUujnbd+5Mvb8asM5leoqPjM6wmfTM1i2sicipp+/QjAWQWmTlzJnPnzk12Ap24uDieH1lE2OtHKEo0d575U8LZCkODJHq7jMyw7/AL0dauRAD890QycXqhs7251qGJl4xI/DQzK1IUM4uRkZFW+um7aThBgQHcunaZ61cu0qxlK4oW0e7ZTY+nsPqcw7W4Zk+irunNAfK5uqIyMOCL737AxlJ3qo/Qz4eWxqOvevXqUa9ePb7//nv8/f0pXrw4Z8+eZeXKlXTv3h0Xl/jeoD59+nDu3Dnu3r2rPnbMmDGcPHmSkSNHYmFhofE0N1euXBQsGP9v6O+//+bRo0fUqFGDPHny4OPjw9q1a7l48SLffvstpqby2f2QPHnyhL179+Ll5ZVsudjYWJ7snkm49yOiI8PwfB1Kp2pJLa+hwvaTaZgVrExoRLRG25W43XJ30fyef+4TlqbX8aFwctQMBt8d3qIoCv5vnnLlwlliomNo0uIT7HQE/fqkrL4vXemqSaXBOuRx4ukjT3p064LVO+mj6bF0ij7pqSmlJ+fklNaPhbR9+pFPchYIDQ3l3LlzbN++PdlyAfdO4X1pG8REcvt5MI+8w2hX2RmIDyBVxma49f6dAHPNdJNoHaksIm1evXjO/p1bcC9VhvZde5Mn0ZPc7ComOopKtRrzSYfOWV0VkYP9/vvvzJ07lyVLluDv70++fPn47LPPGDRoULLHHT16FIB58+Yxb948jX0dOnTg559/BqBw4cIcPnyYQ4cOERwcjLm5OaVLl2bBggU0atQoY16UyDIHDhygWbNmyU4OoSgKz48tJuDWIWKiY9h37TXOduZYmxkDKlCpUBmZYNd+JiZ5imVe5T8icXFxnDt1nKePH1KyTHmKlyyNmZn2g+fsyMzcnGm/L8XKSsdYWSH0JG1fyiSAzALXr1+nRIkSyX7BxcXF8fTQnxATyYPXYZx/Eka3TxqSy8YSRVGIDfPHulAVLJyKExAYkYm1/zgE+Pny75ED+Pv50qBZK1wLp7zUSnbi7/MaW3sZ9yjej4WFBZMmTWLSpElJllm1apXWtnefyCanUaNGOaaxFO/vwoUL1KpVK9kyAc/u4uOxnuiYOI7f8cXMLh9t6pRFpYK4yBDM8hTC3MGV2Nw56zs5p7h76zrnTp3Azj4XbTp1x9wiZw2H8X79klwOjlldDZHDSduXMgkgs8Dz589TnAkq4N4p4oJe8zIgguO3vWlZ0QXLGH+iAoOJUxQMjEwJfHwRixeeYKl5rpTSTXWlclR1T3lGvJTk1FSNxLOSBgUGcPzATgwMDRg+5jMMDAx0zlz7rpRmVAXt1J70SPVJnMbjktuCuLg4fjm1L34a9gzyIac0CyEyxosXL7TWQnuXoig8Wvs/FEXhjKc/IRExtK5oQ0zwa+IUBSUuhjjvJ0RHRmLm4qU1UVxq274SBe1S/RqyazuX+LXrmlQnJQE+Lzhz7ABNWrSmZBndM0Cmti3MiHZOF7cCdty7cxs/71c0b6z9kCI9Z759n3Poc0x2+UwJkZzsP83PB2jPnj2UKVMmyf0JvY/RMXHsv/aGpmUdyWdrRExoADHhwcRFhhAbEUxsWABx4YFJnkekXmhoCNs2riM6KoqCroVzxExYiW1cvRSVSkWjFm2yuipCCAGAn58f586do2TJkkmWCXh2F2JCuf8qlDeBkbQo74hxdCDRoYHERYZAXBwxwd5Eh3jLRHHpzPPuHXZu3oitnX22WdMxtT4bPoiJk7/N9uvnCfEhkMccmSw4OJj169fz/PlznfsVReG1x0bigl7zzD8COwtjCjj8N/bA2BQzhwIoRm8H15rYuyAjHtNHbGwsh/ftwSmfM41btM7Ws6wm5fGD++zavI6OPfphZCT/vIUQ2cP69etp3Lgxbm5uOvfHxcXxaM1nADzyDqN0fmvMjOO/g42s7DGyfpsl49z6S0IN7TK6yh8Nfz8/Du/fTcu2HShcNOeNK42Li2P75o3cu3uHTt16ZnV1hPgoyC/MTKQoCjNnzqRRo0bY2upedD7klScvjy4A4JlvOEUcLd49ATZFa2BTvZfmuoPpkIrxsYuKjGTbxrVYWFrRsFnLHBc8xsbEsHH5PPZuXkHfwaNo3aFrVldJCCGA+N7HBQsWMGXKFJ37Y2Njubnua4iLH8//zDecBiXfjuGOjQzD9dOZmt/L0u6lC68nj9i3azt1GzbJkcHjm5fP+P37/2EQF8mqjdswt0hmmTMhRLqRADIT/fLLL2zfvp29e/fq3K8oCo92/KD+2z8sGtfc78x8FhNO0MNzxBSopTH2I3G+/Av/8GTroWsZj4yQGWNF0jLOQ5cTRw6S2zEvDZu20AzO9aTPOI/ES24kHteR1JIcyZWp6p4Hfz8/Rn7aGzMzM3YcOknefElNd582Mt5RCJFWiqJQp04dWrduTYcOHXSW8b64jZgnZwAICo/G2MgAE6O338NKRCCvLmzHqtzbNdl0tSepbft0nSOldivx/qwa05YebV9EeDj7d++gVduOuBTQXp4qpfGO6SWltlGXym55OHb4IJOGDmTIyDF8MWlCqh786nPvhaaPdUkroVvOG+CVg92/f5/hw4er15BJLPT1A2J8HwMQGR2HT1Ak+ew0c/nD/V/J2I909vjhAx4/ekDteg3TFDxmpZfPn9GjbTMqVavOkrVb0j14FEKI96EoCp6enkybNk3n92tMTAwvDi1U//3UJ5z8ucy0ykYE+mZ4XT8mMTExnDx2mMJFi+sMHrO7LRvW8dnwwSxZtY5R4z7PcVlDQuR00gOZiQoVKsTt27d17lMUhcd7ZgEQHRPHniuvKeJoibFRohg/wh9DS4eMrupH48LZ09y4epkWbdpjmsMG3oeFBjNkWC86duvJkNHjs7o6IpNYmxmlqUcj1Ey+7kXmMzAwoGDBgty6dYtKlSpp7X/17zL4byT/S/8ILj4KoFFp7VnBY+8fhLqfZnR1PwrR0dFs+mclVtY2NG/dNuUDspnLZ08w74cv2LBjL24lkp6USXxYpO3LXuRdzUQ9e/akVq1adOjQgYYNG2rsC339gKhX8cHl7RfBWJgaUr9k2gLFtEznndp/lBk1fXVq6Uqv1De1x8/Hh0sXPOjZbyBW1jbvVY/0mLpcnxTWhNSeuLg4Zn/5GZWq1WDwqHHq/Wm595KimjqSxiNE6nz22Wf07t2bS5cuacyQGRMTw5uz69V/n7znR72Sud9OHPcuo5Qf8KXHUhYZkW6aGW1fal7rpfNnsbaxpXX7Tslm3SRe4kqXxGmu6bFsR+K20CX323GNjzzv8fvUcazdsIGqFcu+97XelRFLfciSHOJDJSmsmahw4cJ8++23rFixQmP7u72PAMaGBhgbGuS4dMqcJCQkmF3bNlGnfqP3Dh6zwt7NKwkPDeWbH36Rz4kQIlsbNWoU1tbWeHh4aGx/9e8yUN7+SDc2VGGaOOvmP9Y1+mRoHT8Wd2/f5Na1qzRo2jzHtR0xMTF8N2EUQ8dNonadOlldHSE+ahJAZjIXFxd8fHw0toW+fqjufQTIY2PKm6BI3ScwkfGP78vP15et6/+hVJlylCpbPqurk2qvXzxl7V9zGPX1TFmqQwiRIzg7O2u0fYl7HwEcbUx5Haij7TMwxsKtofZ2oTdFUbhx9TInjx2mTaeuWFlZZ3WVUu2fpQuxtLSiU49+WV0VIT568uszk4WGhmJpqRkEvrqwTeNvBytjwqNiCY+KxdxEc2C4dQlpRNNKURTOnjzO9auXqVW3AWXKV8zqKqWaoijM/+krOvYZRn7XolldHSGE0EtoaCgW7yyx8PrUSo3eRwAnO1PuvgwBNJe5MiuY876rs5OQ4CD27dpOZGQEHbr2IpdDzptHwevxQ1YsnsuKLftzXM+pEB8iCSAz2dOnTylQoID6b0VRCL5zVKOMShWfxhMVE6cRQBYZuhYjq9xaU5UnzrFPPBYi8ViJtEw7nvgYXeMtsstYuqTGhjx64MmD+/fo9elgLC2tMrQOLnm0e4pTnhI95fWrvJ/ewufVUyZO+hwjI6N0GfMjhBAZ7d22T1EUogJeapUxMzYkKjpOa3vBTj9otUG6xh4nLpMebVJKbV92b/cgfpmqfM4u1KzbAAOD9E08SzxOUp9xk6llaWbMnGmL+XTwUKpUKJ3u59eXjGcU4i1JYc1k58+fp0KFCuq/I3yfojLU/OKPjVMIjoghNk7R2K6Yaj6VFfq7d+cWRw7soXb9RgQFBHDh7GmuX7lEbGxsVldNw5Y1SxjVp02S+1f9vYhenw6W1FUhRI4REBDAs2fPKF68OBDf7sXFRGiVCw6PITImLlHbJz9T0ioqMpLD+/fg7+dH+UpVuXvrBufPnOKZ15OsrpqWpjUrsGf7Zp37AgL82bl1M30+HZTJtRJCJEW+mTNJVFQUX375JadPn6Zp06bq7YamlhhZ2mmUNTRQkdvahBvPgjW2+x6fnxlV/eDcuHqFzWtXUbZCZSLCw9i1bRORkRE8uH+PLetWExISnPJJMom/rw+3rl5k8W/TiYqM4O7Nqyz5/Seeez3Gz+cNJ44coFP33lldTSGE0Mv9+/dp0aIFnTt3xtTUFIhv92LCgsBIs7fKJZcZ/qHR+AS/zdYwtNZe0kPoZ/P6Ndy7fZOqNWpz+sRRbl6/SnR0FAd37+TsqRMoipLySTLJ08ePGDdsAIf27iIqKoot69fw94I/iI2NZcOaVTRs2py8TvmyuppCiP9IN0YmGTFiBC9fvuTKlSs4Ojqqt5tY58amUCV8fB4B8NwvnJvPgwmJiKFBqdwa54ixLqBX+mlKKTVpST/Nrmk7KYmMjOTW1QuUK1+eID9v/N68oFGzVhQt7oaiKFw4e5qNq1fQqn2nZBunlNJyUk5PTZmNpTGduvdkzZI/WLdsPgd3bsTXx/u/6xtjYmpKm/adcHZyTOFMycsp9y6npAslXtYDZGkPIQBCQkKoUaMG3333HaNGjVJvN7HOjXuf37mxoC9R/k8BOPfAH5/gKPLYmOJo8873rY2zznZP17+7lL4zEp9Hn++YnNr2eT15hPebV7iXLMPtm9cxMjKkdbtOmFtYUL5yVfZs34KfjzdNWrbBxCT9006Tk7i9dMplyZffTeOnqd8wckAvXPIXwPvNa6Kiomj9SRtW/b2YJctXvFebkBFLqXzsZEmrj1vO+IX2Abh48SJ//fWXRvCYwNK5BAlz0919GUpweAytKuTFwertl7pRvrKY56+QOZX9QCiKwvbNGyjoWohGzVqoB94n/CBQqVRUrVmbXA652bF5PXXqN6JkmXJZWWXCwkKxz5Wb6XMWYqDEcPrEMVb9vZASpcvw/VcT2Lr3UJbWTwgh9PXgwQOcnZ0ZM2aMzv15qrbn+YE/iIqJ4/LjQKoXs8c9n9XbSVJUhlhV7paJNf4w+Pp4s2/Xdjp07UmBgoW09ltaWtGha0+OHdzHprUradW2I3b2uTK/ou948/oVbTp0oluvvuRycKBVwzqUKFWGIwf34+ziQtVq1bK0fkIITRJAZhIvLy8KFiyoc1+u0k0IfX6TVzdP8MTvBd1rOmNuYoTKyAQMTSAuDqIjUJnKEh6pERMTw8sXz2mTwmLJRd3cscuViz3btxAaEkKVGrUysZaa/je0L2UrVaF67fpYW5jw6MF9+g0ewcZ/VtJ/yAiKublnWd2EECI1nj59mmS7B+BYuQNhL+9xcv8Wiuazo0JhB0CFyshY3fbJjJup9+L5M5xd8usMHhMYGRnRuEVrrl+9xKa1q+jQtScOubMmXfjZ06f8vXAeOw8dp2LlqgC4lSjJZxO/5MvxYzj677/yORAim5EAMpMYGxsTEaE9aQBAhM8TYkL9efQqGNd8ubGyd0SJicLYxpE4g/gxI7bNJmFomT5Tb+uTgpN4ptfEKSc5IY3H2NgYZ5f8vHr1ksJFkl/ywiF3Hjp068mmf1ZhZ5+LYu4lePr4Ifa5HLC2SXnyIn1mnkupTER4OK9fPqdNx85YW5jw5P5tdm7egIGBCmMTE8b+b0KK18gJ9yUpOSVlVR/vpvaERUnqlPg4mZiYJNnuQXzbp0SH89BfoVJRZwwtrdRtn8rYDIBcTgUxMjfKtBTExNdJS9uX0izmGc21UBFOnTie4izdKpWKchUqY2Jiys7NG+jRbyAqAwOePnpIkeJu6T5jawKnXJoPw1dvXwtAnjx5iY2NZePa1bx5/ZqfpnzN/76YTNGixTKkHqmVlhRoIT5U8unPJJUrV+bcuXNaT2MVRSHgzjGMLHMRYFmcYoXssS1ZhNjwIAwt7DAq302evKVRQIA/z595Ub9RE73KW1lZU6psOV6/fkloaAgnjx3BzNyMlm064Jy/QMoneE9Tv/wfn3TozISvv+fFMy+6tGlB246d2bV9K1v3HpKZV4UQOUqlSpW4ePEisbGxGBpqrmmc0PYpprYEmTjjVrslpibG6rbPoUYvafvS6O7tW5ibm+tdvkSpMlw4cwo/H2/Onv6XVy+ek+9qflq175Th4yODg4L46fvvWLlhK/kLFuTP2b+we8dWqlSrTkREBH0HDsnQ6wsh0kZmYc0kLi4ueHt7a22P8H1K2JsH3Lj7kAe3rxHr+5Awr6vERUcQ9eYBsf5eWVDbD4OiKJiYmOKY10nvYwwMDLl07iwP79+l94DBNGnRmt3bNxMeFpaBNY2f8ODfo4fo1L03h/fvoX3TOjg5u3Dq3+NMnjpdUleFmoWJEVamxqn+z8JEHkCIzJUnTx7Cw8OJjtae8CbC9ykBz+9x3OMacSHehDy9qtH2Rfk9zYIafxgiIyMolELWTWIxsbFs3bSOPI5ODBr5GZZWVhw/tD+DahhPURR2bN2EqakJjZo25/Mxw/l52ncULFSY61cv8/vCJRnWCypyHmn7shd5VzOJmZkZQUFBWtsNTS2JCgnk4L8XqFEqPyUKxs+8Gh0Yv8iymYx7TLOXz57hmDdvqo6pVLU6biVKYm1ji0qlwtbOnpKly7Jr2ybcSpSieImSWFik3z3x9fFm1d+LWLvib4aOGU/Nug34/qvPadCkBVcunqN12w50790v3a4nhBCZKaHtMzMz09huaGrJw8dPefDQiw51SmL+3wyOCW2fobR9aaIoCi9fPKd02fKpOq5H3wHExcVhbmEBQP3GzVi7cinHDx8kn4sLxd1LpmuP8AWPs8ydPZOnTx6zbO0mADb+s5rxX0xm2eKFrN60TZbtECIbkwAyk9SvX5+//vqLSZMmaWw3sc6N4yff4eq/im6ffcbzgPAkzpC0jMjLTzxWQp8xftlJeFgYJ44doW2Hzqk6zsDAABtbO42xI02bNePsWQ/u373N5fMelCpbnsLFipPHMXXBaWKxkWG0bVSLlp+0ZdfhExQqXITwsDD279qOr483/QYN5cvvvn+vawghRFaqX78+x44do2vXrhrbTaxzY1b1U5rWMKRegwZaSwIEhsdAOo8dTMuyHYnH6+kjK5eMuH3jOuFhYbiXLJWq40zNzDTaPUszYzp178UFjzOcOnaEW9eu4layFIWLFlcHmWm1deN6fpgymZFj/0ePvp+S196K40ePEhsby/K/FrJm7Trq1qr+XtdILD3GpcqYx+TpWlpHfLgkNyCTNGjQgJMnTxIXF6e1LzAwEFvblCdqEfrz9/MjJiaGvPne/wmmgYEB5StVoXOPPjT/pB2RkRHs2rKRyxfOvdd5z505hVuJkvw0+w8KFS7Ctk0bKO6SG18fb0aM/R/TZ86WMUBCiBytQYMGHD9+XOe+gIAAafvS2TOvp7gUKKg15jQtrKxtaNCkOX0GDaNE6TI8fvSAf1YsIcDf773Ou2fnNr74ZiqfDhmOoigMHzKYT1o2B2D9pi3UrV//vesuhMhYEkBmkly5cmFnZ8eTJ0+09jk4OPDmzRuCg4O19kVGRuKz8TMiIyMzo5ofjDx58xIXG6tz7M37yOeSn7oNm9CpR28unjvDk0cP0nSekOAgvpn0P3r2/ZSoqCh+//VnRg3uD8CS1ev4aso0CR6FEDleuXLluHnzps59+fLl4+7du1rbo6Ki8N3+FaHPb6EoSkZX8YPinD8/oSEh6XpOIyMjSpQuS6u2HalSvRZ7d2wlIjz12VIAh/bt5srFCzRu1gLvN6+pWb4kq1euoGy5cty+/4AaNWuma92FEBlD+uMzUYkSJbh79y6FCxfW2G5ra0uZMmXYs2cPNerWx8EhfrkOT09PYrcPB8B/5Wjo9JvO86bH0g0ppXPkpOUhYmNj2b97J4WLFtMad5NebGztaNW2I3t2bKFk6bK4lSxN7jyOegd9u7dtxuvpE43AsVLVaixavoZ8zi4ZUufsRtKBhPjwJbR7ulStWpWTJ0/i4eGBe5ly6pmmH88dALwm5PllotrOwSR3Ea1j0+P7Q1e7l1Jbl9VLdCTnzetXnD11kkZNm+vcn9KyHimVByhXsTIhwUGsW7WM6rXqULBwESwtrfQ+x4LfZvDyxXPat2jMg/v3APhxxkxGjBqdql7T9x26I+2PEO9HeiAzka2tLSFJPBls2LAhAQEBbNuyWb0t7r/gEYBoL5BeSL34+/ny0PM+zVu3ydDrOOcvQPc+nxIbG8feHVvZuGYFfr6+eh1793b8E/n7d+8AsGHnPnYcOPbRBI9CiI9Dcu2esbExXbp0Ye/evVy6eBGA8PBw4LW6TNTROdILqafbN2+Qv2BBihQrnmHXUKlU1K7fiIZNm/PQ8x5rli7m1PEjemf73LpxHYAH9+/RrGVrLt99xOixn6VLyq0QIvPII5hMZGZmluSiyhYWFhgYGJDXKR/3ZjXVfYJdXyTZCyneMjExxcjYOMPXr4L4MSL1GjWhbsPGXDrvwbaN/9B30PAU12x0+i9QdMybl38vXMfSKuknuEIIkVMl1+4BWFtbA2BpZaW77Qt+TLTvI529kEKTialppl3LtXBRXAsXJTQ0hP27tuNx6gR1GjRO8ThHJydevXjB1J9/ZeDQEZlQUyFERpAeyExUoEABzp8/n+R+Z2dnXm7/NukTSC+kXiws42fN8/fTrzcwPahUKipXq4FDbkfu3dY93idBVGQke7ZvZvCI0XhcvyfBo8i2QkNDmT59OnXq1KFcuXJ07NiRw4cP63Xs06dPGTFiBJUrV6ZixYoMHjwYT09PnWVXrlxJ8+bNKVOmDE2aNOGvv/7SOeGYyHmMjIxwcHDgypUrOvfb29tjZmaGz7phSZ4j6tAs6YXUQ65cDrx4/ixTr2lpaUXTlp9w68Y1IpN5UABw8fw5wkJCWb9jrwSPIluTti9lKfZAPn/+PDPq8VFo27YtrVu3ZsKECTr3Ozo6sulZKC4OVthaxN+ad5tMBYhZ/RnGnyQKMiPMNf58lYa6hUUmP47DwjTndFZ7v3nDk4cPCAwITLFBS4r2dEb6cXcvzomjB7CxskhydsHVy5fimMeRISPG4Ov9Jo1XyvlCzXLOZ+p9vH79OuVC2dSoUaO4desWn3/+Ofnz52fr1q2MGjWKhQsXUj+ZmRJ9fX3p2bMnDg4OzJgxA0NDQxYsWEDv3r3Ztm0bTk5O6rLz589n7ty5DBs2jBo1anD58mXmzJlDYGAgn3/+eWa8TJ2k7Us/PXv2ZMGCBXzzzTc69zs5OXHkpD9Ny+ZWjyPXCBdDHsHlU2Bf4O22MOsUrxscodmuWSf6znkdqN0+pNTWJf7eSnyNrPTv8SMYGhjx6kXaPrtpbfcA8jk5cnD3Fuo2aIzBO3MBJJwzTlGYMHo4k6f+QIXSJQj1e/u9GJqWuiZ63z+W9iQnkbYvZ7Z9+lIpSTzWCwoKomrVqpldHyGE+ODY2tpy4MAB7Ozs0nyOZ8+e0bhxYw4fPkz+/Pkz/Pjjx48zZMgQ/vzzT5o2jU8tVBSFnj17EhAQwN69e5M8dubMmaxevZqDBw+SN2/8eqn+/v40btyYNm3aMHXqVPW2+vXr07VrV77++mv18b/99htLlizh8OHDGg1uZpC2Twgh0oe0fTmn7UutJB/Z2NjYcP78eYKCgjKzPkII8cGxsrJ6rwY0Kxw8eBBra2saN347rkmlUtGhQwe++eYbPD09KVasmM5jDx06RK1atdQNKMSnKjZs2JCDBw+qG9F///2XyMhIOnTooHF8hw4dWLhwIYcPH6ZXr14Z8OqSJm2fEEKkD2n7ck7bl1rJ9vnb2NhgY2OTWXURQgiRTdy/f59ixYphYKA5VN7d3R2Ae/fu6WxEIyIiePr0KS1atNDa5+7uzq5du/D19cXBwYH79++jUqkoXlxz1shChQphZmbG/fv30/EV6U/aPiGE+Dh9zG1fakjSuBBC5CCvXqVllPPb43QdrytgCggIoFChQlplE8b2BgQE6LxOYGAgiqLoHAOc8CQ6ICAABwcHAgICMDc31zljso2NTZLXEEII8XGRti97kQBSCCFyACsrK2xtbd8rrcXU1FTn8aNGjWL06NFa21XvTIaRmn367NdHepxDCCFEziVtX/YkAaQQQuQAdnZ2HDhwIMlF2fWhKIrOhklXuqadnZ3Op6CBgYEASc4ybGtri0ql0nlswraEp7F2dnaEh4cTFRWl9SQ2KCgoyWsIIYT4OEjblz1JACmEEDmEnZ1dpk1IUKxYMQ4cOEBcXJzGWJB79+4B4ObmpvM4MzMzChQooC73rnv37pErVy4cHBzU11AUhfv371O6dGl1uSdPnhAREaE1PkQIIcTHR9q+7Mcg5SJCCCE+Nk2bNiUoKIgjR45obN+2bRuFCxdOchY6gCZNmnD69Gm8vb3V2wICAjh69Kh6WnSAevXqYWJiwvbt2zWO37p1K0ZGRjRq1CidXo0QQgiRMmn79CM9kEIIIbTUr1+f6tWrM3nyZAICAsifPz/btm3j4sWLzJ8/X12uT58+nDt3jrt376q3DRw4kB07djBkyBBGjhyJkZERCxYswMjIiGHDhqnL2dvbM3ToUObPn4+1tTXVq1fnypUrLFmyhL59+5IvX75Mfc1CCCE+btL26UelKIqS1ZUQQgiR/YSEhDB79mz2799PUFAQxYoVY+TIkTRp0kRdRlcjCvD48WNmzJiBh4cHiqJQuXJlJk2apJWaoygKK1as4J9//uHFixc4OjrSrVs3Bg8erDWNuhBCCJHRpO1LmQSQQgghhBBCCCH0kv1DXCGEEEIIIYQQ2YIEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfQiAaQQQgghhBBCCL1IACmEEEIIIYQQQi8SQAohhBBCCCGE0IsEkEIIIYQQQggh9CIBpBBCCCGEEEIIvUgAKYQQQgghhBBCLxJACiGEEEIIIYTQiwSQQgghhBBCCCH0IgGkEEIIIYQQQgi9SAAphBBCCCGEEEIvEkAKIYQQQgghhNCLBJBCCCGEEEIIIfTywQSQy5cvp3r16gQGBmZ1VYTQyxdffIG7u3tWVyPNUlv/uXPn4u7uzrNnzzKwVkJ8+Bo1akSfPn3Uf0dERFCnTh3+/PPPLKyVEClzd3fniy++yOpqpFlq65/436oQH4oPJoDs0aMHJiYmzJ8/X6/y48aNw93dnadPn2rt+/bbb3F3d2fChAla+7y9vXF3d2fYsGGpruPy5cvZsmVLqo8T+unTpw/u7u7q/8qXL0+dOnXo378/CxcuxNvbO6ur+ME7dOgQc+fOzepqCPFRMTMzY8iQIfz999+8fv1ar2OePXum8X1ZokQJKleuTPPmzRk3bhx79+4lJiYmg2su3ofcw+xh7ty5HDp0KKurIUSmMsrqCqQXU1NTunXrxqJFixg2bBj29vbJlq9evTp79uzBw8ODggULauzz8PDAyMgIDw8PreMStlWvXj3VdVy5ciUuLi507Ngx1ccK/ZiYmDB9+nQAoqOj8fX15dKlS/zxxx8sXryYadOm0bp16yyu5Ydh2rRpTJ06VWPboUOH2Lp1K6NHj9YqP3z4cIYMGYKJiUlmVVGIj0bnzp357bffWL58OZMmTdL7uNq1a9OuXTsAwsLC8PLy4tixY+zZs4fSpUvz559/4uzsnFHVFulA7mHmuXbtGgYGmn0vf/75Jx06dKBJkyZa5fft25dZVRMiU30wASRAu3btmDt3Llu3bmXAgAHJlk0IAD08POjSpYt6u7e3N48fP6Zjx45s2bKFJ0+e4Orqqt5/7tw5AKpVq5YBr0C8LyMjI3VD+q67d+8yZMgQJk6ciJOTE5UrV072PCEhIVhZWWVUNT8IxsbGqSpvZGSEkdEH9ZUjRLZhYWFBs2bN2Lp1K+PGjdP7QU2hQoW0vjMnTpzI8uXL+emnnxg6dChbt25N9t9ubGwsUVFRmJubv9drEGkj9zDzmJqapqq8PDAVH6ockcIaFRXFX3/9Rbt27ShfvjyVK1emY8eOrF69WqNcgQIFKFy4sF5PfAoXLkzevHm1ehkT/h42bJjOXkgPDw9sbGwoWbKketvp06cZMGAAVapUoWzZsrRp04a1a9dqHOfu7s7z5885d+6cRspJSuPBtm3bRufOnalSpQoVKlSgcePG/O9//8PPz0+j3OPHj5kwYQJ16tShTJkyNGrUiBkzZhAWFqZR7sGDB0yZMoXWrVtTsWJFypcvT8eOHdmwYYPWtQMCAvjxxx9p0qQJZcuWpXr16nTs2JElS5ZolIuJiWHx4sW0atVKXW7kyJHcvXtXo1xCus3cuXM5evQonTp1omzZstSpU4cZM2ZopdqEh4fz4MED3rx5k+x7pA93d3d++uknYmJitFIsE8Y0nDlzhh49elCxYkWGDx/OsmXLcHd35/Tp01rni4qKolq1avTr1y/Fa0dGRjJjxgzq1KlDuXLl6Ny5MydPnkyyvL73MmEMop+fHxMnTqR69epUqFCBfv36cevWLa3z6nufQL/PXeIxkH369GHr1q3q9zThv4S07aTGQD579owJEyZQq1YtypQpQ5MmTZg9ezbh4eEa5RKOf/jwIbNnz6ZevXqUKVOGtm3bcvz48STfTyFyqpcvXzJ27FgqV65MpUqVGDZsmM5hFwnq1auHv78/Z8+efe9r9+/fnzZt2nDv3j12796t3r5lyxb19+K8efNo0qQJ5cqVY+/evbRt25YGDRoQFxendb49e/bg7u7Otm3bkr2uvu1OwjkTvrPLly9Ply5ddLb/e/bsYdiwYTRo0IAyZcpQvXp1RowYwZ07d7TKXrp0iUGDBlG7dm3Kli1L3bp1GTx4MFeuXNEol1HfW2/evOHBgwda50mLrLqHAPfv32fgwIFUqFCBatWq8fnnn+Pr65tkeX3vZUJ7ffr0abp27Ur58uWpXbs206dP12ojQf/7pO/n7t0xkAm/aQC2bt2q0e4lSGoM5KFDh+jevTsVK1akYsWKdO/eXWcabMLxDx48YMiQIVSsWJHKlSszZswYGZYjslS27w6Iiopi4MCBnDt3jjp16tC2bVtMTU25d+8eBw4coHfv3hrlK1asyI4dOwgNDcXS0jLZc1erVo2dO3fy+PFjChUqBMT3MBYuXBhXV1dKlSqFh4cHXbt2BeK/2B8/fkzjxo3VKQzr16/nu+++o0KFCgwbNgxzc3NOnz7NlClTePr0qTqVaObMmfz000/Y29trjJ/MlStXkvXbvn07kyZNokqVKowZMwYzMzNevHjBiRMn8PX1VR9748YN+vXrh42NDd26dSNv3rzcuXOHVatWcfnyZVatWqXuLTp37hwXLlygQYMG5M+fn/DwcPbt28c333yDv78/Q4cOVV9/7NixXLhwgW7dulGiRAnCw8N5+PAh586dY9CgQepyn3/+OXv37qV27dr06NEDHx8f1qxZQ/fu3VmzZg2lSpXSeF3Hjx/nn3/+oXv37nTq1InDhw+zdOlSbG1tNd6ba9eu0bdvXzp06MDPP/+c7L3UR61atXBxceH8+fOEhYVhYWGh3nfjxg32799P165d6dChAwBNmzZl9uzZbNq0iVq1ammc6+DBgwQGBtK5c+cUrzt+/HgOHTpEw4YNqVu3Lk+fPmX06NHkz59fq2xq7mWCQYMGYWtry6hRo/Dx8WH16tX06tWL9evX4+bmpi6n733S93OX2LBhw4iLi+PChQvMnDlTvb1SpUpJvjfPnz+nS5cuBAcH06NHDwoVKsS5c+dYtGgRly5dYvny5VpPzb/44guMjIwYMGAA0dHRrFixgpEjR7Jv3z6d76kQOVFQUBC9evXi1atXdO/enaJFi3L+/Hn69u1LRESEzmMqVKgAxH/P16tX773r0KVLF3bu3Mnx48e1ergSHvp17doVS0tLChcuTNeuXZk2bRqnTp2ibt26GuU3b96MtbU1LVq0SPaa+rY7v/32GwsXLqRu3bqMHTsWAwMDDh48yNixY/n222/p1auXuuzq1auxtbWla9eu5MmTh6dPn7JhwwZ69OjB1q1b1e3/w4cPGTBgALlz56Zv3744ODjg4+PDpUuXuHPnjvr9zcjvrdmzZ7N161ZWrlyZpqEyiWXFPfTy8qJXr15ERUXRq1cv8uXLx9GjRzXu37tScy8Bbt68yf79++nSpQvt2rXDw8ODVatWcf/+fZYtW6b+fZaa+6Tv5+5duXLlYubMmUycOJEqVaqofyumZM2aNXz//fcUKVKE4cOHA/EB6MiRI/n+++/p1q2bRvnXr1/Tt29fmjRpwsSJE7lz5w7r168nJCSEpUuX6nVNIdKdks0tXrxYcXNzU2bNmqW1LzY2VmvbvHnzFDc3N+X69espnnvDhg2Km5ubsm7dOvW2Zs2aKd98842iKIoyc+ZMpU6dOup9O3fuVNzc3JRly5YpiqIor1+/VsqUKaOMHz9e69zTpk1TSpQooTx58kS9rWHDhkrv3r1TrFeCkSNHKhUrVlSio6OTLdemTRulefPmSnBwsMb2AwcOKG5ubsrmzZvV20JDQ7WOj42NVXr37q1UqlRJiYqKUhRFUYKCghQ3Nzflu+++S/baJ0+eVNzc3JSxY8cqcXFx6u23b99WSpYsqfTo0UO9zcvLS3Fzc1PKly+veHl5qbfHxcUprVu3VmrXrq1x7rNnzypubm7KpEmTkq1Dgt69eysVKlRItszQoUMVNzc35c6dO+ptbm5uipubm3Lq1Cmt8uPHj1fKlCmj+Pv7a2zv37+/UrVqVSUiIiLZ6/377786X8PBgwfV131Xau7lpEmTFDc3N2XkyJEa7/3169cVd3d3ZcCAAeptqblP+n7uEq6f0rYEf/zxh+Lm5qZx78ePH6+4ubkpx44d0yj7888/K25ubsqGDRu0jh8yZIjGa7h69ari5uam/Prrr8nWV4icZNasWYqbm5uyadMmje3Tp09X3NzckmxLSpUqpQwdOjTF8yd8H0+dOjXJMv7+/oqbm5vSoUMH9bbNmzcrbm5uSrNmzZSwsDCN8kFBQUr58uWVMWPGaGx/8eKFUqJEiRTbE33bnRs3biT5u2D48OFKxYoVNb5DdbV7np6eSunSpTWutWLFCsXNzU25evVqstfPyO+thO/Qs2fPJlsHRcme91BR3r4/Z86cUW+Li4tTRowYodUepvZeJrSbBw8e1Cg7bdo0xc3NTdm1a5dWPVK6T/p+7hKun7g9T+53SuLffQEBAUqFChWUJk2aaLyu4OBgpXHjxkqFChWUwMBAjePd3NyU3bt3a5x3ypQpipubm+Lp6ZlinYXICNk+hXXnzp3Y2toycuRIrX2JBzID2NnZASSbKpGgRo0awNtxjQk9jAnjG6tVq8abN2949OiRRrmE4/bv309UVBSdO3fGz89P479GjRoRFxfHmTNnUvmK37K2tiYiIoJjx46hKIrOMnfv3uXu3bt88sknREVFadShcuXKWFhYcOrUKXX5d3vdIiMj8ff3JyAggNq1axMSEsLDhw+B+Dx/ExMTrl27lmya7cGDB4H43ieVSqXeXqJECRo0aMDFixe10m0bN26s8cRVpVJRvXp1vL29CQ0NVW+vXr06d+/eTZfexwQJ4xpDQkI0tpcoUUKrlxGga9euREVFsXPnTvW2Z8+ecebMGdq0aZPieIiElJSBAwdqbG/SpAmFCxfW2Jbae5lg0KBBGu99mTJlqF27NmfOnFG/n6m5T/p87tJDXFwcR44coVSpUtSvX19j39ChQzEwMNCZ0tO3b1+N11CuXDksLS158uRJhtVViMx26NAhcufOTfv27TW2Dx48ONnjbG1t9Wr/9JHU9yXEz3yeeLxcQu/U4cOHNb73N2/eTFxcXIoZG/q2Ozt37kSlUtG+fXudbW9oaKhGymlCu6coCiEhIfj5+WFvb0/hwoW5du2aRv0BDh8+TGRkpM5rZ/T31s8//8zdu3fTpfcRMv8eJrw/ZcqUUf9Wgvh2XldPXmrvJcQPQUo8Yc2QIUOAt21dau6Tvp+79HDq1CnCwsLo06ePxjwLVlZW9O7dm7CwMK1hM46OjrRq1UpjW8J7m1xKuxAZKdunsD558oSSJUvqPXA54Qfvu1/USSlQoADOzs7qcY4JAWLVqlUBqFy5MoaGhnh4eFC4cGE8PDyws7NT57c/ePAAiB9nkBQfHx+96q3L0KFDOX/+PCNHjsTOzo5q1apRr149WrZsqf7iSajD3Llzk1w+4d06hIaG8ueff7J3715evnypVTYoKAiIH/j91Vdf8cMPP9C4cWOKFStGjRo1aNKkCTVr1lSXf/bsGQYGBhQtWlTrXMWLF+fw4cM8e/ZMI+2xQIECWmUTAv+AgIAUU4/fR0IjmniCnIQUpsSqV69OoUKF2LRpk3ocw5YtW1AURWPypaR4eXlhYGCg8/xFixZVP5yA1N/Ld8+ja9vJkyd58eIFxYsXT9V90udzlx78/PwICwujWLFiWvvs7OzIkycPXl5eWvuS+vz4+/unW92EyGpeXl6ULVsWQ0NDje2Ojo7Y2NgkeZyiKHq1f/pI6vsS0HoAlqBr165s3bqVHTt20L9/fxRFYcuWLZQsWZIyZcokez19250HDx6gKAotW7ZM8lzvflfeunWL33//nXPnzmmNk3v3YWbr1q3ZsWMHCxcuZPny5eqloFq3bo2LiwuQ8763Mvse+vr6EhYWRpEiRbT26XrPUnsvQXebl/DvIuG9T8190vdzlx4SAtTixYtr7UsYcpL485PSbyYhskK2DyBTKzAwEEh+bOG7qlevztatW9W57q6uruTNmxeI/8ItUaIE586do1GjRjx+/JimTZuqG+eEYHXGjBk4OjrqPL+uf/j6KlSoEHv27OHMmTOcOXOGc+fO8fXXX/PHH3+wZs0ajeVHBgwYoDVeIcG7Pzb+97//cezYMbp27UrVqlWxtbXFyMiI48ePs3z5co2B8z169KBx48YcP36cc+fOsX//flavXk2rVq347bffNN6D1Ej8g+hdGdnjBXDv3j2MjY217ktyM8917dqVmTNncuPGDUqVKsXWrVspU6YMJUqUeK+6JPVa9b2XqTl3at7X1Hzu3kda77WuzAMhPkRJBYLJ/dsJCgrSu/1LScIEW7oCDTMzM53HVKpUCTc3NzZv3kz//v05c+YMz58/18rCSIq+7Y5KpeKvv/5Ksj1JCBxevHhBr169sLKyYvjw4RQpUgRzc3NUKhU//vijRkBpYmLCsmXLuHbtGv/++y8XLlzgjz/+4M8//2TWrFk0bdo0x31vZfY9TM1D/ITy+t7LBPr8u0jtfdLnc5dVsvI3kxBJyfYBZKFChXj48CFRUVF6TYf89OlTjIyMknyyllhCAOnh4YGHh4e69zFBtWrV2LVrl7p38t20koReJXt7e53pj+nBxMSE+vXrq1Mwjh8/zpAhQ1i2bBnfffedeokRAwODFOsQFBTEsWPHaNeuHd9//73GPl0zjUL8U70uXbrQpUsXYmNjmThxIrt27eLTTz+lXLlyFCxYkJMnT/LgwQOtgCqhRy27TGxy+vRpnj9/Tq1atTRSeVPSoUMHfvvtNzZt2kTjxo158eKFOl0mJQUKFCAuLo7Hjx9rPXFMSBdOkJp7+a4HDx6oJ3d499yGhobqtb9Se59S+twlJTU9Hw4ODlhaWuLp6am1LzAwEG9vb43ZjoX4mBQoUIDHjx8TGxur8QPyzZs3BAcH6zzm2bNnxMTE6OzdSIuNGzcCaKUApqRLly788MMPXLt2jU2bNmFqakqbNm30Pj6ldqdQoUL8+++/ODs76+yNetfBgwcJCwtjwYIFGimVEN97o+t3Rbly5ShXrhwQPxNu+/btmTNnDk2bNs1x31uZfQ8dHBywsLBQtyvv0vWepeZeJneehH8XCQ+H03KfUvrcpYeE+t2/f1+rdzOhru/T8SBEZsn2j/LbtGlDYGAg8+fP19qn68nLlStXKF26tN5pkAkB4e7du3n8+LFWAFm1alW8vb1Zt24doLn+Y8uWLTExMWHu3Lk6Z8ULDg4mKipK/belpWWq0g0Sjx0E1DNlJvS0lipVCjc3N9atW6czbSYmJkZ9zYQnoInftzdv3qgbmQTh4eFa01wbGhqq03cTrp8wDmHx4sUa57137x5HjhyhcuXKaX4anp7LeNy9e5cvv/wSIyMjxowZk6pjc+XKRZMmTdi1axdr1qzB3Nxc7x9DjRs3BuDvv//W2H7o0CGN9FVI3b1815IlSzTe+5s3b3L69Glq1qyp/neQmvukz+cuKQmBuT6fcwMDAxo2bMitW7c4ceKExr7FixcTFxenc2FmkXlevXrF9OnT1dPru7u7ay1tBPFLuLw7hX3Cf+PGjdP7WitXrqR58+bqqfb/+usvnUsJPH36lBEjRlC5cmUqVqzI4MGDdf5IzOkaN26Mj4+P1pIJf/31V5LHXL16FUCrHUuLFStWsHPnTtzd3bXGX6WkXbt2mJqasmTJEg4ePEizZs30yp7Qt91p27YtED9jaWxsrNZ53h0DmhB8J273NmzYoLUMgq7vPicnJ3LlyqW+dkZ/b6XnMh5ZcQ8NDQ1p2LAhN27c0FhORlEUnUuxpOZeJnj06JHWONOEfxcJ731q7pO+n7ukWFhY6P3brnbt2lhYWLB69WqNcakhISGsXr0aCwsLateurde5RMaQdk8/2b4Hsm/fvhw9epQFCxZw/fp16tSpg4mJCZ6enjx69Ijly5eryz59+pRHjx6pl87Qh7OzMwUKFOD8+fOAZoAIUKVKFQwMDDh//jz29vYayyI4OTkxZcoUvv76a1q1akXbtm1xcXHBz8+Pe/fucejQIXbv3q3u2SlfvjybNm1izpw5FC1aVP0Fl1Rv2MCBA7GysqJq1arky5ePoKAgtm7dikqlUk/HrVKpmDlzJv369aNt27Z06tSJYsWKERERwZMnTzh48CDjx4+nY8eOWFlZUbt2bXbs2IGZmRlly5bl+fPnrF+/nvz582t8AT5+/JjevXvTtGlTihcvjo2NDQ8fPmTt2rXkz5+fKlWqAPFfhi1btmT37t0EBgbSsGFDvL29+eeffzA1NeXrr7/W+14klpZlPGJiYti+fbv6/319fbl06RInTpzAzMyMX375hYoVK6a6Lt26dWPv3r0cPXqUDh066D0WsG7dujRs2JCtW7cSEBBA3bp18fLyUi+xce/ePXXZ1NzLd7148YKBAwfSqFEjvL29Wb16NWZmZkyYMEFdJjX3SZ/PXVLKly/P6tWrmTp1KvXr18fY2Jhy5col+UR1/PjxnD59mpEjR9KzZ08KFizIhQsX2LNnD1WrVlUvqSKyxpMnT9i9ezelSpWiRo0aHDlyJMmyhQoVYsaMGRrb7O3t9brO/PnzmTt3LsOGDaNGjRpcvnyZOXPmEBgYyOeff64u5+vrS8+ePXFwcGDGjBkYGhqyYMECevfuzbZt23ByckrbC82GBg0axK5du/jmm2+4efMmxYoV49y5c1y5ciXJ9/XYsWPY29tr9bQl5/Hjx+rvzIiICJ4+fcqxY8fw9PSkdOnSzJ8/P9kF6HWxtbWlefPm7NixA0Cv8eIJddGn3SlXrhyjR49m7ty5tG/fnubNm5M3b17evHnDzZs3OXHiBDdu3ADi18Y0Nzdn4sSJ9O7dGxsbG3WbULBgQY2gZcGCBZw6dUq9zJWiKBw9epSHDx9qTACTkd9baVnGIzvdQ4DPPvuMEydOMGzYMHr37o2TkxNHjx7VGaCn5l4mcHNzY8KECXTp0gVXV1c8PDzYv38/1apV0wiU9b1P+n7uklKhQgXOnDnD4sWLcXZ2RqVS0bp1a51lbWxs+Pzzz/n+++81lg3bunUrT5484fvvv1dP5iSyhrR7+sn2AaSJiQlLly5l6dKl7Nq1i9mzZ2Nqaoqrq6vWD+kdO3ZgYmKS6i/v6tWr4+XlhYuLizrlL4GtrS1ubm7cuXOHatWqaaXoderUiUKFCrF06VLWr19PcHAwdnZ2FC5cmLFjx5InTx512XHjxhEYGMg///xDUFAQiqJw+PDhJAPIHj16sHfvXtavX09gYCB2dnaULFmSr7/+WuMHQsmSJdm6dSuLFi3iyJEjrFu3DktLS1xcXOjQoYNGmsQvv/zCrFmzOHLkiHr9q3HjxmFkZMSXX36pLufk5ESnTp3w8PDg0KFDREVFkTdvXrp06cLgwYM1xgz++uuv6rGBP//8MxYWFlStWpWxY8dqLKibGaKiopg4cSIQ/9mxtbWlaNGijB07lo4dO2rcj9SoUaMGrq6uPHnyRK+1H981Z84c5syZw86dOzl9+jTFixfnjz/+YPfu3RoBJKTuXiZYsmQJP/30k7onvHz58kycOFErVVXf+6Tv506XTz75hNu3b7N792727dtHXFwcP/30U5IBpIuLCxs2bOCPP/5gx44dBAcHkzdvXoYOHcrw4cNT/aNHpK+qVauqZ5I+dOhQsg2pmZmZViq1Pvz9/Vm4cCG9evVi7NixQPx3cnh4OEuWLFH/AIX4nvygoCA2b96sHqteoUIFGjduzIIFC5g6dWqqr59d2drasmbNGn7++We2bduGoihUr16dlStX6py4LSwsTL04uT7DPRKcOnWKU6dOoVKpsLCwIE+ePJQqVYpRo0bRtGnTNP8b7NatGzt27MDV1VXrwWxSUtPujBo1ijJlyrBq1SpWrlxJWFgYDg4OFC9enK+++kpdrmDBgvz111/Mnj2bhQsXYmhoSKVKlVi1ahXTpk3j+fPn6rJNmjTB29ubffv24ePjg5mZGa6urkyfPl3jez+7fW9lp3sI8e/5mjVrmDFjBqtXr8bExIS6desyc+ZMncMz9L2XCUqXLs2XX37Jb7/9xrp169QzmI4bN05jrKm+9yk1nztdvvvuO77//nsWLlyonvk8qQASoFevXjg6OvL3338zb948IH5G9Hnz5knWTTYg7Z6eMniZkEwTERGh1K5dW/nxxx+zuiriA9WqVSulefPmWV0NteTWXBQivSWsXaprfbrevXsrbdu2TdN5t2/frri5uSk3btzQ2P7o0SPFzc1NWb16tXpb06ZNda5xOH78eKVmzZppuv6HYvny5UqFChWUV69eZXVVFEV5u87hwoULs7oqIo2y4z1MzdrQQrwvafeS9sE83l+7di1RUVGMGDEiq6siPkBnzpzB09OTL774IqurIj5iAQEBOtdz05eSxBIPNjY2es/wm5RHjx5RtWpVQkNDyZ8/P+3bt2fw4MEYGxsne9z9+/dRqVRaE78UKlQIMzMz7t+/D7xNzWvRooXWOdzd3dm1axe+vr44ODi81+vIiSIjI/nrr78YOHCg+gl1Vlu9ejXGxsZamUIi55B7KLKL7Nr2fczt3gcTQPbv3z/Z9RiFSIszZ87g5eXFokWLyJUrV6rGgQiRngICAqhZpSZxhtoD7PVlamqqc4H0UaNGMXr06DSft3LlyrRq1YoiRYqoUyn/+OMPbt68qU7RSkpAQADm5uY60y5tbGzUY7MDAwNRFAVbW1utcu+uifYxBpCmpqacPHkyq6tBWFgYR48e5f79++zYsYOuXbumediAyBpyD0V2k13bvo+93ftgAkghMsL8+fO5ePEiRYsWZcaMGXpPniNEegsJCSHOMI4CT/NjHJP6r+5ooxi8Cj5jzZo1WoPu37f38bPPPtP4u2HDhuTOnZuFCxdy4cKFFCehSE7ip8apWSpGZC4/Pz/Gjx+PhYUFzZs3V49HFzmH3EOR3WTXtu9jb/ckgBQiGatWrcrqKiTp559/1nt2WvHhMI4xwjgm+fSY5Dg5OWXK2qzt27dn4cKFXLlyJdmG1M7OjvDwcJ1r/QYFBamfvNra2qJSqXROl5+wLeGJrMga+fPnVy9cL3Km7H4Ps3PdRMbKCW3fx9TuJRtAvm/OsRBCCLCysvrogpuEtazenRVRl2LFiqEoCvfv36d06dLq7U+ePCEiIkI9RsTMzIwCBQpozVwM8euZ5sqVK93SeKTtE0KI9/extX05ud1LrSQDyICAAJo2bUpQUFBm1kcIIT44tra2HDhw4KNqSBPWpStfvnyy5erVq4eJiQnbt2/XaEi3bt2KkZERjRo1Um9r0qQJa9aswdvbWz0uKyAggKNHjyY7bX5qBAQE0KxZsxQXDxdCCJG8j63ty6ntXlokGUCGhIQQFBTEkuUryZs3L8v+XsLVq1f47fe56lxcCxPJgBXpY8yYMezcuZPvvvtOJkMSH5RXr17Rq1cvQkJCcmQjum/fPgCuX78OwPnz5/H398fc3Jz69etz4cIFFi9eTLNmzXBxcSEsLIzDhw+zZcsWWrRoQeXKldXn8vDwoG/fvhoTF9jb2zN06FDmz5+PtbU11atX58qVKyxZsoS+ffuSL18+9fEDBw5kx44dDBkyhJEjR2JkZMSCBQswMjJi2LBh6fJ6Q0JCCAwMVI+Xad68OZMmTdJo0IVID/7+/jRq1IiAgACuX78uY+zFByUnt30fW7uXFilGgHnz5sXZxYVjR48y4YsvcHknf9jKNO25yEK8KzQ0FHNzc0qVKpUp47OEEPpJWOQ4wdy5c4H4RbqPHDmifiL6xx9/4O/vj4GBAYULF+aLL76gT58+el1j5MiRWFlZ8c8//7Bo0SIcHR0ZPXo0gwcP1iiXO3du9QLlEydORFEUKleuzOrVq3F2dk6HV/uWk5MTERER+Pn50bt37xRTkoRIi6ioKGxsbChevDiGhoZZXR0hBB9vu5caKQaQwREx+AZHcOXKZWrVrpMZdRIfoVWrVvHPP//Qrl27rK6KEOIdKU1a4erqyuLFi/U6V/Xq1XWeT6VS6b0UU6FChViwYIFe13tfZ8+epV69ehI8igyRP39+tm/fTlhYmASPQmQjH3O7py+9clAfPfAkr1M+Sa8QGUJRFPLkyaM1JbIQQmSl69evU65cuayuhvhAKYpCgwYNsroaQgiRano9Vr1/7w5u7iUyui7iIxQREUHp0qVp2LBhimVDQkIYMWIEFy9ezISaCSE+drdu3aJUqVJZXQ3xATp+/DgGBgasW7cuxbIHDx5k0qRJREREZELNhBAiZSkGkNZmRjg52BMZHoaVqbHGf0K8r1evXnH79m3Mzc1TLOvj48OCBQuoUqWKzimNhRAiPdnY2MhyHukgJDI61f996I4dOwaAhYVFimVPnTrFzJkzadWqVQbXSggh9KNXCmvhIkV4+OBBRtdFfIQKFSrEsWPHKFiwYIplCxQoQPv27bl48SL29vaZUDshxMesWLFieHp6ZnU1xAdo4sSJlC5dWq+gsF27dvz1118a0/0LIURW0iuAdMyblzdvXmd0XcRHqn79+nqVMzQ0ZOvWrRlcm4xx4MAB5s2bx8uXL9ULzYqczcDAgHz58jFy5EiaNWuW1dURGSBv3rxcu3Ytq6shPkDm5uZ07txZr7IVK1bk+fPnGVwjIYTQn14B5NbNm4iKisrougjxQTpw4ACzZs3il19+oWTJkhgbS/r3hyA6Oprbt28zYcIEAAkiP0DffPMNffv2zepqCCGEENlKigHk3bt3GDZ4UGbU5YOT1nEcQwcNJCDAn3UbN6NSqbT2y/jTnGXevHn88ssvMpvjB8bY2Jhy5crxyy+/8M0330gA+YGZv2gxfn5++Pj5Z3VVMlVWjT8MCAiggJMju/bup37DhinWQ9pBIYTIOilOorN71071/yuKkqGV+VDduH6NIQMH0Lp5MyaMH8edO7eTLV+2XDn27NrFif8G2Se4dfMGt27eyMCaiozw8uVLSpYsmdXVEBmkZMmSvHz5MqurIdLZLz//BKDzIZ5IWWxsLKtXrqRLx/a0a92KRQvmExQUlGR5S0tLAD5p2Vxr3769ewgODs6wugohhEidFAPITl26ADBrzu/SkKaS19OnfPXFJFq3aE6ZsmX5fOIkbG1tad64EadPnUryuFFjxnLyrAeVqlTR2D77l1+oXrkS169ff3sNLy9KlizJ6dOnM+x1ZIRbt27x+PHjrK5GpoiLi5O01Q+YsbGxjGv9AA0ZOgyAgYOHZHFNcp4jhw7Roklj/l6ymF69+zBk+HCOHztK04b1kxwOY2xsjHdAEEf/1Wwb4+Li6NKhPXVrVtcIIleuXEn9+vUJCAjIyJeSrkJCQjhz5gzR0R/+LLNCiA9bigFkdGQUKpWKwf81ph+qtEwzntJ/bVu3xMfbm30HDzHms3E0bNyYr7+bwqzf5vDt5K901mPH9m1Ur1yREUOH4Ofrq7Hv26nfA1CuXDm6dutOcEQU0YqKO3fuULdu3Qx/j9LLqVOnKF26NIsWLcrqqoj3cPfuXb788ksaN25M2bJlKV++PC1atGDy5Mkaa3X26dOHPn36ZEgdnj17hru7O1u2bMmQ84uPl6+fHyNHj6Fyogd5OV1GL59x9swZhg4eSIOGDTlw+CjtO3ai9SdtWLNuA/nyOfPP6tUEhsdo/OcdGMZnn42jRLGirFq9Bv/QKPW+4Mg4fpr1Ow88PXHO48DhgwcB8Pf358SJE2zatOm965xZxo0bR61atXj06FFWV0UIId5LigHkmJEjURRFeh9T6fDBg8REx7Boyd+ULKU59fbDBw8ICwvVOiYsLIxRw4fx488zad+hI+M/G6uxv6CrKw+fPqNv/0/Zs3sXUVFROObNy6effsqYMWMy9PWkp927dwNQp06dLK6JSKsNGzbQsWNHbt68yYABA1i8eDELFy6kR48e3Llzh549e+Lvn/FjxxwdHVm/fj0NGjTI8GuJj8vmjRvI6+SU1dXIcRbNn8eAgYOY/O13GpkXfn5+BAT462z7dm3bwuWL59mwYy/nz55mz87tGvv7DBjM3oOHsbW15eyZ+GybYcPiH2rXq1cvA19N+lqyZAkGBgZ6LVslhBDZWYqT6Dx58phpP/6UGXX5INy/f4/1//zD4kULWbZilTrwjo2N5fmzZyycP4+d27ez//ARrWOvXb1Knjx5aNy0Ke4lSrBwwXyt4D2PoyPzFi5i3sK3vXdLly7N+BeWjr799lsmTJggaznmUJcuXWLKlCk0bNiQOXPmaPxIrFmzJv369WPLli0YGek1yfN7MTExoUKFCul2vqioKExMTNLtfCJna9+hY1ZXIUeIjo7m3+PHWbRwPp737zNv0WL1vrCwMO7evcPYkSOpWq0aw0aMJDhSM+X77Ol/ad6qDe4lS9Gs1Sdcu3yJT9p10ChTp25dnr32Vv9tamqa4+Zl8Pb2xtbWVoY0CCFyvBR/4c2a8zvjx45hzGfjMqM+GSa1qTmB4TEplrE1f/v23b51kxHDhuL19Cnt2nfg2L+nKFK0KLdv3WL1qhVcOH+e58+eERwczIbNW3F2cdE6X+UqVXj18hXfTZlKaEgob16/5s7tW1o9mDmdmZkZZmZmWV2NHEtRFMJfe2Ket1iWZAYsWrQIAwMDpkyZkuQPoY4dk/7hHRkZyezZszl9+jTPnz/H2NiYYsWKMWrUKGrWrKlVdvHixezevZtnz55haWlJqVKlmDBhAqVKleLZs2c0btyYn376SeOaly9fZt68eVy5coWoqChKlCjBmDFjNHq9586dy59//smWLVuYO3cu586do3Tp0qxatYqnT58ye/ZsLly4QEBAAHZ2dri7u/Ptt9/i6ur6nu+gyAnq1m/A/D/n8svs37K6KmmWlpRUfdq+BIqi8M/KZcycPoXChQvTrUdPlq9aQ1iMim3rNrJv9w7u373Ds6dPKVmmLJOm/KgVPAI0btaCbyb+DxMTE3Zu3cy9O7f5asq0NNcrKfrM3Jra9yw1s8Hmzp07VecWQojsKsUA8vatW1SoWDEz6pIjKYrCogXz+fnHH/hu6jT69u+PoaEhEP+08fPxn/Hk8WO69+hJ/QYNqVq9epLBk7GxMZ9N/JLvv/6CchXi3/MhAwfQ79MB+Pn6olKpaNSkKSVLlcLCwiLTXqPIXiJ8nvD63AacavbCPE+hTL12bGwsHh4elClThjx58qTpHFFRUQQFBTFkyBAcHR2JiIjg8OHDfPrppyxdupRataWwA/cAAQAASURBVGoBEBMTw8CBA7ly5QoDBgygSpUqREVFcfHiRV69ekWpUqV0nv/kyZMMGzaMatWq8eOPP2JqasqGDRsYMmQIixcv1kqdHj16NB06dKBfv37ExsYCMHjwYCwtLfnqq6/IkycPvr6+nD9/npCQkDS9ZpHzPPS8T9t27bK6GtmWr483E8aM4PkzL/bsP0Cp0mXU+47sO8j/Rg2jVp169Ow3gFp16lHMzT3Jc9Wp1xD7XLmYOnmSuu2bO2smpmZmBAYG4JK/APUaNCafi4u6fRVCCJF1Ugwgt2zexJlzFzAwSHG45AcrLDQUjzOnKFDQFUenfISv649FjxWEB0QwfMhgAgL8OXTsOMWKFVcfoygKhw7sx97enkaNm/C/CROTvYaiKFy6eJGL5z0oX6kyKpWKilWqUrJECS5fuoSjoyPhEREMHzKIhw8eUK5CBX6a8QvVa9TI6Jef6QICAvD19aVo0aJZXZVsR1EUAu4cQ4mLI+DOccxyu2ZqL6S/vz/h4eE4Oztr7YuNjdVIKTM0NNRZN2tra3766SeN42rXro2Xlxdr1qxRB5A7d+7k/PnzzJgxg/bt26vLN2nSJNk6Tps2jVKlSqnHG0H8OKlOnTrx22+/aQWQXbp0Yfjw4eq//fz8ePz4MfPmzdO4VosWLZK9rviwVKxUmUFDhmZ1NbLU40cPefLoIaXLlkPluY+YW/uw6v4XZ0/9y8SxI+jUrRcLl68hj+3bB5p+fn5cu3KJmNgYfp4zF8e8yY8jDQ8L4/CBfQQGBNC2Q2cunDtLhy7duXrlEvkLFMTG1paTx44y66dpBAQE0L13Pz7/8mtsXfJm9MvPdJ6enjg6OmJjY5PVVRFCiGSlGEBWrVYNx7wf3hd1agzu24Pg4CDevHpFiO9LTI0NCPomHzGKIf+bMJGJX36lkcqnKAo3rl8jODiYMZ+Np2/PHowcPUar5zE4OJgN69ZyzsMDjzNnUBSF9l2789u8xVj8tybWu2myCWJjY9mwbi19enanfYeO/DpzRpb0SPr7+6f7OMY+ffqwevVqbG1tc9T07JklwucJkQEvMbV3ITLgORE+TzK9FzIprVu31phdMHFa6bv279/P8uXLefjwocZ9LlKkiPr///33XywsLGiXil6gJ0+e8PjxYyZPnkxcXJzG8hp169Zl0aJFhIaGqtecA2jatKnGOezt7SlYsCC//PIL3t7eVKtWTR5mfIQ+ads2q6uQpZ48fkSbJvUpUao01y+fx8o4jqjoOIImOZLPpSBz/1pOrTqaE9hER0dz6MB+KletQbeefVj05x98M+1HrXPfu3ObHVs3cfPaVc6dOU35SpWZ+vMvNG/VJtk6+fn6MOun6TSuVYXf/5zHJ20y/x7FxsYSGhqarkHeixcvcPlvWMvcuXMZNWpUup1bCCEyQooB5PVr1/ANjsDIyChVuf7ZXeLxFPe8AgD49/BeDuzcSO16DajXuAW5HHJz3uMMu/69gpODNU/ntycmTsHazAhLU0OsB07EOyQGiD9fYIA/+3ZuIyoqihr1m2Hr7EKpClXo0qU738+aR5ECefH18WbpovmsWvY39RvUp2GjJowcPZqy5crr1ZtkaGhIj169ad6yFSOHDaH/oKH8Nn9xiscl0BWUJr63usaBKIrC6pUrefXqJYULF+bTvn1Yv3kLrVp/ove1k6MoCqdPn6Z///5MmTIlXc75IUnofTQwsUClUmFgYpHpvZD29vaYmZnx4sULrX1z584lIiKCx48f8/nnnyd5jr179/LZZ5/RunVrBg0aRO7cuTEwMOD333/n4cOH6nL+/v44Ojqm6rX5+PgA8MMPP/DDDz/oLBMYGKgRQCZOxVWpVCxfvpw///yTuXPn4uvrS548eejUqRMjR46USXY+ElcuX6Zbj55ZXY1U0Wf8XuK275VfKJGREcz79QdCQ4Jp0boNteo24OyZs1SsWp0tWzZz+7c2+AQEY2JkgI25ESaObuR9J3gMDI/h1vVrHD18kAIFXXEpVoZuA/LSu21jnAoUYfCQQQBcPH+O+XN+5fLF8/Ts3Zt+/fqyYOFC8jo56TXGMZdDbn74dQ7tOnVl6Ke9CYo2onL12ur91hbJ/9t0TuPzzlcvX/L3X4upWLkya9esZtuWLfgGhWBiYpIuS5/cvXsXW1tbfv31V/r27fve5xNCiIyWYgDp7FKAL8aPZvrM3wDzTKhS1tm6dinrls6jz9Dx3LhynplTvgCgcDE3bGztCF/dmTw2phrHhJw9i9V/aaRRUVHs2b6F4iVKUblaDULC4xuWyT/MpkGFIvw9bzanjh7gxfNndOjcje0HjlKhdNLjQlKSK1cu/lywiFJuxZg2YxZW1tZpPleCV69e4e7uTpWq1diyY6fGeJOjhw8zYuhg9d/29vZcPH8+3QJIlUrFgwcP0uVcH6KE3kdjm/iMAEMzm0zvhTQ0NKRGjRqcOnWKN2/e4OjoqN5XvHh8CndKs6/u2rWLAgUKMGvWLI3gMCwsTKNcrly5uHLlSqqWEUroER8xYgSNGjXSWSbxRBa6zu3i4qJOs3306BE7duxgwYIFGBgYMHbsWK3y4sOz9p811KpThzZtP+xxkKEhIXw+rC/WtraUr1ydOTOmM7xfdwDmLF6O3+XtmKiicbZ/J4PGz5OIiAh1Vs2zp085fvQw3Xr1IXceR175heLolI92XXsyddIYAryfs2bFMszNzRk6aiyr1qzB3Dztvyeq1axFrwHD2blprUYA+T527dxBjy6dWbnmHzp06qyx76tJE9m4Yb36b1NTU555eVEknTITGjZsKBk3QogcJcUAss+Awfww5WvWrlzG1xPHZ0adMl1cXBy/TvmcaxfP8vvybTi5FKBnv/6cOXEEfz8fJnz7EwQH6z741o9QYwcAp08cJXceRypXq6Hxo9TK2pqChYrgcfI4BQq6cuBfj3TrxXBwcCA2Npb79+5QsXLV9z6ftbU19evXJzgklJiYGI0Asn7DhuzZf5ArVy6zd/du8jjmYXSi2XkDAwOJCA8nNDSU+/fvYW1tg4uLC0758hEcHMzzZ17kzp0HE1NTDh3Yj8fZs3h7v+HWzZt43r9PREQEpqamiav10Uvc+whkWS/kkCFDOHHiBN999x1//PFHqqekV6lUGBkZadT3/v37XLlyBad31t2rW7cuu3btYvv27RpjIJNTuHBhChQowN27d9Mt0CtcuDBjx45l+/bt3LlzJ13OKbK/7j17Mah/P+48eISVk2PKB+RAjx4+oE/n9lSrVY8J3/2EoaEh5SuUp3+XtpiamdGkxSf4/6O7FzZw2wTMus8lMjKSXdu30LJNO3Ln0Xyf6jRsxo6N/7B21XK+nf4zHbp0Q6VSYa4jCya1ChYuyroVf733eRLkzetE/vwF8PfTXr92xqzZdOjcmeNHj3Ll8mU6dOqkETzGxsbi6+ODSqXCy8uLN29e4+SUDxcXF2zt7Hj18iWvXr2ifIUK3Lp5kzOnT3Hx/Hn8/f05eGA/Xbt2Zf369VrXFUKI7CrFb/HAAH+GjfqMvbt25JgAUp+UktCI+DJBgQFMHD0UHx8/Fq3fj7nF29S235as4c6Nq1StVRfWdyHxilMJP39Dzp4ltoQ7169fp1ufgeqex+c+b3tUeg6byM9fDGPMhC+JjlMR/d/1E+qRwNJM88d44v265HUuyHXP18RZx6+R5ZL77XjImJgYTl+6g+fNy4SFBhMTFUVeWyMiIyNRFIUmLVpTqmx5LM0S0ocMWLAyviGLiIOI/9KKEurxzDuQI0dP4BccgU/AYzp06o6FpRXRUVE8unedoIAAzMzNMTU1o0iRwoSHh/HixQtevXyprlPXnr0xNjZhzYqlDBoylC5du3Ho4EHMzMwkPTAJEb5PCXvzAEMTS6KiwjX2hYV4EuH7FPPcmbO8ROXKlfn222+ZNm0aHTt2pFu3bhQtWhQDAwNev37N7t27ATC3sCA2Lk49sU7sf+MR69Wrx8GDB5kyZQpNmjblmZcX8+bNw9nZmdjYWHW5lq1asXHjRr7++ms8HzygatWqxERHc+nyZSpVrEiDhg2J++/ccYqiPu7b775j+PDhDBkyhLZt25InTx78/f25e+8e3t7eTJ06VX1MQr1i3xkreffuXX6YPp0WLVpQ0NUVE2Njjh07xvPnzxk8+G0PvPiwlS9fnuo1arB39y6GDByQ1dVJd2dPnWTUkP70HDCcnp8OU2+vUbseU36eTYnSZYm5vQdiI3WfwM8TU1UMN25cJn9BVwoVfjt+OSg0vr0o5F4BGzsHHnneoX3nruqHRvqkq6bU9sUZ24CBIU9fB6sfdJYo+Lb9CA8LY9v+U3g9vEt0VCQx0VHkz2VKZFQkuRxy07Frd+ztc6nLu5WtxNnrd3XWz8TKnhP/nubefU9i4mDL1u0cPnIMSytrvF8+4+qVy5iamREXG4tL/vzY2NgSGBjAzRs3NM6z6/AJPmkcn/q7YPES7OztuHLlcpLZEkIIkV2lGEA2a9kahzyOLPpzDh4eHlSvXj0z6pVpFvz+K5ZW1nzx80KMjTWDlzLlK1GmfKWkex8T3PoRD99BlK1QWSMAfZev9ysArl48T+PmrdKl7gk69hnO79//jzpN2mBuaUmg9zMeed7j9cvn+Pv5YmVjT/HSFbGxc8DI2AQzbDE1NSMqKpJubZqy99/zuBcvpte1bl67wqF9uzS2jfzyZ8wsLJn6448ULFSERw88aVm3Ci9fPFM37A0aNqJxi9YULFSYeg0bo1KpMFQp5M2bl/YdO3Hj+nVatmqdJesa5gSGppbkLp90qrChqe7PXUbp0aMHFStWZMWKFSxduhRvb29UKhX58uWjSpUqrPnnHyomsfxPx06d8PbxYeOGDWzevJnCRYrw1eTJHDt6lHPnzqnLGRkZsfivv1i0cCF79u5l2bJlWFlaUrp0aVq2bJlk3WrXrs3atWtZtHAh06dPJzgkhFz29ri7u+vVk5k7d27yFyjAmjVrePX6NQYqFa6urnz//fd069Yt1e+VyJnqN2hIHkdHvpw4gUGf9v+gZiKPjo5m5KC+zJwzj9JVNSfCUalU9Og3kNjYWMJXJf95v79qDOeC3OjQQ/e4PZVKheF/Ke2PHz6gyDszlb+vYiXL4ejkwk8TB1O0RFni4uLwe/GQxw89ef3qJZGRETg6u1LYvSymZmYYm5iSyywXpmZmHD98kEP79rB2666UL/SfhXM11wMtU74iPfsPolSxQlSqUgV7e3umfvsNv86cgZmZGZGRkVhYWPDpoMEUKFyMqtVr4l6yFNc8n9KgevwDsPwFCjBh3LgUZ5YWQojsRq88EmNjY8ZN+oqRI0dy5syZVKesZVcxMTHs27GNxWs2agWPGnZ/mux54uIU7hw7Qo8vpujc//j+bTYum8eIL35i47LfGTNxcorjxFKjYauO2Nrn4sHdG4SFBFOmfGXadelFPpcCOOTOg+crzbFlVd3fThqiKAojP+3Fmk3byOuUL8lrKIrC0YP72L1tE6XKlMMmdz4iwsNxdHKhabvuqFQqXAvaAVC4aDHyF3TF2Tkfe/YfRFEUzMzMtJ7qGhsbY58r/gmwuYUF9+7eTad35MNjYp0bE+vstQh1iRIlNJbjeNe7PXorVq7U2KdSqRg2bBjDhg3T2N6sWTOt85iZmTH2s88Y+9lnOq/j4uLCrdu3tbaXLl2aP+bOTbb+o0aN0jnboYODAz/++HbmSMMPKHAQqdO4SVNy5XLg999/Z9y4cSkfkEOcOXkCJ2cXGjdvySu/UJ1lom7thrioZM/jdf8GecvV1ejJe9fqxb8THR3F0FFjWbtqBZOnTn/vuidQqVR8PWspR3Zvwt83PvumdYdOFCnmhlM+Z2zt7Llwz0fjmAbl45cfCgjwp23TBvz8/bdM+mZqsg8uQ4KDWfjnHKysralZuy6xCvh6v2Hk+C+o37gpzvZvx3K2+29W9Bm/zqbfp58SGxuLiYmJRttnn8uB8LAw7P4br21mboaXl5fM9CyEyFH0jmK69erL8QN7GDduHH/++WdG1inTNKtVkRfPvSjmVoIXPmEpH5AEn+AorINOYmauvZRGVGQEs78bS79RX9CodWc8juxg/m8zGTPhq/epupZKNRtQqWYDQDOFNSWfT56KpaU1dSqXpWix4rTp0JnGzVrgVqKk+on7pQvn+P7rrwjw9+N/k6fQsGkL7noFJnlOlUrFvpMX6di0Nq7OTnhcvIxroULq/QEB/kz7+gvWr1nFwaPHAShYsCCHDhxI/QsXQogMolKpWLD4L5o0qEe1atWoXTt9JmzJSi9fPKdnxzZUqlot2XJxL66kfC7/CHI/2g300Np3/ZIH2zesYNG6feSxgg4tm9C2YyfKltedmZAWpmbmtOzUR/13if8eYqbEzs6ebfsO079HZyq6F6Z8xUp06dGbGrXrqMdxRkdHs2b53/wxawa16zXk4MlzFCjommxqbYWKFTl/+QpVK1bgyeNHTJmmGTBfvXyRkYP6ky+fM1ZWVgC4uhbi8ePHqXvhQgiRxfQOIFUqFatWraJGjRr89NNPTJw4UWOClewuce9XQHA4z72eAhASHo2NZdp7VX1DoshtbaIe9/Gu37//HNdiJWjYqhMAX85YyIierShRsTaly1fRum7iMZDBYdpPgHVd512JpzJ3zpV0QKlSqRgxbgLDRo7i1o3rbFq/hoG9uxEUGEhx95I893pKTGwMn3/5NV169Fb3nFZ2y6N1rncbVgMDA3WP4hdfTmbW/CXcuPOER553+HxwVwDKV6rM9GnTiAgP58b1q4z9/Aut8asf0tIxOcW7vYdCv/dDUZQkx16HRaU83ktkP8ERMQSGx+Dg7MqKFSvo0qULO3fupHLlylldtSTpsxzTQ8/7ANRvFJ82mdTSF0b5KxH9/EKy1/MNiaJ8kRJaS0NFhfkxZfxgvpv5O4VcXXDKZcn3P//K6CEDOHLmos504MTnSGl+AF3B4ru9gaCZbZP4Grb5nTh24l9evnjBsaNH2PjPSr4YNwpnFxcsLCzwvH+fylWqsmX7DspXqKjzHLq8eB6/xNHsX3+hSq161KxTj9fefgzt04Wrl+Lfz8ZNmtKmZQsCAvx5+OABC+bPS/acQgiR3aQqj9LW1pbdu3fTo0cP/Pz8+OWXXzKqXhnO0NCQKb/8ycmjevR6dd8EaAduLnnix52FHzmE839PE9919/olbl89z4JNx9QpMrkc8tB78Gf8OeNb5q7YDmSPAMnaxobqtWpTvVb8E/b7ng958ugBzvkLkM85P/a22q8vOSqVit8WLqVU2Qp0bd2IpQvnMmPq1+QvVIQxX/2IXS4Hnt2/SoPGTTG3sKBI0WLJptAKIURWadmyJb/++istWrRg//79VKpUKaurlGa16zWgVt36Kc7abVr6E0xLf6IVuCUEUIqiYPjrL5TqoJ0GvmTuLFp16EKdhm/T0tt16sLyvxayfMkiBgwZng6v5P2pVCqcXVzo2bsPPXv3ITY2liuXLxMVFUWRIkXI+86s0PoqVbo0C5auIjg4iIVz5/DDd5O5ef0aTVq0Zun6bVw6d5b8TrkpVao0FpaWVKhYEQeb1LWvQgiR1VI9EK9IkSLs3r2bihUrUrZs2Ry96O3xQ3upXb/xe5/H+80rChaqqbX92L6t1GrcGlMzzaeirTv15OCuTfx7eA/tEq03lV045y+Ac/4CaT7ewMCAVu3ie137Dh7BjKlfY2ufi659hzH7+4nqctFRUfw463eZPEcIka317NkTAwMDunTpwpEjR3B1zZxZj9Obn68PN65eoVqNWu91noCAAAwNDbGw0M5w2b11PUs37tHYplKpmD1vEa0b1aXvgMHpOg9AejE0NKRylSrvdQ6nfPlo06ETUVFRzJ7xA69evODbn37l8N7dDOjWHoifIGz7rj1U/28NaSGEyGnS9A2eO3duNm7cSJMmTVizdi2/zPqNIkWLpindMHGKzZ3rVzl06BCurq5UrVoVR0dHbGxs0lJNDYnTYYJCo4mKiiEsIoagUO0U1qTSet713DuUV8+98Hr+hqrm2hOcDBg6nIFdWzNm/OfYO2juL1+xMn5vnuGUS3P2TH2W7Uhc15TSb90K2KV4zsQSP3VOi4RzTPjiK3r17kv+ggUBWDr3ZwL8/bj95BXdO7RmxMC+NGv5CbXr1cfFvfB7X1ckT1JUhUiZtZmRVrpi9+7dOXv2LOUrVGDI0GF89c23GBkZvXfbFxsbyz+rVxMSEkxxNzfKli1HgXx5M2RZo6DQCFBBcFgEKmMzrf36fvefOvkvZcuW07lvxNjx/LNkLguWrtLYXqRYcQyNjIgJDcAhhd69xOmoiaWUSqrPOTKKi505YM6tGzdQqVTY2dnRp3M7ihcvzpIlSyhSpAhdu3ZlzJgxVKtWjcaNG2fLgFoIIZKSpukFY2NjuXnzJmPGjSc2NpZG9evy++zZPHny5L0qs2vnDlq1asXr16/ZvHkzjRo1Il++fAwcOJAlS5awatUqLl26pF5XLq0eP3zAkb3bsLC05pFn2hcGj4wI5+SRfdSo10Q9Vfm7ChUpRo06DVj8x0xiY2M19r15/RIn5/xpvnZOYmBgoA4eAS7deci56/ewtrFh7ZZdlK9Ymb27ttOsbg3279+fhTUVQrzr1atXTJ8+Xb1si7u7Ox4eHlrlfvjhB9q0aUOVKlUoV64czZo1Y8aMGfj7ay/Krstvv/3GoEGDqFmzJu7u7sxNYgbdjRs3MmzYMBo2bKi+zvTp0/Hz83uv16mv58+f4+DgQL/+n7Jr505aN2/KquXLiIlJ+zjXiIgIRgwdwtK//+L+vXvMmjmT6lUq4ejoyJw5c1i8eDHbt2/n5Ttr6aaFoigcOniAi+fOYGFphdeTx2k+1507t3n65Al16tXTub/vgMGcOnGcs6dOamwPDw8nPCyUPI6Oab52TmJvb4+dnR0AxYoVw8vLi969e9OwYUMOHjxIQEAAkydPplGjRvj6+mZtZYUQgLR7+koxgPTx8dbaFhwcjI+PD5O+/IqNW7Yx/cefmfLt1wwcODBNlbhz5zb1atVg4vjx7Ny5k99++41Nmzbx9OlTvLy8sLCw4OzZs+zZs4fu3btTunRp5syZk6Y3b+2Kv+nepinHDuzEwMCATr3TvjD45fOncS7gim0SU5gDTJo6g+uXLzJ/1g/qbVGRkTzyvId9Loc0XzsnMzExwTl/fPBsY2vLsNGfsXjFP8yet4hOnToRJz1kQmQLT548Yffu3VhYWFAjmXS7kJAQOnXqxKxZs1i0aBHdunVj48aN9O3bl+jolLMqVq5cSUhISIrr4f3xxx9YWVkxfvx4lixZQv/+/dm7dy+dO3cmKCgo1a8vObq+h+7fv0/lypX5/ocfOXnWg+joGEYMG8qFC8lPNpOUvxYtpESxIoSFhbJj915m//4Hew8e4vGzF2zZsoUrV65w/vx5Fi9eTOnSpWnfvj179+7VeiCZkpCQEDq0+YRvJ3/F9k3r6db7U0qW0d17mJKIiAgO7NtHsxYtkgycHXLn4Y9Ff9O/Rydu37yh3n7rxnXs7O0/qDU1UyN//vyYmpoCUKFCBWbNmsW5c+dwdnbmm2++yeLaCSHg4273UiPFnIkBPbvwz/qNVK5SRZ1yExwRBYZGGBoaYmhoSOMmTYiJicHP35/giCj27N5Fw0aNdY6NSBAaGsrRI4fZtn0HB/bs5svvvqdrzz4YGRnxPCD8bUEDc42oXFEU9h8+yrIlfzH9hx+YOu0H+vbvr9cYunt3bjH315/YuOcwBVw1UyV1zXaa2LuT6ISHhfHo7jXMzMx54nmTilVqUKpcRaysrTWOsbG1o3u/wRw9ED8exDgujOnfTqRI0SJ80rpFqq6ZlITJfBKkR/ppWiQ12UJS3k37OnPmDIP7dCcyMpK9e/fSunXrDKnjh07SU0V6qlq1KmfOnAHg0KFDHDlyRGe5xOuB1qxZEwsLC6ZMmcKVK1eoWjX5CVsuXoyfmTMoKIgNGzYkWW7btm04OLx98FatWjWKFStGnz592L59O3369Eny2NQaPXI4a9Zt0GjHFEXBwsJC3fa169CB8+c8OHXWgzz5XLh39y5169fXmdKa0H4+ffKEvXt2s23bdl48f8amXQco7l4C60Tfl40aNaJRo0Zvjw8JYe3atUyePJkpU6awbNkyChYtrtdr+fnH6dja2bJ5+w5CojQzePQZNvGuK5cvExIczPatW1GpVLT65BPc3Ny1gsIGjZtStnxFnj55RPXK5bly+TLD+vfk19m/pep6ScmoGbqTmk05o+oxduxY1q9fD8Dvv//+wayzLURO9TG3e6mR4mPAyd9+R9dOHfD2ftsTaWxsTGBAAGdOn0ZRFPI5O/PNd1N4+OABjx4+pHvnTuTNZYfX06da54uJiWH61CmULFaEhfPmUbJ0WfYcPUnPvp+qxwBcPOfBj1O+4ZtJ/+PvRfM1ehpVKhV16tbl7xUr2bV3H38tWsD4sWNSfKFxcXHM+Xk6A0eM0Qoe08LM3JxmrdvTom0n2nftzYvnTzm6f5fOsnUbN+fOzWt0b1WfOpXKYmBgwIw5fxK4+1uiolIOXD8GX30Vvy6mu7u7xo8mIUTWeZ+eIvv/FkrXZ2yXvtd5txFNULZsWSA+7Sg9WZibM27MaI1txsbGnDp1ihfPnwMwasxYHHLn5oGnJwf276dV86aMHjFc5zCLx48e0f6T1tSrXZNLFy/Sd+Bg9h07TXH3EkB827h0yRK+mPA5X3/1Bdu3b9foBbWysmLw4MFcvHiRTz/9lHr16nHy339TfB3PvLxYuXw5P834JV2W3ipdpgwdOnVi8NBh1KhZiwP79nHj+jWdZft8Ooj/jRpOGXc3+vTozqQvv6LVJ23w2jBJ2j7Ax8eHhQsXolKpmDFjhgSPQmQDH3O7lxop1r5Jk6aUK1ee8+fe5v9aWVnRtUcPjh4+xDMvLwCGjRxF567dqF39bcTdqX1b7t+/h6IoeHt7s2nDej5p0Zzz585x+twFdu3bz6BhIylQMH42u9jYWH75YSoDe3fDzNyMgq6FuHb5EiVLlmTr1q1ajXKZsuXYe/AwR48c5vffZic5NvLlixcM6tERPz8fevYblPp3SQeVSkXhYm7kzedM3nzOtG7fFe83r4iKjNQqa2tnz4Z9J/nm5zlcuvuIPxb9jeGFxcQ8v0zokZy7FEp6CQsL48SJE0RGRtKmTRvMzbNm4gMhxPuJiYkhLCyMixcv8vvvv1OtWjXKly+fodc8e/YsAMWL69cbp69JX05m317NmURr1qxJsWLF2LZ1CxA/a+fGLdvwOHuGbyZ/CcDypX8zadIkAgICiI2N5datW/z88880aVifBo0acffBIxYt+ZtWbdpjYRmfPfLo4QPaf9Kadf+swSV/fmxt7Zg2bRpNmjTh0aNHGnVQqVQMGzaMVatWMbB/X65dvZLka9i3dw8N6tZm4hdf4uziki7vi7W1NSVLlcbGxoZatWtTr34DHj54oLNs246d2XP0JJu3b+f6nbsMHDyEN/tmEO51iTf7ZqRLfXKyJUuWEBMTg6IoNG/ePKurI4RIgw+p3UuNFEPk2LhYvL3fcN7Dg5vXrzNo6DDs7e05duQINWrWwiVhLJuNDXPm/smcuX8C8ak+M378gU9aNOflixfY2tpSrXoNevXpS49evXRG51s2rOXY4YPsPHRcHVQC3L/iwfDhw1m2bBkLFy7ExuHt4sDW1tZs3bGLT/v25vixYyxc/BeOefMC8b2OWzdvYuLn/6NbnwEMG/t5hs10ZmxigmPefLx88QzXwkW19ltaWVG6XEXMzc2Jiooi6uEpAKIeniYqKipDZtvLKdauXUvZsmWZOHEiXbp0yerqZCvR0dEYGRnplaKtKArR0dGZ9hT78uXLLFu6lMtXrhAUGEiuXLmoWq0agwcP1vhS++rLLzl8+DAe585lSr1E8nQ9sbSxsXnv2a7v3btHmzZt1H/Xr1+f2bNnZ+h4t4CAAKZPn06hQoVo1apVup7bx8cbMzMzfp05g3KlS9GhQ3wmjqenJx27dleXq1qtGsdPnVH/7f3mDSOGDMLFxYXw8HAKFSpE8+bNWbdxM1V0pDQpisLEsSOpU7sWk76arB4j9+3kr/jhhx+oWrUqkyZN4n//+5/Ge9myZUum/fAjbVu3YvznExg1Zqx6v7+/P9OnTmHv7t0sX7WGOnXrput7867CRYpw7OgRFEXR+T1V0LWQejhDVFQUYZ7xE+uEeZ78qNs+RVHYtWsXXbt2ZdKkSRn+g1OIj11GtH0fWruXGilGU/t37STA3x8jAxXfT/mOObNnsX33XvLkyQPG5gRHxgHxaTbvjnlTqVR8MflrJn01mdjY2CQDt1d+oQDEREczbsQQxvxvokbwCFClZm2OnjzN77NnUbduPS5eu46RkZG6wSpcpAgHjx6nf59eNKhTmyMelwkKDKB+tQoUKVqMRcv/oWoNzXUaE4/7SLxshz5jIhMfk9+1MDeuXCR/wUIYGhpqLdEB8e/Rs4M/AQm9pXGEHvkFkxaTdV4jpSU6srPAcM0JFt79fBzYv49O7dpSrlw5nj17xpYtW/Dy8qJPnz44OTlhaWnJypUrUalUNG3alAkTJlCiRInMfglZKjo6mvHjx1O4cGHGjRun88dZwphHRVGYM2cOjx894tdZszI8iFy9ejU//fgjFStWZNKkSTjlzctTLy9WrlhBl86d+eWXX2jarFnKJxKZrlevXlrbRo0axejRo3WU1p+rqyubNm0iMjKS27dvs3jxYgYMGMCKFSsyJKsgPDyckSNHEhgYyOrVq9M9EJn504/079ePqd/GT27SuHFjtmzZgqGhIbkSpRS9Ow7OqoCLeqIblUql/iGR1Ni6Q/v2cObkCTZu3qwOHgHCY+IYP+lLWrfvwIihQwgKCeX7Kd+p96tUKgb060u1ypVo27YtwQH+TJ7yPcuXLmX0iGH0+3QAp86dV6dUJSWlseuJv8cTs7W1RWVkypnzlyhdtrzOcyS8Pw92Twflv7RcJQ7/gzMp2nFqsufP7nTd1+TGRbZu3Zo9e/ZQo0YNAgMDWbduHfPnz+fXX3+laNGieHp6cujQIZycnOjXrx+jR4/W+FwIIdImI9q+D63dS40UQ+SmTZtiZ2fHv/+NtTAyNmbFsqVERkYSERmR4gVUKlWKvX53b12nX6fmVKpWk74Dh2jsi4yMpHOH9uzasZ2vvvmWhw8fYG9lgbWZCc55HNRpq0ZGRpQuXYYyZcsyqE83wsPDMTMzZ8znk7SCx4xStmIVjI2NObh7W5Kz5L37BBbiA4KEXsiPSYUKFXF1deXatWv4+fnRsGFD/vrrL1q0aEGBAgUIDQ1l69atHD16FFNTU2rWrMn+/fs/qqnOjYyMKFy4MP/88w+//fZbkinaCcHjurVrKVS4cIavJ3bp0iV+/uknGjZqxIqVK/nkk0+oUrUqHTt2ZO26dbiXKMEXX3yB13/p7SJ7WbNmDYcPH9b4r1+/fu99XlNTU8qWLUuVKlXo06cPCxYs4OrVq+oJQtJTREQEw4cP59atWyxevDhDHi4NHz6cxYsXU6lSJQCuXr3KiRMnAPSaYc/Q0DDZp9BxcXGs/Hsx/xs9nM8mfqn1FPzUyZM0b9wIO1s7vvl2CtO/n4qBgQEGBgYsXrxYXc7AwIDevXvz999/M//PudjZ2ZLLwYFfZv+WYvCYXj5p35GTx49x68b1JMtERUUReDdhzGb8+xJ499+Pru3r2bMnEJ+Cdvv2bdzd3QkJCaFFixYYGhpSsmRJrl69ysKFC1m2bBlt27bl4sWL77VUjBAiY9q+D63dS40Uf2na2tpy+vRp9u/fT+269TA1NWX+n38SGxvLw4eP+HHK15QsXYbQkBBKlXCnc7duFC5cJMUnZnFxccz+9Rd27t7Lw/t3GTvpOz7p1B0nByt1mcjISCaMGcH+vXtwdHSke89ezJrzO//7bCwQPytdt84dWb12PSYmJjRu2ozi7u78e/I0owb3Z9zEL9m+eSMtWrd9z7dJP4aGhjRu2ZZdW9bxyPMuLnm005Xe7Jvx9gmsWvK9kB8ix7x5efz4MWfPnuXZs2d06tQpyTTNefPmqRtYgGnTpjFhwoQP/qmsSqVi3LhxAPzzzz8AWj2R7waP3Xv04LPPPtMr3fV9/LV4MQYGBnzzzTdak3KYm5vz1Vdf0aN7d1asWMHXX3+t3nfr1i1+/PFHbt64gbW1NR06dmT06NEaAe+6tWtZt24dXl5eGBgYkNfJiXbt2jF4cNqX2xGanJycyJ8/49egLVWqFEZGRlpj+N5XZGQkI0aM4MqVKxoBXnqrX78+p0+f5sSJEzx48IA7d+4wefJkGjRoQOvmTXFyykehwoW5f+8e/xs/jjJlyuDq6prieb2ePmXa1Cl4eHhgb5+LzbvjZ2F999/t8aNH+XPu75w+dZLHjx9Tp97/2TvrsKjSLoD/hm7pBgFFRBEDEAHF7sDu7l7dXXfXXd1w11133bRz7e7uxE7EABtESkK6Yb4/XPgkZAYYGMD7ex4enXvfODNz55573veEN27u7tz8rxbZxIkTMTMzo0ePHjg6OmJmZsb27duZPGUKw0eOwtGxHr4XL9Cho+RM37LA0MiYPgMGsX3TBhwc61HUo0XI4fmFdZ84h5DD86v8LmRJGDJkCAMHDmTjxo00a9YMR0fHItuZm5tz/PhxvL29cXV1pX79+ixatEhIMicgUEoqQvdVdb1XEqTaqtDQ0KBXr1706tXr3Ws1VWbPns2gIUMZMWo0jwMCePHyOf/89Se7duwgMSmRDh07sfDPv9AuUNYil7NnTrN54wbm/fonTVybov3f6uv7ri9x6Uncu3OTyZMnM3XqVLRUlflk6hRCXwUTGhpK3bp1+eGHHzDQ0SIhNZ1GjRtz+9ZNRk+YzC8/zGXtymUfLCUii1IXBcfIfd2kYQMSEwvXqCxq9/Hdv2IyXlzhbUKyVNvRBV1n5VW2oyAlKduRS3E1dnLx9/fH2dmZx48fo6yszIwZM2jSpAlr166Vqn9VJdc9dfonn5AjFrN161ZyxOI8I1EexmN2djY3btygXr16mPwXa1yQhg0bYmBoyNUrV/KOZWRkMG3qVIYMHcqkSZO4dOkSa1avJjEhgW+/e+eWd+TIEebPn8/48eNxdXMjJyeHoKAg3rx5U67vSaB8yN01kcaokpaMjAwmT57MrVu3WLFiBU2bNpXZ2EVhb2+fF8+bnJyMp6cnixYt4tSpUyQmJhISEsKroJcMHjwYNTU1LCwsmDBhAhMmTPjgmHO/mU2NGrqs27CRxk2aFPmbff06BF1dXSZOnoKLqytKSkrsO3gYD9cmLFiwgGnTpuHj48M///zD9OnTadu2LUePHmXP/oO08GyGlqYWL1+8KHJ+Sffp0mJoZIyWtjYx0VHoa+V/SCu8+ygmV/fFP/YlNjEZfe3CIR/yoLzKg7yPoqIio0aNktju3LlzfPvttwwYMICTJ08yatQo2rVrxx9//IGurm65yykgIFAyqoPek5ZSaZKvvvqK27dv08OnJ17Nm+PVvDkAP/28AIAXz58zfcpk1q1dw/QZM4scw9TUlLdv36KlrZNnPBZEV1cXvweP8t3Q169fz59//sn+/fvx8fFhzJgxHDp6HJFIhKqqKs08PLl76yajxk+iX7eOqBdTi7K8CA8LxdDYuNDx5HN/vLcCW9AdMYfsS/9Am1nlLl9VISsri/Pnz3Pr1i0GDRqU94Pcv38/u3btwsfHhwULFkiliKsyIpGIGTNmAO926ABmzJhR4cYjvEvOkZqaKnEVz8LcnCdPnuS9Tk9PZ/yECQwYMAAALy8v0lJT2blzJ+MnTMDU1JS7d+5gX6cO06b/vyyPl5dX+bwRAak5fvw4APfvv3NPvHnzJm/fvkVdXZ2WLVty69YtVq5cSfv27bG0tCQrK4uHDx+yfv16rK2t8yXGun79OsOHDy8Ud3Ljxg1iY2NJS3sXFvHs2bO8eVu2bJkXSzJ9+nQuXbrElClT0NDQwM/PL28MfX19rK2ty+1z0NTUZO/evQwcOBBvb++8xb7p/12vWVlZnD17lr59+9KjRw/MzMyKHMe6Zk2uX71Gvfr1P/ibHTJsOEOGDc93rHP7tqSkpNC5c2diYmI4cOBA3j2xTp06XLhwgZSUZJo0ceHM6VNEVfDCS2JCAsnJyUXGX4cc+eU93Vd4FzLq5G/o9/l4diElER0dzbFjx0hISGDy5MkoKCjQs2dP2rRpwxdffIG7uztHjx6lVq3CCfsEBATKjqD3JFPqpchdu3Z9MCmAXa1aLFi4kO5dOjNk2HA0NTVp4eGOW1N3lq18F7vh1MCZJctXMGXMcA6cPIeJadHKtiBubm5YWlrS4b8EHVZWVgwfORJ495B67eoVLG3tsbG1w7lRYzp27V7MaLJHLBbz4vlTOnf3KXRO0cAGnl/8YF+RnnwugspGTk4O9+7d4+7du2hoaDBp0iRq1KiRd14kEtG/f3+cnZ3p0qULQUFBfP/99xViQMmLgkZkriFZkcZjSRBDIZkKZgvr0qULO3bs4M7t23Tp2hVnZ2e2bdvG999/T/v27XF2dv6gB4NAxfHJJ5/ke7148WIALCwsOHv2LKampmhpabFixQpiYmLIzs7G0tKS3r17M27cOKm+w8WLF3PjvSy9x48fz1OkZ86cyVuwOHfuHPDOrX3p0qX5xujVqxcLFiwo/RuVglq1anHz5s0izykpKdGhQwcmTJjA119/zbp167h06RItWrTgzp072NdzAuC7H35k2OCBfPn5Z/y9eInUv13vlq1QV1XJi2v08fm/jgkMDCQ2NhYtLW36DRhAZGQEXbtXTOhGLiGvgqlpY4uefuGaZepGtsQHnPtgXxUDm3KUrOoQHx+Pv78/165dw9vbGxcXl3xxtDo6OqxYsYLly5fTokUL9u3bh7u7uxwlFhCongh6TzLllm2jpo0tvfv0ZWDfPnh6eREYEFAouUf3Hj7c839I/x6d2X34BEbGRbvEvY+zszPu7u78/vvvzJ07F7FYzJHDh2jcuAnh4eFoamrRsk07AI6eu1wu7604UpKTUVVVK3IVVsd1EFYthuU7FvY2taJEqzLcuXOHmzdv4uLigqur6wcTUdStW5erV6/So0cPYmNjWbRoUaUzpGRJrhGZazwCFW486unpoaamxuvXr4ttFxYWhqmpad5rVVXVQjdUA0ND4F1KaoAePj5kZmaye/du9uzejUgkwsXFhRkzZwop7uXI48ePiz1vaWnJX3/9JdVY7u7uRY63adMmmcgib7Kysvj8889p3LgxM2bMyFu9vnr1ap4BqaioyLKVq/Hp2pmvv/qSX379TaqxP5n5KR5uLkyYMIHatWsTERHBzZs36dixI5cuXaJ9+/ZYWVsXuXtZESQmJKDz3kLf+5g3H4558//L9KHF548ZsVjMzp07MTAwYMCAAcXuKkyaNAlra2u6d+/O3r17af6fF5iAgIBsEPSeZMpUqERLVbnIv1VLF2NuZEDf3r0YMWo0586e4es5c4mOjubRwwf5xpj22Rd4tWjJ8kUf/iKS0jPz/f0w/xf++vtv7gc8Jik9k3t377L+37Vc8r1IC2/vIseooa6U7688qKGuhKpCNjW01D84R3xqVr6/xJSMfH8F0dZQKfRXUpLTMvP9VRQFrwtpiIqK4ty5c3Tv3p2mTZtKrKVjYmLCyZMnuXDhAl999ZUsxJYb2Tk5+f4Kkhvz+D5///33B7OzlgeKioo0bdqUhw8fEhkZWWSbe35+xERH4+HpmXcsPT2dxMTEfO1ioqMB8sXy9Onbl23bt3Pj5k0WL15MXFwc48aOJT4+XvZvRkBAhmRlZdGwYUMaNWrEhQsX0NTU5PXr1/z888+sW7cOTRWlvHuhpYkRZ06fZveO7bx8Eljk/bHg/dPetiazZs3ik08+QSwW8+bNG27fvs3vv/+OsrIydevW/aBOLul9+H2k0R811JVQJgs9bQ2p9Kss5KpuXLlyhaysLHr27CmVS1rXrl3ZvHkzvXv35sp78eYCAgICFUG5VLo8ffo0APPnz2fo8OFcvHKN2XPmMnrMWNb/+29eu6tXrtCzYxsO7N2NsrL0hlFNGxu+njOXgf36cOXyJXT19OjTvz+jx47DTs4xATo6OqSnp3Pk8CHCQovfpREoTEJCAiKRCOMiYkg/RI0aNbhw4QIHDx5k8+bN5Sid/CiYMOfa9esMHDSI7du2VbgROXbcOHJycvjpxx/JKWDopqWl8fMvv6Cmpsbw4fl3QY4ePVrotaKiIk1cXArNoa6uTstWrRgxciRJSUmEhobK/o0ICMiQqKgoHj16REREBHFxccyfP5/Hjx/z5ZdfEhsbmy9u5bvvvqN169bExcV9sORTUcyYMYPY2FjmzZvHrVu3aNq0Kb1792bYsGEfTBhXUZiamXLP7y6+Fy7kxfQISE9ERAQ2NjYlKkDeoUMH1q1bR79+/YiKiipH6QQEBATyUy5bcStWrKBz586FdhwaNWnCt998zYplSwkMCODggf18NnsuHl4tsKttX6I5JkyaTMCjR3z2ySes27QZB4fKUWReWVmZEaNG8+jhQ44e3M/oCZNLpBA+dmrVqoW6ujrBwcHUrl1bavdMPT09/v77b+bNm8fQoUPLWcqK5UPZVotKrFMR7qyurq588cUX/PbbbwwfPpxBgwZhYmJCSEgIG9av5+XLl/z622/5VtFVVVVZtXIlycnJ1HVw4NLly+zcuZOBAwfmubp+O3cuaurqNG7cGCNDQyIiI1m9ahVmZmbUrl0beBd0PnLECCZPmcLUqVPL/b0KCEiLmZkZO3fupH///ty+fRs3t3dlnBQUFGjUqBFLly7F3t6ea9eu4efnx/bt27Gzs8PIyEjqOVRVVdm3bx+urq60aNGCrVu3Vhq3fcd69VFTU+f6tavkXM2hZevW8hapSuHh4cHWrVvp2LFjiZ4Zunbtire3NwcOHGDs2LHlKKGAgIDA/ykXA9La2pqHDx8WOu7TtQu+l67w4GEAtrVqs2XPITzcGpdqDpFIxO9//c3wIYP4/ts5bN+1J0+RSuNCU7BNfGr+Ir1lKY2hp6eHV/PmPAx8wv17d2nY2IXMzEzSUlPJQjEve19GRgYxoc9ITkrG2sYGUzPzUs9ZHAXfS1GfT8H3L+kzLNi+KArGuUjrpmRubs7WrVtRUlJiwoQJGP4XKydpDkVVdTKysko9b2WkuFId8jQiR4wcSX0nJzasX88vP/9MQmIierq6NHV359fffsPBwSFfexUVFZYsXcr8+fNZvGgRWtrajBk7Ni+DJYCLiwv79+/n2NGjJCQkoK+vT9OmTZk6bZpU5W0EBORNv379ivQG+OGHH1iyZAlv3ryhb9++rF27Fn19/XxtpL1PmZqacvLkSdq1a8e+ffvo3bt3mWSWdO+XRhfmyt7A0QFzY0PWrl2Lt5cHWlpapKSkEJGUhIaGRp5hlJYYz+PHj1FVVcXR0RFNzcpRwkOe6OjokJOTw7x586hdu3aJFkK1tbVJScvIp/uqst4TEBCo/JRbEp2iUFFR4cu5skvVrayszMYt22jbsgWbNmzIy8ZaWWjdrgMH9+7miu9FMjLSUVNTJyExGQ1NTVRVVUlMiMfOzg6dGjU4vH8vmlpamJiaoamphVszj49257Jnz544OTmxd+/eQoXqiyMwIAAjIyPS09NRVVUtRwkrBmnqPMp7J9LV1VViu59/+SXv/8W5GPv07IlPz57FjtW0aVMeBQRILaOAQGXAycmJFStWyGy8evXqsX//frp3706LFi1KtItZ3hgYGODl5ZWXLVAkEpGZIyYzIwNdPT1ycnIQZ2VSr149UlNTOXPmDLVq1UJTUxMHBwfs7Ozk/A7kg5aWFtOmTePy5cuEhIRI3U8sFvPo0SO8W7chMzOzyAR+AgICArKmQg3I8kBZWZnf/viLwQP60alzZ4w/UNxcHhibmDJ6wmQSExPQ1tZBQUGBxJR04uPiyMzMQEtbGyN9XQC8W7clOOglb2NiePI4gMzMDJq3/HhcgMRiMWFhYbx69Yrnz58THR1Np06d8lLWS8OC+T8RFfUGE31dmro3w8PTk1lfzUZLVfoxKhNZWVkEvXwpsVTH+0Zk0MuXZGVlCQ8RAgLVnKZNm9KzZ08+//xzNmzYIG9x8uHl5UWTJk0Qi8VoaGiQlJ5JRkYGb2NjUVBQwNrcNG9xMCkpiWfPnpGUlMTu3bsZPnx4vgzO1Z3s7GwePnxIfHw8N2/exNjYmO7dpS8/dvnyZS5fvszDhw+ZPnUKnl5eDBg4iGGDB5Wj1AICAh87FW5AliYDqiRXjGYeHvTrP4CO7dqwdcdOHOvVlzhmwfIZ0rjpSHIF/ZCcepr/d8FMTstEr4DrErzLbmlXqzbUqo1jfSe2blyHkbEJDo71JMpVUopyPy2PzLTSutA8f/6c3bt3o6CggIODA7a2tgwaNKhEu49v374lNPQ13Xr04M9la7l14xo7Nm+kZ/funDpxrErWE1RWVub3P/5ASUlJ4o5irhEpGI/VHy0lTVQp+Q57ulJ6OUgjIE/+/PNP6tSpw7Bhw9iwYUMhr5WiymU8Ds2f0dhUv3zcR3OLYOeioqKCyX+G4fv3di0tLRo1agS8y8i8fft2xo8fL/ekQBXBoUOH8PPzw8zMDCMjI/r06UPNmjWl6pv73Z46+65G3MLFy3Fu2IRbN64x5+uviXkTmbewKCBQHRB0X+Wiyu9A5jJ/wa/o6Ojw2y+/sG5T1c7EqaGpSfdefdizYxv6BgZS1cesyvj7+9O8eXO8vLxKPUb8f7UEf/z5FzQ0NfFu3ZbmLVvzzecz8PLyYv/+/XJzjVJQUCi1a1FJ+ohEIsF4lAOZmZmIPlJ3cwH5oqmpyd27d+nQoQOnTp2iY8eO8hapTDg5OREeHs6uXbsYOnRoiRYRqxrZ2dncuXOHWbNmlclYPnHsGACdu/kAYGFlhWvTZgzt043g4GAWLlxYqAa3gICAQFmpNk89SkpK2Faj2AkTUzNat+vAgT27SElOlrpfZmYmmZlVq0iztbU1ERERZRpj88Z3Lly2tv+/BhQUFPj5j38YNWoUXbp04eXLl2Wao7SYmZkRIMTtVVsCAgIwNTWTtxgCHynGxsbo6elVmmysZaVt27YoKipy/PjxEvVLS0srVFaoMqOoqIilpWWZdd/1a1dp2qxZvmMWVlZcv36dO3fu8OWXX5KUlFSmOQQEBAQKUm2WpTIzM5kwdgw///qbvEWRGY71nYiNiebgvt306NUXRSUlnj0JJCMjAyMjE1TVVMnJySEpMZG4uDjeRIbz/OlTsrOzMDAwpFXbDlhKUZBY3mhpaRUq+VJSpn4yg+kzP/1vxfr/Lrq5rp2RkZE0a9YMb29vNmzYUKHuUVOmTGHWrFksXLgQR0dHYZewmpCZmUlAQABffPEFU6fPkLc4Ah8pW7Zs4fz582z7L4lWVUdBQSEvU+3169dp3LgxcXFxBAUFoaamhpGREQoKCmRkZBAXF0dMTAxBQUGEhoaioKBAnTp16Nq1K2pqavJ+KxLR0tIiISGhTGM8evIMSysrEtLy1xPV09Nj06ZNjB07FktLSxYtWlSoNq+AgIBAaakWBqSWqjJiFSVsbGxwrFN0PcmCcX+JKRn5XpelbEcuRcWbFMRcL39ciKRyGJ4tWnLkwD6WL/4LJSUlatrYoampScDDB2RmZCASidDS1qFGjRpYWFrh1aIVWtraPPD349zpEwwbPU4mcacF35usYibfvn3L0aNHaVZgBbWk6Orq5v2/oGzJGVnM+eFHZn09h8H9+7F42XLGjp+AiopKsav2YrE473x6ejppaWkoKSmhrq4uMUPu+59fhw4dAJg7dy7h4eEfXCUvKv2/QOVFpKCAqakZU6fPoG379vIWR+AjxdraGnNz80Ixh6VFmhJNJaWkJSXU1NQYNGgQK1eu5OTJk6ipqeHo6EhqaiqXL19GLBajrKyMrq4u+vr6NGvWjNq1a5OZmcmePXvw8/Mrs04pb27dusXr169p27Ztmcax+sAicWhcKoo6RqzbeYCnjwPp2aktjTxboa1TI68sUlF6PFcP5eq+3MVdZWVl1NTUhPIgAgICQDUxIOHdzW7Tpk0MHDgQ/4D21aZunEgkolvP3nTK6kFychI1auhK1c/YxLTMu3oVwa5du3B1dcXDw6Pc51JVVaVrt+7M/GQa3835BgUFBcwtLLCwsMSxXj2aeXjQpl17zp05zTdffUVERDhGxsZoaWnxOiQEFRUVMjMz361yOzhQt64jTs7OtPBuSaPGjYs1Rjt06JBnSH4IaRYgBAQEBN6nRYsWdO7cmfnz5/Pbb9XHA0dfX5+vvvqKpKQkVFRUpCrNpKSkhL6+fqXXfW/evOH48eNMmTKlRJnGS4u9Q11sa9XCo1E90lJT0dXTx8zcnJo1rWnSxIXm3i1xdXNjyoTxHDt6hPT0dCytrEhKSiIxIQFFRUXS09PRNzCgfr161KtXj6ZNm9K2bVvMzAT3fQGBj5FqY0ACNG/enFq1anH44AF69+0nb3FkipKSktTGY2ZmJgf27KJN+8qfUMHMzIzg4GA8PT0rJGGCkrIyOTk5nPO9hI2tHWFhoYSGvObBg/vs3LGd6VMmk5iYyOJlKxg8dChvIiNJTEzArlbtvAeY+Ph4HgcGEhgQgN/dO6xdtQpTMzOcGjSgew8fWrVpU+7vQ0BAQCCXr7/+miZNmjB//vxq5SIvEolKlEE7MDCQZ8+eMWrUqHKUquxoaGigqanJq1evKsSABPC7fQuAoKgE4t7GEh4WSkx4CDdv3uCrWZ/hd/fuu/Oh4aipqRES8gpNDU0srawQiUSIxWJCX78m+PlTHjx4wP79+/nkk0/o2bMnhoaGzJgxQzAmBQQ+IircgJTkGlla9wixWMzGjRt5+PAhdR0dSy2fLCkPVyBpeBsZgrmJEe4uDYuUIzlN8k5XHdP830NpvhdpvtuuXbuyfft2Dh48SM+ePcs9EcSlixcA8HBzBcDMUB8X5wb06NoZvvyC1NRU7OzssLOzQ0VFBUsrq0Jj1KhRgzbezWnj3RyAly9fYmdnR+1adnwydTKOjo58+c1c6jo65nMrE1x/BAQEZM3bt2/59ttvadCgQamybRbUB7II55AX/v7+tGzZstKXbdLS0mLo0KGsX78eTU1NateuXeYxpQkrGTRoEDUNtalpqE1D+5okpWfi06s3AHdu36aNd3MMDAwAqFs3/3OUSCTC0soKSysrvFq1YcLU6YwcNoR///2XseMn4NSgAZMmT2HEqNEYm5jkLQgLek9AoHpSbbKw7tu3j9GjR7N//37q1XeStzhyJTw0DEMjQ8kNKwEKCgr069ePmJgYTp8+Xe7zxcTE4Orq+sHz6urqhIeH492qldRjbt78rmzM2rVrefToEW3btmXUsKFYm5nQsW0bli5eRGQZM+0JCAgIFMXw4cN5/Pgxx44dqzaZWEtDdnY2ERERGBkZyVsUqTAyMmLAgAHs3buX0NDQcp0rPv5d7c+RI0d+sE0TFxfiklM/eL4o9uzahZm5OX8tWszFy1d5+uQJzT3csbU0Z9yokRw8sJ/s7GzJAwkICFQ5qo0B2aNHD3r37s2JEyfkLYpcefHsKffu+eHW1F3eokiNsrIygwcP5vHjx1y7di3fOVkqn6ioKLyat8DX11dmYyYmJvLtt9/i4uKCkpISqqqqzJw5E7+HjwiJeMOMzz7D/9492ni3ICwsTGbzCggICAD89ddfBAUFlbkcRFVn7969mJmZVSk3Smtra3x8fNi2bRsxMTF5x8VisUxLkty+eZPtu/dIjMMvCcePHgFg5559ANS0sWHtho08Dw7h2q07NG3WjN9++ZlJkyYJCeIEBKohco+BlJV7g5KSEsOGDWPlypVSjfkkOb/bjql+/vNFuXmW1LWnKJcSWbi1Fhz3/TGDg17i4uqW54YiLQWzw8qCkny3Ghoaed/f7t278fDwIDY2ltDQUJo1a0bHjh2LXF0vyRwZGmrkZGUQGhpKrVq1yix7eno6GzZsYOfOnfTt27dQfy1VZfr16km/Xj357bff8PT0YtuuXTRwbijVnEJSHQEBAUnUrl2bFi1a4OfnJ5UrZEIh3aeZ73VB3VdQN1RWl8Tnz58zderUKrcL6+DgQHJyMgsXLsTc3BwTExNev35NWloaQ4cOpWbNmmWeIys7i4f37yPu3Svf5yPpuyxKB2mpKvP06VNePH3CnTt3aNy4caE2dexsqDN9GmNHjaRN27YMHDSYJStW5oV0VNZrSEBAQHqqzQ4kUOUUR3mgrq5BRnq6vMUoFTVq1GDy5Ml5mfRatmzJzJkzef78Obdv3y7VmGKxmKCgIPz9/bl9+za6urqYmprKRN4TJ05gbW1Nv379JF57X3zxBd//+CPdu3Rmw7p1ZGXJJz5WQECg+pGb5ORjRl1dnfQqqvuaNGlCt27dSEpKwtHRkQEDBtCnTx+2bdtGamrJ3EpzSU9PJzAwgAf3/QkLDcO5USOZPCOlpKRw4MABBgwYUKTx+D7a2tocOXEKgA5tWvHgvn+Z5xcQEKgcVCsD0tDQkOjoaHmLIVcyMtJRrsIlTDQ1Nalbty7GxsbUqVOHGjVqULNmzVK5sqanp7N+/XoOHjzI06dPSU5OpkePHmhqakruLIHs7Gzu379P69atpe7Tt/8ADh45ysrlS3G0r5UXlyIgICBQFgwMDATdl5FRpct3OTk5IRaLcXZ2xtLSkjp16pCdnS2x5nBRPH/+jBXLlnLn1i2eP3+OuYU53i1byUTOp0+fYmpqKvXOqIaGBmvWb2D4yFF4uLnyzeyvZCKHgICAfKlWBqSDgwNPnz7lzZs38hZFbsTHxaGnpytvMUpFXFwcu3fvJi0tDXt7+7zjsbGx6OvrF9OzaJ49e0ZycjJTpkyhT58+9OzZEzs7O5nImpGRgYKCQomNUeeGjejTrz8R4eF0bNuaN5GRMpFHQEDg46VJkyacOnVK3mLIjfT0dDIyMtDS0pK3KKUiMDCQjRs34u3tnXesJPUvC3Lrxg1cXFwZPHQYPj170aFjJzQ0NGQia3Jycon1sUgkYtyEiQAs+utPvvpKMCIFBKo6co+BlCX6+vpoaWkRHx+PsbFxvnMFYw8tjIp/8E9MySh0rGAMZMExpUmjLQuKmzcjJRFd3YqpK1VWcuMrcnJyyM7O5t/1G2js3AAfH5+8leTQ0FAiIiKwsLDI1yeX4mIpatWqxe7du8tFdjU1NbS1tYmIiMDc3FyqPrmyfvrJdGZMm8qc776nbm073Jq6s//wESEuREAq9JX10VAoecxyimLpXOEEKj916tRh06ZN0rW10i32fCHdVyAG8kNxcfIkLi4OXV3dKhXGIhaLEYvFBAcHc+TIEXr06JFv4fTy5cv5YlpLEhNvY2tHQmx0mb+XovpbW1vj5+dXqjFev36NmpoazZo1Y9WqVcyePZtZs2aVSUaBjwdB91UuqpUBmZiYSFRUlMQEKdUZJSUl4uPjMP/P4KrMJCQkcP3aVW5ev46CggJOzs60bt0630NAdHQ0KSkprFy5kjp16uDh3UpqN6WnT59iZ2eXV49KluTKWBr3otwaZZMmT2HJP39z5fIlTh4/xpCBA2Qqo4CAwMfBw4cPqV+/vrzFkBvKysokJSWRmZmJsnLlX4gLDg7mxIkThIWFoaamRu/evfMZjwAREREEBwfz5s0bvLy8sLF3kHr858+e4tHUTdZi51FanZq7EOzl5cWGDRv45ZdfmDFjRpX4zgQEBPJTbQzIlJQUmjdvTo8ePUr1UF9dcKhbl+DgYBzryeZhQiwW8+DBA0xNTWVWX0ssFhMaGsrOPXsxMzdn+sxP0dDQQEFBodAKcsOGDXFyciI2NpZ9+/bhd/cuTd2lK1Hy6NEj6tWrJxOZi0JHR4f4+PhSJ+V5/fo1AN/+MI91a9dy+MB+unbtypAhQ6rUSrqAgID8uHXrFtOnT/+oXVj19fXR0dEhKipKao8QSSQmJvLs2TOcnJxkZuBkZGTw4MEDzpw5Q6tWrRg7diwikajI+/3IkSPJyMjg1atXbNmyhSkzPs3LYlocycnJhIWF4eAgvcFZEnL1nlgsLrWeev36Nd7e3qSkpDBz5kwSExP55ptvqFOnjoylFRAQKC+qjQF55coV/P39mThxolSuHgVTkxd0C9XWKHswvjQlOwqmTC/oJltSt1htbS2CXr4otk1RJTs+5OqSkpLCnj17AGjZsiUikQgtLS0aN24s1SpkTEwMt27deudepKxCUFAQL54/R1lZmWZurnh6ekpUQoqKihgZGaGjo4OakoJUbjmhoaG8fv2aXr16SWxbWiwtLXn8+HGpFXX71i3JyckhOjqaed99i42NLX737hH45ClffTNHxtIKCAhUR77++msAvL29C+m+onSQRJ2iX/YkY/JAW1ubt2/fysyAfPDgASdOnMDPzw9bW1sAbGxssLGxkar/w4cPef36Nebm5qSkpPD8+XOCg4OxsrJi4MCBWFlZFdtfJBKhqqqKhYUFSkpKEhPJ5erFi2eu0MzNtdwSCuno6KCoqEhISAjW1talGuPUqVOIRCJ+//13Zs2aRZcuXWjevDnnzp37qHfSBQSqEtVmq65du3Z07NiRyZMns2fXTnmLIzdq29chNDSUxMREmYynqalJ27Zt8x178OABR48eJTk5mcTERFJTU8nIyMg3p1gsZv/+/axZswZFRUXevHmD/717GBoaMWDQYMZPnISXl1eJVjBbtWrFlStXSE5Oltg2JSUFPT29cnWNcXBw4Pnz56Uu+Jy78pyb9GnDlq0cOnqcZUsWE/rf7qSAgIBAcWzevBl4Z0ClpKTIWRr54ezszN27d2U2nqurK/r6+mRkvIsJzcnJYdeuXbx48YLk5GTi4+PJyckhISGBzMz/G+7R0dGsWLGC8+fPo66uzsOHDwkPD6dhw4bMmDGDoUOHSjQe30dDQwNXV1fOnzsrVfukpCRMTExK9mZLSN26dXn27Fmp+4tEIrKzs0lISADg8OHD/PDDD3z66aeyElFAQKCcqTY7kADffvstJ06cYOSwoTy4f5/v5v0ob5EqHBUVFWrVrk1gQABuTZvKZEwPDw+ePHlCYmIiXbt2pWnTpmzcuJGlS5eioKBAZmZmnjtL9+7dcXJyIj4+nqdPnzJlypS8zHglSQJQFKampujp6fHgwQPcJbix2tjYcPr0aa5fv06zZs3KNO+HMDc3R19fn/PnzxeK3ZSW6OhoDh06REhICLpG75R+1+492Ld3D1OnfyJrkQUEBKoZxsbGzJo1i4ULF2Kir8tt//vUqVM+7ouVGQcHB44cOUJKSopMMo4qKyvTu3dvtm3bhpmZGQ4ODpiamrJnz548fZeVlYVIJEJDQ4NRo0ahra3N/fv3MTc3p0uXLigpyeYRy8PDg18X/k679h1QU1Mrtq2bmxu7d+/GxsYGPb3ySajn7u7Ov//+S7169UodwnH58mXs7OxITU1FJBIxYsQIZs+eTVRUlMzCZQQEBMqPamVAenp6EhYWhrm5OW3btZe3OHLDza0pO7Zvw9DQEFsZlK1QUlJi6NCh7Nu3jw0bNjBgwAAmTpyYdz49PZ2cnBwSExPZuHEjGRkZGBoaoqenJ9O06oGBgcTFxeHk5CSxrbKyMgMHDmTlypU0adKkXNx5RCIRvXv3ZtOmTWhqako0aguSlpbG5s2badeuHZaWlnkGdu++ffn5px8FA1JAQEAqfvvtN3R1dfnmm2+oVau25A7VEFVVVRo3bsz27dsZNGiQVPGCkrC0tGTQoEHs3LmTyMhIWrRokS+uPiEhAS0tLS5fvsz69esZPHgwiYmJmJuby8x4zMnJ4cSJEzRs3Fii8Qhga2tL06ZNuXjxIj4+PjKRoSCGhoZ069aNjRs3MnHiRHR0dErUPzAwkFu3bjFy5Mi896ShoUGnTp3Ys2dPvucLAQGBykm1cWHNZefOnbRs044Gbp7Ep2bl/UmihrpSvj9NNeVCf5J4fz5p5oR38Yjv/xWUozSYW1jQq3cfDuzfR1JSUqExtVSVC/1JQlVVlQEDBmBpacmBAwcKnVNXV0ejhh79Bg/l5JmzbN62HQtrG5LSM/P+ysKDBw84fPgw7Tp3QaykItWYenp61K9fn/Xr15eba5e2tjb9+vXj5MmTxMfHl6jv7du3MTY2xsXFBSDvu+jWqSN3bt0qMualpN+bgIBA9ScrK4t9+/axZPV6kjLEJdJBBZGkg0qjPyqKDh06YGhoyPHjx2U2pqWlJePGjePBgwcEBATkO6ejo4OCggItWrSgWbNmrF27lsDAwFLHBhbF9u3bSUlJoU3bdvmOF/cdNGnShJcvX3LhwgWZyVGQevXq0bhxYw4ePFhsu/efAZLSM0lITefYyVN4t2mLiqZ2vnMtWrXh4qXL5SazgICA7KhWO5BRUVHMmTOHI2cvyVsUuWNja4uzc0NOnThOrz59ZTKmSCTCycmJQ4cOfbCNgYEBo8aMJTkpCaMCtTjLQlJSEvXq1Svx6nq3bt3YunUrN27cwNzcHF1d3UI1QsuKvr4+ysrKJcr+m5SUxOXLlxkzZkwh11dlZWW0tbVJSEgoNxckAQFpiIiIYM2aNTx8+JDAwEBSUlLYuHFjod32/fv3c+7cOR4+fEhISAhNmzaVui7hy5cv2b59O9evXyckJAQlJSVq1arFmDFjCsVfL168mCVLlhQaw9DQkMuXP94Hz6VLl6Kjo0OP3rK511dVFBQU6NSpE8uWLePZs2f56iiWBW1tbWxsbIrNLeDm5oaNjU1ejWBZkZCQQI8ePUq0o6qtrc3YsWNZuHAhdnZ2JCUlYWdnh6qqqszkgndhHBERESXqc+f2bTQ0NHCo61jonJ6+HgkJJVuIFRCQNYLek45qY0CKxWJ8fHzw8fGhlr2QCjo7O5uk5CSJmdvKA01NTTQ1ZZvJLy4urlQJcUQiEe7u7vj6+vLo0SMyMzP55BPZuoZeunSJ2rVrS/3QkJ2dzaFDh2jcuDEGBgZFttHV1SU2NkYwIAXkSm6R83r16tGsWTPOni06kceBAweIiYnBzc2N1NSSFW2+fPlynrtdgwYNyMrK4sCBA0yePJnZs2czcuTIQn3WrVuXL87tY64j9/jxY2bMmMHJkyc/6hJWuSQkJCAWi8nKKt0ObFmQdexeZmYmSUlJpbq+tbS0aNGiBYcOHSIpKQlPT0+aN28uM9kyMjJKnGMgKiqKS74XGTS46FJVujV0iY2JlZmMAgKlQdB70lElDciCrosayor8+++/JCUlsWHDBiISMwr1Kak7qDTtS+MiVFI5SuMelJ6ezt7dO1FWVmbwgP6oqEgeQ1oXU5GKGpHRMcQlp0qM8Sj4+UTE5s+e6mBRo1Cfot5vVlYW9+7dY+LEiaX6PGrXrk3t2rVJSUnhzz//JDk5WWYGblxcHNeuXWPy5MlS9zl37hw5OTm0bt36g20aN27MzevXJe64Fvw8yuoqLCDwPm5ubly9ehWA06dPf1CRrl27Ns94KWncVZcuXQrVPm3ZsiVRUVEsX768SEXq5ORU4rir6kDB37dCdiZTpkxh4cKFtG/fntC4/A8xH3JBra6EhISwfft22rVrR926dWU6tra2NjExMTIdUxKPHz/GxMSk1IZpu3btaNeuHdeuXSM4OFimsl27dg1tbW2JtZZzr7fs7Gz27dxO9y6dMflA4p36DRrw4L4/aWlpUsV7CgiUB4Lek45qsVy5YMECpk6dytKlS6WqTVidyd1q19PTY8CAATJPHqOtrY2xsQlPHgfKdNziCAoKwtjYmBo1ChucJUFDQwMrKytey7BEhrKyMmKxWOrdR7FYzOPHj2nevHmxBriPjw979+yWlZgCAqVC2h2tsux86evrF7kb0aBBA+Li4khLSyv12NWdOnXqkJaWxrRp0+Qtitx5+vQp27Zto1evXjRu3Fjm4zs5OfHgwYO8sh4VQWBgoFRJ4yTh6OhIcHAwYrFYBlK9Q0FBoUSuuhERESgqKtKwYcMPtjEwMMC5YSOOHj0qCxEFBEqFoPeko8obkDk5Ody+fZvx48fTokULeYsjd1auXEloaCgNGjQoN3emZp4eXPL1LXX9w5ISExMjs7hFQ0NDnj59KpOx4J2LUUncCHKTMEhKstC3b1+uXblCeFhYmeQTEChIREQEr1+/zveXW4+tsiAWi7l+/TpWVlZF7kR06dIFR0dHmjdvzpw5cyp8Z6gyEPLqFYmJiSxatEjmsW1Vjbdv37JlyxasrKzKrQainp4etra23Lhxo1zGLwpZ6T4dHR0yMjIIk6E+ycrKKpHuu3DhAq6urhLbDR85krVr15ZFNAGBIqnsuq+q6b0q6cKqpapMSEgIqqqqtG3blpycnHw3nNJmL30fadxTk9OKdxeUJnOrrN2JPD09SUlJYcuWLQwePBhbW1up+pXEFbJWrdocOnKc56/CMDb5vytKwc8jNCq/y+qdf2/nH2ha4diJgm6tWqrKpKamyiQlO7xzEVi5ciXOzs4lzpSXu3r7/qrRtWvXcHCQruaaWCzm4sWLtG/fXmLNSC0tLfr168fOrZv55ptvpJZRcGmt/uiq6aKVU/LyOCoKSQAMGTKk0LmpU6dWql2sDRs28ODBA37++ed8x62srPj0009xdHREWVmZO3fusGbNGq5evcrevXvL7KVQ2UlLSyM4OIjEhERat/Bi3rx5NGnSJO98Qd0njX4peI+oii6uqqqqeHl5ERsby7Zt2xg2bJjMdMb7NGvWjCNHjsg0lrA4ZKX7cms07927lylTppR4cTm37mUuGRkZ3Llzh379+knVPyIigoiICAYMGCCxbc/effhq1ueEhIRgZWVVIjkFqjfVXfeVt95LTU3l5cuXxMTEIBKJ0NfXx9bWttT3mCpnQIaFhXHx4kUGDRpErVq1MDMz48iRI5XKL1ie5GaJsrS0ZPfu3XTr1g1Hx8LZzsqCSCQiOyuLzIyKMU5MTU25du2aTMbKTSxw9uxZRowYUciQS05O5t69ezRq1CgvWPnFixfcvXuXR48e4eLiQocOHVBSUiIqKgp/f3+mTJki1dxv374lPj4ee3t7qdr37t2bX375pUQGpICAJLZs2VKo+Hdlun+ePn2a3377jd69e9OnT59853r27JnvtYeHB40aNWL06NFs2bKlRLHIVQmxWMydO3dYtmIl/65ZjZmZOb/+/gefz5whb9EqBRoaGrRv356srCxOnjzJ2rVrGTVqlMyTuWVnZ5ORkUF2dnaFhMuYmpry6tUr9PX1yzyWs7Mz169fx9/fn0aNGhU6/+LFC1JSUqhfvz4ikYj09HT8/Px49uwZT58+ZezYsZibm6OgoMClS5ewsbGR2sB79OgR9erVk+oz09DQoEOHDpw5c6bIODABgdJSmXVfeem9+Ph49u3bx/Hjx3nw4EGhxJqKioo4OTnRqVMnevXqVaJF2CplQJ44cYIhQ4ZgYWFBq1atsLa2ZtmyZTJXEtUBe3t7hg4dypYtW8jOzpZJHMX7mFtasWfHVgCUlJVRVVPDvXlrbMuhiHWtWrXYt28fCQkJMvmxN2nShKtXrxISEpJvFzJ3hzAgIABfX1+0tLRITk5GSUkJT09P6taty9mzZ/npp59wd3fn0aNHtGnTJu/6S0xMJCEhAQsLC1JTU8nIyMj7MaalpXHo0CE8PDwk7j7m4unpyf3793n58qXUO8kCApIwNTXF0tJS3mIUyfnz55kxYwbt27fnp59+kqqPl5cXRkZG+Pn5la9wckIsFjNmzBhOnDiBrZ0djZu4MHX6J/QfOFDIuloAJSUlunTpwoULF1izZg3jxo3Ll7WwrGhqaqKkpMT8+fNRUVFBSUkJfX19hgwZUi5uxI6Ojty/f5+GDRtKrTc+hEgkom3bthw9ehRnZ+d8105qaioHDhxAQUGB06dPIxKJSEhIwM7ODmdnZ2xtbfn3339RU1Ojfv36BAQEMH78+Lz+ISEh6Ovro6mpSUxMDDo6OnnurSEhIdy6dYsxY8ZILWvnzp3ZvHmzYEAKyJTKqvvKQ+8lJiaybNkytm7dSnp6Ora2tnTv3h1ra2t0dXURi8XEx8fz6tUr/Pz8WLBgAX/99ReDBw9m8uTJUsU3VykD8ocffuDff/+lR48e8halSmBmZkbz5s15+vSpzA3Irj16IhaL363GZmVx8fwZwkNDysWAVFZWpnnz5qxatYopU6aU2aVHSUmJli1bcujQISZNmpSnSIODg7l+/TqTJk1CTU2N1NRUtLS00NDQyGtTr149njx5wqZNmzA2NsbW1haxWMzDhw85duwYycnJmJiYkJiYSFpaGh07dkRTU5Pjx49Tt27dErk+aWtrM3z4cNavX8+cOXMQi8UyT4okIFBZuHDhAlOnTsXb25vff/+9RDs8YrG42hpTT5484cSJEzx79oxshSqlsuVGy5YtCQgIIDIyUqaLb0ZGRkyePJmcnBzS09PJzMxk6dKlJCYmlosBWbduXW7cuMHhw4fp3r17mcezs7NDR0eHK1eu5NNFx48fJzMzk1mzZhEREYGqqioaGhr54rA8PDzYv38/+/btY/jw4aiqqpKamsq5c+e4ceMGKioqGBkZERoaipWVFe7u7kRERODn50ePHj0+WLKqKAYPHsznn3/OixcvMDU1RV1dvcwGtIBAZaS89F67du1QVVVl/Pjx9OjRQ6K3QEhICAcOHGDHjh3s3buX69evS5y/Smmj2NhY6tSpI5OYjYIxjgVjRyTFN4LkGEd5pVAXi8XcvHmT+/fvY29vz/Pnz0lPTy+RgpMUS5f73qJT4rl49gwhQUF06dk/32diYVRgZ3i0i8R5C34vuXK0aNGCBw8eEB8fX2YDMjs7m0aNGnH37l1u3LhB06ZNUVBQwMLCAicnJ86fP0///v2L3MoXiUQ4ODjwzTffcPHiRdatW0dSUhJmZmYMHDgQc3NzwsPDUVdXJywsjOfPn/P27Vu6du1aYlfipPRMjEzN+OarL1m5ahXZ2dkEPnuR73uUdD2V5noT4iYFKhpfX1+mTp2Kp6cnf//9d4mSc1y6dIno6OhisztWRXJ/h68j3mBuaVmk8Sjpt/qx/ZaTk5M5deoUSUlJmJqaEhAQUG7eG8+ePcPX15caNWrIxMW0KFRVVenWrRsHDhwo81hisZiE1HRate/IxvXrsLKrnZcJspGbOwFPnnLb/z51677TUwWzQIhEInr16oWrqyu+vr5cuHCBnJwcmjRpwpdffolYLCYyMhJjY2MuX77Mw4cPycnJYcjI0Whra5foWnyTnEV0dDR9+g/A7/YtPv30U/74448yfwYCApWJ8tR7kydPZtCgQVJvOlhZWTF16lTGjx/Ptm3bpOpTpQxIOzs7zp49y/AxteQtSqUiKiqK3bt34+Pjg7m5OefOnePJkyd4eXlx7NgxlJSUCA4Opk6dOjKb857fXW7fuk1CQjzNPDzp3LUbWQrlmwkwKyurTLsM165d4+HDh4SEhNCyZUsaNGjArl272LVrFz4+PtSsWZNu3brx999/ExcXh56e3gfHUldXp2PHjnTs2JHk5GTU1dXzZMt1kTAwMKBBgwallhdg0pSpnDtzhvPnzqKhocHNGzdoLmQbFqhAjh8/DsD9+/cBuHnzJm/fvkVdXZ2WLVsC7x6mnz17BrxzncnKysrr16BBAywsLAC4fv06w4cPz5e44NatW0ydOhUTExPGjh3Lo0eP8s1fr169PCXYs2dPevbsia2tLUpKSty9e5e1a9dSs2bNIhMkVAfMzc158fw5byIjMS6nDKNVlUuXLvH69Wv69+9PRkYGGzZsoFatWigrK+dlWOzcubPMdq8yMjI4evQoL168QFtbm06dOmFtbV2uu9/Z2dllkj/XqA4ODiY5LZ127dtjXbMmP/3wPXUd6+HerBmWVla0a9+em9dv5BmQH8LKyorBgweTk5NDSkoKWlr/T2qSa6x36NAh71hpFzGu+z/G260hhsbG7NmzRzAgBSqUqq73RowYUar3raKiInXfSm9AisVi/v77b/755x+0tLR48OCBvEWqMFJSUggNDSUhIQFbW9tCKwm5WUHv3r1LZGQkhw4dol69evj7+zNu3Dg0NTWJiIjg9u3b3L9/X2YGZFZWFiePH6ffgIFYWFrmrZpIk7m2LOjr63Pu3Dn69+9fYoX64MEDbt68SZcuXVBXV+fWrVs8f/4cDw8PMjIySElJ4eTJk7x58wY1NbUS1bcqzxhcZWVlFv71F17uTTEwMOTY0SMYGhpQ17H44s0CArLik08+yfd68eLFAFhYWOQVWD527BhLliwpst8vv/xC7969Pzj+1atXSUtLIyQkhGHDhhU6f+bMmbxFGTs7O7Zu3cqbN2/IysrC1NSUfv36MXny5EqTDEFWRISH88Xnn/LgvweYkJCQj8KAFIvFxMbGEhISgrq6Oubm5vnu9+/XMvT19SU9PZ3Tp08TERGBjY0NHTt2JDMzkyVLlpCWlsaLFy+oVUs2i86PHj0iPj6eYcOGYWhoWCFulZqamkRHR/P48WOpM37nkpOTw/79+9HR0aF///4Eh4bx8MED0tMzaNe+PYhEBAe95PIlX+Lj4mjm4Sn12AoKCvmMR1ljYWXFxGkzWL1sEfUdHVm2bBnDhg0rkW4WECgt1UnvJScnM2nSJLp37y515mRpEIk/UFn29evXtG3bNt+bkAd79uzh62++YfmqNdz3v4ermxte7k3ztSnNCpckYyciNrnQMVP9/IZCacqFSOtS+OLFCzZu3Ii1tTU1atQgODj4g3UXk5KSEIlEeHp6kpCQgLe3N0ZGRsC7FdO//vqLuLg4fvjhh1LH0L3/GT979pTLvpcYMWpUsX0KfsaSynwUResGZv8fLz6e1atXY2FhQf/+/Yv0Fc99+NDX1+fKlSv4+/sTHR2NqqpqXgKm4sjd5axs8VSvX7/G19eXW3fusmnjBub/soBBQ4ZWyZT7HxuyupfmjtPzbfdSpTJPUkhiv94hud/TKzvy0n0F9VjfXj2pWbMmAwcP4ZLvRaZMm14hMdDyvqfs2rWLhw8f4ujoSEpKSrG1zpKSknB1dSU5ORkjIyNatmyZpxcCAwNZv3497u7u9OrVSyay7dy5k1q1auHiIjkcQ5bcvn2bo0eP4uPjg7Ozc5FtUlJSgHdG48mTJ3n0+AmpKSnUtLFhwKDBRerLsLepef/PzMykpnH+h9GKCoH40LOCWCzm3p1bRLx8zLlzZ7hz6zZnLlzE1MxM7tepgGQE3Vd5aNy4MV9//bVMDchKvwOppaVFTEwMiQkJjBk3XnKHakJqair16tWjf//+ZRpHRUUFBwcH7ty5Q3BwsNQlJAoiFosJCw0lMTGBkydO0KFjxzLJVRpq1KjBzJkz2bFjBzt27GBggSyEmZmZHDp0iPv371OjRg3i4+PzamEqKipKtVqspFQ5fxKWlpYMGjSI7r370r5DR76c9RmDhgyVt1gCAgLlhKmpKZcv+fLjz7/g1rSp5A7VhIyMDAYPHlxmjxkHBwdycnJ49uxZoTqGJSEtLY3w8HBevnxJeHi4TJLZlBQXFxesrKzYuHEjQCEjMioqig0bNpCamoqOjg5qamqMGDUaHR0dqZNylCT+qqIQiUQ0cnHDvJ03o8eNY8LYMezds5vJUytH3T4BgaqCo6MjL168kOmYlWubpQjatGlDw4aN+Gb2l7wKDpa3OBVGWRReQUQiEXZ2dnm+3KWR5fSpk+zbu4c7t2/TuWtXublQKioq0r9/f7Kzs9mwYQPXr18nJSWFrKwsbt++zfPnz5k5cyZ9+vRh0qRJ2Nvbo6SkVK0yuHl4eRHw6BHJyZJ3cAUEBKomk6dO5U1kJD//OI/MzI8nGY6sdJ9IJEJTUxMNDQ1evnxZqjESEhJYs2YNp0+fJi4ujtGjR5c5iVtpMTY2ZsiQIZw4cYJDhw7x+PFjxGIxqampHDx4EFtbW7788ku6dOnCiBEj0NPTq5BalRVJq9atuXb1irzFEBCockybNo2dO3fKrKY6VPIdyOzsbI4fP87ZM6fx8PRi966dNHB2plunjpVytayykp2dTWRkJBEREWRkZEjtBhUdHc358+d58uQJ+kYmjBk3Xm7K832UlJQYNGgQgYGBBAQEcP36dbKzs8nKysLDwwMdHZ1qFw/1PklJSSgpKcm0vpmAgEDlIS4uju/mziEqKgpNLS1Wr1xBm7ZtP4rYZ1kZkDk5OYjFYmJiYnjy5Al2dnZSz//w4cO8LIetW7fGy8urzPLIAjMzM8aOHUtgYCCnTp3iypUrhIWFoaWlRY8ePVBRUcnzMqqOGXhjYmIwMjKWtxgCAlWOgwcPYm5uzqhRo6hbty42Njb5yvTAu0W3n3/+WeoxK5UBKRaLiYyNY/vWLRw+eJC7d+9gZmbG559/zuzZs1FRUeHEiROsWbOGXr16YWpqWuQ4skjmoq1R2MgqacxjWXz0c5VYTk4O6urqKCkp0bhxY8zMzCR3LkDjxo0xMDAgLCyM9evXM2TIkEKJX8RiMZmZmXnGZVBQEDt37sTT05NOnTqhqamZT6lLo5wkfV46moU/nzuP3uR77VbHMN/r3M9USUkJJycnnJycCAwMRE1NDRsbG4kyVXWUxNlMnzSBhg0boq0m1IQUEKiqvH8PzczMJCI8nH/++pMb16/x7OlTPLy8WLpyFcNHjCQ4KIgjhw8RHBxMq9ZtZFpzsLLFkqWkpLB3715sbGzQ1NREXV2d5s2blzj+U0FBgXbt2pGVlYWfnx9qamq0bNmykHGanZ0NvPNuEYvFHD58mNDQUNq1a4e1tXWlq72rp6eHh4cHjRs35uHDh/Tt27fUiWXM9YpfEJaXEVqUXHfv3GHpokXM+mq2HCQSEKja7Nu3L+//AQEBBAQEFGpTJQ3InJwcHjx4wNy5czl48CAtW7Vm8rRpNG7cBDNz83wKrnfv3vj5+bFp0ybs7OxwdXVFo4Yeampq1cpNsXbt2vTr1y8vVXZCQgJbt25l6tSpJX54sLW1zSt4f/78edauXcuwYcPyylSEhYVx5MgRIiIi8PLywtTUlCNHjtC3b1+pV23lSd26deUtQoUQFhZG7969sbW15dy5c/IWR0BAoIwkJiZy4fw5pk+ZTEpyMuMnTWLhn3/j1KBBvkW+mjY2jBozltOnTrJi2VJc3ZpSr359NDQ0yqWAvTzp3r07sbGxiMVi3r59y6tXrzhz5gydO3cu8VjNmzcHwNXVla1bt5KYmEjXrl1RUFBALBZz/fp1Ll68iIKCAn379uXevXtEREQwatSoSv+5qqmpVXgyH3lx6OABpk2exJ9//0PvvrJLAiIg8LEQGBgo8zErhQE5ZcoUDhw4wKhRo1i7cXOhbdX3EYlENGzYEFMieJ6szdGjRwkJDcPTqzmt2rSpQKnLF3V1derXr09mZiYvX77E2dmZkJAQgoKCSpzKOxeRSETr1q3R1tZmzZo11K9fn7i4OEJDQ+nYsSMmJiYsX74cTU1NBg8eLDFjqUDFkZycTIcOHejXrx/ffvtttVosERD4GElISMDJwZ46DnVZvmo1HTsVbyCpqqrS0l4HN7dB3Llzm/X/riU1JYVxEyZiZFx93PrMzc0xNzcnLi4ODQ0NnJycWLVqVakMyFy0tLQYMWIEO3fuZP369RgZGfH69WtUVFQYPXo0t2/fZv369djb2zNixIhKbzx+TPheuMCMaVPZve8Arm5u8hZHQEDgPyqFARkVFcWff/7JwIEDi3SZKHgs8flVoi5voFabyTQaPZa4uDi2bNpIcHAww0pZPLMgmmqS3XrKy/UnIiKCV69eERYWxqNHj9DX1ycuLo60tDTc3d3LPL6rqyvm5uYEBwdjY2NDz5490dDQIDo6GiUlJTp37kwNQ+Ni3VfeT/+diyR3mEIurfqF6yc2qVd9HoRKSsHPO/f6EovFdOrUKa/u2Lhx41i9erVgRH6kKOhpoSAqucuaQpEFmwQqiqLup6mpqZw8e06qskHJL68TfelfjNpMpkvXbnTp2o27d+6wYf06Wni3xL1Zs0LhG0WFEVQ2l9VcxGIxjx49Ii4ujsDAQKKiolBTUyMrK4u0tLQyx0bmlnK6f/8+GRkZODs7Y2VlhYKCAurq6mhra9OzZ89iF7AFKpaARw8Z1L8v4yZMZOP6dbx88Zx+AwbKWywBOSHovtIzZ84c+vXrR8OGDWU2ZqUwIB0dHXn06JFUbXNycnh7aw9icQ7hFzYSvv9b9EdsY9KUqSxfuoToqChUdQwK9UtKTOTF86fUtndAoxwLv8uCEydOkJWVRb169WjTpg06Ojq8efOGt2/fyqwgcu4q7/sYGhoyZ84coHoG4FdVdu3axaNHj4iNjeXBgwfExMSwYsWKSltyREBAQDI6OjroGxgQHBSErYRQgff1XvT1nby5fYjskDvYjd2Brq4u586exb1ZsyL7Br18SXpGOvb2dSpdfdv3SUxMZNeuXXh4eODp6Unt2rURiUS8evVKZiEqCgoKRT5AeXt74+3tXebxBWSHWCzmm6++Ij4+nr/++J3s7GwyMzMFA1JAoBTs3buXPXv2UKtWLfr27YuPj09eGFtpqRTaxM7OjqCgIKnaJr+8TlbiG5S0jeHtMwBiNwxFQUGBBg2c2bRxA5v+Xc2Zk8eJCA8jMiKclORk9uzYSuCjh6xbvYIblTwNdHZ2Nu3atcvLKArvUng7ODgIRsNHxtOnT5k+fTomJibAuyx0CxcuZPny5UIcpIBAFcfW1k6q8lTv673M6Gdkh9wEsoncMBwra2syMtJZungRWzeu497d27x9G0t4WCghr16xd89url6+wsrly4gIDy//N1VKsrKy0NPTo2PHjjg6OqKsrIySkhJ2dnaFFjsFqj9LFy/i5ct3deuys7Oxr1OH1m3bsHrlio+qpJuAgCy4cOECM2fOJDMzkwULFtCyZUtmzpzJ5cuXSz1mpbBGYmJiMDAovGuYS65bTk5ODnE3diFSUiM9JeW9FtlER0fj3aoVLm5uvAqP4sWzpxw/fJCUlBRysrPR1NKiV7+BpKWmsnPbZrTUlGjm4VGiVc2Kcv3JysqSu6Eo6b2aS7FwUXCMgruaRWZpLeDWWlndrcqblJQUlv2zkmXLlmFmZoafnx/KyspkZmayePFi2rZty/Tp07l169ZHk0hBQKC6ERsbg76BPvDh7OG5ek+soEpOTg5kpv3/ZGYKycnJTJg0mZiYGEIionnof4+rl3zfnc9Kx8PTC+9WrXj44D47d2xn1PBhpcrmXd5UBr1XnSiN7qwMnkeBjx6yce0qjh0+SEZGBgDqGhq8eP6c1StWoqioyNLFi/B7kN9r7WN9VhAQkAYjIyPGjx/P+PHjuXnzJrt37+bkyZMcP34cMzMz+vTpQ+/evUukG+R+t87KymLLli18++23EttmBF8nOykKZS1DCHuQ71zshqEYfnYcTU1NzC1UMbewpHnL1oXGUFZWpu/AwZw/fpjLl3yxr1OHdu07oKioiIKCQqVI2S0o0o+b1NRUxo4aQVZGBj/99BOffvopFhYWhIaG0qtXL1q0aEFSUhLm5uYMHDgwL0Nv27Zt5S26gICAlNy5fftdWEJt+2Lb5eo9kYYBmXGvC52P3DCcGtMPYGhoiLKmLna1auede3+Rrr5TA0QiEZs2bUJZWZkWLVrQpEkTkpKS0NbWlntMtaD3BJ4EBjCoV1f6DRrGlJmfsWLx3yQnJaKooEDffv3p0asXfy1ciJaWNtZmJtg7OHDk+EkhblVAoAS4ubnh5ubG3LlzOXLkCLt372bJkiUsW7YMT09PBgwYQNu2bSXqBLnerePj4xk7dixmZmb07Nmz2LY5OTmk3NuHWEGF9DdFuS+824U0NDQs4lx+atTQZfjIkTx58pj9e/Zy9vRpdPX00NPTo3PXrtjZ1UJZWX6rWbIqpCxQ9Th54jijhg2lbr16vAoK4tixY9jZ2dGkSRMyMjJITExk69atxMXFERYWRqtWrXj69Cl79uwhLi4Oa2tr6tatW+q6YAICAuXPrZs3GTZoIL/8+hsaGhofbJer90SKamRnZUFafOFGmSnEx8dTo0YNifPWq++EW+NGHDhwgN27d7Nq1SosLCywsbGhe/fu6Orqyi1OUtB7HzczJ4/n1PGjONarz8Z/V5GUmMjAoSOIjnpDVkY6MbExzJ/3A0EvX5KSkkK3Hj04duQIu3Zsx8jYmIb162FrayssQggISEl6ejpJSUkkJSUhFotRV1fH39+fS5cuUbt2bf7+++9i867ILQYyOzubAQMGoKamxu7duyUqjoQnvmSG3Ucc9xqyEotsE7thaIlkUFRUJCsrk9r29gwbMZLeffpy6eJFFi74hdDXhVd6Kwpzc3MuXbqUV+BY4ONh7epV/PjzAoyMjKhduzZGRkZoaWkRGBiIi4tLXnyQqqoqysrK+Pn58fbtW27evMnmzZsZP348pqamGBgY0LBhQ2bPnp3nBiQgICB/AgMD6Ne7JwsWLqRv/wHFts0IvklmdDDZb4Mh+vEH20VuGC71/CKRiLS0NNTU1OjUqROzZs3CxsaGlStXsmbNGjIz5ePGqKenR3x8PI8ff/h9ClRPIsLDOHn0MMfOX+bqZV9atW2PsYkpZ04dR11Dg05dutCoUWOsa9ZES0sLVVVVrly6jKqqKocOHmDlsmV07NgRLS0tLCwsaNu2LQcPHpT32xIQqHTk5ORw/vx5pk6dSsuWLVm4cCHa2tr89NNP+Pr64uvry48//khUVFReUs0PUeFLNbk+9ju3byMsPJzte/aRo6iUd/xDcSDpN9b+97+cYkZ/twuprKlb6ExR8Xa1atWmu48Pd27fwcbGBiUlJcaMG8+jhw84sGcXXl5eeHl5leTtyYRu3bqxa9cu1q1bR69evYqND63KFBWz8DHHMfjfvsnd27fZvXMnnu5u/Pzzz3h5eeHv78+BAwcK7YpnZGTw6tUrtLW185LswLsbRExMDC9fvsTd3Z2xY8fKLHuvgIBA2fjys8+Y+dnn+PTqLbGtgpYBZCRIHrQEu5AAAwYMYOPGjVhaWqKhoUHLli3x9vZm7969LF68mCFDhuS7p1QEGhoaDB48mO3btxMaGkrz5s0rRUhJQaSJE6wMeqwyxDNKy9I/FjB0+HCcHGrx48+/EBwUhKWVJVOmTqP/wEGFPs+3b98SFBqGhYVl3g6+lqoyaWlpREVFsXTpUr797jvadCx97VCBspOSUfTzvEDF8+rVK/bs2cO+ffuIiopCS0uLAQMG0L9//0K15fv27UtaWhq//vprsWPKbQfSyrom9/39uXTxosS2KSkpkBQl1bgl3YWs79QALS1N9uzamXesXn0nJk2axN27d7l161aJxpMFysrKDBo0CEdHR9asWUNUlHTvXaDq4u/vT7du3bC3t+fXX3+lSZMm7N27l9TUVLy8vIp0qVZRUaF27dqFHvQUFBQwMjIiLS0NJycn7IooESAWiwkODiYtLa3QOQEBgfIjIyOD3375mbi4OIltszSlzz5a0l3ILl264Ovry4MHD/KO9enThw4dOrBp0yYSEqQwXGWMhYUFEyZMICIigs2bN1f4/AIVz6+//MyB/ft49uwply5eZMann/HH3//w/OlTmrcourSKnp4e9vZ1Crl/q6mpYWVlRWRkJP0HDiqyb0pKCq9DQhCLheKAAh8PHTp0YOXKlZibm/Pzzz9z6dIl5s6dW8h4zMXCwgIjI6Nix5SbAXn86BEAPp0xXWLb5H2fSD+wuk6J5FBQUKBVm7ZERkbmO66trU2/fv24cOGCXG40IpEILy8vbGxsCA0NrfD5BSqOtLQ0unfvjlgsZuDAgSxbtozDhw+Tk5PDxo0b6datW6nGHTp0KD4+PohEIlavXk3//v1xdHRkwIABKCgoYGNjg4WFBX/++Se7d+8mOjpaxu9MQEDgfbKzs7nnd5f4+HjOnz0jsX1JdJ+SjmmJZDEyMsLZ2Zk3b97kO+7k5ESDBg24ceNGicaTFVpaWvTp04fXr1+/yzorUG255HuRhb8uoIFzQ5ydGzJ4QD/EYjGHDh7A1s4O01JkC7516xbr16+nh09P3r59y1dfzKJHl854uLkwoG9vTPR1cbSvResWXuzYtpVLFy8KYR4C1Z6hQ4dy+PBhtm/fTq9evVBVVS22fevWrTl79myxbeQSbfzkyWN27djBpWvXadiocbFtU1JSyImXLh7RaPROqQtjvu8SkaqsiIqiQiE3CRMTE9TU1Hj58mWRuzgVgaqqqlQr1RVNUS46BV1mqpILjTzZv38/ERERnDhxAm9vb+bNm4ejoyMxMTEARRa+/hChcanAux3GkJAQWnfpyWez57B80V94tWjJZ998R8KbMCwsLFBTU6N///78+ttC9u7bz/Dhw1n97zqGDCw+LktAQKDkZGZmsnnjRmxsbbly4xbxqVn5QjaS0/LfL3VVxVLrPvMJ+9DS0iqRPNnZ2YhEoiKNNCcnJ3bu3ClVJr7yQllZmYSEBHR1deUy/4eQVJ7qQ8fKMkdRyEu/fijMKJciy3N9gDmzZ6Onp8ee/Qe4cP4cFy9cQCQS8fLFC7yat8hL6FTUey0oR9jbd7rv3tNXGBmbkJStTN+2bVFSVMShnhNjJ0wgJjqGxIREvpv3I/f973H0yGFuXr+BiZkp6zduRtfEstTvRUCgMiMpnrE0VOivIzMzk+6dOxEQ8IiJk6fg3LCRxD4lWYGN2jAUvRlHSiRTQkICS5cuBYrOAufu7s6hQ4do1KgRHh4eFR6T0axZMzZs2ICDg0OlrN0lUHZevHiBoqIirVq1YsOGDRgYGHDx4kXGjh2Luro6L1++xNbWtkRjHjt8gDp1HYmOimLL+rVc9XuEoZExABa66vnarl63HoBrV68yeEA/DuzdQ5s2bTAxMaFXr14yeY8CAh8z169fp3uPHtS0seGvRUuk6hOxbarU40dsHkftidtKJNOVK1e4dOkSbm5uhc6ZmZmhra3N1q1badKkCY6OjiUau6yoqqri6urK3r17GTVqlJCdtZoSHhZGq9ZtUFZW5p8//6Rzly6MGDqYvbt306dff2JjY9HX15d6PLFYzJZ1qxkxfjK//vANjZq48v2vf6GgoIC53ju9N2rMGADcmzVj7PgJZGdn8+vP8/H28mDg0JFY29jQtJkndepW7DUvIFDVqFAXVj8/P549fcrj5y/5/IsvJSqFkuw+AihoSS7hUZAXL15gb2/PrFmzipTHxcWFHj16EBkZyerVq3n16hVZWRUXGGxqaoqTkxMBAQEVNqdAxXH06FEWLFiAiYkJd+/e5dNPP0VLS4u//voLeFcT0s7OjiNHpF8YuXv7JnNmzeTr735iwsghjBgzIc94LI5mHh5cvXGLNm3acPXqVXr37o2NjQ27d++u0GteQKC6sXHjRkaMHMW5i5dwb9ZMYvuUlBSy4kKkHl9Zz1JyowI8f/6cHj160LFjx0LnFBQUGDZsGPXq1ePEiRMcOXKE2NjYEs9RFtq1a0d4eHil9MARKBs5OTlMnzKZt29jcahblx++nUtkZAQrli/j1atXAOzZtZOa5tK7ZYvFYpb8sYDQkFeYmJpz5MAehoweL7EsjaKiIl/P/Za9Bw6hrKzEupXLaePhQv8enXn27GmZ3qeAQHWmQg3IJk2aABAY8Eiq9sn7Z0o9tnnPedQeu6HEMr18+RIHBwc0NTWLPC8SibC1taVfv364ublx8OBBVq1aVaE+8yYmJsTHF1H/S6DKEhoaSmJiIjNnvrvGR40aRcuWLRGJRLi5uXH37l0+++wz9PT0mDt3Lq1atZJ67O9mz2L8lE+wsLIiIT6OqZ/OkrqviakpEydOZMOGDcTExLBkyRJ+++03atasyfLly/H19c1r+/XXX+Pq6ir12AKyQcFAE0Uj7RL/KRgUfY8TKH98fHw4c/qU1O1zjkr/m63z2SlqDlhYInkyMzMJCwvDycnpg3XzVFVVady4MZMmTSI5OZm1a9dy4cKFEs1TFkQiESYmJoIBWY3Izs4m6OVL/O7eZffOHbi4uvHg/n3WrllN1Js3LF+1mkNHj2NiaoqGhgbHTp6WeuygF89ZuegP1mzby6P79+jeqx8OjvWl7u/i6sqsb77j9JWbXPd/TFMPTzq2bUOfnj7s3L4tr7RbfHw8jrVrsWlDyZ83BcqGoPsqFxXqwqqoqIi7RzPu+/tT36mB5Pb61uTEvZJqbCWt4ktdFBVTIBaLefHiBS1btpQ4vkgkomnTpjRt2pTt27dz8eJF2rVrJ5VsZaUyxoEURWVIXV6ZEYvFXL16lV9//RVfX1+Sk5MRiUSkp6fz448/0rBhQxYtWoSnpycAPXr0YOPGjdSoUeODCxxvk1LeZSkGunXqwMgps3j5/AXpWbB923YAgl69xsT0/+7PSen5f/Yf+t709fXp1q0b3bp149y5cyxfvpx58+axdetWlJSU+OWXX/Dw8Cjz5yIgUN1p0aIF9/3984VJFIx5zIeeJSRIsQOplr9sh7T34ODgYExNTaUKyVBVVaV///4kJiaydOlSHBwcMDUtWcKe0pKQkCB1XoOKoiJiDysqvlFSPGOx1+h/aKpJvuZSU1PZtmULi/76k8SkRN78l7Twku9FVFRUGD5yFHO++z6vZFnrNm3Zv3cPDnXrflj2+Dg0NbU4vH8vvhfOoqZrgb6RGUeOn+Pi+fNYWVuTkJye93uLLyBnUfGNucd069jy47wf+HbuHP76fSF7du9i/rx5HD1/hdXLF/P6dQg1DCu2zI2AQGWjwiOEw8PCMTe3kKqtkuc0Ml9c+uB5zZpNcBjyZ6lvtv7+/qiqqpZYQbVp04bNmzdXmAEZHh6et3srUHVxc3Pj9u3bwLsdCS8vL7Zs2UJ8fDzbtm2jWQHXNnd3dxQUFPjnn3+YOXNmka44WzZtYtrkiXh4euF39y4r/lpAi7Yd2LRmGRFh71ZMI8PD8hmQpaF169a0bt2aDRs2MHDgQDIzMzE2NqZZs2ZkZ2ejqKhYpvEFBKoz4eHhmJmZSx/LV3swBF/94Omy6L7s7GyuXr1KnTp1StRPW1ubxo0b8+jRowoxIJOTk8nIyJC6tqVA5SQ+Ph5Lk/+XA5j73ffExsayZfMm2rVrz1+LlxRaIO83YACHDx5g7ZrVfPX1N0WO27mlJ5ER4aipaxAf95ZGTVugo6fPjrWLCHoWQFjIC7Kzsz+4wy4NysrKfDH7awC6dGiPt5sz6hqaGBkbCzpP4KOnwg1INTU1oqOlq2uYunNMseeTg++Qnp5OaTxxg4ODOXnyJCNGjChxgL6SkhLp6elcv34dKysrzM2lr9VVGsLDw8t9DoHy59y5c8TGxpKRkcGWLVsICgpi1qxZ9OvXr8idAFVVVX788UdmzpzJb7/9RlZWFhEREfj6+uLj40NOTg7r1q1nwqTJBAcH4/fwEbcePOeLyaNZveMQWZmZJL59g3NjF5m9hy5dujBy5EiWLFnC4MGD6dy5M0pKShw9epTOnYWizQICRaGiokJSchLp6ekS06cDcGZasadLq/vEYjHHjh1DQUGhVN4DqqqqPHv2DAMDA+rUqYO6urrkTqXkndFtJiTQqeLUqFGDZ0GvSEtL482bN6xZtZKaNWuy98Ah3Jo2LbJPh46dqGljy9LFi6hZsyaBAQE8e/aUqDdR9OrTh3t+fqSlp9G7/yC0dXSY/d2PTJo4hZg34cz+bTWXzxyhbZuWZTIeC8nUqRO+Fy9wO+A5z589pX/3TtjXqcPJs+cxNCx5/g0BgapOhRuQPj17cfzoUXr37QcUdqHIdZlISkiAjCSJ4z3bOZua/X/Nd0ySG09MTAy7du2iT58+GBtLTi5SEH19fYYMGcKtW7c4d+4cn332WZGF3mVBcnIy2dnZ6OiUrL5lVaXginp1covV1tZGW1sbgO+//16qPt7e3qiqqrJhwwaaNm1KYGAgz58/Z82aNdja2qJTQ4d/16ymVu3azP16NhfPn2f95i20a/7hHeuyfKZGRka8fPmSmjVr5tWXdHZ2pk+fPkRFRX3Q1VZA4GPG0tKS2vb2XL96Fe8PxDMnpvwXVx8cDIAks+nZztnUH/ZnieS4du0aISEhjB49ulQ7KN7e3qioqHDz5k1evXpF9+7dSzyGtERERJR5p1MoJVU8klxUi3JPlcattSAm/32PNW1sPmg0vk98ahY+fQew7J8/WLVqFeYWlty9c5foqCheh4ZS08aWzIxMdm7dRPsu3encujk5OTlsO3AcLW0d6o8dXkj2gi6rktx3C/YZP3ESg4cMxdjEhDq2VkyYNJmVy5fx7dxv+eXPRR+cR0BAHsTGxjJ//nxevnxJ9+7dGTFiRJ4X2+TJk1m2bFmZ56jQJDoAaupqRWZ0zMrK4vaN6/8/cGCSVOOlh+SuxEpHSkoKW7dupXXr1mWq7WhtbU3v3r0xNjYmKCio1ONIIiIiAhMTE2EV9iPFwcGB27dvk5OTw+HDh+ncuTOBgYGsWLECFxcXvp4zl05duhAYEICxsQn3A5/Qrn2HcpXJxsYm73ps0KABYrEYFxcXLl68WK7zCghUZdTV1MnMLPzwHR76mtCQ92L9r34m1Xgl1X2BgYFcuXKFwYMHS7cLWgQKCgp4enrSu3dvHj9+jFgsLtU40hAZGYmJiRBn9rEy+ZNP+f7n37h/z4+Xz5/x9fc/ce7aHSZMmU49pwYsW7+N7Oxszp06zmdff8/+U75oaZffQruGhgbG712Pv//1N76373Ps8MFym1NAoLT88MMPRERE0LBhQxYvXszo0aNJTEwE3t1bZUGFGpAbN27kq1mf07EIV7dN/67Gp2Pr/x/Qln5nMPLQ91K1i4mJYePGjTg4OODiIhu3PiUlpSIfCnIRi8VcvHiRjRs3cufOnbyizdHR0dy+fTuvWPyHEJSogI2NDdevX+fRo0d8//33WFpa0qNHDxYtWkTX7j04dOAAAHO//0EuCSfOnDnDpUuXWLBgAWlpaRU+v4BAZSYrK4vevXvzKjgYpwaFk8e1cq3P159Oee+I9IuFQXuKjg8ryL179zh48CADBw6USUyhkpIS2dnZefqsKJKTk9m2bRv79u0jNDQUeFe+4dmzZ/j5+RWrN0HQfQLQd+AQzly5xaHTF+neqw+W1taMHDeRb39aQET4u2uqXaeueLdpV+ExiZmZmfz1689ER71h/eoVFTq3gIAkAgMDWb9+Pd999x2HDh0iISGB4cOHyzSrdYXutT979gxdXT0sLCzzstElp2USEx3FpYvv0oOrqyiioKCA5sD/F1tOOPEjqc+vfHBcFVV1iW55/v7+HD9+nFatWhVZOLksXL16FS0tLRQVFQkPD8fe3h4VFRWCgoK4ceMGaWlpeHl5cePGDa5fv57nBmhra8uZM2dwcXGhVatWRd4AIyMjqVmzpkzlrSwU5V4kya1EXi6t8nat/VAW3v179wAwcfKUvAx271NecuZ+HomJiXnJpK5eu8a/2/fRrlNX6pjmXwm+efMmycnJNGrUqEpkFBYQkBUikYgzZ84wfNTofOWfElMy8L9zE4DoqGi0Nf6Lgx79bkHIXE+dkP3fFav7FFWKj0FMT0/nyJEjhIeHM2LECJkZZNnZ2WRmZnLq1CmaNWtGWFgYCgoK2NnZkZycjL+/P3fu3KFBgwZoamqydetWrK2tiY+PRywWo6mpyfnz5+nRo0eRnkBZWVnExsZiZPT/5CvVyR1VGvfJgpTUNVKaOSS5eYa9TZW5XCXFxrZoT7FtG/4FYMyk6UWel+RqW9T5gp9HcZ/h5vX/snfnNlTV1Pnx229o0LIPAC51/n/NpqWlce2yLwaGhtRzci43I1dwmxUoiKamZl5onYWFBdu2bWPatGmMGjVKZgv9FXrVfffdd6hpajF10kQ6dOrEr7//gVgspkUjB7KzswHYu3M7fQcOztfPyGMIISF+HxzXzGvYB8+lp6dz9OhRQkNDGT58uMyzxw0aNAg/Pz/27t2LsrIyRkZGnDlzhpycHIyNjWncuDFOTk6oqKhQv359Hj9+TFpaGp06dUJLS4ukpCT27NnD33//jbu7O02bNs2XUCUiIgJ3d3eZyixQfbh+7RoAo8eOlcv82trabN62ne+/+56EhHgunjmJ77nTrFz8FyKRiCNHjnD79m1WrFhBw4YNuXfvHg0aNODLL7+ke/fuEos8C8iX27dv888//+Dv74+CggIuLi58/vnnODg4SOy7a9cu9uzZQ1BQEElJSRgYGODi4sLkyZOpXbt2vrZRUVEsW7aMixcvEhUVhaGhIc2bN2fKlClVfhdKUVGR+/fvM/e772nh2YzN23bQvEULwl6/YnS/LgA8e/yIhPg4dGro5utbFt0XGhrKnj17sLGxYdy4cVKV7JAWPT09pk6dyrlz51i7dm3e4tXOnTvR0tLC1taWnj17YmtrC0DDhg0JCAhAS0sLe3t7FBQUePr0Kbt378bIyIgWLVpQq1atPNf4qKgo9PX1ZZoERaD6kJOTw40rvljb2FLfuZFcZBgwZDjXbt1n/5ZVNHL3Ztkvs6nt6IzLF9N5HPAIvzu32LLhX+Lj4lBQUOBNZCTtOnbm06++oaaNrVxkFpCO6qD3VFRUCAkJwcrKCniXAG3ZsmXMmjWL48ePl2nsXCq8DuT0GTMZPnIUvXp0Y+K4scQlJOcZjy3bduDaFd9CBqSaSR3spx344LiaBXZZxGIxr1+/xt/fn4cPH1K3bl3Gjx8vUwWai7KyMm5ubvl2NXNychCJRIXiFkUiEXUL1DXS0tJixIgRREREcOHCBZYvX463tzeNGjUiJyeHmJiYfKuwAgK5xMXFsWrFcvQNDKjrWE9ucrTr0JGJ48cz96ff+HPBPCLDwzh99CAZGRm0aNECa2trdu/eTceOHUlNTeXEiRN8//33zJo1izVr1tCiRQshxrcS4ufnx4gRI2jYsCG///47OTk5rFq1iqFDh7J7926JnhFv377F09OTsWPHoqOjw+vXr1m9ejX9+vVj//79ef0zMjIYOnQo8fHxTJ8+nVq1avH8+XMWLVrEtWvXOHz4cLncuysSa2trlq5YSb+zAxg6aACffj6LxYveJd7Q1NLGyMSUp48DcWmav5RPSXVfRkYGAQEB+Pv7Ex4eTteuXalfX/pi6iVBV1eXXr165TuWk5NT5KKQhoZGobARe3t7PvvsMx4+fMiRI0cwNTXF29sbMzMzwX1VoFjWLH/noTZ55hdyk0FZWRkrm9o0cPHAyNSce7cuc2L/Vk7v20hMTDSt2rbHxc2dqTM/x8DQiIjwMLZs+Jdubb1p26ETs7+bV+byWgKyp7rovTlz5hQ6pqSkxB9//CGzEoRyWd7T1dXlwOGjfD93DkePHsk7/vRxAOMnTy31uDExMdy/fz9v1cDZ2Znx48dXuMtcaXZVTE1NGTBgAI8fP2bbtm1YWlqSk5ODrq5uuWV4FajaiMVips2Yyawvv5KrAXb1ymUUFESsX70sL6lG7969+frrrwvdbNXV1enZsyc+Pj7s2rWLcePGIRKJ6Nu3LyYmJly7do0aNWrw1VdfYW1tna+vWCwmODiYe/fu8eLFC2rUqIG1tTXOzs6lyqYsUDyLFi1CV1eXtWvXoqamBkCzZs1o164dixYt4o8//ii2//jx4/O9btq0KQ0bNqRLly4cOnSIqVPf3evv3r1LUFAQP/30E/36vcvO7e7ujrKyMnPmzOHu3bvVxgujVZs27N53gJnTp5GSnAxAclIi2jo6pS63k5OTw4sXL/D39+fJkydYWVnRuHFjBg4cWOG6o6S6T1FREWdnZxwcHDh27BhHjhxh7NixecnjBASKon4DZ+b89Bs9+w2Sqxw3fE9x//ZVngc+ICX5XYKSmV9+Tau27dH6L+N6LqZm5nz21RwmT/+U+d/PoU0zF1zdm+Hu2RyRSMTli+dp26ETw0aPK7TznpaWxtPHATx6cJ+kpCT09Q2oZW+PvYNjuZbS+RipLnrPycmpyOMKCgp07dq11OO+T4UbkLkxWVpGBqxcvowd27ahrKxMhy7d8L97h+5dOhZ6GC4Yx/V+LERiYiL3bgXw4MEDEhMTqV+/Pn369MHcvARFmysRsbGx2NraYmhoiL+/f4UUbJYXValER2WUVU9Pj0V/lSyNf2mQFHt06eJFEuLjSUsN5M+lq4iNjWHOrJnF/v5EIhFdfHrRuUdPrl+7xsnjx3j8+DGurq5ERUXRuHFjvFq0wMzMnMuXfImOjiYhPh5dPT0aNHDG1s6OxMREgoOCeHDfnxYtW/L7n3/jUEtwDZIVd+/epW3btnlKFEBHRwcXFxfOnDlDdnZ2iWN6cpM8vW/Y5D4saRd44Mp9XRV3H4v7zbi6ufHl118zdNBAdGro0tDFnXrOjahpXLIMkiGvXvHiSSCPHj1CV1eXBg0a0KFDB7S0tMoqfoWjpKRE8OtQmrq7k5SeSfDrUJp5elaruMfypqRlKaQZo6gyHiWdV5r4vJLGhHp5t8LLu1W+Y6UpL1JS3p9DLBYT6P8uhtnI2Jixk3/C0cmZZs2Kf+jPUVBm9rxf+eSrbzl5+CAvngaSlppCz7792bFlExvWrqKhixvpaWncvXWD5KQkUlNTqGljh0M9J3Rq1CAmOooXz54SHvqaKTO/YOiYCYUWiyTFtwoUTXXXe6mpqYSGhhIXF1dkFu2S5IiR6xWVk5ODWCzGxq4W9nXqYmFpVSKjLzIigm1bt+Bcvx7t27fHxsamSsdUvX37Fl9fX8aOHYtIJBLceASqBLlxmHa17fHp069I9+0PIRKJaObhQTMPj3xG+qRJkzh74SKvX7+m/8BBWFtbo62jU+TDcXp6OgsX/EIz1yb079+fBQsWyCUbbXUjMzOzSCWmoqJCamoqISEh2NjYSBwnOzub7OxsXr9+ze+//46hoSE9e/bMO9+oUSOcnZ1ZsmQJFhYW2NnZ8eLFC5YsWYKbmxsNGzaU4buqHKipqZGdlcW4aZ+xdd0qpnz+dYn6X7p4kXv3/PB0b8rYsWOr/PV+9epVNDQ0cGrgjFgs5s2bNxgbC7pPoPISERZK/H8ZLUdPmkr/oSNL1F9DQ5Oe/QflM/R69RvI/Xt3uXP7Dtk52Uz7/Gt0dGqgpaNT5L046MVz5s3+jPWrlzHjyzn49B1YpZ+BKwPVVe+lpKTwyy+/sH///iJLKeYmNg0ICJB6TLkakIqKigS8iuDmtauMHTaQHQeOSt03JSWF3bt20r5DB9xdPlw0vaogFos5dOgQnp6e6OvrA+8ysFYX1y2B6ssl34vY1bbnwIlzMtv1t7Kyok+//lK1VVVVZc533zN52nR+/WketWrVYuLEicyePbvQ6p7Au8RcBdHR0UFHJ/8OWO3atbl3716eYoF3yvX+/fvAuwUvaRSpp6dnXupwGxsbNm7cmG9hTFFRkfXr1/PFF1/Qt2/fvOMtWrTgn3/+qZYPRO3ad+BqYBgr/voFIxNTatVxlLpvYMAj/PzuMmrMWEz0dctPyAoiJiaGK1euMGj4SEQiEQkJCYhEoiq5kyrw8fD0cSAAs+bOY+Cw0TIZU1FRkUZNXLGvJ53xYGNXi3937Mf/7m2+/+pT1iz9h5mzv6Vtxy4ykae6IY3uq656L7ecR/v27XFxcZFNOScZyFUi3ndJefTwAb/89BNXrlxm+apVuLtI96MJDXrBmTNnaOzcoFoYj/CuTldKSgqenp55xz7GOJDK6CoqUDzXb9+hjkPdYjMmSuOKVlZ3NX19fX7982+mzviUH3/4njoODnz9/Xx69x+Y18ZCt+rHiyjUUEdBRaPk/TIyIAaGDBlS6NzUqVOZNm1avmNDhw7lm2++4aeffmL8+PHk5OSwaNGiPCUsrYLbsGEDaWlphISEsGHDBoYPH8769euxt7cH3innzz77jKdPn/Lzzz9Ts2ZNnj9/zpIlS5g8eTJr1qypFnHguW56OTk57Nq2iTXLl1JDV491W7ZjYiDZWEpPT+fmjRtcv3aVwUOGoqmpWd4iF0lRv9OS3rdzxxCLxezetx8Xd4+8XdQ3byIxNjaukiEouUhyySzobpmYkpHvtal+4e+2pG6e5eWyWFB2SW6u0sgtyf1UGldaSX1KKrck3D2bc8z3Fna17YudpyAFv+vSUHAMW4cGrN97kisXzvDHz9+zbuUypn+zAMua/y+B4lbHsMzzypuK0H3VVe+dOXOGvn378tNPP8lsTLnsQIrFYhYu+IVlS5fQxMUF36vXMTc3l6pvWloa27ZtA5BZIKi8SUpK4tSpUwwdOjTv4kxKSiInJ6fQroCAQGWjXv2ig7XlhZW1NavW/svtW7cYMWwoz58+5tOv5lR4oenKypYtWwrFVhd1n+nbty+xsbEsX76czZs3A9C4cWNGjx7N6tWrpU5clJt5ulGjRrRp04aOHTvy559/snz5cgD27NnDuXPnOHDgQF5bV1dXbG1tGTZsGEeOHMnn+lOViYmOYtywQcTFvaVj1+58Pnuu1NflfX9/Lp4/h6KiImZS6svKzj0/PzIyMnFr2jTv2JvINxh/ZAunAlUPVTW1QsajPBGJRHi1aod781Zs37CamaP78O3CFTRoInix5SKN7quuek9ZWZkGDRrIbDyQgwEZHx/P7C9mcc/vLtdv3eH4sWOkpCRL3T84OBhbW1s6d+5cbcpbHD9+nIYNG2Jm9v+Uzrnxj1V5FVZAQJ64uLqy79hppk8YQ58u7Rk6agxjhw2S285NZcHU1BRLS0up2o4fP56RI0cSFBSEpqYmFhYWzJ07FwsLi3z3K2nR1NSkVq1aBAUF5R179OgRysrKhUoc5WaRe/bsWYnnqYzcu3ub6RPG0LVHT0ZPmMyubVtKtKgR9PIFHTp1xr5OnXKUsuJITEzk/LmzDBo8JN+qftSbSGztii4eLyAgUDxKSkoMHTMJYwtbvv9sPN7tutCmc0/c6lSPDZeyIK3uq456z93dnXv37jFgwACZjVmhwSVisZhB/fqSlZXF0ZOnMTE1RUtLMy+duTQEBQVhYmJS5V1ccgkNDeXBgweYm5tz6dIlXr9+DbxzX63OGVgFBCoCYxNTtu49xLDR49i9fSv9+/cvMvOYwIdRUVGhTp06WFhY8Pr1a44ePVqkK5A0xMXFERgYmK+8i7GxMZmZmTx69ChfWz8/P4Bq4cb/+HEgQ/v25JPPv+KLOd+jrVODtLTUvBrIksjKyiI0NBQrKyuZxK5UBi75XiQlOZnEpEQu+fqSlpYG5C6eCrpPQKAsNGvRllU7T6JvaMyPX0xm357d8hapSlHd9N5XX33FtWvX2LBhA5mZsslYXO47kO/HS/z4/XekpqWyfNVqMjIy8L/nR3R0NEZG0m0JJycnc/fu3UJ1Vqoypqam9OjRgxs3bqClpYWvry9Tp04lMjISW1uhJIFA8RSMR5JFDKksUufLYoySxvwURUTsu8Upr/Y9aNqyEzNG9WXYiJEsW7kKBQUFIea2GAIDAzl9+jROTk6oqKgQEBDAqlWrcHZ2ZsSIEfnaDhs2jBs3bvD48eO8Yz4+Pvj4+GBra4u6ujpBQUFs2rSJtLQ0Jk+enNeud+/erF+/nqlTpzJp0iSsrKx4/vw5y5Ytw9DQkG7dulXYe5YV71+7b2NjGDpoMJ999Q29+w8kPCyUsNBQVBSAjGRq/Jc0rTju+/tjYGAoF9fO8opf9vRqjrKyMpcu+qKiokx4WCi9+vQl7u1bDAyrTrxWae5TBePvyhqPVxSyuH8WRXnIKmmOouIKC8YBamvkz5wpKRaxqPPSzFtWCspZ1Ocpad6CYxQVV5mYmomKlj49h0+lvmsLPpk2itQcJVq161jkvEKZj3dUV71nbm7OzJkz+fLLL1m4cCFGRkaF4jlFIhGnT5+WeswKu2IW/rqAgwf2c/TkaRQVFbl8yZcnjx9Tx8EBrxYtpBrjzp07ODg45GUprQ5kZGRgbm6OhYUFYrEYbW1tdu3aRUJCAs2aNZO3eAIC1QZlFRUOHj2GT9cuzJ/3A3O//0HeIlVqlJWVuXr1Khs3biQlJQUrKytGjx7NqFGjik2YlEvDhg3Zu3cvYWFhpKenY2BggJubG3/99Rd13nPDNDc3Z9euXSxZsoTly5f/t6hoRMuWLZk6dWqVLlERHx/HkD49aNW2PSPGTgBg97YtmJiZ0W/gQKl0mVgs5trVK3Tu0rVaeN3kkpWVRcOGjahXrz5q6ups3riBo4cPo6unJ9X1JSAgIB329RqyYuMOJg4fwPqdB6hbX7axcNWJ6qr39u7dyzfffIOysjK2trYyya9SIXfp9f/+y5aNGzl++kxe3KKRkRE3rl3DytqayIgIzMzNi1WOOTk53L17t9okU4B3bqqbNm1CU1MTsVhMcnIyrq6uiEQiHj16JHWwroCAgHRoaGiwdcdOWjX3QlNLizmzv6qWZSJkQa1atdiyZYtUbTdt2lTo2Lx586Sey9bWlj/++EPq9lWB7OxsRg/qh0vTZnzzw095+k1bR4eQV8Ho6/cgLi4OXV3dYscJefUKkUhETSlSx1cVfC9c4PbtW6irq6OoqEhSUhJezVtwYO9e7B2qR4yngEBlopGLG3Pn/8bE4QNZvHYTzZoJyXWKorrqvRUrVuDo6MiaNWtktglXIQbkL/N/ZNfefZi+F3yq9V99trOnT5OZmYmOTg1atPTGwtgIPT29QskFwsPDAbC2tq4IkWWOWCwmJSWFoKAgQkJCiI6O5vXr1/To0YN69eoB7+phnTx5kvj4eDp06CCswgpUCLJwNy0PZOJSU0Q6fCNjY46dOs2oEcO4fOkSG7dszZdYR3BrFZAFV3wvkJKSzA+/LMy3OKpvYEhCfDwb1v2LSCSiXv36NHFxRVlZuUhj8tGjhzg1cC5ygVXSb1eaa7m8f/85OTlER0URGhrKq+AgYmPfkpaWyrgJE/N+d/f87nLf/z56Bvp4eHmVqzyyRpr7VHm5k1ZXysN1tCDlUU4DICG5eNnrWOlKHFeSm3DBz6egSytAXevCx7r27IuCoiLjh/bjiznfMXTkmLxzRV2jgltr9SEyMpIRI0bI1IOz3K+OhIQE4uPicGrgnO+4upo6Jqam1HWsh6eXFw/u+3P29Gmy0tPQ1dUttF2cnp5OVlbVugmLxWIePnyIr68vsbGxKCoqYm1tjYWFBW5ubvj4+OQrdG5gYMCgQYPkKLGAwMeBdc2aHD91hikTxjN88CDWbdoslMwRkClPHgfSxLVpoR1uIxMTEhMT6NG1M3r6+ly9cpltWzaTnp6Od8tWuL8XuiAWi0lPT0ddrWrVL01LS+OS70UePXxIakoK2jo6WFpZYV3ThsZNXDAzN89X46xho8Y0bNRYjhILCHwcdO7ei3pOzozs1wNFRUUGDBkueOF8BNja2hIfHy/TMcvdgAx6+QIzc/NCF6i5hQVjxv0/GU4D54Y0cG6IpooSixcvJjIyEgsLCwBu3brF2bNn6dSpU3mLKzNiYmI4fvw4CQkJdOzYEUtLS1RUCq8ICQgIyAdlZWWWrlzF9CmTqWdfi46dOjPnu+9p4Oggb9EEqgHBL19gZlE4ZbyHVws8vFrkre63a9+Bdu078Co4mOPHjuYZkFlZWezcvo20tHeGZVVALBYTGPCI06dOUat2bYYOH0GNGjWEGqwCApWImra12LhzH1PHjWLR778ycNgIpn36hWBIVmMmTJjA/Pnz6d27t8wqPJS7AenS0Jmc7GyOHdxPv379JLrLiEQiGjVqxLlz5xgyZAhZWVmcPHmSoUOHVgn3VbFYjK+vL9euXcPT0xMPDw9BeQqUG1XF3VJe7jGS5lBWVmb5qtX8+PMvLPr7T0aPHM7RE6dQV//wjk9V+cwF5IeFrjoDevswfvx4Pps2CUNDQ0LjUovtY2ll9c5r5cF96js14HFgAPHx8UyYNLnUD3YV6Z6emprK9q1bEefk4NOzF9bvpayvTlRld1RJrqEVkWFVVkjKZlrwvRZ0Nw0MKbwbo62uXOxrCyPJNYQTUzOLfV1wjNJ85qXpU/DzsLKrw/7Tl3h0/x7ffjEDVXUthowaV6J7jeDiWnV4/vw5JiYmdO7cmfbt22NpaVlkFtYpU6ZIPWa5f/uqqqrs2LGDLl260LZtW1Q0tSX28fLy4sWLFyxZsgRlZWUsLCwwNzcvb1HLTHp6OseOHSMsLIzJkyejpaUlb5EEBASkwNDQkO/n/cSQgf2xNDHC1NSMmZ9/zsjRY/K50sfGxoK2pvDbFpBIhw4d6NmzJ1988QX//vuvxPYKCgr07NWbLZs3cfvWbWJjY2jZqnWV2BWICA9n/7692NvXoU27dtUqW6yAQHVFJBJR37kRC/5ZzrjBffl13hwaNXHjmx8X4Oj0/7CznJwc3kRGYGRsImyIVFGWLFmS9/+DBw8W2abSGZAAjRs3fncBvnmDpa1kA1JRUZHhw4cTERFBdHQ0Dg4OlTqhjFgsZteuXTx9+hQnJyfGjh0ruKsKCFQxFBQU2LZzNzk5Odz3v8fnM2fyw7dzUVVTIyMjA2VlZVJTUsjOzsbExIQGDRowceJEOnfuLG/RBSopbdq0Yf78+VK3NzE1ZcKkybyJjCQ7J5vate3LUbqy8yYykr17dpOWlka79u0L5ToQEBCo/Ng7OHL+9kPS09I4sHs7Ywb1RlFJicyMDBQVFUlPS0NZRYXU1BRq29ehYWMXZnwxmxp2ld8rUOAdZ86ckfmYFWKVicVi1NXVefLkCZa2taTqo6CggLm5eZXZeQwICGD27NmC4SggUMVRUFCgYaPGnDp3/t2DfHY2SsrKZGZkYGpmhqaKEs+fP+fWrVuMHTuWtWvXVmh8tkINVRTU1EreL021HKQRKA51dXUiIiL+S14gnW7Q1NTE1s6ufAWTES9fvsTM3JwePj2FXUcBgSqOqpoa/YeOpO/g4YSFhmCoV4Ps7GyUlZXR0zcgOSmJx4GPOH74EH26duDmnbvFhnvIGkH3lYzk5OS8TNe5OWVkSYUYkEpKSuzYsYNevXpx8co1LCwLJxaoyoSHhwtJcgSqLJJi+mQRRyVNrERBOSpDeRFjE5NCx1KzcjCvaUuPmrYoqKgye/ZsOnbsKDxACxSiffv2dO3alYkTJ7J6/UZ5iyNzIiMjsLauKZdrv7LEIkpTcqKkMWtFjVnS0g6loeAYRc0pizjK8ijTUdIxIx5EFj7olP9+H/kmKd/rgvGMRfH05ut8r5t42+Z7XfDzKUo3yvvaVlBQwNIqfwxzclomKKni4NQYB6fGPHn8mHVr1zB56jQ5SSkgiWbNmuHl5UXbtm1p06YNBgYGMh2/woIrPD09GTVqFH/+vrCipqwwIiIiMHuvxqWAgMDHQddu3QE4cuSInCURqKz88ccfXL16lbt37shbFJnzJjJS0H0CAh8hUz79gr/++J3MTPkv9AoUzSeffEJ8fDzfffcd3t7eDB48mPXr1xMSEiKT8Ss0On/QoEFcOH+uIqcsd8RiMQEBAVhWs11VAQEByYhEIkaPHs2+ffvkLYpAJUVdXZ2ePXty/txZeYsiU6Kjo0lMTERfxqvaAgIClZ96DRpiamrKzRs35C2KwAcYO3Ys27Zt4+LFi8ydOxcNDQ3++OMPOnToQI8ePVi8eDEBAQGlHr9CXFgzMzPp3LkzDx8+xLVpU5mPXxpXN1ml4vf39ycjIwMnJyeZjCcgICBfSuo+1K5dOxYuXIhYLBbcWAXycf36dfr160diYiIr1qzNd67gdVaalPilcXWTRep9sVjMiWNH8fRqXqrQDWnK+sjCja883C3Lo9SFpJIT0lCaPgnJxZecKFjGoiieBb/N99rEOH+GagtDDYljFCzJUfC9mOoXLp9RVjdYe7fCi/4F3++D1wVKfRR4b0W5tJoWcIPV0aw6pVEKUvB7KPg9ebRozfGTp6jfxB0QynpUVgwNDRk4cCADBw4kKSmJ8+fPc/r0adatW8eyZcswMzOjffv2tG/fHhcXF6mfYyrk2w4PD+f69escOHCAug0aVsSUFUJmZianTp1i8ODBVSLVuoCAgOypW7cu6enphIaGCp4IAvk4fvw4Xl5eTJs2DWcXN3mLIzMeBwaQnpaOWzksCAsICFQNmnl6sXr5EskNBSoNWlpadOvWjW7dupGRkcHly5c5deoUhw4dYsOGDejp6TFnzhy6du0qcawKMSCtra1p2bIlP//8M38sWoyOjk5FTFvuREZGoqioWCUyxQoICJQPIpGIBg0acP/+fcGAFMjHwIEDadmyJY6Ojjg4OaOqWj2yAb58+RL7OnWEhVMBgY8Yx/oNeBzwUPC+qaKoqKjQunVrWrdujVgs5tatW5w+fZqUlBSp+lfYfvO+ffv4559/aOvdgnHjxvHFF1+gp6dHaFyqxL6S3E3llb0xNy1uREQEpqamFTKngEBFI427t6TfnKxcxuWBNC5snTt3Zu3atUJNSIF8ODg4cOPGDaZNm4aHaxPmz59Pnz59UFBQKOSiKY1Lq6TfUWncPkvjSlu3riNnz5ymRcuW5SZHaSipW2Np3CBl4W4qiYKupR86VlIKulwGP43O9zrjVli+12nHHhcaw3PX4Pxt4tPyj1ngNRgWGqOgW2toVHKxchZ0nYSSZ6UtOEZda8mu1zoe+escSnK1LYqC7reV1c1TmvdSsI2ZhQX6BkacPXmcth0F3VeVEYlEuLm54eYmvadMhV3JysrKfP755wwYMIB58+ZRp04dZs6cSd/h49DU0pI8QCVEJBJRs2ZNQkJCBANSQOAjZtKkScyfP5/w8HAhK6VAPqytrTlw4AAnTpzg66+/ZsGCBcyfPx8nd+8qu2pvZW1N1Js3ZGZmoqxcdReHBAQESo9IJGLap7NYt3qFYEBWcpYsKd7VWCQSoaamhpmZGe7u7lKV/KjwpRArKytWr17NF198wbfffss/rg2Y+ukXjBw7oUq5w7x48YKzZ88SFxdH69at5S2OgICAHNHQ0MDJyYnAwEDBgBQoko4dO9KhQwf27t3LzJkzqaFnwJwff6ZxFYqNzMrK4tqVK9y5cxuHunUF41FA4COnsasbv/wwV95iCEhgyZIleQuWYrE437mCx5WUlBgzZgwzZ84sdky57aXb29uzbds2Tvle58tPp/Hi2VN++u1PeYkjNTk5OZw5c4YHDx7QsWNH7O3tBSUqICCAg4MDjx8/FhaUBD6ISCSiT58++Pj4sGjlWkYM6MOaTdtp6uEpb9EkEhcXx95du9DW0WbQ4CEYGhnJWyQBAQE5Y2llTXTUG1JTUqihXj3ym1RHDh8+zJdffomKigrDhw/H1tYWeLcZtnHjRrKzs5k7dy7h4eGsW7eOVatWYWZmxsCBAz84ptydsT2aNuHw0WN4ezTj7NH99OrTt1CbgvFV8oynOnz4MG/fvmXChAloaEhOTy0g8DEgi99kRcUuv09RcVcljXEKjXv3b92GLuw/dITuA0dgoasuKxEFqiFKSkqMHzuampZmfDJhNL7XrqOkUaNC5i5NrGFycjKbNqynqXszmrq7F3K9lUX8okQZpIhXlPRbLSqWrqQUnEMWsYkFCYstnMQi4kFkvtdNvG3zvS5YLqIouYoqO1EcatM8Ch0rOI+Tc/EeF9LMWXDMgq9LUzqlNH0kxU0WRBbXU0VR8POQ5vck+dp+F7vq2KARBw4dZcLIDxsbAvJl586dqKqqsmnTJhQVFfOO161blw4dOjBs2DCOHDnC7Nmzadu2LX369GHHjh3FGpCVwmdUR0eHdZs28+mMT7h75468xfkgGRkZPHjwgAEDBgjGo4CAQD68W7Xl9IljxMW9ldxYQADo2KkzfQf0Z1C/vmRmVvwCirQ8efwYKysr3Js1q7JxmwICAuVDU6+WHDuwS95iCBTD0aNH6dy5cz7jMRclJSU6d+7MkSNH8r1++fJlsWNWCgMSoHGTJvz2+x9MHDem0irSrKwsRCIR6enp8hZFQECgkmFuaUk9pwY8e1w4c6EsEdVQRaSnVvK/GtWjhER14/t5P6GhocGqpYvkLcoHyc7OFvSegIBAkbTp2JWnAQ/LfR5B95WexMREEhMTpT6vp6cncbFQ7i6s77u+jRw2lC2bNrF540ZGjRkjkzFlRXZ2Nn5+figqKhIUFETDhg1lPoeAgEDZKE1JgoIUdPUp6LJWnJucgZEJoeERJZ5T4OPjfT21etVKmjRpwtQpk4qtkyzJzbs017ukciKxMdG8CovkYeAT3iZnlFuyu5KW1JCm7IAs3EsljSGNi2bBNpFvkvK9NjHOn4leW73wM4y2W/E1ZgvKKY1cGXH5S25kv4jL91rdtXCN64Jum5LcOGVR5qSoa0OSS2ZpXDZLSmncZMsDaT6f8iD3mlPV1Cc2JqbQeQ0VuZsYAv9Rt25dtm7dio+PT14Jwlxev37Ntm3bcHR0zDv28uVLjCTEuVeqb1ckEjFk2DA2rFtXJgOyPAgNDeXkyZP07t0734csICAgkEvQy+dYWFrJWwyBKoatrS1NXFw5evgQAwcPkbc4+bh5/SrRUVEMHDKiSmVKFxAQqBhCgl9gYm4huaGA3Pjss88YM2YMXbp0oV27dtjY2ADvDMUzZ86Qk5PDH3/8AbwL1zt06BCtWrUqdsxKZUAC9Ozdh3nffcflS5fwat5c3uLk8fbtWxQUFLCzsxOyrgoICBQiLTWVkKCX1K3fQN6iCFRBZn72OTM/mUbf/gNQUqo8qjk+Lg5NTS3MLYvfARMQEPg4eR74EId6gldeZaZp06asW7eOBQsW5MU65uLk5MSXX36Jm9u7klIqKiqcO3dOoh6qdMuJysrKfPn1N8yf90OhWiVFIRaLSQwNJPzyZrKzs8tNLmdnZ1q0aMGKFSsICwsrt3kEBASqJlFRkejq6QtJRgRKRcvWrTExMWXHtq1Stc/KyiLy9BKysso3A2r3nn1ITIhn787t5OTklOtcAgICVY/YmDfo6OnLWwwBCbi6urJ7924uX77Mjh072L59O5cvX2b37t15xmMuKioqEj1OKs8y53sMHDyYxf/8xZJF/zDtkxnFtn316AYxB74EQFFVE2PXXuUik0gkonXr1ty8eZPw8HDMzQvHBggICMiX0sSASUJSjE9urEmd2rXIzs4mKS4aTIV6WAIlIyEtm1lzfmDCyME4NGiCayOnD7ZNS0vj1cr+kJVKapYYm07TpJ6npCU31DU0aNO+E9u3bCAnJ0cmbqyliUeTRSydLGIiiyqxIYnY1/H5Xme8jMv32qRDbYljFBUXKWvSLz/L9zrzcWShNqEFynZYGGmWeJ6C30PBsh3SICnmURaUZsyS6iBZlMCRxXsvS0mSho2bsHvLv2WWQaBiMDAwwMDAoMzjVLodSHiXQnb7rj2s/3ct3835ptD5zMxMxGIxYrE4z3gEiLy+o9AupFgslmlW1yZNmnD37l2pdkcFBAQ+HiIjwhGLxWhqakluLCBQBK7uzfjq23n07daRWzdv5juXq/cAwvfMgqxUADIeHiy0CylrvadvYICBgSEP79+T2ZgCAgLVg1cvn2NoZCJvMQSkIDU1lWfPnnHr1i1u3rxZ6K8kVModSABbOztOnj1Pp3ZtqFnThtHjxgHvlOgXX3xOrVq16NPRK1+fzPgIou8cwMStN/BOif755588f/6cf/75Ryaxi23btmXRokW8evWKmjVrlnk8AQGB6sG50ydp074jWtra8hZFoArTb9BQ9PT0GdC3N5euXsfM3Pyd3vvsU2zt7Bg3YSKZEYH5+vyPvfOOj6JaG/Czu9n03itpkNB76L0JiHQsFMGugAXbZ7l6vV7LtSEqglexgICKSFV6772X0BJCCum9bLbN90duIluS3U022STM8/uhOTNnznlns5l33nPekrx9MZGjKnYhBUHgqy8WkJiQwMefzbeK3nNydmboPaPYtvkvOnbuKrppi4iIVLFn+yaefuE1W4shUgOlpaV8+OGHrFu3zmjYgyAISCQSLl++bPaYjc6AvDO1uWtwICtXrOC++8YyfeZM7O3tEQSBc+fOsXHjRlJ2fM30fmE6yix11/f4dh2HVCpl/vz5LFiwgPDwcKvtGEokErp3787OnTuZNm0aDg5ifRkRkeaMKfegEE8nAM6fOMLIYYOr2iIilnDn92bmg5M4sn83i77+in+//yGCIHDhwnm2bPqLvFNrebCjvY7eU13aQHH/R3BxceGrLxaw6KsvCaul3qvONTA0rAUyqZTTJ4/TtXuPOo1pDEtdVI25o+qXrrh2PEWn3cpEKQxj6JfcMJAjKd/kGPaejrrtSE+dtr7cxtxVzeljCoNr2uvuGuV+MVanrTxhmO/BVHkQ/d+jsd/T9aQ8nXbLcK8axzSGvsulqe+YvlzGXDat4QpqjVJSDYE5ZU5MubUGezlV7GjFX2TSmKEGJfTy6yyliLX45z//ycaNGxk+fDjdunXDw8OjzmM2zm/2HXTp0oVucd35x+uvVa2mTpgwgU8/+YiVBzMBdI1ITQlZJ9exYv9NFixYAMCECdaNi+zRowcZGRn8/PPPPP7441YdW0REpOmhVCrZvHkz7777rq1FsRqvvfYaa9eurfb8gQMHqq0T9dVXX7Fw4UKD476+vhw8eNDg+LJly1ixYgWpqakEBgbywAMP8Nhjj93VZSOee2EeA/r25r6x44nr0YOxY8fx9VdfsmzzKVQFwczo30J38fSb+9lqN5xFX30JwNix47Czs0OlUlllF1IikTB67Hg2rFmNnZ0dHTt3rfOYIiIiTZttW7fQrXsczs7OthbFajRH3bdz504mT57Me++9Z7UxG70BCfD1N9/So2tnHp41i/YdOjJ37lx+/updbhRoWHkwFfjbiBQEgY/++RqrL1QUyH3hhReAihoo8+dbx51HLpczZswYFixYwMWLF2nXrl2dxxQREWm6bN68mTZt2lTVVmoOzJ49mwcffFDnmFqt5rHHHiM2NtZkkWGAH3/8UefFwtjzd9GiRXz11Vc8/fTT9OrVi9OnT7NgwQIKCgp4+eWX634jTZSwFi2Yv+ALXnrhOfYfPsrc518g+8QaFm+4zfd7kgGqjEhBEFh+4Aa/nbuEVCJhzrPPMee55/n6qy9JunmTDz/+xCq6zz8gkL4DBnHs8EHCI6Pw8PCs85giIiJNl19Xrmh0tWvrSnPUfXK5nA4drFtirEkYkJ6ensT16MHpU6dp36EjNy6eYHAbH27nKShV6hqRyw8ks/JQKjIHV176vzcA+OWXX5g6dapVa2vZ29szbdo0fvvtN6RSKW3atLHa2CIiIvWDNTLeGXNJWrZsGTNmzKjz2I2JFi1a0KJFC51j27ZtQ6FQMHnyZLPGaN++Pe7u1WekzcvL45tvvmHatGk8//zzAPTs2ZOysjKWLFnC9OnTCQwMrP1NNHEGDRnK3Geepri4GDs7Ox7qZM+JC54cupqnY0RW6j2Al97+gHnz5rFgwQJ+/+1XpjzwoI7u0//+puWV6bRNufG1btuOwoICfv9lBdMefgQnIzsPtcmyagp9V0hjrpSm3CuTrmXrtPWzoYKhe6kyX6F7Xs8d1T1ctz9AwepLumN4ORr0uZN0vTn0XUsBSovKddr6+VGd3XTDafT7AwT46yb4MnBpDfWouW3kGlMuq8ay1up/PheGR+m0HT1q/rwABna3zB25LllGq6Oxuqcawxp/k/rPhuzsbPbv3ct/lzSvDKzNUff17NmTs2fP8sADD1htzCbjH3T/gw+xfNlSABRb3mR6vzCm9gnB2V5GqarCiJz+9ckqJfpAt4oHX6XxOG/ePKsH/oeEhPDggw+yceNGMjIM012LiIg0f1JSUtixYwdTpkyxtSj1zh9//IGTkxOjR4+2ynj79++nvLzcIMxgwoQJqNVqdu7caZV5mipeXl707d+fNatXk7H2NaRSKZ9Na0efGC8UKi3f70lm2sITVXpvat9Qnn76aRYsWMDKlSuZ8sCDzH3ueavqPolEQs8+fWkVE8uf69eIGclFRO5Sli9byoh7RtZoKDUXmrrue+211zhy5AhLly61WobuJrN8MvreMbz28sucPnUKF2RIJBqm9wsDYOWhVHKLVRQqKnYXnh5akR11xYoVTJ8+vV6Mx0qCg4Pp0KED8fHxBASIaYxFRO425s2bx/PPP4+np6etRTGL9PR0g2Pu7u4mXwIyMzPZv38/9913H66u5pUqGT16NDk5Ofj4+DBo0CDmzZunU3/q2rVrSCQSWrVqpXNdREQEjo6OXLt2zax5mjNPPPU0b7/5BsPen0F52sUqI/KlFRfZfyWXG5ll2MkkPD0sgml9QnhrSkf2ZXoxdepUnpg9t950X/9BQ1j85ecUFRbiboWEDCIiIk2H9NtpfP7Zp2zbtdvWopjN3az7goODmTdvHv/3f//HJ598gp+fn0GcpUQiYceOHWaP2WQMSLlczgsvvcSbr/0fn4+oSDcrkUiY1jeUk4n5HLiaBxqwk0k4mZhPdpGKkZ0k9Wo8QsUX6/z580yfPr3e5hAREWmcrF+3lpMnT7Js2bKGm9TLCVxrkbDAocJVcdo0w3iVuXPn8uyzNRejX7duHRqNxiwXnrCwMF588UXatGmDXC7n1KlTLFmyhMOHD7NmzZqqDHD5+fk4OTlhb2/oXubu7k5+fr4ZN9a8GTZ8BO/96x12Z3gT979jEomELuHuHLqah0YQQAOCVsuKQ6lsPZvJzOeeZN68eZQo6+6yXR1HDx/Ey9tbLFsjInKXodVqeeOl53n0sceJjW3dcBOLuq/WrFmzhjfffBO5XE5kZKRVdo2bhAFZmRr4hWfnsvLnZey6rGFoW08EQWDFwRSupJXg4iBDrRFQawQOX8undytPpvYJobS0FBcXl3qRS6vV8ssvv+Do6Mjx48dxdXUlODiYiIgInJzMT+VfUlJCamoqMTEx9SKniEhjpLjc+nFS9YF+nEvl8+jcuXO8MHcOf/31l0V/77ZmxYoVBrEV5iiTNWvWEB4eTlxcnMm+48eP12n37t2bzp078+ijj7JixQpmz55tlqx3c73BO1Pif/ftt4waNYp1s2Oxt5Ow/EAyvxxOw9u1ok9usYqvtyfh5WLHtH5hDFNvokT5otFxTcUBV1fG405uJd3k0P69REa1ZOfWzXh5+xAcEkpgcLBF2QNvp6bg6OSMl7e32dfUhH7cn368oj6a44ZlKpQ5ujF7Kr1SFkK0rqyOk9sajCGJC65RDv24SvJ02+kXDENiBD1ZHfTiBhUFumMYiyPUL0liMibSDIyV6bgTY7GYEr2YUG+9WMvayGEKa5ToaEoxj9ZA/zOrvP/33/0X+Xk5vPfuv3BwsP7vqr64m3XfN998Q5s2bViyZAneVnreNqm/BplMxuzZs/lz0yaGCNl/Jw6QwOODWrDlbCa5JSpyi1VcSSthxcEUpktG0+3NvfUm0+DBg6uKchYWFnLy5EnWrl1L69atmTBhgskvQVJSEj/++CMA77zzTr3JKSIiYj2Sk5MZO3YsX375JT16WFYTz9YEBgYSGmpZAooTJ06QmJjIvHnzaj1v37598fPz48yZM1XHPD09KSsrQ6lUGqzEFhYWWqVWVXOga9euxMTEcOxGLjezSnViHqf1CeHeT46SW6wir0SNoNUCfxeGrg88Pb0YPnI0UqkUtVpNTnY2ly6co7CggJFjxhLUIqrG6wVB4Oih/Rw/fJDe/QbSvVefepFTRETEuqxc/jMrfv6ZPQcONrk66Hez7svIyGDmzJlWMx6hiRmQAGPHjuWll14iIN+DtScq/Jmn9gkBKix2b5eK1ZA7s7PGFheb7bdsCVKplI4dOxocV6vVLFy4kIyMjBqzKJ0+fZodO3bQvn37KiPUFqjVakpKSpDJZCQnJ1NQUEDPnj3v6tV/EZHqGDVqFGfPnuWVV17hoYcesrU4DcIff/yBTCarc01dQRB0dqhatmyJIAhcu3ZNpxxSUlISCoXCID7kbmbixIksWfItmSm6xuPKQ6lVei+3WPV3dlb7D4l97o16kcXdw8NoHcibiQns372TiVOrNyDVajV/rfsDjUaNl7cPXj6+9SKjKQRBQKVRotSUYy9zIDk/AW9nP3zwtIk8IiKNmUvnz/HinCfIzc1l/Z9/4X+X5PxoLrovMjKSgoICq47Z5AxIX19fWsXEsOLwOZzlfxuPW89lMbKTP9P6hlbtTFYZkVM6Mn/TjQYziOzs7GjVqhX79u3j/vvvNzivUqnYsmUL165d49FHH+X48eMNlslOrVaTkJBASkoKiYmJ5ObmolAocHFxoby8HGdnZwRBwMfHR3x5E6lXXPVcX2zh0mqpS5JCoWDLli188skndVqRbEqUlpayZcsW+vXrV6dEYQcOHCA7O5tOnTpVHRswYAD29vasX79eR4muXbsWOzs7hgwZUifZmwuCIFBaWsql+Kt4udgxo9/fxuOWs5mM6hzA1D4hvLTi4h0lPn7iH0++iKNjzW6c+m5qdUn3HxrWgqKiIhKuXyOqpaH+yMrMYMfmP3F09WDwqPtY8f1ipHJHg1IQtUW/lMWdlJYUUVKUSXZGKrlZ6ZSWFFHmUo5c7oBCUYJ3uyDSixLpkxuEVFK9G66++6XROfVKexQm5eu0A/XKdBhz8zQ1pr7Lqn5JEu/+4QZDWMM19HpSXo3n9T8Po5/P0Jp3qPXLrfTp3aKanrbFmDu4Ndxc9cewRvmpurrwXrt6hQvnz3P+8hUiIiPrLE9ToDnpvqeeeor333+fiRMnWq08SJMzIFUqFQqFAoVKw+ODo0Cr0jEeJRKJTnbWUqWG3ZeySUxMJCoqiqKiIq59dR8AzhO/oXXr+gkA7tmzJwsXLmTz5s1Axe6oRqNBoVBw+/ZtAgMDeeaZZ3BycqKgoMDqBT6Ncf36dTZs2ICXlxdhYWEMGTIEX19fXF1dkUgkqFQqZDIZa9eupaSkpN7lERFparz+6ivcf//9d1WB+02bNlFaWsqkSZOMnp8xYwbHjh3jypUrVcfGjx/P+PHjiYyMxM7OjtOnT/P9998THh6uk8jAy8uLp556ikWLFuHm5kbPnj05c+YMS5Ys4eGHHyYoKKje768poFKp2Lx5M46OjnTuM5BpfYqrjMc7dV9ldtZDV/P4/dhtHlgwirav7EAmk3Hz5k2UfzwBgHTKMrOKYVuKnZ0d7Tt2Yte2TSQntUUikSAIAmq1CkVZKWmpKfQbOISQyFiUynK0Wg2+/vVb51Or0XD57BGSEy4TGhmFt38Q0W064+zqTnFWhRGmUimRSqVs2/AD2AkgOt+IiFSRm5PNe2+/wR/rN9w1xiM0L91348YNAgICGDVqFMOHDyc0NNRoFtY5c+aYPWaTMyAlEgm9evch+dYtykL7s+/P33QUaGWfO41IAQlZy2cS9fZ+Er7/u9h36ZqnEV7fXS87k15eXowZM0bHNVUqleLo6EhcXBxhYWFV89ZnrApUJPvZt28fJ0+eZOLEiURW8wCQyytWqJydnSktNSz+KyJytyIIAh++92/27N7FyRMnbC1Og7JmzRq8vLwsWhGNiopi5cqVZGZmolarCQwMZMqUKcyePdsgacGcOXNwdXVl5cqV/Pe//8Xf359nn32WJ554wtq30mSRSCR06tSJyFatOX70MCuOwlY94xHQKfFxLrmIXw+nMefo7wT3ebDKeATQ/v4wzN5cL7K279gJmb1uUik7OzscHZ3oP3gY7h6eVttxNEVZaTEnD2xFbu/A4DHT8PLz1OtRYUDK5fYIgoCdTI5ao8JeKmsQ+UREGjvZWZnMfGAiE+9/iBH3jLS1OA1Kc9J9CxcurPp5w4YNRvs0ewNSLpfz0aefkZmZwYpfVvF4Xz8dBVrJnUbklrOZ/HYkDefz59GU5uv0u3BkJx16D7O6nDKZjO7du1t9XEvQaDScO3eOs2fPAhVb2ObEgioUiiZT005EpCFYtPAr/vpzI1t37LoriibfycqVK2s8//PPPxscmz9/vtnjSyQSZs2axaxZsywV7a5BLpezYMECbheW07tzW/44J2WynvFYSaUR+fOBFLafz0L2yTs8/ImhLsrKyqqXXUhvH186dzOdAKI+F05Ligq5deMyV86eJjK2Iy3bdjU5l1qtQqB+F3NFRJoSKpWKGVPGM3jYCF5585+2FqfBaU66b+fOnVYfs8kZkFDxofv7B+Dm6kr7B95BkvZDtf2m96vY6UvLU1C6bg5yme6WrWr3ewi9htpUadSHIk1MTGTdunX4+PjQsWNHOnfubFZ69bS0NG7cuMHIkXfXSpNIw6Mf82iLmEhjsSUhnrq7J6dOneKT/3zI0aNHiWphWQY3ERFrIZfLcXNQ0aNHD3Zu38a4waOQqAzLPUCFEflw/zBk0grdV77mKQPdV7kLaSrm0ZyyHvWBqfIQRWWG5yvcVY9x4/JZwiJjGDB6PN5+5rnIXrt0nKCQaOyjdT10pHolNuy765boMIZBHGD7muOnaordrEQ/TlK/TId++RFjpUAwIUdcrO6Cwt4TKQZ9DGIv9UuSmIjVBCjfnqDTzjySVKNce6Z3MTh23+M1L9Cb2uW2VVkPfZ1jq9Ig+n/XwV66ek+r1fLO+/8mKDCQ9977NxKJxEBHizQdQkJCrD5mkzQg5XI5H382n4emTWfqA1P45bEoPJyNf7ElEgnT+oai1goGCrSS+tqFbGi0Wi1lZWWkpqayYcMGJkyYQHR0tEVj3Lx5k7Zt2zapunYiIvXBlStXeO211zhw4ABffvmlxX9LIiLWRi6X88PSZfzfyy/x9eYDvDbMp9q+5ui+rKwsnN0860laEwgCWGnhVK1WodVoOHN4N0qlghETZuDobFn955zMVDp2H2wVeUREmiqCILDq11/4zwfv4+bmxq+//yHuyosYxfyKv40MuVxOj549GTtuPF9tTayxr0QiqVaBwv92IRsoC6oxrLEDeeHCBT755BO+/PJLVq5cyf3331+rF96AgABSU1PrJIuISFNn9erV9OvXj379+nHz5k2mTp1qa5FERIAK3ffPd//NvvOpnEmqOS27Kd2n/f1ha4tnNoIgIKljthqNWs3xfVv5c+W3/PXrdxQV5NF7yH0WG48Abh4+5Odm1kkeEZGmTHl5OY/PmskXn8/ny4WL2HvwMMH1sHMlUv8sWLCA4uJii68rLCzk888/N6tvk9yBvJN/vvtvunVaR07/j/DZ/3+1HseWu5CCIKBQ/O3modFouHnzJnZ2dri4uFQZmA4ODlUZU+8kNTWVzZs3M2vWLPz9/dFoNNjZ1e5XGxERQUFBAdnZ2fj62qY+l0jzwxx31IZwWTXHXWjnzp0899xzbN++nc6dO9e7TCIiluLh4cHHCxby8cefsDTGE0l5fq3HKi3K14mFrE0Zj9qW/tBqNaiUSuT/K6RdXFREXk4Wjk7OKFSg1QrI7GQ4Ojljb6/r5unmJOfkoQPIUPPQY3OQSmUUlalqDNWoqVxGcFhLblw5TXh0O90T97et8R6MjWmOS2pNYxi73tSYzuPbWDSnsXm37ryu0zZwTwWE42k6ba2ei69+kQ/VFUNXWnmsriutQy/dkiNlf17QaZ/+13cGYwyaqluD283Zvsa2rTDlsmqNEh21Qd9lFeDZ2c9QWlbKzr37cXJyEl1WmzAbNmxg5cqVTJo0iXHjxpmsOHH+/HnWr1/P+vXrcXd3N6tMWZM3ID08PJg26zF+XbGMOXUoFWTLWMjc3FzWrl1Leno6Dg4OnDp1Cnd3d6RSKWlpaaSmptK2bVvKysrQarV4eXnRtm1bWrduzenTpzlz5gzjxo2rqlNTW+MRKpL/hISEkJGRIRqQIncdx44eZdasWfzwww+i8SjSqBk/cRJvvvEGV2770Nq79uPUZ0bWmpBIpSiVSlb8sJjuvfuTmZ7GrZsJ+PkHUlZWys2EROwdHHBz96KstAQHJyfc3T3pFNcHlbKcs2dOUVyYz7D7HsTOruJF15w4/+rw9AmgqCDXWrcnItJk0Gg0fP7Zpxw5dIjDJ06KIUzNgC1btvDDDz/www8/8NNPP+Hr60vHjh1p0aIFHh4eCIJAQUEBN2/e5Ny5c+Tl5eHu7s4TTzxhdlKfJm9AAvTtP4gP3vkHRHiA1oyCvNVw+pORtHpmNW5ublaUzjSPPPIIKpWKo0ePolQqeeihh6pqwKhUKhYuXMh9991HREQEpaWlZGdns3r1ao4dO0anTp14/PHH8fauwxvEHahUKm7evMm9995rlfFERJoK58+d5f5JExh5zz2NO4mUhwO411wc3igyy3ZFRBo3UqmUHn36c0XqTmsu1mms3LOb8Owwsk4GmKU4Ojox9ZGnyM/N4ca1K/j5B9Jn4FAcHSteXi9dusKxg7sZ98AsJBIJJcWFJCfeYPvG3/Hy8Sc0ug3hLVtXGY91JfN2El6+9VuTUkSksaFSqVi96jf+9fZb7Ny7HxcXy92/GwxR95mNvb09Tz/9NI888ggbNmxgy5YtHDlyxCAbq6urK927d2fkyJGMHj0ae3vzd+6bpAGpv63uGxjC1SvxpMT9Ret2HSj+YWztBlaXc+2r+wCIeHqN1YwyU1SW1jD20iqXyxk+fDhbtmzhySefxNnZmRYtWvDiiy/WiyxarRZBENBqtfUyfmPEGq6T5rh6mMo62pwxdq+Wfu71kb2uUq5r167Rp0ccAIsWLarzuCIi9YH+31FAcBg7jx9nxMJlON7ag+S08YzkplAd/Iqsg19BzEP4DZneYIakm7sHbu4ehEVEGZwLDY/i8vnTxF84TbtO3XFz96Rtp2607dQNMJ6FVR99F01jGUEr0Wo0YEYqBP3sp9ZA3z3Vzcly3WDO52EKfZdV1a8Xqun5N3bRuu9Jkpa6bamX4eeV+vtenbZvWIRO2/ML3Xe4UaGmy8LoZ1WtrVu1tbFVllV9qpPjyUcfYfXvq3jhhRcYMqBfA0slUt84ODgwZcoUpkyZglarJS0tjdzcXCQSCd7e3gQFBdX6ed9kk+jcSWBwCP/88DNm3T+OVct/wly7OPypP+j82i7waWlw7uY3E60rZB1o164d9vb2nD59ut7ncnBwIDY2lvj4+HqfS0SksbBu3ToAduzYcdfVeRRpujw060ncPb2YOXEkN+1amX1d1PObCXpyjeGJq7+QtbPm2mcNSY++gzh/8ihlpaWmO9eRkBatyMlKRams3sgUEWlurP59FQAffPCBjSURqW+kUimhoaF07NiRDh06EBISUqfFwmZhQALcN3EKK9Zt4b9fzeeQrKdZ1yT9dxKF1w9DznWj53NzG0c8hEQiYdSoUezevVsn2U590atXL/bt20d2dna9zyUi0hjIzMzkzTffZOjQobYWRUTEbJxdXHn306+5f8ZjzJk5BXW7yWZdl7DuU9KXPWr85LUVjcYDxcPLh6iYtpw5frDe55LZyYlo2YHTR7bX+1wiIo0BtVpNQGAgpy9cFOMeRSym2RiQANGtYnjr/U9YumYXSMzz401YW3262sa0CxkUFERMTAz79u2r97lCQkIIDAzk559/RqVqHG4gIiL1RWFhIT/99JPZgeMiIo0JiUTCpKkzadepC3tuSgCZ6YuSdiIo8qs93Zh2ITt170VSwjVys+u/xEZUTCdystJIuHq23ucSEbE1q1f9RqtWMbRsab73gohIJY3DOduK9OjTjxeenIXi3p44mnN3mpp32XJzcxssFtIUQ4YMYdGiRXTr1g0fn+oLSFuDMWPGsHbtWk6cOEHv3r3rda7mSG3KVtxNMZFg+n71Px9rpD8P8TRcZV24cCH33HMPLVsaurKLiDQVevcfwsH9+xnWVVP3wa6twG3Mw0ilUrP+zvTjz/TRj0czVmKhqFRp9FoHRyc6x/Xh2MHd3DP2/hozpZuKHdSPgTQsUyGhY7tBnD+9Fz+PMBwcnLH3rDnm0VhcZV3LeBi7D/1jabk1u/UaKy+iL6t+PKd7uKdOu/AeI8/EHL15W9b8fqQfEwkQ0LWDTluuN4++XEY/D73vkP53TP/71FjKeuhjLDbR1N9cbeI79edxspPy6Uf/4euvv77r3j1ErEOz2oEEcHZ2wdvHlzOl1smm1ph2IV1dXenbty9bt26t97m8vb0ZOnQou3fvZsWKFZQ2QAyKiEhDU1RUxIIFC3jzzTdtLYqISJ0Ii4jiwtnTFGmcrTLe9e0rrDKONYhp25HysjKSEq7V+1z+geEEh7bkwJ7VJN44hyCYkVlHRKSJsWrVKry9vRkyZIitRRFpojQ7AxLgxTf+yT+/305yTplVxmsssZAAPXv2JDs7m+vXjcdtWpOIiAheffVVAgIC+O677xpkThGRhuTll19mzJgxtGljeRFuEZHGRKeucYRHRvGf3fmoNFaIYbywrNHEQkqlUnr0G8KJQ3vRqOu/8Hqbdn3o038Ct9NucObYDspKi+t9ThGRhiI7O5tXXnmFDz74wCa1z0WaB83ChTUmUDdr4pOPzkCmKeOxf/wfXz/cmlaBrnUa/+Y3E/F+Y0+dxrAWdnZ2jBgxgq1btxIZGYlMZka8Sx3nGzZsGOHh4axevZq5c+dWlR1prFijLEddsUbZiuZOfXweptyY7nTj2bB+Hdu3b+fMmTNWl0NEpCGIDdEtb7D4+6U88+gMXvjlIgunRdf55fD69pUEDHjQZD9ruJebIii0Bd6+flw8e5KO3XqaVbZC3/WxVM810lhJjsKkfACcnN3o0XsMCcmnuXT2IN163wMYuoF6Gykxoe8+aqlLqzno31tGpq6Ra8y11lQJEoNr9N1VjZGne43meJpO2+n+tobXPNi+xjH0ad3C07QcehSWmHabbi4Yc//Wv/9KN3NBEHjqiSd46KGHGDRoUEOIJ9JMaZY7kACPPfEkz7/6Jj8fbTy7h9YiNjYWuVzOuXPnGmzOVq1a0aNHD77++mt+/vlnNm7cyMaNG1m0aBHr16+noKCgwWQREakrOTk5vPDsXFasWCGW7RBpNri6ufHTr3+QXazmeEJ+3Qe8sLTuY1iR7n0Gcub4QZRKw/i++sDOTk6bDr0pLspj37bfOHVkG/Hnj3DswF8c2r2GxOvnG80urYiIOfz+y3LSUlN4//33bS2KSAOyZo2Rsk13oFKpeO+99ywas9kakACzHn2MI1cyiU8ratB54+PjOfXBIE59MIiU4xvrRcHk5+fj5eVl9XFrYsiQIcyePZtevXoREBCAl5cX48ePx83NjW+//ZajR4+yfft20dVVpFFRWlLMc48+SPyFisyKWq2Wl154jgkTJ4kJokSaHTKZjMdnTOKrrYlotA0Xv1dYWMjVz4Zz9bPhZCwaRXGx9d0+C/JycXVzRyZrOOcpmZ2cAcMfoHOPoQSFRmMntyc0PIbY9r3ITEtk/5Y/SLx6gbNH96IoE3MFiDQejuzbwUf/eKHqe5l8K4n/vPs2H3z2Bfb2zXdHVsSQN954g5dffpmSkhKDcwkJCUyZMoUVKyyLe28WLqzV4eXlxb8/XsC/53/MkgedcbI3391THjuKDpP+z+I5k5KSKF3zdFU7c/tnZGbl0nX0TIvHMoZKpWLlypX4+PjQokULq4xpCW5ubri5uekcCw4Opk2bNhw8eBCpVMrGjRt56qmncHa2TjIHEZHaolapGDcojrzcbC6eO03/i5dYMP9TkpOTWfztEluLJyJSL0x96WPW7jnH93uSeHJIhGUXR99DzPiXq5rmuKOq1WrSv5ukc6xk2RRKRnxFgJWyG2elp3Fw1xY69+hb76Eb+kgkEtw9fXH39NU57uUzhsLSFNKTb6IsLyP+7DE69RzYoLKJiBjjwpnjvDH3YdzcPdFoNXz+xQIevn8Cc198la7de9haPJEG5sknn2TJkiWcO3eOzz77jA4dKjIh//7773zwwQfY2dkxf/58i8ZslgbknfFnTz/xGOtX/8rOiymM6WJ+ZlbVlc2o1S9hZ2fZR5SzwoiheOZHtCNnoNFosLOzMysuRRAE1Go1crlunMO5c+eQSqU8+uijjSr4OSgoiMmTJyMIAjt37mTJkiUMHz6cyMhIHB1rjrtoDtQmnu9uT51taRkPfYylPzfEBalUglxuj4uLCyMGD8TJyYnt27fj6ym6roo0bfT/hu5s/7HqV1q3DGdGvzCLFk+5sRW1+oUq3WfO39mtbV8bP7HtWZxbb0Jw0NV71ZUhEAQBjVqNnVyOu4vuvf2xZwftuvcnJLoNRWUqo2UqTBHgrxu/rx83CNAqLtRknztRF/oTGeCPQlHC6RPbyb6RRUhYDJ5eAX/fs155DP2YSP22sfhO/ZhHg9IWevdWZCTu0uLYzO7BBoeUJ9KMdPwb2YiomscENNsSdNr6cZLmxIzqx/3px/yZEyPbWDFPt9WMl48fAEWF+ezevJ4x50/ywEMPMe/5Z+s8tkjT48UXX6R379688sorTJ06lWeffZbLly+zefNmOnfuzGeffUZISIhFYzZLA/JOJBIJc559nheeepgRHfyxtzPfa/fy+s/M2oUsLCzk+jdTkI/6tNo+x//8keXbzxAZGcmIESNQbpgLUi/cJn1M0e9P4Dt9WdWOoiAIfP755yQmJjJ//nwdI1KlUuHr69uojMc7kUgkDBs2jICAAI4dO8aGDRto27Yt0dHRuLq62mTXVOTuJj8vD41GzZgJk2nVIpg5c+bg5GRYD1JEpDkREhJCr/ZR/HIohUcHhVt0bcKfC3R2IaujsLCQ9B+mgsa4MafSaHnmqSeIbduRB2fMomz5AxUnuv0bTr4HlMPYH3D19UUQBFb88A1pyUm8+Oa/sdNbPNVoNLh7NY6azMZwdHQhrte9XLtynEsXDiFoNYSExeLs4o7cryVOzo07+ZxI8+LqxbNVPz/8zIvcO6wv94wcZUOJRGxN79692bBhA0899RSff/45AI888ggvv/xyrbw6mnUMZCVjxoyhQ6/BfLY12aLrKnYhTbvvJCyZBupyVBurX9mxO7+MiIgIVq5cyQ+vjquoLaXNo+j3JwDIXv4wCoWiynhcuXIlkZGRBjugMpkMjcYKhaLrmQ4dOjBz5kxmz56Np6cnZ8+eZfny5aSmptpaNJG7iB+++Qr/wEB+/uMvXnrjHV5++eUmbzzK3R2w93S0+J/c3fqZIEUaN1+s2MRvJ/I4fdPCJGc3tpql+9KXzqrWeASwk0oIzjvCutW/8d2cwX/XVDz5FvC/6zY8ikqlYsUP37B1wx8Eh4UjM+L5I5PKEBowprM22NnJq0qAtOvYn7LSIpISL3Bs719ish2RBqO4uIjVP39Ln8H3sHbveWY8+UKzMB5F3Vd31q9fz+XLl3Fzc0MQBA4ePEhSUlKtxmr2O5BQsSu26L/fMaBHF3ZfymZwW1/TF/0PU7uQhYWFaBWmk/RIJBIGtfYhtVcvtqytyGw3rW+ozk7ixc/uYcXBFHamujJz5kzmzZtnsNMolUqblCJyc3Ojf//+QIX77apVq3jkkUfw9PS0rWA24G53WW0I7nT92b9vL98s+ITly5czZsxoG0olImIbWoSH882Py3j2qcf5/Wk3nOzNXzOubhey8jlWWFgIypp1n0QiYVrfUMjswpbV34Om3EDvCYLA90/1YOtVGVMeeYwnZj+LRCIhPVc32YOXuwP+nvYE+lbE1hu4cAJpuTUnsdF3azTmKmmqj/68xsplAAR4RRAQFYFWq+XkoS2c2L2V9l0HIpVKa1XWQ18u/dIW8bfya5TTHPTlqixpUhP2kZ4m++ij77KqX14k2Nt0/gRLy3JUlrGwBGu4kloDU3HIwV66i6Izn30cmaBm3ZpVVQum4vvH3U1ubi6vvfYa+/btY+DAgfznP//h+PHjvPXWW0yaNIk333yTyZMnWzRm4/jraADc3d15/pU3OLh/H0+9tJS0tW9SnHDM5HWmYiETlkwzWwbJ2Z+YFiRAJ3+2nM0E/jYiBUFgxcEUtpzNZGQnePDBB0k/tAL/Xg/pbC2XlJQ02ZjCjh07Ul5ezpIlSwgJCUEul6NUKikqKqKkpITo6Gj69euHj4+PrUUVaQZ8/OGHFBQUcPbsWcaMGWNrcUREbMI9I0cRFhlNXs836TRkCNcW3Y9Qlmf6Qr1YSH3M1X0SiYRp/qfN0Hv+jHU+SXHKRWSlmeATB9IKg1cQBMpKSrC3b3o7CVKplC69hnPq8FYO716Lo5MLHgEeKMpKUZRWxFdGxrYnMrYDdnbiS75I3dBoNKxZ/TsAuTk5hISGmrhC5G5g3Lhx5Ofn89prrzFr1iwARowYQfv27XnppZd46623OHz4MJ999pnZY941BiRASvItQsPCAHDyizLLgAS4vX8pYYMfMzhu7u7jnVStyIKOMr1TiU7rG0r6T1ORyB2RObjg330CUKFEjxw5wkMPPWTRnI2JuLg4wsPDycvLQ6FQ4ODggJubGw4ODly8eJHvv/+eDh06MGTIEBwcmt7LgkjjoUu3ruzZvYsXXnjB1qKIiNgMQRBISU4mJKxC7/h2vIeso7+adW3O4Z8J6P+IwXFLdZ+5ek9SlknplreRyJ2hqxRC4wBIvXUTAQEvH/O9hxoTdnZyuvcdTU5WKlqNGmcvexydXXB0dkWlLOf6xdNcu3iajnH9CYlo1WhzHIg0fio91KZOnyEajyJVODk5sXjxYtq3b69zPDg4mBUrVvDll1/y3XffiQakMS6fO8PCL7/gr7/+wtVBjuvQpwkb+jRnFz6IpjC9xmsFtfEYD0t2H+9EX5lWKtQqJfo/5SGoFKRs+4J0+2g6duwIVLiEqlRNN7sYgL+/P/7+/gbHBw4cSFxcHNu3b+err77iiSeewMPDw+Lx65rdszZjiliO/u/B1Gesf97Y7/HOPp3at2fKlCm4uLjUQUoRkabNu/98G0EQaNmyFQBhQ5/G3sOf1G1fmr5YU2707+76t5brPnP1HqoyBFUZkgMfIZm8tEJXlHujNSP+Ud9tM+latk67T2/dJG6p2abrNl775ZxOO91H173SvbNhdnd91097T0ekUil+AWF/HxRAUwJS7OgYN4yczDTOHdtH4pUr9B95n8GY+i6sqVm6Lr7muKzqZ5Q15Uo7aFSMwTH9z0xfLnPcT/VdjVuH6ep5S91TjaGfxVcfY+6p5pSsaQj05bDElVYul9Ov/wCmT31IfG8RqWLNmjW4uhpP5CWVSnnhhRfo06ePRWPeFUl0AK5cuUJpaSkDB+rWaOo091diH/kWqb1Ltf982g8zGK82u493cqcyrUQ/NqQS9Z/PodVqkUgktG7dmvj4+FrP29hxdnZm3LhxdO7cmcOHD9taHJEmjEQiYdeuXSgUxmOURETuBnbu2M59Y8fp6JaA7hPp+sYeo7pPYu9c9c+jzRCD8cyJfawOS/QegLC6oixWQGAQEomE7MyMWs3bFPDxD6b/PZPJzbpNfk6WrcURacIUFRVy8OBBW4sh0oiozni8kx49LKsPetfsQE6ZMoVHHnmEwsJCg10tl6AYOr/8l0XjJSyZXid5KmM/7mTFwZRqlemZ/1Qocq/RCzh27Bh9+vRp1olo7O3tKS6uuf6WiEhN2Nvbk5OTw9mzZ+nZs6etxRERsQmzHnmMvXt3Gz1nTPeZ8tBIXzar1rJYqvcAMhZVZI/sFP4kRw/uZczEB2o9f2NHIpEik9mhUlpe41JEpJKzZ85w9swZ3nvvPVuLItJIOH78uFn94uLizB7zrjEgHRwcePrpp7nvvvvYu3dvnWMM5J5BlKcX1thH4hlGl9k/k5eXR+LiCVXH9RMH3BkLAjWvyF787jGSruaifMQwLqU5kZycTGxsrK3FEGnCTJ48mYceeoi2bdua7iwi0kwZOXo0C7/6gp+XLmXGzJl1Hk/uEYQqs+YdyOgXtiCTybj62UigouxUXfQewPXN/0LWa26d5W/MqJQKykqL8PD2s7UoIk2YL776mu1bN9taDJFGxIwZM8yyey5fvmz2mHeNAQmwYMECOnXqxNKlS6uyENWWdo/+1+DY+cPbUe1+v6ot5CdTWFhI4ncP/n3MiBKtLsGA/i9bodJwPrmQwW19kUqbt/dxr1692LRpE927d7f62GJcQOPE1M6HObGrd/aJj79My5YtcXNzq7NsdyNHjx7l4YcfNnpu06ZNREdH13i9IAisWrWK3377jRs3biCXy4mKiuK1116ja9euACQmJvLrr79y9OhRkpOTsbOzIzo6mscee4yhQ4da/Z7uNlwd5MRERfDTjz8yefJkJowdg2ugYcye/jU10eHxb3XagiBw+qvZUPz3i8eNlR/S9fF/UZPxaK7eA0jNLSO3SMmjqms1xsfpx+N5h+p6G526lFnjvYFhXKCQp+sCL/ExHePnHu6p09Yv9aHM12sn5lf97KH25vLpk7Rq163GOYpMxDyG+BrK2TLcS3cMvc9L/5rCEsNnrn6spanYS/05ANIv6Loix8U2vMHcWOIdjaEf82hpTGRC4g169epldbnuFpqj7vvwww8NjqnVapKTk1mzZg2hoaE88IBl3h13lQEpk8n49ddfGThwIKNHjzaayKW2CIKgYzxWcn3hJOw8/VHnp1arRKH6LHWV5zVagR0Xsgj0cCDSz5lb307G9409VpO/sREVFUVpaSl5eXl4eXmZvkBERI/zZ8/SuXNnW4vR5Hn55ZcN3FpCzcju9+abb7Jt2zYef/xxunTpQllZGRcuXKCsrKyqz8GDB9m3bx/jxo2jQ4cOqNVq1q9fz+zZs3n99dfrvNAnUkGfPn2YNWsWzz//PL/99ptVxy7LuqljPAKQubfi9yy1R9CU11rvAWQVlrPjQhb3dPJHItFNaNMcCfSPIOP2LZMGpIhIdZw/e44X571gazGaPM1J902YMKHac4899liN56vjrjIgAdq3b89TTz3F8OHDWb16Na1atbLKuBeO7KjmjIqI6Ytxc3Pj448/ZsvZ9wyzzv2PmpRpQmYJCqWW0Z18kEorrsvOzsbXt2mmNTdFZcKgy5cvW5wZSkQEIDEhweRKoYhpIiMjLTbEt27dytq1a1m5ciVdunSpOj5o0CCdfqNHj2batGk6z8KBAweSlZXF4sWLRQPSirz55pt07tyZF154gY8//hh7+7pnuhQEgfhfPzZ67vLnk+jy+lY+//xz9qQvZ2Qn4zuMNek9QRA4npBPlwgPQr0rCqIX//AWro/+u86yN1Z8vIO5cv005YoyHBydTF8gIqKHqPusw92i+zw8PJgyZQpLliyxyJC86wxIgPfff5/Q0FB69erFM888wzvvvFNtseTqKC8vJ2HlC0RNXVDt7mMl1xdOosMrmzi9+cdqjcdK7lSmaXkK1FoBENh/JZfh7f2qjEeg2e9Cenh4UF5e92QClpaLaMzUpgSJPo3l/uuj3MqdhEdEsH2LGAdiC5YvX0737t11FKgxvL29jR7v0KEDx44dQ6FQ4OjoWB8i3nW4uLhw7NgxHnnkETp06MDChQsZPny4RWPcqfccHBzISbpkuPtYRSlFRUUkJiYyKEzLtB6W6T25TMLV2yUUK9TEBt3phn6WYC8nrpQqDcYx5U5ZWmRan+iPkd7S+He0En33VGPou6xyPVe3fcccMkB6XU5JbhGCy9+fl6NHzX8H+u6nxkqUmHI/1XdZNVUKwxyMjdF6UnsjPaunyNjvWs+V2RqlPywpl9GYCY+I4ObNm7Ru3drWotx1NFXd5+7uTnJyskXXNO9AumqQSCTMnj2bs2fPsm/fPt5/v3rjrzqS1rxJ2e3LJK15k0tfzjDRW8X5T4Yzb2jNxuOd8k3rG8q80dHIZVLUGgEEgQAPw5pN2dnZRkZo2giCgFKpRCqVWsWAFLk7iW7ZiuvXr9tajEZHeno6KSkpOv8KC6tPCPb222/Ttm1bunXrxlNPPcWFCxdqHF+lUnHmzBliY2OZP38+ffr0oW3bttx7772sXbvWpHyCIHD06FHCwsJE49HKeHl5sW7dOhYsWMDUqVMtLgl1p94TBIFbK+fU2P/6wrFM9z/LtB4eFus9gDKVBj93Bxzkuq8qVz97yyK5mwparRa1SolMZodaZWg0iYiYQ3TLlqLuM4Ko+4xTXl7Ohg0bLPZobB7LLbUkNDSUX3/9lbi4OORyOW+88YZZ15WXl1OceAKg6v/mUKkUTeERO4CCK/uQyyoUrpO9jFaBrmw/n8XITv7Imvku5OXLl1m1ahVyuZz+/fvbWhyRJoqHpwcFBQW2FsPqOLg5mNyNMEa5pmIBato0wyLwc+fO5dlnn9U55ubmxsyZM+nRoweenp7cuHGDb7/9loceeojly5fTqVMno/Pk5+ejVCpZu3YtgYGBvPXWW7i7u7N69Wpee+01VCoV999/f7VyLl26lAsXLvDBBx9YfI8i5jFq1Cg+/PBD7rnnHv744w+zkpXp673b18+YNZe5es930NNk7/mmSu8BxAa5svb4ba7eLiYm6M46ZkfMGrOpcWDv75SVFuPs6YZUJrO1OCJNFE9PzxoNo6aKqPtqz+uvv270eEFBAWfOnCE3N5dXX33VojHvagMSIDg4mBMnTtCrVy969OjBsGHDTF6TtObNOs3Z4sEFpNQwhmt4Zwqu7NM51iXCgxUHUyhSqPF01nUJOfXBICKfWVuVbEahUHBj2TNEP7y4Sa7gt27dmrZt2yKTyUQDUqTWeHp4kpOTY2sxGh0rVqwgUC8Tp7u7u0G/tm3b6pRA6d69O0OGDGHMmDF8/vnn/PTTT0bH12q1QIXB8e233xISEgJUJHJJTk7m66+/rlaJ7tixg48//piJEycyadKk2tyeiJk8/vjjODk5MX36dE6ePImLi0uN/fX1Xvrv8yyazyGiJ8rU89XuRDqHdgAnLyjLqzrmZC8jNtiVy6lFegYk8Otk6PoBxMT8fUyhwPnw25T2fheaoO7r3mMUxw7/SYdug3B1E5PHidQOD09PcnKan3daXbmbdV91O6AeHh5ERkby+uuvc99991k05l1vQAIEBQXx/fff89BDD/Hqq68yZ84cnJ2Np+q+cxW2ttze/B+D4s36BHSfyIXvHkOZdQOAg1dz6RLhYWA8VpK4eAJe/9uJvPnbS5RnJ3Lzt5doPfPrOslqC6RSKRMmTOCnn35i3759DBw4sE7j1SbWrjHECVoj3tGcVOWN4V6txZ334hIajCAIZGZmWjXjclMnMDDQrExyxvDz86Nfv37s2rWr2j4eHhXuilFRUVUKFCpcFPv378+iRYvIycnBx8dH57o9e/bwwgsvMHz4cLEAdgMxdepUdu7cyYABA/jkk08YMmSI0X7W0HvlN48S0Gc6IYMeN3q+uFxFzOxVAFz9rCI2s1ih5kJyIWO6VlN65NQbELO6qul+6kMoTq74/3Ajq/j+ukZoRmaxQZdrx1NqvA9BL37RqKOpl57xqneNffdgo2PbezoSN3g0CdcOENM+HA8vH6P9wHT8oql4UDAssWHONZZijdhEYxiLi7SEYK+mk6DI0tjMVjExLP/pYD1J03S5m3WfpeEK5nBXxkAaY9iwYezdu5ejR4/SqlUrFi1ahFJp+ICq6+4jgKognZKSEpP92j/xPQC38xTkFCvpGuFZY/9THwzi3OIZlKZeBKA09SIKhekA/8aIXC5n3LhxnDlzxtaiiDRRJBIJ7du3Nxm3IGIZlaus1eHo6Eh4eLjRc4IgABjsQu3du5e5c+cyYMAAPv30U2Si+16DIJFIWLJkCa+88gpPPfUUQ4cO5cgRQ/dQa+g9gIyjq1Grzai/Z1+xG3o8IZ82IW74uNZghPw6ueJffj7kXK04lnMVmqju8/IJJKJVG1JuijFsIrWjbdt2nD9/3tZiNDtE3aeLaEDeQdu2bVm9ejUbNmxgw4YNdOzYUceAscYqbCUJPz1mVr+ub+yhVKnB01mOnUz3i6fSaKu+lJWo83SzKN387SXgf3UqVXXf0WpI3N3dKS01zCQnImIuXbt25cQJ6/zNikBWVhaHDh0ymdp8+PDhJCQkkJLy926OIAjs27ePsLAwnQx0+/fvZ+7cufTp04cFCxYglzefHfGmgFQq5cEHH+TSpUs89NBD3H///Tz22GNVi5zW1HtoFGQc+Mlkt5hn1wFQptTgbcR4NKb72D5bt73/XaDie6duYrrPxcUNRZmo+0RqR0RkJAUFBWRmZtpalGaDqPsMEV1YjdCtWze2bNnCihUrGDp0KHFxcbz88su0yN5mtTkqdyFNxZ0AjPvkIJ9//jlRTz2Fp6cnGRkZ3Px2Cp9vukGwl2ONmV1LUy9SVlbG4sWLSUxMZP78+U3mS+rg4IBarUatVltcZqWu1EfpD2u4pOpjjouqqWsaqwurNeTq2LFjjS4nItXz0ksvERYWRrt27XB3dychIYHvvvsOhULBiy++WNVvxowZHDt2jCtXrlQde+yxx9i4cSOPP/44c+fOxc3NjT/++IOLFy/y+eefV/U7ceIEc+fOJSAggMcff5xLly7pyNC2bVur1CsUMY1cLufxxx/nwQcfZM6cOURGRjJlyhSmdQBrRhNmHF1NQL9ZJp/pMS9tR3n+HOfPnSNm2nS0Wi3XPx+JSqMxrvs0eh5DOVfxdpXy69LvSUlO4rV3PjBw2TRagiPPsp1LfZdWcyjfnqDTdhgepdNWS+TkFxTpyKvvXlof7qf6YxorwaHvkqrvSmrqvLE+pjDWv64urI0ZfR1tyoXVmK7s0KEDZ8+etbhUj0jz0H0PP/ywxddIJBKWLl1qdn/RgKyBadOmMX78eNavX8+sWbMY1789M9sKBjuBtSXhp8fpMOcXk/3s7e3p1KkTJ06cYNiwYaR+/wB2UgnBXo4GhZf1EQSBfz06jB3Xypk6dWqDG2J1QSKR4OLiQklJCR4eHrYWR6QJcv36dVq2bGlrMZoksbGx/PXXXyxfvpyysjI8PT3p0aMHzzzzDDF3Ji4xgpeXFytWrODjjz/mX//6FwqFgpiYGL7++mudRGWHDx9GoVCQnJzMjBmG5ZB27txZ65gVkdrh6urK0qVLSUhIYNGiRUz8xxLeGRdOj2grJXX53y5kdbGQd9K6TVt27thBdnY2suxLgGCR7lv26gS2Xi3jvglTmpTuc3B0ory8abrgitgeQRC4du0arVq1srUoTZLmoPvu3AGtL5rOE9VGuLi4MHXqVIYPH86MGTOYvb6EZ599lh4hUHbsxzqNrSq4jVKpNGuVIS4uju+//x6lUolDiRIvF/uqwsvVKVJBEFhxMIUtZzOZ+dw/mDdvnslaXI0NFxcX8vPzcXFxQSaTNTn5RWzL7t27xXIQteTJJ5/kySefNNnv559/Nno8NDSUL7/8ssZrn332WYMU6iKNg6ioKD799FPuueceZs6cyejRcUyfPh2Pi98jFFhWcFqfzJNrzdqFtLOzo0uXrmzdvAnPc9/QwscJB7nUIt03+pFXmPXUnCalOxwcnVGUFqNWKZHK7JBKxWgjEfOJj4/HwcGBiIgIW4vSJGkOuq8hPK9EA9JM/Pz82LRpE2vXrmXFihU8u2MH99xzD68/dh+c+qHW4yb/9SHRE/5psp+Pjw9jx47lr/cmc/V2MSM6+hPp51ytIr1TgY7s5M/YwOQmpUArCQoKYuXKlahUKgRBQC6XY2dnh1wu1/m58v+pqam0bNmSCRMm1Gne+nDr1B+zPlxaLc3WZi3qw+W3rty+fZsrV67Qt29fW4siItJkGT58OOfPn+e///0vL7/8Mjdv3uT1119nQmcP8o8ur9WYQnkpGQeXETLw0apj1T0zhg8ZxKaVX3MiuZB9l7N5eEAYcln1RqS+7psVnU6Id0VW9dQs3eR1xmrKKfUzqJpwaS0/kmRwzPHZ3jpt1a81J/LymNxWp21n74BKpeSvX5eg0aiRSKXIZDJkMjkyO7uKn+3+/lkqlVGcncLIcQ8QGBIGGLqjgqGbq34W2pbh1i8dYo0srMbcVfWzzob46YYDuTjWrIOMhX9Yqj+tMYYxLB1DX/+uXruO0aNH11kOkabLww8/zDPPPEPv3hXPonXr1tG9e3erevSIBqQFSKVSJk2axKRJkygtLeXTTz9lxPQXGThwIK+88gq9evUC0Cm/YQonv0iz52/dujV/CuDv7oDX/2ITJBKJUUV6pwKd1jcUJ/9oS2610TB27FjGjh0LVGTAUqlUqNVqVCqVzs+V/xcT74hUsn79ekaPHo2Dg4OtRRERadL4+Pjwxhtv8MYbbxAfH8+rr77Kxx8f5YknnmDevHn4+PigLMrmwleTzRxRwNEnzKyecrmccE0iu8pUtAlxw05asRBqru5z8IuqduzGir2DI6Pvr0i0JwgCWo0GjUaDRqNCo1ZX/Kyu/FmNVqslSVmMWt20kgWJ1A8b1q/jA7EU0l3NsWPHmDJlSlX79ddf5+OPPxYNyMaAs7Mzb7/9Ni+++CLLli1j8uTJdO7cmXHjxjF69LuEhIRYvb6gVqslvUDFkLZeOvUg9RVppTKtVKASiQSPXrNqPW9jQSqV4uDgUK1BoFQq2bp1K0OHDm1gyUQaI9u2bROL0YuIWJnWrVuzYcMGrly5wvz582nTpg0PPvggo0aNYvCLW3B0dLS6R4LCtQUOchl9Yrx1jpuj+3wGPlOnuW2NRCKp2Gm0swOM6770lJtoBS1+AUENK5xIoyM/P5/4S5fqXD9bpGnj5+dnkAnW2ogGZB1xdXVl9uzZzJw5kzVr1rB582Zee+013nzzTZ6cYz3/ZrVazc8//0y7Sa/hecvQZbZSkVYqUNCNC0lcPAGvN/ZYTZ7GSE5ODjKZjHbt2tlaFJFGwMGDB/niiy9sLYaISLMkNjaW//73v7z00kv88ccfvP/++8yZM4f169cTGdPaavOkpKSwP0nLsHnfwZF3DM6b0n03v7qXmJe2W02exkhGahJt2nfGwdHJ1qKI2JijRw7TrXucmL36Lqd3794sXryYCxcu4O7uDsCqVas4dOhQtddIJBKLckaIBqSVcHFxYcaMGcyYMYPk5GSGDBlCTk4O7777rlUKg27ZsgVnZ2fuv/9+JJJHSNjwAfkX/i4rUhn3cScrDqboKNK8vDy8vKwT42BO/F5Dx8E5OzujMKN4dH3EHpqDrebVpyHiO21Nbm4u5eXlYgZPEZF6JiYmhtdff53XX3+dFStWMGLECFatWkX//v3rPHZxcTG///47Y8aMoU2bNjBkD6c+GKTTxxzdV5msTj9OzliZikN6pT2UemU6JHoxko6jYg3GEI6n6bTl9+hmgraP9NRp65cTKUzKNxgzsH2AwbGq8RwcyS8qqbHsB0BarmXhHfpxhmCdmEZLscWc5lBfOQcsLeNxJ1fi42nXvr21RRJpYrz++utIJBIOHTpEdnY2EomE48ePc/z48WqvsdSAFFN71QNhYWEcPHiQY8eOERMTw/bttV/91Gq1bNu2jaSkJMaPH1+lEKPGvkHsI98itXcxSBrw8+yujOzkz5azmaw4mFK1dZ24uG6JZRo77u7uaDQaCgsLbS2KiI2Jj4+nZcuWTTJxlIhIU2XatGn8+OOPTJkyhfHjx5OTk1PrsfLz8/n555/p3LlzhfH4Pyr1HmC27rv51b11u7FGjoe3HzlZGbYWQ6QRcO3qVaKim2bOCxHr4eXlxUcffcT+/fu5fPkygiDwySefEB8fX+2/y5cvWzSHaEDWE/7+/mzbto1vvvmGGTNmMHnyZLZt22axH/Lvv/9OWloaDz74oEHsn0tQDJ1e+tMgaUClS48xRZqXl2e1e2xsSCQSgoKCSE6uW4p5kabP/v37m232VScXe5zdHCz+5+TSOFfxRZoXI0eOJDExkdjYWNq2bcubb75JYmKiRWPk5+fz3XffERsbaxDL5RIUQ+eX/zIwHk3pPqWy+Rae9/TxIy87E43aMCuoyN3FwQP76d2nj63FqBdE3Vd75s6dS2ysobdEXRBdWOsRiUTC8OHDuXbtGsuXL+fFF18kJiaG1atXm13XSaFQ4OXlhY+Pj8E5QRD4/PPP2XI+R0eBVs5tLENdc4+FjIuLY/369WRkZDBw4ECz3Ifrw/2yodxVbVW2oz6wZuKNjIwM0X1VRMRGODk58dFHHzFr1iy+/fZb4nr0YP6CL5g4eUq119z5965Wq1Gr1URFRRnVlYIgsNdpHFvOvWO27jMWC3nFSHmI8Fa+Om39Ih3KxHydtr47KoAyv+ZQCoPz+qVCcgxdTdP1+rh3Dqz6WRDkBIdFsGn1MuL6DyMwpIXReXNTCnTa7TvWnHTHmIuvsZIatkDfrdVU2Q5zqIvrqLXmrOu82VlZBIeIuk9El7lz51p9THEHsgFwc3PjmWee4dSpU1y8eJGTJ0+afe2IESM4deqUwfFK43HlypU8Pu9tPvvruoG7XnWrsc15F7J169bMnj2b9PR0vvvuOzZv3iy6tN6FhIaG6mQgExERaXjatGnD559/zvKVv/Lh++aXFfD19SU6OpoLFwzrJ+rovhffsUj3NdddSIlEQu/Bo+jedwhH927l4M6/uHD6mK3FErEBQcHBpKWKuk+k/hENyAbE3t6ePn36sGXLFpN9y8rK2LhxI8uXLycvL49bt26h1WrJvbgTrVaLWq0mMTGRqVOnMm/ePCQSCV2N7CzeqUjT8hSotQKJ3z1YD3fXeHBzc+Ohhx5i8ODBJCcnc+bMGVuLJNLAREZGcu3aNVuLISIiAsT17EnyrVskJiSY7JuQkMDKlSs5c+YM8fHxqFQqk7ovZMRzBuMY031Z2z6uj9trNASFRTBy4gz8AkM4eWQ/JcVFthZJpIEJj4jguqj7RBqA5uP/1kR45ZVXGDduHNevX2fBggXInV2N9rt2I4FLV64y6+GHKSwsZNWqVcwaHcftPd8hlTviGdOX+fPnY2dnp7P66hrdk+IbR3XGqlSkaq2AXCbFztVXf7p6wZRLorXrZOqPGxIRRU+NlsP79tK/f/+qz6mxZQy1BGu42Jhyr7XV52OteRUKBb///jv+/v5WGU9ERKRu+Li78p///IehA/vzySefMPGBhwx2DSufSwcOH8HB0ZF//OMfbN68mR07dtA72p3UGnRfQPeJpO79Ccp1vU30dZ+9T4TO+UBv3aysxjHh0mrEXdU93FOnrZ9ltWzVJZ220/1tddre/cMNxkzfrzuz/pjXzqRX/SzBlYjoWJJuXKVtp25Vx/VdVu/M2grGM7fqYyojqr6La20yqOqPYSwbrL57rb4La4lCVeN5czDmXmoKfZ1sSmdb0032+vVrnDxxgjlzDRdURESsjWhANjBt27bl9OnT/N///R+tWrVi4Tf/Zcx9Yw36hYaGUVpSQkBAAAEBAbi7u7Np+Ze08VGTuutbXKN6IpcbPhBjHvioIW6jyRAVFc2+nTu4desW4eGGSlmkeZGQkMDw4cPp2LEj3333na3FERER+R9z586lf//+PProoyxctIhVq9fgZ2SRJyQ0jLy8XJydnRkwYAA//vgj9vGX8NYUknF0Fe4texvVfV1f2mBShsZSSqkhaNOxCwd2bqZNx65iNuq7gB+WLOGdt//BO//6NwMD3bpLAABrCUlEQVQHD7a1OCJ3AaILqw1wdXXl66+/ZvPmzTw/dw6f/OdD1HrZ07IyM3Fx/Xt3cnCHYC5eucHWEzcpz7tFxoGfGljqpolEIqFnz54cOXLE1qKI1DNarZaZM2fyzDPPsHbtWlxczNldEBERaSg6derEiRMnGDZsOEMG9OewkaLWWVmZuLpU6D4/Pz96xfjx+5bD3EjJQpGdSOH1ww0tdpPELyAYewdHkm/esLUoIvXM5UsXefedt9mz/yCPPvGErcURuUsQDUgbEhcXx94Dh9i7Zw8jhg7m2tWr5OTkcPrUKdau+YMhw4YBFS/G2uvbaRvqhr1EC4JA1sm1BkaniHE6duzI5cuXLa5xI9K0+Pnnn1GpVMybN8/WooiIiFSDRCLhzbf/yQcff8z0hx7gnbf+QX5+Pum3b7Nl8yZuJSXRLS4OqNB9/kWn8XIEuUyKRlFCxtFVaLVaG99F40cikRAWEc2uzevQaDS2FkekHnnphRf4x9v/FOs/ihjwyy+/sGnTphr7bNq0id9++83isUUXVhvTumUUu3bu4NNPP2XYoAG8+OKLREdH8/C0qYSFhQFQeP0wyvw0wr0dOHu9DEEQ0JaXkn7gR0IH2Wa1yVi8WmN1D7qWmIS7lzeBYeEUl6vEsh0maKh7qevvQV/OVatXM2/ePLNKt4iIiNiW+8aOo2fPXkx78AH279vHwzOmExMTw7Ozn8HJyQmo0H3l2TcJ93XkdoGKMB8NiqyKXUjPGMvrvJr1zNGLi9SP4cvILNZpO3o4mhxSv0+5l2ON5/XLbYBu2Q4AZzfdutDpJ9J02hfO3ebC2QQ8fFpz+WJFORP9GEhzYh5N0RBlPYyVE9FHP+bR1HlrlP0wRm3iJutCTk4OZ06fYtfOHdjZia/0In+zfft23n33XZYsWVJjP3d3d1566SUCAgIYNGiQ2eOLO5CNAKlUyquvvkqnTp3o1q0bDz74YJXxqNVqyTi6Co1aiZu9gEYrUKrUAAJZx8VdSHOIj79Mh46djMbNiDQPBEHg6JEj9O1r+UuliIiIbfAPCOD7n5aSlHSTOXPmMHz48CrjUavVkn70NzSKEgI8ncgqrEgao1EUibuQZqDRqMm8nURYRGtbiyJSjxw7eoSePXuKxqOIARs3bqRTp04m34v69etH165dWbt2rUXjiwZkIyIkJITMzEydY4U3jqLIvolWWYZE0ODpZEfe/zKSCapSMg4stYWoTQatVsuV+Hhat2lja1FE6pHUlBTs7OwIDRULKIuINCVCQkPJzMgwOF544yiKjOsgaPB0kpFfokQQBECgLOMahXrZxkV0yc5Iwd3TB0cnMRa8OXPuzBm6d+9uazFEGiFnz55l4MCBZvXt378/Z8+etWh8ccmiESGTyQxiFexcvNGUl4C2YqcxyMuR1FwFod4Vq7T5V/YTNOARpNLGtxZgyl2ovspF3DluYmIi7i7OhAVWX9LBGuVEzClR0hCY4z7TEG6w5lCbMi/VoShX4OIsviiJiDQ1pFJpRViGVqujx6TOnmiVpQC4O9khCAIFZWo8neVolaVInT1tIm+Av27pLf1SGAClReU67cKkfJ22w/CoGuco325YL3P70p902vdt1K1pad89WKetTDpCxx6dCG9VfdmutNxSnXawt3ONchmjNmU69LGGG6ypMawhpyk3WWPou8paoxTXnSgUCjzcjJeDE7m7ycnJISAgwKy+/v7+5OTkWDR+47M67mICAgK4ffu2zjGZvSPOgTFI7OwBKV4ucnKKK1diQVlwm8LrYobR6khPTyc3N9fWYojUM26ubhQWFZruKCIi0qiQSCT4+fuTnp6uc1yRfhWJTI5E7oREIsHTRU5OUaWRIKEsLb7hhW1CpCbdoLSk2HRHkSaNq5sbhYWi7hMxxMnJieJi854BxcXFODqajue+E9GAbERER0eTkKC78ihzcEGrUSGoVYCWFj7OlJRr2HM5B7VGQNCo0KrrP4i9qZKYmEhUVM2rvSJNH18/P/Lz8lCpGmciJ2vi4miHm5Pc4n8ujo1j51lERJ+IyEgD3efgGYSg0SCoKmIfO7Xw4ODVXBIySwABdVl+wwvaRFCUlSAIAt6+5u0+iDRdAgMDDRZfmiui7rOM8PBwjh8/blbfEydOWFwr/e78VBsp0dHRLF++XOeYvZsvbR79ltv7f6LwxlGcgKktOrL9xHV2JpQwPC4aRfZNBEFodsWCy8rKSEtLIy0tjZKSkio3p8r/a7VafH196dmzp9EEOenp6dy+fZvnnnvOBtKLNCQymQxvHx8yMzMJCQmxtTgiIiIWEBUZxdWrV+nXr1/VMY/oHnR+bQfXV85DVVZE6zA3vCNK+PNQPAq5Pc43z6Dtp22U4Rt1QRAESsuLKCjNpaisAK2gQRAEMsigwu+o4r+Zt2/hH9TC6BgJV88S064zES3FBDrNHf+AgLvGgBSxjEGDBrF48WJOnz5Nly5dqu135swZduzYwZw5cywaXzQgGxE9evTg9OnTFBUV4ebmVnVckXOLkpQLqEpy0apVCGolA1rA4SvF/Lz5KLM9PPHKuYWTr2WrB9amLjGNSqWS27dvk5qaWmU0FhcXExQURHBwMB4eHkgkEqRSqc7/r1+/ztdff82IESNo06aNjhG9Z88e+vbtS7kWyu+Ip9OX0xqxmI21hEl9oR/HkZ5botPWjzcJ9nKyeA5LYiKVSiWFBQV4e3tbPI+IiIht6dO3H7t27eLRRx/VOV544yiK3BSkdg6UFWTgBoxq7cCfJ5MpKy0msPdRPFv1tqospmLSQnx14wRTs0ur6XkH4Z46TUVBxa6qIAgoyopJT02kIC+LgrxMCvKykKgluPv44uYegEwmRyKV0KvLU0gkEiRSKVqNhvhzB7mdfIWOPfrj4ubx99ilJWRmJtB98CyD+Ez9sh36MY/mlMvQpzbxi9aIR6wrxuIZTZX20L/X+GTDciv6n2mIn25svjXKh9ypf28mp+Hn51fnMUWaHw8//DC//vorTz75JK+88grjx4/H3v7vvz2lUsn69ev55JNP8PHxYcaMGRaNLxqQjQg3Nzc6duzIqVOndDInyRxc0CjL0CgqXtIFQUCiVVNeribEXYZGWYbMoekkEFGr1SQlJZGVlcXt27dJS0sjPz+fgIAAgoODadmyJQMHDsTHx8fk6nLXrl1JTExk8+bNHD9+nFGjRuH/v3ia1NRUJk2aRLmY7b3Zs+rXX+nWPa6qBICIiEjTof+ggSyY/6nBcbmrD1qlAq3yb4NLKmjRqNX4OUmwc2laC0ZlpcXkZaWTk5ZOQX4WBblZALh7+eLp5U9Eyw54ePkhUZjeVe3Wuj/XLp1m95+/ERHTnhaRHbCT23P98ilCI2NxFJOKNXu0Wi2//7KCJx97xNaiiDRC3N3dWbRoEU8//TT//Oc/ee+994iMjMTV1ZWSkhISEhJQqVR4eXmxaNEi3N3dLRpfNCAbGXFxcezevVvHgLR386X1rEVV7bKsm+z99XNKvPyYOrQtof1mYO9Wfaa1xsbOnTtJSEigRYsWtGjRgt69e+Pn51frAvCRkZE8/fTTnDhxgqVLl9K+fXtycnLo3bs3crlcZ/dRpHkhCAL/fOtNfl66lDXrN9paHBERkVoQHh5BcXExiYmJREZGVh13CYqh88t/VbXLsm6y+MNX6Tm0G51jvJHJHWwhbq3QajTs3/I7nj7+ONi5ERremnad++Ho5GoQfqJUKEyOJ7Ozo3XHOFpEt+bCiYPs/mslLdt05daNywwZM62+bkOkkZCWksJTj0zDxcWVqVOn2lockUZKx44d2bBhA0uWLGHbtm1cuXKl6lxwcDAjRozg8ccfx9fXchtCNCAbGW3ad2DPrl1V7nr6bnyCIJAfvwdvb29U6tvkl2lxjd+Lo294k4iBVKvVnD17lieeeAIvL686j3enW2PbTl2IaBXLnt27OHTkKOlZ2YRGRhu4NTZWd1NzSnDUxzymXLaMyVWbdOamqM3vZf3aNWz+6y+OnTojuvGIiDRR7O3tad2mLRfjr+IXXFHLtTrdF+jnS3J6Nr3bhZBfR91nLHzBGvpBv4wHQHpqIq7unvQYeC/Obg419vcO9UAf/T7pF/6undnCpwvO+1VcOPInBYpcTl75hd5vPIJUb1H2Qoquy2VNJT7AuEtralZJjX303VONubiacnstLKl/HW3MjVZfr+nLqe+ubOz3jJ4Lq7VdVqHib+G1F5+ld98BvPb2v3TcEkVE9PH19eW1117jtddeo6SkhOLiYlxdXXFxqZuXQvOKPm8GyGSyqhIdxlBkJ1Gefxu5kzue7i7klQqU56eiyE5qQClrT3x8PIGBgVYxHo3h7OzMqNH34u3jg0ajYdlPP9bLPCK2RxAE/vmPf/D5F1+JxqOISBPHHN1XlptKYFAQWXmFSOzdmpTuS7p+iRbRbettfC9nX1r6tcPHJYDU/Jtcv3y63uYSsS3HjxwmMeEGL7/xVrNLIiVSv7i4uBAQEFBn4xFEA7JJUbkCK7V3Zv2uY7g4ORAbFYLU3pn8+L01Kt/GgFKpZOfOnfTp06de59FqtaQkJ+Pi4srESZPrdS4R23HjxnVKy0rp27+/rUURERGpRyp13+38cv7ae4KR/bpgZydrMrovIy2JkqJ8AsPqt6SUVitwM+ca4d6taBHdpl7nErEdu3ds5d6x48WdRxGT3L59m6VLl7Jy5UpycnKqjr300kv07duXzp07M336dE6cOGHx2KILayOjtKQUh2qKeSpyblGaeQOZvQtyRRYBdqBIvYDMwQVVUQ6KRpCJtSY2b95MeHg4LVu2rLaPvvuQqQypxs4XKQRahIczcPBgWlhY16axY6nrqDnuM9ZwnQ30rv+EDfpyPjbzYZ586ukm4botIiJSMyWlJSZ1n4ejHeX56fgJGRQlZdtE9+m7Pro5GT6Ti+5wUVWUlXL26G669h6GnZ38f9foPpdz9VxL9V1cjR1zbq9b47E03BN1uh8R+7OImzQDVw/DhGKFSfl6suvKUZssrKZcVo25ippyDbUG+vemj74rLhhmTDU1Zkhbf8sF08Mc/Xun3r947gwrl/3Eqg2b6zy3SPPmxo0bPPDAA1Vl8L7++muWL1/OE088QUpKCm5ubkgkEk6cOMEjjzzCL7/8Qvv27c0eXzQgGxnXrl8juhoDS+bggrq0EHVpIQXFiooU4LkpaJWlOHiHNepMrBcuXODWrVs89dRT9T6XRCJhzH33sWXTXzw9e45oYDRD0lJSuHb1Ki+9+n+2FqXZcurUKb7++muuXr1Kfn4+Li4uxMTE8Nhjj+kk+TLGkCFDSE1NNXouMjKSLVu2VLVjY2ON9nvnnXd46KGHan8DIk0GQRC4fvVqtYuLlbovLSMfuZ0MlVqNNj8FrUaFo3doo9V9giBwYv82wqJa4xsYWu/z+QaE4ukTwPVLp+jcu2+9zyfS8OzduZ0x4ycS26b+3KHvdpqL7luyZAkqlYo33ngDPz8/FixYwHPPPYdCoWDVqlV07NgRgIMHD/Lss8/y7bff8uWXX5o9vmhANjJSkm/RvXt3o+fs3XyJnfEFAI/GxbPi6w9IT7xM71g/HL3DkLv6NKSoFrFp0yamT5/eYC4Xrdu0ZeP69SgUCrG0QzNDrVbzxsvP88RTT4vxH/VIYWEhkZGRTJw4EV9fXwoLC/ntt9948sknmT9/Pvfee2+11y5cuBClUneX4erVq7z11lsMGzbMoP/o0aOZOXOmzrGwsDDr3IhIo6e0tJSysjL8/I3v6FTqvmi1GvW2baxe9z19PdIJDvDGJbhto9V96Sk3KS8rpXOPEQ0yn0QiISwylrTkGw0yn0jDcuPaVZYtWcwff22ztSjNmuai+44fP86UKVOq6js6OTnx1FNP8corr1QZjwB9+/ZlypQp/PnnnxaNLxqQjQyNRmPWS3GrVq3wU1yjWKEGrZrCpJOUZibiElC/MRa1pby8HP9qXg7qA6lUSstWrdi2dQvjxk9osHlF6pe8vFz+8cqLqNVq3nz7n7YWp1kzaNAgBg0apHNs8ODBDB06lN9++61GJdq2reHqeKVymjRpksE5X19fOnfuXCd5RZouGo3GrDJOdnZ2DBs2jL++fB51O28EZRmFSacpy7qJs3+kyesbGrVKiZunt0E21PrENyCUc8f3kpl2C//gFg02r0j9cu7MSZ577GH+75/vEdNajG+tT5qL7svMzNTZ5az82ZinR6tWrcjPz7dofNGAbGS0a9OGhGtXTcb+ZZ9aj7K0GLlMgkqjRa4oJuPQCiLH/6NJu2yaum99akq53qFTJ3Zs24YgCI3iM7E01tCceEdT6dBrgzlxk5amJjfn3k2VE0m5dYtx9wxi8PB7+PTLRXi7NU63teaMnZ0dbm5uyOWW/f6VSiUbN26kW7duOnX+RO5O9J/zLr7euLq5kXzrlsm49dv7fkSjrnw2CqhLssk+tYGwe56rl+e8/nPJnOdyZaycs4MdTvYyg/jFojLdMYyV7bCUyjmc3RwIjYyirCALt+honT6l4Z41jmFO+QxL4yTjb+UbHNOPJdRv638++m0wLKFh6jMuKqt5TnOoTYyoqe+LObp05dIlLF7wKS+/+S/GTX7ApK4UsT5NUfcplUoc74grd3Co+Bsx5glob2+PVqu1aHzR/6uRERcXx/Hjx2vso9FouH1wOV0i3CguV3P4Wp7OLmRjQxAEmxhx0dEt0Wg0VZmnRJo2K5f9wMh7x/Lpl4txcnY2fYGIUdLT00lJSdH5V1hYWG1/rVaLWq0mIyODL7/8kps3bxq43Jhix44d5OfnG12BBVi/fj0dO3akQ4cOTJkyhU2bNlk0vkjTRiKR0LVbN06drDkToFqtJvf0Wga39WX3pWxu5yvQKkqqdiEbHTbKDhveqi1pyY3vXUDEcpRKJUu+/oJFP65k3OQHbC1Ok0bUfdZFXMZoZMTFxTF79uwaDa7sU+vRlubj5WLP8Pb+rD6WRnJOGWFSu0a5C5mZmYm7u3uDx6tJJJJGs/soUjeSbt5k2Q9L2LT7gK1FsTkujna1Wj0vd6x43E+bNs3g3Ny5c3n22WeNXvfCCy+wdetWAFxdXVmwYAEDBgywaO4//vijokbrqFEG5+677z4GDhxIUFAQmZmZ/PLLL8ybN4+srCyLlbVI06Vbt+6cOnWS8RONv2gBpO//EUGloFWgK3ZSCXsuZTO5RzDSet6FrC25OZm4edRPzWNTNKbPQaT2LFm8kOhWsbTv1MXWotgcUfdZzt69e8nOzgagrKwMiUTCli1biI+P1+l34cIFi8cWDchGRmhoKGVlZeTl5eHt7W1wvnL3ESq2mh3kUvrFenPkeh5hPk4UJh6nNOsmLo0oHiQ+Pp7WrVtbRaHV5LKqz+20NORyOT4+DZ9goTalMazhsqrvgmTMJUk/VbmpMS11VwVIz9VNkW6szIcpN5w7P8OFXy/m4Vmz6NC6+hIwIuaxYsUKAgMDdY65u7tX2/+VV17h8ccfJzs7mz///JMXXniB//znP4wZM8as+dLT0zl06BATJ07E2cjO8aeffqrTHjlyJDNmzGDBggU88MADOi44Is2XNu3asXzZ0mrPq9Vqsk78UdWO9HfhWkYJl9OK6NhCSkHCcXyzk3D2i7CqXKae5cbcGovKVAiCQOrNG/QbPqZWL73GxrwTfRfOAH/Xqp/jM5MJDjN8B7izjzkYuzf9shz65TD05TTn3o25qFqKfikUfdxa+ZqcU/9eauOyGp+sK0frMF33ZHNKXlW+C2g0Gr5b9BW/rd+Eq5NY87Gu3I26788//zRIjvPbb78Z7WvpO7poQDYxcs78ibZM9wHl5SJHpa4wKLWKIsrSrzQqA/Ly5cuMHDmywee9desWwcHBDT6viPX5c90f/L5mja3FaBYEBgYSGmp+SYGwsLCqrHBDhgzh6aef5t1332X06NFmeRWsWbMGrVZbrQuPPlKplLFjx3LixAmuXr2qky1O5O4l4+AyBJVC55iXixylusJNVFWUgbo03waSGSc/NwsAT2+/Bp8783YyXXsPbvB5RazLiaOH8A8IFJPmWIm7TfctW7asTtebQjQgGxlXr17F3d0dLy/jbi8OnkEgaHSP2clQqDSoNQJ2dlKcfBuP8Zifn09hYSEtWjR8NjhleTne3o0zvbuIZQiCUG2RcZGGpUOHDuzevZvc3Fx8fX1r7CsIAmvXriUqKoquXbuaPUdlML9YpuXu4eTx43Ts2Kna847ehqntHe1k5JZUeFDIXX1w9K7/WovmknLzBiER0TZxJVWrVLh5eDb4vCLWRRAE7EW912hoarqvR48edR6jJkTt3Mi4fPkyXbp0qVbpeET3oM2TS/GI7Y9ri64gk+Pg5EKQlzPX80Du7g925rk6nD17lhMnTliceckS4uPjiY2NtcmLoEQiQa223JVUpPERERVNctItW4tx1yMIAseOHcPd3R1PT0+T/Y8dO8atW7fMXoGFCgW6ceNGXFxcaNWqVR2kFWlKXLkST4dO1RuQzkExeMT2x7vDSBx8I0AmJyrEhxtZClQyJ1yC22DnYhj2oU95eTm7d+8mJSXFitIbkpJ0g9DwaNMd6wOJBK1GY7qfSKMmPCKK1GRR7zUGRN1niLgD2ciIj48nOrpmpSNzcEFZnE95dgJIpEgkEOzpQHZOPipfGXmXd+PsF1HjyqdCoWDjxo0EBgZy5coVxo0bh6urZfERxcXFqNVqSktLqzKt3plxNTQ0lPj4eHr37m3+mBbEOJoiLz+P4OAQq41XE/UV86iPOWnW7yQtt9RkH1NxHvrxjGAYB2MqjtKce60pJtLXz5+0tDSTY4hYj5deeomQkBDatWuHl5cXWVlZrF27liNHjvDWW29hZ1fx+5oxYwbHjh3jypUrBmP88ccf2NnZMX78eKNzfP/99yQmJtKrVy/8/PzIzs7ml19+4eTJk7z99ttVacdFmhfGnvPXr16lfevYaks5yRxcUJcWoizOR1WUBRIpro5SXO2l5OcVYH/jKHlXD+LTun+Nc589e5bLly9z4sQJ+vXrR69evWrUlfrPrsKScgry85BIJCjLy3X0Hgg4ObuASo1WWUZkRDhSqdRkjJ85cYP6x/RjICvH0Gq15OXlV8hhYgxTGNM3pnRQiK9urFdqtmkdZAr9ewVQFOi6Mzt66O7UFZ5J12kn6V1vrHSK/uejL7s596Y/hv7n5eas264px4CvfwBZGem4OUh1FuEtLXcmYhmi7jMP0YBsZBw8eJBZs2bV2MfezZeg3g+SsmMhMhdf1EWZRIRKWH/4KjGBzkhP/IFXm0G4+EcZvb60tJR9+/bRqlUrJk+ezJ49e/j222/p0qUL5eXlSCQSpNKKB5anpycREREGiWjOnj3L5s2bEQQBT09PZDIZEomk6l9WVhZ9+/bl9u3bREUZl6O+ycrMxN3NnQP799O+Qwejq0ZarZYD+/ah1WoZOHiwmLmukXE1/jJrf/+VPTu38/LLL9lanLuKLl26sHHjRn777TeKiopwc3Ojffv2LF68mCFDhpi8vri4mG3btjFgwIBq3X0iIyPZuXMnO3bsoKioCCcnJ9q1a2f2HCLNg6ysLG7fvk2HDh2q7WPv5kvsjC/Iv3pQR/fFhgeyLz6DST3sub37G7xi+hr1eBEEgYyMDE6cOMGwYcPw8/Pjjz/+ICEhgcDAQFQqFVKpFIVKg1wuxz8wgIiISIMxNq37nezMDCQSCS6ubn/rPakEBIGc7Cyi23QmLCLaJp43BXnZ2Ds4cvN6PBKJlMiYtshkMoN+hQV5nD1xhKiYNoSERTS4nCLVo1QqObh3Fyt+/I6OXbqJrvwNjKj7zEM0IBsZZ86coUuXmtM1a7VaMo+tQiJ3Ao0SrVqJt5sjMYHOJOeW4e9RSvrB5USNf0vHICopKWH16tVVRt2IESOQyWQMHTqU8PBwkpOTqzJSabVatFott27dYs+ePTg7O/Pggw/i5eWFUqlk+/btzJw5k6CgIKMyZmRk8PnnnxMUFGRx4VVrMWDQIM6cOoWLqyvffbMYRycn5HI57u7uhEdEYmdnx43r11AqVSgUZSjKFURFR+Ps5ExAYKDN5L7bKS8v54cl3/HD9z+Qn5/L2AmT+XPnPjq3i7W1aHcV06dPZ/r06Sb7/fzzz0aPu7q6cubMmRqvHTJkSJNRliL1x8Xz5+ncubPJF2Vjuq9zlDdnr6dSrFDjmn/b6C7kpUuX2LFjB1qtlk6dOtGqVSskEgmzZs3i+PHjKJVKnJ2dK8I5ylWolEpOnTjBhnXrCI6MZdCwe5BIJFy/Go+irIwZT8ypVtYThw/w14a1jJ0yw2qfjyV4ePkS0aotmbdTKC9XcOrIHpxdKryLQkJC8QsIoqykmBvXLhMQFMr+HZvo2rMfjk7OeHh64e7pLS6k2ohbSTdZtOAz/ly/lqiWMYyZOJkpDz1sa7HuOkTdZx6iAdmI0Gq1pKenm8wSVXjjKIrcFKR2DpTlJIOgBUGLm6MdGQVKQKAo4SilWYlVu5CCIHDo0CEcHR158cUXsbfXdUFs2bIlLVsaL5EgCAJ79+5l27ZtPPDAAxw6dIjIyMhqjUeAgIAAZs+ezYoVK9i9ezd9+/Y1mNOa7qrGiImJJSamwugYOWo0hYWFqJRK8gvyuZWUhFarpU3bdgRFVPiaH9y7m0NHTlBUWICdRMusRx/DycnJavLUxmVVH313U30XmqRr2TptZb6umw9Arqeuq4++649+qnd9tx0w7bJ66LBu3IYyMd+gz32Pdzc4VlxUxMwHJuLo7MTnCxbQp1+/qhc10W1HRKRpYupZn55+uyrbYU0Y130aXB1kFJSqcHW0M9iFLCsrY+fOnQwePJj27dvrGEd2dnYGIRap+WUAdKZiMevb/36L78XLhLaIYM+uXfQbNKxGQ7dbr77kFZZw5vhh7B0cCYswHQdZmzIfzm7GXdykUikd4vpXuX2qVEpKiwuQIEGiLeJ2egb2Dg507DGIoo2Z+JQEsf/kFjRaDe7d3Ylu3Y64PoMA4+ENplxYLQ2zAEMX3mBvXZ1TZOReC5Pyddrl2xN02to8Xd1Xfj1Xp53e0jBetrSzbokHfV1ojjvutV/O6bQ1Cbpy8t5QnWblZ3zmxBFefmYWk6fOYsueQ4TaIPGgiIgliAZkIyI/Px9XV1cDQ0sfuasPWqUCTXlpRUZWAUAg3NeZozfy0WoFKC8l4+ByIse/hUKh4MdF85G6+DBlyhST4+sjkUjo27cv8+fPJyUlhaNHj/LUU0+ZvK5FixY888wzbNu2jZUrVzJ9+vQq3/GGRiaTVWW29Q8IqDIs4e/4xWEjR1cd+3P1ShITbtC2XfuGFfQupqS4mBlTxtMyNpaPPl+Il4tY90pE5G4gKysLPz/T5S4MdV9FCY8IP2cSs0oJ8XZCmX+b/KsH8W7dn6tXr7Lq5yV07jnAwHg0BwcHB7rE9eLSudPk5+bg6eVNSIuIGq+RSCT06DuY4NBwju7fRVlpCUGRtivDIJfb4+FV8dkG+EfonLsqycLb1R9vV38AYqd0YMOqpXTt0Q+ZjXT13ciZE0d45ZlHeG/+Ynr1H2xWrUgREVsjOlY3Ii5cuGBW5iWXoBg6v/wX7Z7+GeeQ9sic3AAJLg52aLUCGi2AQHHKecqybnJ092bKU8/w8MR7DGIZzUUul9O6dWuWLl1Kp06dzMpCBeDp6cnkyZNxdnZmx44dtZrbFnTv0YPNmzZRWlr3BAAiFRQW5XD1evVZf9ev+R1nFxc++nyhGPMhInIXcenixVrpPqlDxYu2u7OcUqUASEDQkn1yLWq1mq0bVhMXoGBoT8uNx0rCI1uSmZ7G8cP76d67n1njSCQSwiKiGTF2MqeOHiA3O6NWczc0Lq5uBIW04OCebbYWpVmRnJdAemH1WX+//OhdXnrrPXr1F2t3ijQdxCWmRsSePXsYOHCg2f3t3XxpMXIe15Y/DzI7NGoNGkFCZrEGe7mUwqxUTn3zASeupDFzRHsKruzDyUR21uooLlfRpkMnjh4/QUCoaVejO5FKpdx77718/fXXdOvWzayVZlvjFxKJQqmhsEyNSqKuMUOoMcxxV9V3A9XPbFpTdraqa5x059HPLKfrtFOBvqtP/p8XdNqF/xqhe0GcoUt16xaeOu34W/k6bUcPR7QaDdL/JW9QAt8t/T9uZyQy5/EFRIZ3MLj/cqWahBvXKVNqAI3Fn7mIiEjjwJLwBEEQOLBvH6//36tmX2Pv5kvYPS9wdekzILVDqZGiUAtkFWtQa7XkHz3E9vRPKEq9THT/luTH78XRN9ws3af/3LmqkuAfEsn1+IvInYzXZ64Odw8vuvbsx6nDexk6Zkq185uThVUf/T76YxhzcdW/RqLnxlmsUOMbHMmtxGsUlamMurDqH9N3WdWXw1QGWjB0WTWc1zCMojTcU1cOvfPS47pZu8+s+EO3v7rIYMwBM2fpzvqIbj4KfTkvnLttMIbWqyIkpHIRNGXPURaeeQ93e09e7/GRQX+A8nIF2Zl/LzKIuk+kKSB+SxsJqamp/Pjjj6xcudKi60rTr6IpLwFBi51EoF+MJ0evZaHVCrg72eHLTTzkcCNbg593KorsJJz8ImolY3BICDNmziLERIymMVxcXBg0aBDr1q3j0UcfNZoVrjEi/M9FSqR6BEHgdkoSiVcvUlxUQEZaMn/9voyykiJaRLflsZc+4sLJPZSUVqj4DVu+wccriJ/XlVCQn1c1zu3UZF587W1b3YaIiEgDo9FoWLfmD+T2ctq0sczNs/D6YQR1OSAhys+e9DwJey+mI5NK8HKR4+1/i+TcLPK1nbHLr5vu69l/KK3bV1+fuSZatm7P+bNnuHrxDLHta06Q1xiQSKUIQv3Vhm5OqJTlpCVfJz31BlpB4PzJvVw4tReAe0c8QVRERy7lnAGgTF3Cyvhv+fP5NWTcTkFZXhGjKpFAanISw+8db6O7EBGpHaIB2Qi4du0aHTt25Pnnn7eoZiKAk18kEjt7BFWFIm0X6km7UM//nRWwc3GjZdtojl7JpE/7UItWYo0RVofA7ri4OG7cuMG6deuqrY3TWJDJZPj6+5OWmkLLGDH7Z018t/Bzvl34Ba3adiL+winkcntUygrleOvGJT56ZRqxUd3p2f1eesfdR3JKPIryEgZN6oWXt2/Vd9HZwY5o8bM2iZuz3GTtTmOUO4tJiEQaF++/+y9WLl/Okp+WWqyTnANbURmF4yiXM6Sd/x1nBbzahaIoLyc9Ow//SN866T653B5f/0DTHY0glUrpPXgU2zf8iourG6ERxpPVNRa8fP05dXgPanX9Jrlr6giCwIev3Y+9oxOubl5cvXiMVm3jqs7/te07ggKiiJCGM7nVLKI9Y0ksuEabe3sRGBKGo1PFbqaLoww3dw/8Amr3/bqbEHVf40I0IBsBly9fZsCAAfznP/+x+FqXoBi6vLLZ6LmyrJtkHPmFs5czadkiCJmjO+V1XImtCxKJhMmTJ7N69Wp+/PFH+g0aQqgZmfdsRWybtly/dkU0IGtAEARuJt5AK2gZNWkGp45UrL7+a9FGNBo1QWFRyGR2OkWd27XpA0C3nh11xtJ34RUREWnexMdf5t8ffEC//v1Nd9bDI7oHXd/YZfRcWdZN0g6u4FZmIYN6d0Pm6GRT3efm4cnAkRPYv209memptOvcAwdH62X4tibuHl44u7iRm5VBeKCH6QvuUjRqNdmZKUyY9iKJ1yoyrzq7uPP6vJ+RyeR4uFcsjqq2Xq+6pot/T3qOGKMzTm0MIhGRxoBoQDYC1Go1xcXFCIJQ5/pLWq2W/Mu78Wg9iPz4PUjkTlxLSuP+e/oikUiQ2jvXaiXWnBIK+nEvxq6Ry+U8+OCDnD59mt9X/Ubffv3pHhfXoElT0vLKTPZxcZTj4enFpQvngb8ztVZiKkbBWJmL+sisZipWxFgszVW9GMjcshzdEfTSnxsr43HwXDK/LP4PB7evR2ZnR4++gxg8fCRDz6UZ9AVwb+tvcEz/89D/TMWyHSIizZsK3VdilbH0dV9qXhneHm64u1Y8v8zVffrP+hA/3eeU/rPd3LIVPn4B3DNhGueOH2TDqp/pOeRevHwMn4sAGZnFBsf0S0qYwtiz/9T6yzVeUxmvKHN04XZ6JtFRkQZ99D8PUzGQ+nGD1kI/xtO5fYBOW79cVeyfugvBx3NOGIypX/pD/zM8tS+R22kJrF75H1JTruHp40+L2GgmPTG7WjmDx+m6ZseEeVbbV0SkKSEakI2A++67jy+++ILhw4fXOVNp4fXDpO75DnVZIaWZN7idr0Rakom84AZFBeDgGURp8XUUObdw8g230h1YhkQioWvXrnj5BbBl82ZOnTzBvWPuq5N7bH0gkUiQy0Uj5k60Wi2b169myaIvCQlvycfLtuHp41dvLwkiIiLNl/97/U0m3HcvDg72PPnYo3UaS1/3xV+/RaijgqKkM0Dj0H1Ozi70HDgCp7OnObR9A36BIXTuPQR7B+M1HW2FBIlYxkOPnKwMtv61hEP71zJ67NN0jRtBWJfG9c4iItKQiE+IRoBcLuff//43jzzySJ3G0Wq1ZB5bhSAI5F7YiUQm5fLlJKJD/s60Vp5fkTVM5mD7OkN+/v5Mf/hhrl27yurfV/HQ1GkEBgXZWqwqfHx8yc7KIic7Cx/fxp85tj4QBIGbN66RlZGOl48vf675lV1b/mT0Q08zcHT1WQVFRERETNGte3dGjhpNakr1JQ7MQV/3aSVw7UYCDwz+u45vY9J9kTHtCYuM4fyJgxzasZ4BIydVZaxuDHj7BXLz2kV69+hma1FshkqjJP78SZTl5QSFRfDqo+Px9g5lzguL8A+0zQKEiEhjQjQgG5jq3Dznz5/PG2+8UetxBUEg6/gflBdkYO/uj7o4m5ChcyjMPMqEmTPx9fWtk9zmYMrl0Fhqd4lEQkxMLKp7lKxcsZzWbdrQtm07WoSHW82tVd8lKdhLN/bEmEtriUKFzMGZwJAW3ExKrjIgc3OyOXnsKBcvXyWmbXs6deuJTCYzcMc05q6qX9pDv0yH/nlzSoHUJm7QY3Jbnba+245750C0Gg2nDu9g8+/fUr64iODQcDJup5KRloxWq8VBoibE5+971Hdr0sdYSRIxVbmIyN1NTk4Of/25kYtXr5vuXA3GdJ+y1Xhih3Wm++OPW1Fa89EPLTBapsNJTv/Bwzm48y/+/OUHIlq1JygsChc3z3qTq6ueO+WpfYk67dyUAgA83cI5em0HhaVKJBIJgiCQnHiNa5fOknW7gFZtu+PrX5GNPbyV7rtF6zDduMnUbMNayvphEfpusPrXGHPH1fd60f+MSz10XVidXxig03b/1xWDMWVxwZSUFLD/8BoOHd9AwLUW2Ds6cePyWQByszOI7N4SN8+KRXn9ezWGKR1tjh4UwzlEGiPiG1wj4dKlS3z44Ye1vr4sK5H0wyuQOrgikUjBzoF9qxfj6NmnQYzHutKufQfCIyI5c/o0u3buJD8/j+DgYDy9vHBxdqFdhw54e3ubHsjK+AUEcvLYEfKzM8jLyyUzI4Mu3eMYNGI0J48e4lbiDYaNHgf1EN9oCzRaNYd2rGXz6u9xcXVn3LRnmTB5fNVO4/x3/48/V/+M9126IysiImI9rl29SkxsLJ6enrUeQ1/3qSVydq35id7T/2E9QesJiURCv2Fj8L5wlZSbVzi4fS12cns8ffyxk9vj5eNPUFg0dvKGTTAmlcpwdfNk//aNODg6kZ2Rip2dPW06dcfFJY+zx3cR0iKG2PY9G1Su+qRUKGX9pkWcOLONTu0H8vxTX9NuXEVW/JysdN58bAzFKiUOTs1D14uI1BXRgGwk2Nvbo1LVLm22IAikH1qOVqlAoZVyIa2cSzcz0ZQXM/mJsVaWtP5wdXWlX//+9Ovfn6KiItLSUiksKCQ/P49lP/1IdMuWDBk6DBeXhnuAd+4Wh5e3D8qyIiKjWxIS1gIHBwfSc0sYOXYSSxZ+Rm52FoQ3Htfb2qAVtJxOPsj2K2sITGnFtNlvEduhBxKJRMdN9cW3P+LFt40XQxYRERGxBLlcXmu9B3/rPk15GVklGq5dLeB6Wg6BLhDlVm5FSesXH/9gfPyD0XbXUlyQS35uFmq1irRbN7h05jCtO/bC3y+uQUMGevQfg9yhGLVaRcvWHfD2C6jYjdRko9GoOXdiD63aNH0X1zJBwUXtRRKFJHpJxvLy3O/wcNddIPXxC+SbDYZJd0RE7mZEA7IRoNVqSUpKIjQ01KLrNBoNmUd+wSWyB1dPHeD8rTxSsm/RMiKUIV2j8XPRYp9xBK12SoNmObUGbm5uxMa2rmoPGDiIfXv38N1/v2H4iBG0a9+hQeSQSqVERrc06oIpk8lwcnLG09unQWSpL5Tqcn4+8SXlqjIe7PoMXV570NYiiYiI3AXcSrpZq1JOlbrPPrQLx/bv4sKtPMrVWjrGRDJ1aCccJQqKzm0koP2gJqX7pFIp7l6+uHtVeA1FxXYkPzeL88f3UJidSK9BI3F1b5jSGg6OzoS3Mp4kxt7BCW/fIGR2Tdu1MkfIYY9mP+GSFtwnG03vUc/YWiQRkSaDaEDWI8Zi/oyRnp6Os7OzxS6aOac3kLJ/GUd+WUpycgrtw73pG+WKo72ARJ0Oak8UubcovHEUz1a9rSq7MZ98c++3Njg4ODB8xD20b9+BDevXkZaWxqDBQ4xmSdWPebT0vDGqi0d0cHRErVKZjG+0ZMy6oB9vYSz+4s404gUF+TyUsYTwHjG8+u58ZHZ2BvE75sRZmnO/IiIiIndy/fp1YmItr7Obc3oD8dt/YGt8GR7SEnq09CHETYpEWoakIAnBxRNFmWndZ0xn6T+XjZVk0jlfZjiGsWO1xdPbj34jJpOWfImNf6yge7/hBIZGGI0LNCWD/jWBeqUvSot0d22NlRMBkMsd0Ggs16OVmIpxNHVvxtCPqzQoP6VXSirXdQwb//Ucz7yygG59hwGmYxprk3NAXzeKsf8izYWmszTXjMnIyCAwMNCiazQaDSkHV7LpVBqFORlM7OZP+2BnHOUyELSAgLq0AK1Sgdy1ae+Q3UlQcDDTH55JUWEh/128iFMnT6JW116R1QWVUklxUSHuHp42mb8uCILAn+vWMKR3N2LbdeL/3lsgpm0XERFpULIyM/H3DzDd8Q40Gg3ntvzAumMpdPCDe9r7EOphV+He2Ux1n0QioVW7rvQYcA9njuzhwLZ1ZGUYr7nbEBQV5uJaj8l+6pOS4mI++dfrfP3uC8z+x+dVxqOIiIhliG+MjQClUom9vWUrWzmnN3DuajISqZTh7XzwahmHS3BFhjV1WQFyZy8C+z3cLMssuLi4MHHyFFKSkzl4YD8HD+ynR89etG3XDjc3twaTIzU5iYDAYOyaWK3ItNQU3njpeW4l3eSbH5bjEdLG9EUiIiIiVqa8vLxWum/nyQR6xvjROsARt8hud43u8w9uwfDx00m6fpnDuzbj6u5B6w7d8A+2LPylrmSl3yIwOLJB57QG+3dt4z9vv0rPfgP5z0+bcfPwsrVIIiJNFtGAbATExMRw5coVFAoFjo6OJvtrNBoyjvxKcbkGdwcpMpmUoqTTqMvLkEqltSqYXF15kcZMaFgYDzw0ldtpaRw7eoSDB/YTEBBAu7j+uLt74OhUUa5D3wXJWIkNffTdTtJzS3Tabs72ZKcn07pNa6NuLdZwTzXmOqWf7lzfTal1C88ax9y+aSNvvzqPydMf4d8LliC3tzfpllMb99TauOk0he+ciIhI3an8W+/UoT3nzp0z+2//b92nxtNJChJJnXWfPpY+79yc6v6sz9BrB/i7GvSpfNbL7OyIat2B9h07kXQjnotnjnJo1yb8w9oQGhGDk7MbUpkMRYHCYAz90hf6tAzXNagunLtt0MczyJUyZQ6tuo7B0cnZQAfFJxfotI25o5py8TUoyVFkOiFSVz0X1TtRKMr46J1/cOLQHl799wK69OhrEKoBlruomvNdEXWhSHNFNCAbAV5eXnTo0IF9+/YxYsQIk/1zTm9AXVZI55aB/L43ntZBrvi7y1GX5GDv5teoCiY3BEHBwYybMBGtVsuhAwdY9/svCFotQSFh9OzbH2f3+nFjup2WQtv2HetlbGuj0WgYO6QP16/G8+PqzXTo0t3WIomIiNzljBw5ko8++ghBEMzaMazUfb1aB7Pv0m0m9whGKhHuSt0nk8mIimlHVEw7SkuK2bJ+LTevXUAQBFpEtSEstB1yewerz1uQn4OTsyuOTjUbo42FC2dPMWviPQwYPob/rtqGq5u7rUUSEWkWiAZkI2HkyJFs27bNpAFZuQIrkdkhEexQSx1IL5MS6OcKgpaWU+cjk8kaSOrGhVQqpd+AAUR1iEOlUnHl0gX+XPs7neL6EtvWullbBUGgpLgYBzN2jG1J5YtZebmC61fj+cd7H4vGYxPHxVFeq2QOpWKiI5FGRqtWrXB0dOTixYu0b9++xr536j6pTEZBuQSlvQfOMvVdr/ucXVzpO2wCACXFBVy7eJIDu/6g14D7cHK2blhHWUkx9o5OVh2zPqjUfdmZFfu7b3zwJfYOjVtfi9SMqPsaF6IBaWMqXUfLypVozVmBPfMn6pJckNpx+vItWvtK6eAvQdAoURcryDnzJ/7dxlksR1NxmTA3g6pcLqd9py4Eh7bg1+XLcHRyJjwyGjDPvVS/j/5D69jR4zg6uyG1dzHqalqbh1xtxrielKfTrsw8d/bkMXx8/Rg/pEfVuXvum8jI8Q8YjGuNDKqim46IiIi5VOo9QRBQqzWUawWT11TqPi0yjpxPZHxnfxxV+Qg4oi7OqbXuswVpubpZSPVdR42h79ZZnRuoi6sHnXsOwc3jDKdPbqP/iMlVO5H6+sLZTXeHUv98eCtfnbYgCPy2ZB0hLWLITalwVXX00DXK9Mc0hqmsq/rtIiNusNe2Xddpp/q7kpeTiaKsjCN7tvDTVx9UnXvr48VEhlruidRQ4RsiIk0RMQtrI+Dq1Sss+e5bJk+532RfB88gBI0GQVXO7TwFUQHOFcV91eUIGjUOnk27oL218fbxYdjosezftc1qYwqCwNFDe+k/9J6KbLhJiWg0GquNX1eU5eU8dv+9jB/SA4lEQkybdnTsGse/5y9uMm5HIiIizZ8vPp+Pn78fMTGmS3lU6r7cgiIc5FL83B0AAUGlQNBoRN2nR3Trznj7BnEj/ozVxkxNuoFWqyUssg2lJUUU5GVZbWxrsG/bBp6eNICfvvqAURMq6hm//9VSBo9sGgsLIiJNCXGppBHw0vPP8+prr9OxU2eTfT2ie9D1jV0AXPj2KyRlVwno3AVVYToBvabi5BdRv8I2MbRaLTdvXMPZ2XoxMVqtloy0VHZs2kBBfh4urm6UK8oYcs8YIqJbWW2e2mLv4MAHX3zLrz99x7nTx/nxjy04iK47IiIijYjkW7eY/+knHDp63Kz4x0rdl33zEjv++SJePSYiKcsW9V41lBQXkJ+bSbh3W6uNqVAoSEmKZ9+2XykrLUZmJ8f7egBd+wzHydkw8U9Dc8/4qeRk3mb9yiVotVp2nbNdqRMRkeaOaEDamKysLE6fOsmqNWstuk4QBMIcCjh7PZ92rfKQ2juTH78XR9/wZpm+vLZcuXSB1JRb3Dt+itXGVKtU+PoF0Lv/YAKDQ7F3cCDl1k22blzDjMfnYO9g/cQFltJn4FDOnjyGt68f9vWQSEFERESkLqxbu4b7xo4jNCzM7GsEQUCVfIygAD9upmYS7qYhT9R7BgiCwJkjuwgMjSSilfXi/zUqJTFt4wiPbo+XTyCCIHD1yhEunT5Et76mEwDWN45OzowYP5Vj+3bQb8hIW4sjItKsEQ1IG6PVaJBKpajV5sX2VVJ0+xouGcdJvl1OYfJ53Ft0pDw/FUV2Ur2sxuqX+WjMVMYtKJVKTh45wIRxEwkJ/TvFt7GSHKa4M86xpLgUewcHWvwvphIgtEUEPr5+5GRnEhRi/gtRXdFP915Z5uO1uU9w7MAuTsUn4O9Tt5VhMaZDRETE2mg0GgTBdOzjnRTdvkbWyQ1EtIglMfEm/sEaBE15vek9MF5OyeIx9OIVTZXTMIYlcYLJidfwdJEyavRwncRC+jGOptCXu7BUgYe/L8HRf9eAjG7ThWN7/6xWrtrMY3BvRuI97SM9DfooSkuYc/8QWkS34f77J+mct0asvz7W0I1iLgCRpooYA2ljAgIDad+hIwf27zP7GkEQSFr/b+zUBTgVJXArOR1FdlLVLqSlSrk5Ul5ezq7tW/Dx9SPEghVuc1Apy5HLDR/6YRFRXDhz0qpz1ZZH575KUGg4/gGBthZFRERExIAJEyfx158bze4vCAK3Nr6HujQX17S9xF++iFZdjrIolzxR71WRm53BmWMH6Nitl9Wz0qqVSuRyvSRsbh6AhIy0JKvOVRscnV0YNn4aPQePsrUoIiLNHtGAbAQUFRXi51d9EVyD/revo8pLRqnWotYKKEpyUWQloCrKpjSzoojy3c7mjetRqzXcO26C1ccuKMjH3dMwa16nrj3IzEgnM92w+HJDolapWPbfz8m8nUpiwg2byiIiIiJijKKiQvz9LdN7yv/ptjKlhrL8DFRF2ahLcihJPifqPaC0uIhdf/1Buy49iGhpOjGRpRQX5uPsqltHUSqV0r5bPy6dPmhzIz4l8SpHdm9i14ZfbCqHiMjdgOib1ghQqVQWPXhv7/0OgOM38vB1cyDC1wmNopjS9GvYewTWqohyU3JRNcXttFSyMjOY8egTOBqp0xjorfv5GCvrUZPbUk5WBl7euinBK9xg7fHx9gS1olZy1wZ9Vx93Fzk52Xkc2r0VgKTEBCKjoo1dWkVDuKiKbjpNk/T0dJYsWcLFixeJj4+ntLSUZcuW0bNnT7Ou37p1Kz/++CM3blQsZERFRTFz5kxGjx6t0y8rK4tFixaxb98+srKy8PX1pV+/fsyZM4eAgACr35eI7VGp1Gi1WrP7Z+xbUnGdRsvOi9kM7+AHGiVqRTGK3BRk9tbJMG1OmSdLMeWSWVl+qZLKUISaMObWeenMMaJi2hIV085oTKh+uRD9ciI1IQgC+blZtOnc06BUh2+QP5qTCpxca1e+qrqSJDXhHeqh0w72dubAxiMUF+RRDDjZy5BKrbtHIoZz3B2Ies88xB1IG1NcXEzCjRt07NTJrP5KpZKSxGMAZBQqaR3s+j9FIeDkH0WLkfOwd/OteZBmTn5eHkEhoUaNx7oiCAIJ164YzbYqCAI5WZmEtgi3+ryW4OPrT5+BQ4nrM4CBQ4bZVBaRpk1SUhJ//fUXzs7O9OrVy6Jr165dy3PPPYe/vz+ffvopn376KQEBAcybN4/Vq1dX9VMqlUyfPp3Nmzfz2GOP8d133/H444+zbds2ZsyYgVJZ9xg0kcbHsaNH6Nmrt1l9lUolRQkVeq9YocZOKiHEq+L5bufmj3NANJrykpqGuCsoLMwnKDSiXsbOz60o2eHuZVhPsTAvG/+gFlY32Cxl3AMzAXjns+9sLotI00XUe+YhLqfYmPPnzhEVHY2DmZk7k9a/V/VzlL8zp27mE+QZgEQioTA9EefLe3D0nXlXZ6RTKMpQlpdbfVyNRsOR/bsBCAwONThfrlAgkUhwqAfD1VIErZapjzx1V38PROpOXFwchw8fBmDHjh3s2rXL7GvXrFlDSEgICxYsqHqZ69+/P8OGDWP9+vVMnjwZgNOnT3Pz5k3ee+89pkypyJbcs2dP5HI5//jHPzh9+rTZK78iTYfz587Rtl07s/omb3wfqPDS8XCSI7eTcj2jhFaBrqiKclE5OJEn6j6UCgUqlfVfPIvyczl5YDtRrTsa/XxLS4pwcrF9GY+S4iLcPb0YMPxeW4si0oQR9Z55iAakjVm5/Gcm3/+AWX0VCgVF1/5OttMhzJ2krFKOJ+TTI9oLitMpSj6LV84tnHxtuwtmLQrKLMtOW1ZayomjRxg8rPqU4rVxUVIplRzcu5P8vBzuuW+iUSWqVJYjkUoRBMHoef0scPpymDoPhhlj9V2dKt1z/f18KS/KMXovosuqiLnUZRXfzs4OZ2dnnTGkUinOzs7Y29vr9ANwc3PTub6yfWdfkeZBaWkpG9at5fU3/2Gyr1KppODK3qq2VCphUBsfNp3JwNvVHh/XIsqL8yhOqYiDrEn36YdqGNMv1si6qo+7S83PQ3NcVk2RnZqApryE1rGxyOzsjM4Zn1xQ4xj6rqkAeTmZHN+7hdDIVrRsY+gp5eYkRy7R4uJobzQDq7Fj+i6rrcN03VFTs3Vda41lrTVwA/ZzwcPRB61Gg4ejxqB/bagPXSnqxsaPqPfMQ9zjtzEH9u9jlJ5fdHUk/PKSTlsmlTCioz9nkgpQaSpiSUqSryC1UixIU6OkuJgVy34kKDiEljHWSSCgKCvlzIkjbPzjV8pKSxg5dhJu7h5G+9rbO6BRq9ForKO86sKI0WPYvWObrcUQaYSkp6eTkpKi86+wsNDq80ybNo0bN26wePFicnNzyc3NZfHixSQmJjJz5syqfp07d6Zjx44sXLiQ8+fPU1JSwvnz51m4cCFxcXF0MtO9X6TpcP7cOcIjIggJNfTk0Cf5zw8Njvm5O9A53IPTNysMIk1RFuW5qXet7ku6cYUDOzfRZ/A9yOysY/TkZKZx4cRB9m1eTat2XWnTuRfSarK62js4olCYH09ZX7i6udO5a3eOHNxva1FEGiENofvuJr0n7kDakIQbN8jPzycmtrXJvlqtFmVuRZa50nINF1IK0WgFEjJL8XVzwE76vx0vbdn/YkH86lHyxodarWbH1s20aBHO8FHWcV8pKy1h21/rcHR0pk37TrSMbYO8mlUhpVLJwX27iWnTrmplyZa0im3NlfjLthZDpB5wdrCrVU0zZ4eK7+W0adMMzs2dO5dnn322zrLdybBhw1i8eDGvvPIKCxYsqJDB2ZkvvviCAQMGVPWTyWT89NNPvPrqq1XuPVDh9vPFF1+IsUzNkO1bt9C3X3+z+kqd/l6wS80tIzm3jGKFhlvZpRWeNwBocfCPRqu0vRHT0OTlZHLq8B7uGTuFgCDTBrk5ZN7+//buOzCqKn34+HcyKZOE9EIakIRQpChICSBFmoAKCqhgQRdRVwXXgrvs6ro/y659XRUEdl9cASUqIjVA6E3pvUkIgSSkQOqkJ5PM3PePLIEpyUxCMknI8/lH555z75wJME/Ovc9zzmX2b48lqltvBo64n8CQ9jX2LcjP49ypIwxqJltndOzclQvxvwEPNvVQRANrCbGvNcW9pv9NtxXbsD6W8RMesLinoKmCC/tQOTpBOey/kEuFXsFJreKengH4ezgbpUxWluQB4Y038GYoLfUyGelpjBg9hjOnTqDT6WjTxgMPT08CAtvaNKmrqKggLzeHNh4egBMH9+7Bw9OLYaPG1bifVmVFBcePHCQtKQEvbx9GjrXtaXJjC2vXnuRLFyktLcXV1bWphyOakWXLlhEUZLw/qKenZw296+/XX39l9uzZ3HfffYwZMwa9Xs+6det47bXX+PLLL7n77ruBqn93s2fPJiEhgffff58OHTqQmJjIvHnzePHFF1m0aJFN35Gi5Yhdt5Yvv1pgU1+P0C7kHQNdpYFNp7LoHOSOh8aRRweF4ep8/Xu5PDupXiuQt3TnTh4hMDiMstJSzp0+jkqlwr2NByHBAXh5+9hUE1paUkR5aSkeXlX9921dR/TwewmqZUGevJxMkuJPk51+idtu70NAUGgDfqr6C23XnpPHDjf1MEQzZI/Y15rinkwgm1B6ejqRHWvfYgGqnj5mHlyOg9qJ3BI9ydmlTB0YahQ8AXB0wVHjQWHScTza96oxcDSXLTss1Z/Ut+agbVAwXt7enDx+DPc27jg7u3A5OZmCfC2lRfmEhYURHhFJYNtAFEdX8nJz8fbxwcvbh6u5xZQUF7F+9U84OztTXFSIt38IWVczGHnvRIrLDHi6G/+s3dSV5ObmcPrkCbR5uQwcPIyON6TNWrpLVteaR1uuERpg/AvTtZ9ffmYRvr5+/Hve5/x+1iuNPomUuo6WIygoiDAbUgdvhqIozJkzhwEDBvDuu+9WHx86dChXrlzhvffeqw6kP//8Mzt27GDNmjV07VqVjdG3b18iIiKYNm0a69ev58EHH2zU8YrGZfpdn5GRQURkpNXzDAYDOSfiULt6cea3ZMJ8NAzuYr4KKE6uoBhQu5nvz1sbW+rMTWsiTdstsVbT2BDbeFyrLezUuQtnTxwmPSkeN3f3qt8X0i5ybH8uiqIQ1q4DQaFhePv44a2uWmgmtH0HDHo9SdkVXDx3kt+OH0Dj6kZhfiEBQWE4Obvj6RVs9p6KohCgKUObl8fFo7toHx5J775T8fDyrtNnsdana3tvo9dpWeYr7JrWVl6Ll6XFBTiqHfghJobxkx42axetV2PHvtYW92QC2cRs2Qer4MI+dAWZVOrK2JeQwx3tPc0njwCV5VSW6Cm8dIiy7iNumYV0bKHRaHh02u8strmoKklOTiLp0iUuXUwkM0eLj68fVzLS0ZWXU1xeicrBgX4Dh9D99t5U6HQcOniILj164R9ofLcq7XIyZ04cpTD3KgGBgQSHhDJqzDj0WH5C2VT2/voLbu5ufPr+ewwfdQ939O7T1EMSrUh2djZZWVn06NHDrK1Hjx4cPHiQ8vJyXFxcOHv2LE5OTtVB9MZ+ABcuXLDLmIX9KIoCNux9XHBhH+XadAq1uRxLLmBSP/NJDQCVOioKs8k5HktgnwcaeLTNW0RUFyKiupgtmqMoCvnaPFJTkki7nMxvp05gMBhwc3dnx6b1ODo5kl1YNXEbOeEx3Np4kJGSypXUJLr3Hmx2rd+OH+BqWhJeGgU//7b0HzSETl27my1409T2/7qHfb/sYcfWzUYTSCEaW2uLezKBbCLnzv3Gj9/HEPPjT7X2u/b0UVGpKcjP50p+GSO617LPo6ESg76iVaby1ESj0dClS1e6/K/W9NrdcEVRUBSFC8kZZF29QmSnqieITs7O9Ojd3+w6JcVFbNmwhr7Rd9F3wn14e1+/290Ym0/fjKysLC6nVNXMdu/Z/Iuxxa3Fy8sLFxcXTp48adZ24sQJvL29q7cuCgwMpKKigrNnz9KtW7fqfsePHwdoERsqC9stnPs5QUFB+AfUXqdvMBi4emA5+rISzqUXEhnghrdbDU+RFD0oKly8a5hgtkIqlQpvH1+8fXzpccedRm0GgwGVSsWu/SfRuLrj1qZq5UcvnwC8fIz/XBRFISnhDGnJF+jWK5phA3s1izr/mqSnpQHwu+dmNfFIRGvT2uJe8/0WuEVdm7y88/Y7PP/Sq0Rb2aQ0/8J+SrOSMOh1xKdp6dTWHWfHmoprVXSc8hFeHc0nP81RY20nYe26pu2hwYGEBgcaHbsxTamyspLki4lsjF3N7XfcycBBA62mw9gyoazPpNNa2uu1v1+BoVWLHrw6541GCfaSstp6xMXFAXDq1CkADh06RF5eHq6urgwbNgyAadOmcfDgQeLj44GqJcinTp3KkiVLePPNNxkzZgwGg4HVq1dz5MgRXnnllerrT5o0icWLFzNr1ixeeOEF2rVrR2JiIvPnz8ff35/777/fvh9Y1JmtZRF5ebl8+elHHDx6rNbaPEVRyDq8irLsJAwVpZxLL2J0z5onnJqACKKmfoKzh/HNVWvbdthSJmCqIbb5ME3htIVpyqa1rUFqc22Bjk6dOtX6HiVFhZw9fpDki+cZNHwcwe3CrcYTW9JvTZ9aWtrqo66u/bn5+QeQfOkijzzxlJUzzMm2HeIaiXvWyQSyCVRWVrJ7+zb+/vFntfbT6/Xknd2KvrSAK9pSTqcWMu6OtkBV4FU5aej8xBe4B3e2w6hbp+LiIlb+sAxXNzdGjB5LtxbyNE+lUjFsxChem/NmUw9FtHAvv/yy0eu5c+cCEBoaWusGy3PmzCEyMpLly5ezadMmHBwcCA8P5+OPP2bChAnV/UJCQvjpp5+YN28eCxYsIDs7m4CAAIYNG8asWbPw8albXZtovn7ZuYN+AwbWun2Hoijknt1JzokNVJbkcyAxF0e1A/4eLoADqFSoHJ0l9jWy5MR4Dv+6naDQ9owa/whePhZqT5shH19/PvxiAf4BgdY7C1EDiXvWyQSyCcT/doagkBCrX3DJe2LQnt1OXqmarb8VMm74ICJDfFEUBX1JHh7hfXEL6lTrNUT96MrLOXxgL2dPn+SO3n3pN/Cuph5SneRkZxPYNsimFfiEqM21u6u1+fbbb82OqdVqpk6dytSpU62eHxERwT//+c96jU+0HIcO7GPAXbVv31GYcYHkte+jGHScSC0jQ+fJ1AmD0Tg7YigvQhMQjqtfB4l9jSQvJ5OTh/eSm3WVEfdNxsevZU3EcnOzCQ2redsRIWwhcc86mUA2gfTUVMLa1f4Fp9fr0e79mqKySlYdSCa6SxChmhJ0+VXpMypHZwqTj1CanYxbQLgdRt166PV6dm/fQnpaKpOnTsPH17eph1Rne3ZuZ8CgwdY7CiGEnWSkp9F/wKAa2xVF4cKPb4JSwZnUQk4l5zPx7t6oy3KoKANFX0lZdgqGSh1lOSmtaqE4eygvKyNu5TK6945m0PBxODm7NPWQ6iQ3J4cL8efo2t18ERMhRMOSCWQDsrUO5MTxo7RrX3vgS94Tg96gEHvsKndGeNM92IXK0gJUaidU/0vhwaCnskRb53Fayslviq096rONh2m7pWuYHrPlnGv0ej3rfl7OlfQUIiKjCAupKmQ2rYtpiEVzrC0PX9/32LwhluNHDvPx51/Ve2w3khoOIURdWPqOraio4Oypk8x8ZXaN3ymFGRegNJO03FKOJuUz/s62tKnMprLUrTruVRRkonJQ12uhuLrEgmusbdthqSbSWn2iaZ2g6XZM9nJj7WFeTja/bPgRfy8NfXp0pGNUW86laM3OsaXG8WZZ2rbDFn/74x+YPPUJPL28m2zbDomXorWQCaSd6XQ6vl7wFXG791lsVxSFovR4tHu/JqugHAcV9OrgBYDK2RWNdzAOTprq/hrfxt3PrbX5Zed2dLpynp/1CppG3juxMZSWlrJsyX+Z8fxMPBphc3ghhKiP2NUrCW3XvsYthQwGAxdi/ghA4tVibm/viY971eTN2ScUR5frC89EPPiW2YI5ov50unK2xK5gyODB3N67D84uLevJI0DSxUR2bd/CryfON/VQhGgVZAJpZ3Gxa4ns1IkO4REW20syL5Kw9FUALmaWEBl4/c6ko1cI3p0GEjT4Salta2CKorBr22ZSki4xaerjuLdp09RDqrM9O7byf396hZ69evPAZNn/SgjRPBgMBlYu/577JjxoMXbp9XriV7wNOi0AiZklPBQdUt2u9gyi88PvStxrBAX5eezYuIb2EVH0rSW9uLnS6cpZPP9T4lZ9z6t/fgtPL++mHpIQrYJMIBuRaXrM+rWreWvObBb/sKL62I3pDoqicCZuLiilABSUVtIp6PoEsuLqOYo8/G669qMp0lXrq64prWD+c7eWpuSucWLfr3soys/l6Wefw8XF5aZTVG1Z6t00Nco0Xahre2+b3kuv1/Pxu2+xKXYNn321kCF3j6hua6ytUoQQwlbPPfUYZWVlPPrkdIvtWUdWU5a4B4BSnR4FaOOirm4vubCHkqwk3AMt33itL1u+561tnWQpxdVaeYK1/vbirnFg489r6d3nTrrfcadZ6qil7UZMU1hNt+BIz7W+RYfpsdMnM4xe+4Z52XSNjNQU/vbq0wSFtGP9rgN1WnlVYqMQN0f+BdnRtk0bePVPf6F3n34W20syL6JLOw6A3qCQoS1j2G3GS2cXZSTUq/ZD1EyrzePooYM8MX1G9SavLUVZaSmzX3yGkpIi1mz7hZCglrVinhDi1qbX69m0fh3n07JxdjafSOn1etJ3/rf6dVpeGSHeGrOnjXmXjjf4BLK1O338CG08POnRy3JacXOW8Nsp3njpKR6d/iITH5uBf0DLyxoSoiWTCaQdBYeEkpWVabFNURSSN39V/f+/xufg6+6Eq7PauF9xptR+NKAL5+PZtCGWu4YOw6uFpb4YDAZen/kMjk6O/Pvbnyz+ciZuPR4ax3rdPS/WyNe9sD+1Wk3b4GCyMq/SvkO4WXvWkdVQWfXkq7CskoOJefTu4GXWL3PP14RFT2zk0bYOiqKwa8tG0lJTGD/Z+nYDzU3G5ST+8uITvPzG+wwdfV9TD0fYicS+5kV+qnY0YvRYnn78EcY98DARHaP+d7RqoZaSzIuUXT4KwPmMYrILddx/Z1ATjdS6+qygerP9bR2HrUpLS9m6aSMPTn6E0HbtjNrquoKbLalQpqk/5y7nG72+sifZ6LXHA7eZXePG1f2++OBtCvK1xKxc16BPTmUVOSHEzTD9Phxxz728+afZzP8mBgcHB67FPb1eT/rub6r77TibzW0hHnQNMX+adOPicfVlGi/qs1KnLemp1lJWrbHl/JtJe008/xvZ2ZlMmTYDR6frPwPT1WAtvYdpH9O0V9N008JS89iYnJBt9Lp44WGj175/H1nj2Avztbz72nRe+dMbTH3skRr72YPEStGaOTT1AFqTPv2jeWz6syxdtMDo+I1PHwHKK/UEeLrg7Ch/PI2lsrKS9WtW0rVbd7PJY0uwd9c2tm5cy6Jvv29xabdCiNblL+98wKXEBE6fPGZ0POvIatAVVb8urzAQ6mOevgrQbuTvG3uYrUJ25hV+3bmNoSPGGE0eW4qFH/+V3gOGMvXJp5t6KEK0ajJDsbOut3XnaoZxwXhJ5qXqp48AAZ4uZBWUW76Au6Sv3iydTkfs6pW4uGgYOrzmO53NVVFhIf94czZ//eBf+Pj6WT9BCCGakLOzM5FRncm8IfaZPn0ECPBwJtNS7HN0w6/H6MYe5i0v6+oV4tauZMiIewgMCm7q4dTZvp1xXIw/zVMz/9LUQxGi1ZMUVjvT6/Vmx7LO7DB6HeDhgrakAl2lwewppEdI10Yd363uwvl4du/cTmhYGCPvGfe/dKqW5cuP3mHgkOFE3zWsqYcihBA2MZjEvuxj64yePgIEe2tIySmlh0lSiCYwvJFHd2urrKzk8P5fiD9zimGjxhLesVNTD6nOCvO1/PuTt/jj37/CRXPz6cxCiJsjE0g7S0pOxi8wqLq2oKi8Au2pjUZ9HNUqXJ3VlOj0ZhNI39usTxoaY5sO09qRxqpfbIjrml7j2vtcvZLB1k0bGXv/BDqER9zUnmKmNT71qaXxdDdeKCLEpObRtNYE4HLyJbbHrWPr/uMW62RkaXIhRFOzVCeYkZ5GUEho9TGVhZt3nq6OFJebx4W2fW1bPKcxYp/pd32Qr/VV0Ou6DdTN1kxau8bu7bspLy5g8mNP0cbDs8ZzbKmrNO1zY12+pddp2cbbegCE3G789DPdpOYxxNd8+5CVi5cyYMgIBgy6y+K46hODhRD11/Iev7RwCefOEhHVufq1oiioHI1r2AwGhYLSSpzVxn88Pf+4RdJ46iknO4u42LX0ix5IUHAIl1OSybx6pamHZWb/nm3ELJpbY3vM4kVMmvo4Hp7mqxQKIURzVF5WxuWkS4RHdgSq4p6+ONesX1F5JQ4WbuxJ3KsfRVE4c/I458+dYcjwkVRWVpKakkRJcZH1k+3su3l/5+K5UxbbKip0rPvpWx6aJnWwQjQXMoG0o80bYtm9NY7+N6Qe6nJTULt5G/VTqcDdRc2RS1qj4+lba55YiJpdTk7iP/Pn0vm22wiPjOS//57Pvl92s3rFcrZt2mgxrbipHN67i0VffsCebRtRFIWiwgK2bdpAcXERJSXFrPwxhsd+90xTD1MIIWxSVlbKB2+/Qbeed1Q//SrLSaEkMxFMbp76uDuToS0jM/96HaSDxtuew72l7Ny6id3btzBu/EQSE86zbsX3HDu4jxXLFpN8KbGph2ckbsVi/vnGc2RcvgRAUuJ5Th45AMDuzbF0iOxMRFSXphyiEOIGku/WiG5MY/n3l//kp5ilLFjyAz26X09VVDu5U1lw/UlYXnEFl3NKUDuo6ODvanQ9F//wRh+zPdkj3VJRFI7u30MbVxfOnTzGqSMH6dt/EP0HDqK8vJyN69bw848xjH9wMq5u5mkzNTFNl7ElpdV6ik0x48ZPYOWyRfzfqzPYHvs9Rw8epKyslBdffo3g0DD6DxhI187X61ca4mcoS5ELIRpDhU7HUxPH0LVbN+Yvjqk+rnZxp7KkAAxK9bHEq8VoSypwd1Hj2+Z6aqWmbUeL126MdFUw/y43TdlsiFTJxk5ZBcjX5rH/l10EhYQSu+onHJ2cmPrEk/j6+ZGRlsrGdasoL87nzn7R1eUcDbF9iOk1ura34ZqlFYy8/2G2xf7EnKfGMOKee9m9Ywu68nK27DvGxpVLmfnya3Ru5231Wtc0xu8XEiuFuE4mkHayffNGPvxiIX36DzA67tjGn4Chz3B140cAnE0tID6jiAFRvrTzuz6BbNOhF14Rfew65lvBpriNgIo/v/Emjo5Vf92v1US6uLgwYdJD/Lp7J8uWfsOEiZMJbNu0e28Gh7bD0cmJp198FWcHAx4ensSuXkmHiEg+//gDPpm7wPpFhBCiGUi7nEx5WSmfLfiv0XFnD3+6TPuCq4dXkrb5SwwGha2nswgPcOOenoE4qv+Xxqp2ImTwtCYYectWXFzEquXfc9/Eh7i9l/nvDcGhYTz82JOsX/0zOVmZDL9nHE5NvKVH+8jOhLSPZMjo8XTp2I6tcbEAxJ89Q05WFqPH3tek4xNCGJMJpJ2kpiTTrn0Hi22et41El5eONv4XErOvMGlQJL5tNDi4uINBj0rtiEFvQO1ivXhfXFdRUcHxo0d5+bXZ1ZNHUw4ODgy5ewQBgW1Z8UMMY+8bT2RU061Q9+VH7zJy7Hie+8MfCfJ1Z95nn+AfEMjxI4eJHjSYu4bIyqtCiJYh7XIyoe3Da2wP7DOR8rwMDsZ9T5CfB2P7hKFSORjFPhef0BrPF5ZdTDhPQGCgxcnjNR6eXkx+dBo7Nm9kRcxSJj7yGBpX1xr7N6aS4iK++fIfvL9wOd17R9O1vTeL//MV7378OXNefoEv//01arW6ScYmhLBMaiDtpLKyEnUNkxhdbgrlWRdIzsimbdtAAvz9UDk64eTug2dkP9yCO9Ph3tk4e8gekHXh5ORE26Bgrl6xvlhO127defChR4hbv44rGekAFBcV2bU+UlEUNseuokCbV/3+x44c4szJE2zdtJG3P/jYbmMRQoibZTAYav3Fvyw7mQptOhfzoFe3KBxdPcxin0FnvoqnqF1oWHuyrl612s/JyYnR946nXYdwYlevQK/XV9fe29PB3ZsB8PDyASD+tzMUFhTwxcf/4J57J8iNUyGaIXkC2YhurBWI7NSFo0eOcs/YsUZ9FEWhMH43ao0HF9NzaOfjBqhQOaipLNFSrq3aePnGp4+NVftxI0tbbNzsNWraXqO2PtZY6n/tuqUlJWTlas2266hpHCGhYfTu05eE+HO4OcJ3S5fQtm0QD02ZguJkXB9prebRls9h+vmXfzOPO3rfybIVqyguLmL4gGi6devOxcQEvv5mCe2D5AaCEKLliOzUhfO/ncbNxdHse1hRFLTndqJ3dCMlU8uInkFYi303y/R7OT2v1Oo5DVGvaG/Z2Zk291WpVNw1bAQ/freY0sI8zp4+xdHDB+k/YBC9owdb3e7K9OdjS43ojfFTV17O6u8W8Npf32Ng/15sXLOCz9//G7379OXSxUT+9u7fbf4sQgj7kQmknXSI7ERqSpLZcV1uCrqsi2QV68nVORPs5oOzVxAu3sHodcWEDHsGV3/Lqa+idsXFRejKy2nfwfafn8Fg4OzpU2SkXOShKVO4euUqP8Qs46Ennm7UFJqysjJ+/vF73nr3fS6cj+etObMJCAhApVLx2BPTGDlalrEXVdycHeu1mIObs3zdC/sKCWtPvjaPsrIyXE3SI8tyUii+eoEL6YXg5I7KPQBnV2eJfQ0g80oGEXUoxVCpVBQW5LN5w3o0rhqefPpZtsRtQK840G+g5X0XG8rJY0fIvJLBY9Of5+eYJSz41wdMengKq1cs57sVq+u0uJ24tUnsa17kp2onKpXKYjqk2sWditJ8Vm06RmiAJ7d3rFrEpTHuvrY2RUVF+Pj6Wr2DeqPeffrh5x/AbZ0i8PT0pFOnzmSkp7Ft00Z69upN26BgHCxsgF1fBoOBHVs28d7f3uC27j0YfPcI/v7WX3Bzc0Obm41KpeKd9+QOrBCi5VGpVKhQYagh9l1KusyWAwmM6tORNq5VT7Ik9t284qIigkLqVjs6fuLDqAwVdIiIRK1Wc98DE1n89SI8vb0JCg7By9unQcdYkK/l26//w9JFC3j9rX8A8PHbc3jo8eksj/mWf3zyObf3urNB31MI0XBkAmknPXv1Ye+ubRSWPGt0PCTUH+9x/4d3+iKeefU1PDTNM13GNGXTEtP0oPoso20t7dUWXq6OVFZWcuiXHdw91Prd0xvfw8vVi2D/O8gvrawey5BR97J962Z++G4J7dp3oG/0QLp3jjRamMd03Lak55aXl/PQ/fegKy9nzltvM/XhySiKwvnfznDk8CH69uvP0pjvb2p1PFl2XAhhbwXF1+NF15692b17D0NHjLqhhyvOHv4493uae+/QMdqGDIuGKN0w/V62Jd3ySm5xre22bNlkS/ysq5rGnpqSQmZGKnePGlOn612bcJZVGKDCgKOLO2Puf4BfdmwjOyuTvgMG0aVrd8JCg4xuypp+Nlu2tDq8fy8zn36MIcNHsyJuB107d+LSxUT0ej27tm5gzl/fZvKUR+s0ftm2Qwj7kkV07KTvwMEcObAXRVHM2vK1Wnx86vakTNQuLTWVwsJCunXvcdPXcnVz474JD/Ly638mIjKKfb/s5ot/fUZi4oWbuu7xI4cpLysjbtc+xt3/AKdPnWT4kLvYt/dX+kcPYOXadbi7y114IUTL1avfIA7s3W2xTavV4uvra+cR3dpOnTzGbd174KLR3PS12rUP59GnZvDkM89TXlbGmhU/ELP0G8rKym7quiuXL+OFV/7Ep1/9P8LadeD7bxczpE9PAF55/c9Mf+6Fmx67EKJxyQTSToJCwtDrK8nNyTJr02g05Odr0elq36BX2C40LIwKnY7SUuuLJNjKwcGBPv2jeXTa73j4kSnErl1Lbm5uva5VUVHBpx+8x/gHJ6NSqfh1zy4G9uvLkcOHeXHWS6xZv0Emj0KIFq/TbT2JP3vGYptGo+GqDauFCtu17xBObk5Og17Ty9uHu0eN4Xe/n0lgYFu2bFxv8Wa4LU6fPM72TRsZOWYcBoOBt17/A3/8w4sAfL8qliemP9OQQxdCNBJJYW1EN6bxQNVGuQcPn+T2voOqjwX5uuPi6YdPQDBbd+xm4rhR1SmL2dnZpPznIQA8Hv5/dOpkv/0JraWD1Lb6aU19GmJlV1soisKB/fsJCGyLWz0L8K1+/g4dGDJ0GN8tXcI9Y8fSuXMXq7WRN37+uPXr2PfLbqI6dSa6ZxfSUi8DELtxE8OGD6/XmEFSboQQzUt4VBfiz/1GWtb1VNAQn6oFdXr1i2bh/K+I6tqNzpHh1e1HDx+Gza+DYxg9X/2mwTa5r8/q2EG+td/Is5SeaktqbF3Zcs2S4mJOHq96AlnX1VBtfY/+Q0awbuVyfoiJYcjwUYSFtK3Te3z43jsUFxfx34XziFm8CIBhI0fx5cKv8fMPABonHVUI0bDkCaQdefn4UlyYb7Ft0JChnD55gpiYmOpj1yaPAIU/PWvpNGFBdlYWv+7ZzQMTJzbq+9zZpw/jJzzA/r37+OzTT9i8KY6KCttqXfbs3AHAt98sIi31MrNefZ3s/MKbmjwKIURz4+XtS3EN+wq6u7szZOgwFv/3a06ePHm9YfPrVf+tTCV5wz/tMMpbw6ED+3B2dmnUxWccHR2ZMHkKQcEhrPzxO77+93wS4s/Z/ERy59ZN6MrLqyePi5evYdmKtdWTRyFEyyC3eezI2dkFna7cYpt/QCDePj44Oztz9P27LfZJSEiw61PIlkrj6ora0dEutTURkZFEREZSVFTEpo0b+HbJEqbPmGG1njX4hhXydh44RlTnLri4yD9HIcStxdnFBV255bgH0KlzZ7Zu3oRKpbIY+wrOxFFx7+xGHOGtQ6Nxxc/fv0FXCrdErVbTf9Bg+g28i9zMdOJi11JUVEjvPv2snhsQ2JaszKuMn/QI7382D2cXl0YdqxCiccgTSDvy8PQiMyO1xvY2Hp6U7PioxnZ5Cmmba+lOBQWW73o3hjZt2jDpoYcxGPRWF9dRFIXDB/bR4/Y7OHjqPFGdu9hplEIIYV9OTs6o1WqyM69YbHd3d8fJyYnc5TUvnJK0/pPGGt4tReOqIa+edfn1oVKpaN8hnAmTHuLQ/n0Wtyq7UUZaKoUFBTwz82U+/GKBTB6FaMGsPvJIS0uzxzhuCSU649qJ5JRMo9d3Dh7F5397ja7dR1Yf83Eqqf5/T29fNifkE+DlhouT5bn9pu078Q8KMzrmoWn8J1eFZcafzfKvAsZM+5iO0/SalhTX47OVlpaSl5dLRno6RYWFdT7/ZkR27Mj6det4cNJknBwtjz1u4wbSU1OI+fEnXF2dKM6tWkSi9sXiLTPdIFdbj2uIxnXlii3/Wpqn4uJi/vWvfxEXF0dBQQFRUVHMnDmTkSNHWj03JSWFDz/8kAMHDmAwGOjbty9z5swhKirKrO/SpUtZtmwZaWlpBAUFMWXKFGbMmNHoT1JqI7HPMtM4Z4lp7OszcCwLPv2Ekfc/BYCnuqNRu7u3P1t25TKkq+WskayDG8iJnGT0nVqfuGdLzKlPnDJ7HyvtJeV1v6abDRkqGWnp5OXmcCW9fn936xMtr52jVqvZvjmOnnf0qrHvX2fPYsbzLzD92RcoLbhhomvyM69PLGwIEk8blsS+lhn7bKVSakhcLygooF8/6+kIQgghaufl5cXmzZvx9vau9zVSU1MZOXIk27ZtIywszPoJDXD+9OnTOXv2LK+//jphYWGsWrWKdevWsXDhQoYNG1bjeTk5OTzwwAP4+fnx0ksvoVarWbBgASkpKaxevZqgoKDqvvPnz2fu3Lk8//zzDBgwgGPHjjF37lymT5/O66+/XufPebMk9gkhRMOQ2NdyYl9d1XhLy9PTk0OHDtk1DVAIIW5Fbdq0uakA2hR27drF3r17mTdvXvVG7wMGDODy5ct8+OGHtQbRr7/+moKCAn7++Wfatq1apbFXr16MHDmSBQsW8M477wCQl5fHwoULefzxx3n55ZcBiI6OprS0lEWLFvHEE08YBVx7kNgnhBANQ2Jfy4l9dVVrToSnpyeenp72GosQQohmYsuWLXh4eBil7KhUKiZOnMhbb73FhQsXLKbkAGzdupVBgwZVB1AAHx8fhg8fzpYtW6qD6J49eygvL2eiyYrJEydOZOHChWzbto3HH3+8ET5d7ST2CSFE69SaY19dyLKPQgjRgtS3ruTaeZbOtzRhSkhIICoqyqwWo0uXqkWfzp8/bzGIlpWVkZKSwtixY83aunTpQmxsLDk5Ofj5+ZGQkIBKpTJbXTo8PByNRkNCQkLdPqQQQohbksS+5kUmkEII0QK0adMGLy+vm7or6eLiYvH8WbNm8dJLLxkd02q1hIeHm/X18vKqbrckPz8fRVGq+93oWiqTVqvFz88PrVaLq6srzs7OZn09PT1rfA8hhBCtg8S+5kkmkEII0QJ4e3uzefNmioqK6n0NRVEs7lFaU7pmbfuZWtvr1Fq7LRriGkIIIVouiX3Nk0wghRCihfD29rbbggTe3t4W74Lm5+cDWLzLeu24SqWyeO61Y9c+g7e3N6Wlpeh0OrM7sQUFBTW+hxBCiNZDYl/z0/w3GhFCCGF3UVFRJCYmYjAYjI6fP38egM6dO1s8T6PR0K5du+p+puf6+vri5+dX/R6KopjVeyQnJ1NWVmZWHyKEEEI0Jol9tpEJpBBCCDOjR4+moKCA7du3Gx1fvXo1ERERNa5CBzBq1Cj27t1LVlZW9TGtVsuOHTuql0UHGDp0KM7OzqxZs8bo/FWrVuHo6MiIESMa6NMIIYQQ1knss42ksAohhDAzbNgwoqOjefPNN9FqtYSFhbF69WqOHDnC/Pnzq/tNmzaNgwcPEh8fX31sxowZrF27lueee46ZM2fi6OjIggULcHR05Pnnn6/u5+Pjw+9//3vmz5+Ph4cH0dHRHD9+nEWLFvHkk08SHBxs188shBCidZPYZxuVoihKUw9CCCFE81NUVMRnn33Gpk2bKCgoICoqipkzZzJq1KjqPpaCKEBSUhIfffQRBw4cQFEU+vTpw5w5c8xScxRFYcmSJcTExJCenk5gYCBTpkzh2WefNVtGXQghhGhsEvuskwmkEEIIIYQQQgibNP8prhBCCCGEEEKIZkEmkEIIIYQQQgghbCITSCGEEEIIIYQQNpEJpBBCCCGEEEIIm8gEUgghhBBCCCGETWQCKYQQQgghhBDCJjKBFEIIIYQQQghhE5lACiGEEEIIIYSwyf8HYmu5sWb7SMEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x1152 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plot total BC deposition for different seasons & wet/dry deposition\n",
    "#Figure in paper: S4\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "###Dry epp BC flux throughout 2015\n",
    "fig, axes = plt.subplots(2, 2, figsize=[16, 16], subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "#fig.tight_layout()\n",
    "fig.subplots_adjust(left=None, bottom=None, right=None, top=None,hspace = .15, wspace=.001)\n",
    "axes = axes.flatten()\n",
    "\n",
    "#plots for BC dep per month\n",
    "\n",
    "titles= ['a) Wet season: Wet deposition ', \n",
    "         'b) Dry season: Wet deposition', 'c) Wet season: Dry deposition ','d) Dry season: Dry deposition ']\n",
    "         #'BCPI:BCPO dry dep.[BB]','BCPI:BCPO wet dep.[BB]']\n",
    "\n",
    "#data_plot= drydepBC_2014_15_sumtotal[0:12]\n",
    "lat= BCDST_flux2014_19_dryavgsum['lat'].values\n",
    "lon= BCDST_flux2014_19_dryavgsum['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 50, 26-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "bounds1 =  np.linspace(0, 15, 26-1)\n",
    "norm1 = matplotlib.colors.BoundaryNorm(boundaries=bounds1,ncolors=256)\n",
    "\n",
    "pcm= axes[0].pcolormesh(lon,lat,BCDST_flux2014_19_wetavgsum['WetLossConv_BC'] + BCDST_flux2014_19_wetavgsum['WetLossLS_BC'],cmap=BuPu_trans, norm=norm )\n",
    "\n",
    "pcm1= axes[1].pcolormesh(lon,lat,BCDST_flux2014_19_dryavgsum['WetLossConv_BC'] + BCDST_flux2014_19_wetavgsum['WetLossLS_BC'] ,cmap=BuPu_trans, norm=norm )\n",
    "\n",
    "\n",
    "pcm2= axes[2].pcolormesh(lon,lat,BCDST_flux2014_19_wetavgsum['DryDep_BC'] ,cmap=BuPu_trans, norm=norm1 )\n",
    "\n",
    "pcm3= axes[3].pcolormesh(lon,lat,BCDST_flux2014_19_dryavgsum['DryDep_BC'],cmap=BuPu_trans, norm=norm1 )\n",
    "\n",
    "for i in range(0,4):\n",
    "    axes[i].set_title(titles[i])\n",
    "    axes[i].set_extent([-84, -34, -30, 13])\n",
    "\n",
    "    axes[i].scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=50, \n",
    "           c='peru', marker=\"^\", alpha=0.5, label = 'Glaciers')\n",
    "    axes[i].scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8, label = 'Obs.')\n",
    "    axes[i].coastlines()\n",
    "    axes[i].add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "    #get the symbols and the labels for legend\n",
    "    handles, labels = axes[i].get_legend_handles_labels()\n",
    "\n",
    "axes[0].legend(handles, labels,\n",
    "        loc='upper right', ncol=1, edgecolor='black',\n",
    "        borderpad=0.25)\n",
    "axes[2].legend(handles, labels,\n",
    "        loc='upper right', ncol=1, edgecolor='black',\n",
    "        borderpad=0.25)\n",
    "cbar=fig.colorbar(pcm, ax=axes[0], shrink=0.8,label=' ',fraction=0.2, pad=0.04 )\n",
    "cbar=fig.colorbar(pcm1, ax=axes[1], shrink=0.8,label='BC flux (mg/m² yr)',fraction=0.2, pad=0.04 )\n",
    "cbar=fig.colorbar(pcm2, ax=axes[2], shrink=0.8,label='',fraction=0.2, pad=0.04 )\n",
    "cbar=fig.colorbar(pcm3, ax=axes[3], shrink=0.8,label='BC flux (mg/m² yr)',fraction=0.2, pad=0.04 )\n",
    "\n",
    "fig.suptitle('Annual mean BC deposition contributions for 2014-2019.', y=0.90, fontsize=22);\n",
    "fig.savefig('../PP1_figs/BCAndes_FigureS4.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ps2fPzvN4UlKSfu211+qtWrXST5065X08OTlZP3PmTL66HDt2TO/evbt+5ZVXFljP2NhY/fnnn9fdbrf38T179ujNmjXTr7rqKiMvV8/KytL79Omjx8bG6r/88ku+548ePer9/9TUVL1z585606ZN9TVr1uQp9+mnn+qxsbH6nXfemefxZ555Ro+NjdV79+6tHzlyxPu4y+XSb7vtNj02NlbftGlTnm369Omj9+nTp9A657z20aNH6y6XK9/zOcc8fPiw97HDhw97txszZkye8ps3b9abN2+ud+zYUU9JSfE+Pn78eD02NlZfuXJlvmPk7O+ZZ54p9ti5DRs2TI+Njc3z2KxZs/TY2Fj9+uuv11NTU72Pp6Wl6YMHDy7w3Pjq/JfknK5cuVKPjY3Vx48fb+gYuq7rgwcP1lu0aKGfPn0633MXXvs579ENN9ygJyUleR//+++/9RYtWugdO3bU+/Tpox8/ftz7XFJSkt65c2e9S5cuea6J9evXe6+/kydPeh93uVz6v/71Lz02Nlb/+OOP8xw/9/Xn8Xj0V199VY+NjdVHjRqlZ2ZmesslJibqHTt21Dt37qzv2bMnzz52796tt23bVr/++usNvT8511OHDh308ePHe//+85//6Nddd53erFkz/dlnn83z2iZMmKDHxsbqTz75pKFjGFHUNa/r2fe/2NhYfeLEiXkeX7dund6sWTO9c+fOea7hosTGxurDhg0r8LmLPW8FOXToUL7HPB6P/vTTT+uxsbH6xo0b8zxX3Gf5QjnlH3jgAe/5e/fdd/UnnnhCb9u2rd6rV688nzGXy6W3aNFCj42N1Q8ePGjoGGbqUVC9C3qPSnKf0zRNv++++/TY2Fj9u+++03Vd1z/88EPvfdmf7r777jzHzfHwww/rsbGx+h9//FHgdjn1XbRoUaH7znnvli9fXmQdvvrqKz0uLs5bLud9GjJkiMlXU7ic++/jjz+e5/EpU6bosbGx+quvvlrgdp9//rkeGxurv/3224Xue9q0aXpsbKw+bty4Ap/PyMjQmzVrpjdt2rTAz/OYMWP02NhYfcCAASZeUflkOl3NLbfcgsfj4aeffgKyWwL/+usvBg0aREhISIHb7Ny5k9WrV3PFFVcwcODAPM/ljB/KadnJER4enudXZI4aNWpw5ZVXsn//fo4ePZrv+ZCQEJ577rk8v5waN25M+/bt2bdvH6mpqcW+xoULF3LkyBH69u3LoEGD8j2fexbk/PnzSUxM5Oqrr86XnuSuu+4iJiaG5cuXF1jXhx56KM/4OqvV6h2Hs3nz5mLreSGbzcYzzzyT79dUccLDw/O0gAK0atWKQYMGkZyczJ9//mm6Lhcrp+v3ySefJDQ01Pu4w+HwdoH8+OOP+bbzxfm/mHNqltVqLfB8FXTtAzz11FN5Wjrq1KlD+/btSU5O5sEHH8zT7RYREUHfvn05d+4cJ06c8D6e894+8MADeSZeWK1WnnnmGVRVLfC9hezulEceeYQpU6YwbNgwPvjggzyD3WfOnElycjKPPPJIvmElTZo04eabb2b79u3s3bu3qLclj5SUFCZMmOD9++abb9ixYwetWrXiqquuyvP+nTp1CqDAGYj+cPz4cZYtW0atWrW455578jzXvn17Bg4cSGJiok8+Qxdz3gpTUCuRqqqMGDECgKVLl15Ejf8xf/587/n79NNPmT17Npqmcc011xAbG+stl5SUhMvlAkrvHPqKoii8+eabVK9enTfeeIOpU6cyceJEGjRowL///W+/HXfKlCksXbqUZs2aceONN+Z5Lud+V1gPTU7L14Xd32bt3buXcePGMWTIEMMzl83avHkzH330EaGhoTz22GN5nsupf0EtefDP67+Y1xkcHEzXrl3RNI3x48fnee7w4cPez15ycnKJj1FemIsgyG4yj42NZfr06Tz44IP8+OOPaJqWpxv4Qhs2bACyL9KCxl3ljBG6cPzRunXrmDx5Mhs3buTMmTPeG0aOEydO5Ju4UK9evQIvjpybTEpKSqEXT46cMYxGxkhs374dgK5du+Z7zmq10qlTJ44cOcL27dvz1TV3F1iOnKAzKSmp2GNfKCYmxlDX8YWaN29e4HvSuXNnZsyYwfbt2w13wfrK9u3bUVW1wO7YTp06YbFY2LFjR77nfHH+L+acmjFo0CDGjBnDwIEDufrqq+ncuTPt27cvNCiEgq+ZnAH1RT13/PhxbzdoUa+vQYMG1KhRg4SEBJKTk/MEoZmZmYwcOZKNGzfy1FNPce+99+bbPuezs3PnzgI/6zmTBfbt21fkeOTcYmJi8qRbSUlJYfv27bzxxhvcd999vPLKK9x6660A3rFSBY0r9Iec97JDhw4Fdr137dqVX375he3bt3P99df75Fhmz1tRzp07xxdffMHixYtJSEjIN5O0oDHSJZE7fZnH4+H48ePMmDGDCRMmMH/+fKZNm0ZoaGiesW6BKDo6mnfffZeRI0fy6quvEhQUxPvvv19sl3hJzZ07lzfeeIOqVavy4YcfFjv8ozAX83lxuVw8/fTTVK1a1fujvThff/11viCtX79++YZH5Thw4AAPPPAAbrebcePGme729tV19fzzz3Pbbbfx9ddfs3HjRtq1a0diYiJz586ldu3a7Nq1q9jhKYHAdGAI2a2Gr732GkuXLmX69Om0aNGC5s2bF1o+Z6zB8uXLWb58eaHlct+U/vzzTx555BGCgoLo1q0bdevWJSQkBFVVWb16NatXry5wkHxhN8ScVgWPx1Ps68u5YI2kdskpW1jKi5zHC/qlUtCvuJyWrpIM/C5p2o3CckLlPG6klc3XclIIFDSGyGq1esfjXciX578k59SMO++8k0qVKvHtt9/yzTffMGnSJBRFoVOnTjz99NO0atUq3zYFXTM5r62ggDfnudwppIy8vqNHj5KSkpLn/UxPT2f79u2EhYUVOGYJ/vms554QU5CSprKA7PegS5cujB8/niuuuIKxY8dy3XXXERwcnCcQLg2lda0YPVZB560wycnJ3HTTTSQkJNC6dWuuu+46IiMjsVqtJCcnM3nyZFMTkYyyWCzeMZAHDx5k1qxZTJkyhX/9619ERUVhs9lwuVycOHHiose9lYXWrVtTs2ZNEhIS6NKlC02bNvXLcebNm8cTTzxBdHQ0kydPLnDsXHEtgjn39uJ+LBfl008/Zfv27UyePDlP705RJk+enGeyGmT/ACwoMDx48CAjRowgKSmJcePGFZjbNOe+WNh3VXEtp0Y1btyYadOmMXHiRJYvX862bduIjo7m5ptvZuDAgdx8880lapwpb0oUGF533XWMHTuWl156iRMnTuTrhrxQzsl44YUXvF0Uxfnggw+w2WxMmzYt34Ddl156Kd/sK1/KqW/u7rfiyuZ0YV0o5/GLvSCNKOmvvsJyVOU8nvumkXOMggIsX3z55QgPD/d2K134K9jtdnPu3LmLupkVd2wonXN6/fXXc/3115OcnMyGDRv4888/mTZtGvfccw+//fabX24yOfU+ffp0gV+8hb2+6OhoXn/9dR544AFGjBjBF198kS94zdnm559/9tsXYo569eoRFRVFYmIiBw8epGnTpnTo0AHInoTi8XjyDcb3tdzvZUFy3ktfXKslPW+F+fHHH0lISGDUqFH5ZnJu2LDBOwHOn9q0acOsWbO8Q2esVitt27ZlzZo1rFixoswCw4u5z73++uskJCRQqVIlb77FopJ4l8Tvv//OU089RZUqVZg0aVK+nH45GjRoAFBoWp+cx3PKlcT27dvRdb3QCRfr168nLi6O8PBw1q5dCxhPuL5v3z5GjhxJYmIi77//fp5Jr7kV9zpzJsUW9j6ZUadOHd588818j+cM9SjoB32gKVGbZ0REBAMGDOD48eM4HI584wYvlJNhPueiMOLQoUM0btw4X1CoaRrr1q0zX2kTcrKXL1mypNiyOb9wCgpU3W63t65Ftagaoaqqodaukti+fXuBv7RyXlPuuuekEDh27Fi+8oWl5shpWjfTCtqsWTM0TSvwmlmzZg0ej+ei39Oijg3+P6e5RURE0Lt3b1577TUGDx5MYmKiqc+LGTmvr6BUHIcOHeL48ePUrl27wFan+Ph4Pv/8c9xuN3feead3mEiOnM+6vz+jkH0uctKc5FxbnTt3pmHDhhw/ftyboqQwmqblG55SkKKu35xrYN26dQUm9s95j43Owi7qc16S81bU/nK+LK+44op8z61Zs8ZQfS9WzpCZ3O9tzrCkL7/8stjE9/5o0YSS3ecgO2D7/vvv6dSpEzNmzCA6OpqXX37ZcL5FI2bNmsWTTz5JtWrVmDJlSpHBTs6wg4LGih4+fJiDBw8SExNT4pm6kJ026qabbsr3l5PNokqVKtx0002mh1Ls2rWL4cOHk5SUxIcfflhoUAjZ953g4GDWr1+f77tM0zRv6rWChmH4Ss4Yw4LmJQSaEneGP/bYY3z00Ud8/vnnxf4abtWqFR07duTPP//0Tlq50K5du/J0DcbExHDw4ME8rXa6rjNhwgRTA9dLok+fPt5xTbNnz873fO469evXj6ioKH799dd8+RUnTZrE4cOH6dat20UncY6KiuLs2bNkZmZe1H4KkpKSki8345YtW5g1axbh4eF5Mrm3bt0ayM4PlvuL8NixYwXmd8ypO2BqskbOIOp33303z5dDRkaGN01NcelISqq0zumSJUsKDCZyxtxeuFSVr+S8tx9//HGeHIAej4e33noLTdOKfG87duzIV199haIo3HXXXXkC6BtuuIGIiAgmTJhQ4AQqTdMKDGxKYsqUKbhcLqKiomjSpAmQHQi98sorWK1WXnvtNX7++ecCxxft3buXu+66y1CvQFHXb87SfEeOHPGmhsmxadMmZs+eTWRkZJFfahceq7Bu8JKct6LuGznpNS78AbR9+3Y+/fRTQ/W9GElJSd7gPfdSg9dccw09evTg4MGDPPjggwWOc3Q6nUydOpUxY8b4pW4luc8dPnyYF198kaioKMaOHUvNmjW9qzo9/vjj+YLYnFyTZlKbzJgxg6effpqaNWsyZcqUYgO6zp0706hRI9asWcP8+fO9j2ua5k1FNGTIkIsaY3j77bfz+uuv5/t78skngewJTq+//jr/93//Z3ifO3bsYMSIEaSlpTFx4sRi0z2FhoZy3XXXkZ6e7s07mmPKlCkcOXKEHj16XFQADNnX3YXnUdd1PvjgAzZs2MBll12Wb9nMs2fPsm/fvjyf2fKuRF3JkJ0d3cwXY86A3BdeeIFvvvmGNm3aEB4ezvHjx9m9eze7d+/m+++/93ad3XHHHbz88ssMHjzYuxTS+vXr2bdvH3369GHhwoUlrXqx7HY7H3zwAXfffTdPPvkk33//PW3atCErK4v9+/ezYsUK70Dw0NBQXn/9dR577DGGDRvGlVde6c15t2zZMqpWrcqrr7560XWKj4/35lbs2LEjdrudpk2b+mTx906dOvHTTz+xefNm2rdv781jqGkar776ap7Av02bNnTq1Ik1a9Zw880307VrV06fPs3ChQvp0aNHgb+w4+Pj+eKLL3jxxRcZMGAADoeDiIgIb1LoggwaNIj58+fz+++/M3DgQPr16+fNY5iQkMBVV13l8+6ZHKV1Tp944gmCgoLo0KEDMTEx6LrO2rVr2bJlCy1atPDb7L727dtzzz338Pnnn3PNNdcwYMAAQkJCWLp0Kbt376ZDhw7cfffdRe6jTZs2TJo0iTvvvJP77ruPjz76iO7du1OpUiXGjx/PQw89xC233EJ8fDyNGzdGVVWOHTvGhg0bSExMZMuWLYbrm5ycnGciS2pqKtu3b2f16tWoqsrLL7+cZ7hB586d+fDDD3n66ad5+umnmThxIl26dKFSpUqkpqaydetWNm3aREhIiKHgu2vXrqiqyrhx49izZ4+3Re7BBx8E4JVXXmHo0KG8/fbbLF++nJYtW3rzGKqqyhtvvGG4Kzk+Pp5ff/2V+++/nxYtWmCxWOjUqROdOnUq0Xkr6r5x3XXX8cUXX/DGG2+watUq6tWrx6FDh1i0aBH9+/fnt99+M1RnI+bNm+cdU+bxeDhx4gQLFiwgMTGRVq1aMWTIEG9ZVVX54IMPePrpp5k/fz79+vUjPj6ehg0bYrFYOHr0KCtWrODs2bN5VvnwJbP3OZfLxeOPP05KSgoTJ070Tnbr1asXd955J19++SVvvfUWL774onebnFZSo8MdVq5cyfPPP4+maXTp0qXAFvHw8HDuuOMO778tFgtvvvkmI0eO5NFHH2XAgAHUrFmTFStWsHXrVtq3b5+nfI633nqLc+fOAf+0/n/xxRf88ssvQPaPZ6M/dsxKSkrijjvuIDExkfj4eDZu3FjgohYjR47M0zr++OOPs2rVKr766it27NhB69at2bdvH/Pnz6dy5cq8/PLL+fbx448/el9fTgv6woULvT8YGzZsmCcH7MGDB7n99tvp1q0bMTExuFwu/vrrL/bu3UurVq1466238h1j6tSpTJgwocAhG+VViQNDs2rUqMG0adOYMmUKc+fOZdasWXg8HqpUqULjxo0ZNmxYnrQFQ4YMwW63M2nSJGbOnElQUBAdO3bkzTffZO7cuX4NDCG7lXPmzJl89tlnLFmyhA0bNhAaGkrdunXzndx+/frx7bff8umnn7Js2TJSU1OpUqUKQ4YMyZdCpKQeeOABkpOTWbhwIevXr8fj8TB48GCfBIa1a9fmlVdeYezYsfzvf//D6XTSvHlzHnrooQInGUycOJG3336b+fPn880331C/fn1Gjx5N9+7d+f333/OV79mzJ88++yw//PADX3/9NS6Xi5iYmCIDQ8hO5tupUyemTZvG999/D0CjRo246667GDp06EW/7qKUxjl98sknWbZsGdu2bWPx4sUEBQVRq1YtnnrqKYYOHVriGYZGjB49mubNmzNlyhRmzpyJ2+2mbt26PPbYY9x1113FJg6G7G7Ub775hjvvvJP777+fDz/8kMsuu4z4+Hh++eUXvvzyS5YtW8batWux2WxUq1aNrl27MmDAAFN1zUlXk8Nms1G5cmUGDhzIHXfc4W3dya1v3778+eeffPvttyxdupQ5c+aQmppKaGgoDRs25JFHHuHWW281NIazUaNGjBkzhi+//JJvv/3Wu4xeTmBYp04d74D0JUuWsHr1akJDQ+nZsyf3339/gfUrTM4yWytWrGDx4sVomsaoUaPo1KkTYP68FXXfqF69OlOnTmXs2LGsW7eOZcuW0bBhQ15++WXi4+N9GhjOnz8/T4tVznm49957GT58eL71fcPCwpg4cSLLli1jxowZbNiwgRUrVqDrOtWqVaNbt25cd911JV5dwwgz97l3332XLVu2MHz48HyTI5544gnWrl3LlClT6Nq1q7cHZvfu3QDFDsXKcfToUW8wWdhKTjExMfkCvTZt2vDTTz8xfvx4li1bRlpaGjExMTz00EPcd999BX7W58yZk29ySO6VsGJiYvwWGKakpHgnsa1YscKbyP5CgwcPzhMYVqpUie+//947033dunVERUVxww038OijjxaY/mjdunX5lvvbtWsXu3btArJ/ZOYODKtUqUKvXr3YsGEDCxcuxGq10rBhQ5577jluu+02Q/fNQKDogZ4fQAghhAgwo0aNYvPmzcybN++SCSjEpSHwE+4IIYQQASRn2IjR1nkhSpO0GAohhBBCCEBaDIUQQgghxHkSGAohhBBCCEACQyGEEEIIcZ4EhkIIIYQQApDAUAghhBBCnCeBoRBCCCGEACQwFEIIIYQQ50lgKIQQQgghAAkMhRBCCCHEeRIYCiGEEEIIQAJDIYQQQghxngSGQgghhBACkMBQCCGEEEKcJ4GhEEIIIYQAJDAUQgghhBDnSWAohBBCCCEACQyFEEIIIcR5EhgKIYQQQghAAkMhhBBCCHGeBIZCCCGEECVw/PhxXnvtNYYOHUq7du2Ii4tj1apVhrf/+++/efDBB+nQoQPt2rXj3nvvZe/evX6scfEkMBRCCCGEKIFDhw7x66+/4nA46Nq1q6ltz5w5w2233caRI0d46623GDduHElJSQwbNozjx4/7qcbFs5bZkYUQQgghAlinTp1YsWIFAPPmzWPBggWGt/3iiy9ITk5m2rRpVK9eHYC2bdty+eWX8/HHH/PKK6/4pc7FkRZDIYQQQogSUNWSh1Hz5s2jW7du3qAQoFKlSvTp04c///zTF9UrEQkMhRBCCCFKUWZmJn///TexsbH5nouLi+PMmTOcOXOmDGomXcnlRmJiIqmpqWVdDSGEEBVQWFgYUVFRZV0NU/z1vanrOoqi5Hs8IiKCiIgInxwjKSkJXdeJjIzM91zOeUhMTKRy5co+OZ4ZEhiWA4mJiVzRrxdJKVllXRUhhBAVUGRkJHPnzg2Y4DAxMZGeHbvgtPh+30FBQWRl5f8+HjVqFA8//LBPj1VQAFrWJDAsB1JTU0lKyWLq+OupUTW0yLK622lsp6rxT4uimBhRoJq5ZPw0UkH3+KWs7nGZ2mfX6z+mX4/GvPZU/0KLKkH5fw0WutuDGwyX5YSJLoZM4+9B1vSjxvdrQtpxYz96zp42fpNMSjd+Leq68f16tPJ3o75Y+/QsdpNJD8IIV/zwTWqQouiGy6omToPdqhVbZrOWQSY6AyLshvYZFmW8Aha78XudNcR4WUcH4/cPqhl7XQD6gfQ8/z6epTN8QxKpqakBEximpqbitEC/v8Hh9t1+060wr24WU6dOpUaNGnme81VrIWQH4oqikJiYmO+5nMfK6lxIYFiO1KgaSu0aRV94uttgq6KpwNDEF4UlwAJDzUxgaCzo1jxOrr93KsdPJjP8+tbUrhFWaFkl2PiNRE8NNlwWp8142QzjX3CZVv8ERSkGyxn4fveymfgy0I3HI3hM1CFQ/KGn0oQgTpBBEHaqYcNaBi0VZg5pJjAMMlC2ux7Ej54k7G6VSgbujxEmKmsxcauzmbjdhjpM7Djc+I71fMFp4F70DjeE+TAwzFGjRg1q167t+x2fFxwcTJ06ddi9e3e+53bv3k10dHSZdCODTD4RwrS+Q79k3rJ9LJ92L5f3aFTW1RGiWA5UstBxoLKOdP7HWfbpFWvoSrCi0kwJYovRXhch/Kxfv3789ddfnDp1yvtYYmIiCxcupH//wnui/E1aDMsVFcx065YFM00vmGjZM1UH479udc1g9zBQ3K/mj79ZxTNv/E5qupPNfzxMy6bViywPoKefNn74oycNF9WPphkvu9B4t3Pi/gzDZTW38WshM8tY64vTbfz6N9Pla6b1yUx3p5kuajP79fXxb1Aqef+/NQ5O6C7+IpWGuv2ixziZeV2muulV4/vVDBatqdjYkOmiraf41jX3SeP3mSwTn4Usl/GybSKNtrWDtZx/dVzK/vjjDwC2bNkCwJo1azh37hwhISH07t0bgOHDh7N69Wp27drl3e7uu+/ml19+4b777uOhhx7CarXy8ccfY7Vauf/++0v/hZwngaEQBThw+CzTf9/Gw3fEY7dbcbvdPP7KbK67ohm9u9Q3FBQKUV5Vw0oIKr+QRE89jGilYnwVRGPhjO4udNapECXx6KOP5vn3hx9+CEBMTEyRCa+rVKnC1KlTeeutt3j66afRdZ0OHTowZcoUatWq5dc6F6Vi3A2EMCm297t4PDp/rfubaZ/ezlUjJ2G3WfhuwhBTrU9ClEeKojBAj2AfWcwhmV56GDGK8ckLgSoNjTBUCQqFT+VuBSzMN998U+Dj9evX5+OPP/Z1lS6KBIZC5KJpGpmZbkIddlLTnGzYeoTGPcdy+Ggiq355MDvLvYmubCHKK0VRaEwwYbqFRaTQXQ+jziUeHCbobmqYmkAnRMUjnxBR4a3Z+DfPvPk7URHBLF19kDPn0lFVBV3XOXQkkboxURxe9SzVqhQ++1iIQFVDsXG5Hs48Uuijh1NDMTHjPcAk6h40Xee45qaqYsEiLYdC5COBoajQ7hn9E1/9sIaWcTVIOJZErerh7Fn8BJt3HGfN5iPUi4nipoGtyrqaQvhVVcVGLz2MRaTQSg+hhRJS1lXyi05qCLuUDJZ40knUPdhRCEYlRFHImY5iRyFUUamsQIzFSnVTuVuFCHxyxYsK6+Wxc/n6x7X8/MVIrunXPE9+xF5dG9Kra8MyrJ0QpStGsXONHskckonQLZdkt3KIotLFGkIXQtB1nUyy/zJ0DQ3QAaeuk4pGku5mszOdO0zkIhXiUiCBoaiQ0tOdvPHRAt57+ZrsoFAIQZhioZ5u5wxu6nDpBYa5KYpCCAohQKUCkvwH2zxMzEzCo+vS5SwqFMl8JCqkTTuOgg4P39mjrKsiRLmShIdwym7ZvPIiWdcIV1QJCkWFIy2GAcfgjFgTiXdNrVNlZr/+YibJdiEJw0+fzcBivSChuNH9mklCnmh87WH9nPGVKPSdqYbLnttnPGl1mvHdkuHyffDgMpHg2l9pg0zt1w9Jq83Q8H0y7prYOKpmEWuwK1k1kYjaX8wkzjb6Phz0eIhWLHgMlHfYjSfzjwgxvn5b8mHjGRDCTSRLsF64rnKWZFoQ/5DAUFRIp8+lYbNIq4io2Ny6zinc2FGIxoKiKDQkiE16OuloOMr7Skw+lqVrHNbdJOoedmmZXGsPLesqCVHqJDAUFdLZxAxstor1pSdEbgf0LNaQRigWMtCoipVeehjBikoLJZi/9DT6KeFlXc1Sc0BzssyTThXFSrSicrU9lKoyI1lUQHLViwqpSqVQUtOcJCdnEhERXNbVEaLU6LrOKtI4ios+hFNVseHRdX4liYM4aUAQTQhiG0llXVW/03Sdg7qLLZ5MMtDpZwmlppqdxzFYle5VUTFJk4mokEbe0pEq0Q5ueaDgZYqECDROXWOWnsRSPZWMIlbn2UAGp3BzDZFUPZ/M2qIodCGUNaTh1DWc6FhQyLoEV/lJ0T2s8qTzhzuV79xJbPZk0tISzC3WCG9QKERFJoGhqLC+nTCMuUt2k57uLOuqCHHR9uMkhOyJEmtJL7DMbj2Tg2TRjwjsF4wfrK7YqIWdDWQQrVipo9jYSqbf612aTutuZrhS0IE41c5V1nCut0XQSLWjyuxjIQAJDEUFMnvedq68/b98/8sGNE0jOioERYHgYBlRIQLfIZw0IZguODiCi9N63tmvp3QX60nnciIIKWRSSUccHCCL07qblgSzR89CM5MFoJzbrWfRyhJMV4uDBqqd6ALyFwpR0UlgKC55fx85R4er3ue6u77i4JFzDHvkfzgaP891d39NZHgwqiofA1E6EnUPZ3Q3Hj8EWw5UTuPGrqh0wMEK0nCfP85p3c0iUulGGJFFBEPBikp7HKzQ04jAQhgqCbh8XteyckJ3E6PID0EhiiKfEHFJ27XvJC37jqVRgypsnvcULWKro2kaX3y3mo8m/UWf+EZlXUVxifLoOplo7MdJIh6SdA+paAShkIZGfexUw4oVhZxOTLPhopZrg2gsrCOd+rqdxtg5joufSCQnzWBbHNQ1kJuwCUHsI5PdZBGrBLFbzzK0XXmXrmukolFZWgmFKJIEhpcqEy0SuomyCsYTuZaHBunbH/6WuMbV2DrviewHdA1VgXtv68y9t3X2PgaAavALQzPxHmzfa7iovuac4bJZ+woeQ1YQzWV8AkFyhvFbgmIiubPRBMQuj/FxXpqfejjNJLgu6j3YoKezg0zqYqemYqW+YqM2NlRFIV3X2EMWJ3RXgZ+ool6aUug/oK5ux6VkL+HWSw8l9XxC/DDU85e3sWuhBw5+11K4UYlkLelkKp5Ccxqaeb+sFuMnzWIicbbFwK1mn+akvmolyApGQnCrieObSbBtpmzWMeOfXWdKmuGy1WsF5X3ALeMrxT8kMBSXrB17TrB+yxHmTL2nrKsiKiAPOh0UBy2U/OmQHIpKG0LyBXY5jK7OkU+uzRRFuWBpO+OBTrRiJUJROa24qYSFJDw4ysEPvZLSdZ19WhbN1KDiCwtRwQXuJ12IYtSpGUmjepUZdMdXfP/LprKujqhgAn3KRhWsJOka0VhI0AN3nKGu6yzT0vEA9S6BLnEh/E0CQ3HJCgsLZs/Sp7lrSCdue/hbfvp1c1lXSVQgOoU2CAYMHWimBLNfd5oaclJeZOka8zxpnNM9XGUJxyopaYQolnQli0vexNcHs+fAaZ554zeu7d8cu10ue+F/gR4YZtddJxIVHZ1ENCpRvidu7NOc/K07saLgRue47qauYqOPKkGhEEZJi6GoEO4d2pnDR5P48vu1JCZllHV1RAURyKGIwvngVlFoogSxXS/fya43ezJZq6VTU7ERrViIUWz0tYTR3RIqQaEQJkhgKC5pTqebTteMZ8hD3+L2aNSsHsZXP64lPUNWOxGiKBqgng9tmyrB7NezyrZChdB1nfWeDLbrmQy0hNNUDaKFGkysGkR1yVkohGkSGIpL2jNv/Ma6zUcAUFWFLKeHFrHV+d8vmzhxKqWMaycuZYHelewBb8exC52gcvR14dF1jusujusuFmlp7NedDLJEECY5CoW4aPJzqjxRrdl/pU03nitLN/HlYKr3xmgOQTCVR7BTu/qo6nJURaVOrShuvqY9ug6rN/7NlBmbqFMrisviG1O9arjhCut71huv6sozhsu6DxvvqtNcxicCpJzzTz42M+c3y2XsunGbyGNohpn0L5qJ+cSWAIr8jOT6y6EoOrquYVUsJCkujuouTuIkEReVL7hHmTlnZuoQZMt/X3LqOlu0TLZ7nIQoCipQy2qjvzUMmwJG8jQazb+pmsjTWUiKxwKZ+YyZme9zJsn4PbT62QtmmTsDb2KR8B8JDMUlR9M0fp6zlYmTl7Ni7SF0HRrUi2blL496l7+L71Cfjq3rsHbzYSb/tIbL4hvTsW1dFBmLJHxED/CENdGKlaVaGpGKhepY6ag6+ENLpb8SRrVS7qLVdJ1tWhbrPZnUUW0MtIYRnevHpJkk20KIoklgKAJecnImvy7Yztwlu1i36TA79p1E16FFbHVefuIKHhrZA4cjf/4ym81CfIf6xDWsyg+zN3HoyDmuvaKlzFoWPqEDTnRSdQ9higWPrqMAaoD8+GilBNHUEoQ9V33rak7melLopYZSVy2dnIBOXec3dyoKMMganicgFEL4nnwDioA1cdIynn3jV1LSsgiyW6lVPYIWcTX4v8f6c9PANt7WweJEVwrl7iFd+H3RTj6buoLrB7Sidq0o/1ZeXPIsKGzQM9hMJhYdMskODEN1lWBUqmDhKC5qYqO9EkKQmf7IUqAoCheGfnVUO1coKn96UumITpyfVxLRdZ1F7jQqKSq9LA5p0ReiFEhgKALGx5OWsXzNAapVdvDL3G0cPHyWB0Z04z+jryIq0nFR+7bZLFx7RUu27DjK979soFH9KlzeownhYfmXMxPCiE6Kgy44UIB0NByo6EAaGufwcA4P3Qllr+7kdz2FQURgCYDAp5piZaAlnD88KaSj0VIPMR2wabrO37hI0T3UV+yEFzBpRNd1lnkySEOnryVUgkIhSokEhiIgPPnKTN77bBFNGlQhNS2LerUrsWTaKGrViPTpcVo1q0Vsw2osXrmXiZOW07pZLbp3akBEuASIwpzcXbC51yyOxEIkFuqf/3c1rMzRU9hFFs0JjOssSrEwyBLBHC2FFF2nKw5DXeS6rrNXd7JOzyAMlUqKhZlaMs2UIDqq//y4c+o6yz3ppOgaV1slD6EQpUkCQ1Fu7dl/imm/bmTcZ4tITM7gv2Nv5e6h8aZmJZdEUJCVK3o3pVvHBvy19gATJy2jTq1KtG5Wk7hG1bD59eiiolEUhfY4WKCnUA87oeWsS7kwoYrKQDWcuVoai/RUehFWZACXpmv8paeRgUZf9Z8JLG31EH7Vkqmp24hRbJzU3SzUUqlnURloDcMmQaEQpUoCQ1HubN15lK7XvEdaupPI8GD6dG/CN+OHEVbK3bphoUFc0bspl8U3Zufek2zecYxf528nKvMkqRkuIkPt3HVVQ1SZEikuUjXFShXdynFcNMK/4/Z8KUhR6a+Es1RPY46eQi9C83ULu3WdgzhZo6fTQg2mtRKcp8s8VFFpogRxQHdSHSuLtFQ6KiG0sMrXkxBlQT55oty54e4vaVivMuvnPIW1HHw52O1WWjevRevmtUhLz+Lc+hWEhViZsSyBLQcSadOoUllXUQQYt64X2LqmBmBKbKuicBmhbCGTX/RkGunZU1bS0EjEQyoa1bHSRwkjRi24vf2Q7qSjGsImPYNKWGikBpGdYlsIUdrK/ltX/MNiB4uPWgvMdL+Y6LpSzKwsYDFxeeXab2RECJWjQ7HaC2khtPgnTYaeeqzYMg4VQg6dBqA7Lmb/vBNH82gaVQ4ueHB8hvEvN1urcMNls5adM17Wbfz8mklWbOYSc5mogz9oZlIKmkiGbSZZsYbOLjLZSSZpaDQnmA78M9M2WdexYsGtqIaTMFtUE0mYTSRsNtMIrijZ3eFtCKGBbueA7sSCQnXFShQWIrB4g+CC6qDrOol4OIubnXomgy2R5xNsmzgPJs5vepaxe1iQ1VV8ofMsJt5bu9X4ggJmPmOhJq6FfCc4MEYviFIigaEod2IbVWPtpr/LuhrFalwlhCubVmLenkRmbddoHxNG70a+nQwjApsHnQNksY1M0vBQCxu9CCMMCwtJ4WeSiNQtNMSOBpzGTc0AHsUaoVhoo4SY2kZRFNqowSTrGpdZwgJmjKUQlyoJDEW507ZlbX79c2tZV8OQptUcxFUN4VSai89XnaBb/XBsZtb9EpcMDzo7zgeAmeik4iEJjWgsdCGUSlgIyRX0XKlHcBo3h3GyhyxqYKVevsyBFUN71VwwKYTwHwkMRblzdd+WPPPqTDRNM5yk2hc0DbYdghb1wMxhFUWhWpidyqE2jqe4qBMVOJMHhO+korGVDNoQQhVUwlCJwkLQ+X66fL13ikI1bMg8dyFEeSJNG6LcadG0JqqqsGTl3lI97p4jsHCDwp4jJds+JsLOkSSnz+pzLtONx9TgOFGWPOg4UGlGCI0Iojo2b1AohBCBQu5aolyqWjmMX/7YUmrH0zSNlduzJyms2pHdemhW7Sg7u09n4PKUYONckrM8fLvjDP/dfIr31h1n0eFk0l0yQ7O886DLDVUIEfCkK1mUS44QO8kpGaV2vD2HnCSlQ2QoJKZltx7G1TG3j5bVQ9l1MoN3Fx+lbqUgoh1WHMedODWdNtEhVAk29nGbtT+RqiFWbomLJjHTzYpjaUzYcJKWVUK4rE44DpuJmeGi1Ghkr48shBCBTH7ginIpKTWTOjGlkx9Q0zRWbErHblVQFLBZlRK1GlotCre2rcojPWrSpmYokcEWsjw6mg5f7T7DzwcTOZTiRNP/6R5Oc3nydRcnZ3loXdWBVVWo4rAxqFEUD7SthqLAfzefItUprYflkQddAkMhRMCTFkNRLqVnOKlfu3KpHGvPISdJqR5ylkMOtuVtNXS54Oe/4LpuYDMwT8Bht9CiRva6r3pmdutez+qhrDmdzu8JySQ5PdRy2FAV2JucRYhFJTYyiLAoOxlujeQsD9HBeVsFw+0WrmoQRbAlmR92nWWwZsEmK66UKx5A2nKFEIFOAsPyJDtTbNFlClk5IP+uTHxFqSbKmtqvidmWF9TB6fTQqFHNghN+qyYuW0vRy+hpmsaKrcnY7RYU3KCDAtgssGq7TpMaLmb/pbL9bxs7/3bz5GAPwanGW+yU7tnBbQjQ6/xfWpaHo4lZpGd5GFzdgdujs/dkOhknMwlT4LJ2lbEX0u18WZXKnNt2lh/3nOWm6DBDwaHup/krZpJhG51Dc3GjM0tf7vpmoUP2VVQgq4nzYAmgmN9u4oWZSbJttfinbGiQsc+vmeThZo5vDzZ+cq3Bxjv1giJN3BdtF9RB5riJXCQwFOXOqnX78Xg0msfV8vux9hxM48w5JzarQmJarvVbg3VOJyvsPKyy5e/sj4mGla/m6zxwkccMDbLQpLojz2Md6keAo/gcdoqicH3zaL5bcY5vTifTP9JBnSBJd1IeSIuhEOJSIIGhKHeGP/gF8R0bEV0pzO/Higi14nJpuC5Y/SotMztIXL8n7+Onk61kkN0CWFZUVWFQpVB2ZDj5+VwadkWhitVCVZuFDqFBOCTBdpnQZIyhEOISIIGhKFd+/n0Dew+cZN70J0rleDWrh/Dsg3EA6Cc35nnO5YI3f7TDBV/2X9OVB1hZKvUrjKIoNHcEERdi56zbw2m3xqEsF1+cTKZ/lIOmIRVzBY2yJOlqhBCXAgkMRbmxccvf3Hz3Jwy/uSt1Y0pn4klRZq8q6Gte4TQRZd5qmMOiKFS1Walqg2YhdlqGuPktMY0t6Vm0Dw2iQZCNNF1jhSsDi6LQzGKnhpkxmsIUVVoMhRABTn7ginJhxZq9dLnyDS7rFsekj+4u6+rgcnF+bGHBX/Rf07V0K2TAEaebIBXuqBJO42Aby1MyGXvsHJMykwhRVCopKr8509jqzkL314wUIYQQAU2aDkSZu+Phr5j840oG9m/NrKmPlHV1APh1dRG/mRSF03r5aTUESPFoTD6VjFVRCFMVoqwW0jUNp6bTwRpEZ2swiqJQX7XxhyuNY5qbLtZgIszMSBdFsqCQGXDzqoUQIi8JDEWZ+vfbs/jmp1X8+t2jXHV5q7KujteJRCistTDHFLpwL6tKozrFClMVuoUHszEti0bBNhoH24myqoSqKqcy/glWolQLN9rDWevO5EdnanZqHqCPzUFti8xuvhh1sLOBdI7hpCYyxlMIEZgkMAwwitHxYWZyCBaXOzFPWTM5BIsu++fCbbw67lc+fmcYV/VvZ3y/pvIjmqjv2dPe/42rEsqJpKiCyymAolCFVAgupsXNbaLL9kSW4aIZZ1z5HuuMjQaqyi9n06kWolDTbkNDI8uV/z1oTyjtVAcZ6BzUXPyVlcW1VrvhfIMAHs34dVNYbr8LlYf2NjM3xdztyg5U+hDOYlLoSVipBIdmPrpm8qGrJnL4mcn3Z2bCvJmch6qJRHxG66uaOH5wmPEXZgkykZswwniLvj3cxJXr0Yv+t6jQJDAUZeLosXMMun08QwZ35l93XFbW1QHA44G/DobRrX4qzapnsfqAm0zNSpMqaQztmOgtpy/aUXaVLEZVq4XOwUFsdzqJsxcdQCuKggOFpqqdnVoWs9yptNIdVMeKYibiEF7VsdH7fHDYBgexBKHIhBQhRACRySeiTNz7+GQqR4cx5ZN7yroqXusSHCzbF8Haww4W7g4nU8v+3bTntAOns4wrZ0Kc3cYxt4fTHmMrPKiKwvXWcJqodpZqaSzW0/DI5JQSq46NK4hgL5ksIAVnuWgHFUIIYyQwFGWiUf0qZDndqGrpX4KaprFlZyKa9s8XtsfjYcWBcHRg2f5w9pzOu5TetM1RpVvJi2BXFOKDg/glNZ1UzVhQoioKzSxBDFYjcaKzSE+V4PAiRGHlKiIJRWUOyRzDhS7rjgkhAoAEhqJM/Pvp60hMSmfC5/NL/dhbd55hxu8JbN15xvvY/CUHSMq04NE00pwW9Dzdf0rAtRq2Cw6iud3G9ylpJOnG13a2Kgp9lTB0YIEEhxdFRaELoTQlmLWk8RtJ0noohCj3JDAUZSI6Oox+vZvzzCs/kZiYXmrH1TSN2fNPoOswe/5JNE3Lbi3ckAko5wPCnL+8AqnVEKBrSDAdguz87Eoh2WRw2Od8cLhOz/BfBSsABYUmBHMNkYRjYSeZZV0lIYQokgSGokx8+Nk85izYSnqGk0qNHyaqwQOlctytO89410V2uXS27jzD/CUHcpUo7CMReK2GAG2Dg4hQVJJ1cy1VFkWhlxLKbj2LVBNBpSiYgkIjgjhK/tnkQghRnsisZFEmXnrrZ+4Y2p1mTWryvxmraRZXy+/HzGktzG32vBO4jOZSAWZsjuIWH9fLn9y6zmndQ3UzaYbOC1ZUGip29uhO2inlJZV34ApGlQTYQohyTwJDUerWrN9PUnI6H711Ow5HEE8/chUo/l+BI3drYQ4zQSEoHE22BlQ7u1PXsaBgK2H6mUaKneVaOu3KzRovgetvnNSSxNdC+FTBA38ubn8VnQSG5YklGKyOosu4DY5RUsxELybKmlpCreD9vvfJPOrVqYLDkSvYMFNfzUR3XFZi9iaaxuz5Z4oua0Bj9RSEmHgP0ozXVT9kfDxfarLBfeoKLg1SXdmzlYujXZC0urJuI1PXOenxUOWCVkczCa6N8ld7mplPg5k6mNlvBOr5MYY6ahnkiTRzSDNJq60WE4mozeTSN1HWTB2MlrUHmTh+iJmk1ca/du3hxu81luKS7ecpfMGbKytjilwkMBSl6uSpZGbP3cQdQ3qU6nG37U3N11pYNJ37bcuoWrWApwJoPoaiKIQrKil4qFyCj7uqKNTHzhFcVJHbxUVpTBBbyOAMbqoiyw8K4Qsqvu3ECaAOIb+R90CUirUbD3Dd7R9Qu/UTVK0czmvPDy7V4y/bZH7Q/yeurn6oSelw6zqntOxJIxGYn3ySWww29uhZuCV1zUVRlOwZyrswvvShEEKUNgkMhV89958fqdTwITr3f5Ude47y5v/dyL51bxMRUUyXuY/VqWa2tUsBNAzmhy53dnpcfJeRwu9Z6ZzRPaRfRCdtHcVONcXKIj2VFJmhfFGyZyY72ayno0ugLcRFU8nuCffVnwRF0pUs/Oj3eZt5a/xvPPXQlTz/2CCioko3GMztmt6RXNM7/+O7DmUxe3EKNqtCWvI/uWhCLU5cuoW9WZWIDTlXijX1jUMeF73sIShAmGqlsWJiwFQBuhHKeiWdX/QkQnSVmoqNpoQQJoOTTHEoKgP1SOaTggMLjbm48yKEEL4mgaHwm3sf/5qr+7Xm7X/fWtZVKVSEQ8Xl0nG58rbepHmyZ4+GWwIscSGg6ToJHg+9bSGEqSqn1Ysfz2ZVFDoTSkccnMXDAbKYSzL9iSBcgkNTQhULVXWrrIIihA/IGEPfk8BQ+I3dZsFmK99BQ82qNp69O3uGifbLtDKujW+c1DyEKQphfliHWlUUqmClClaCyGQ2SbQgmNaUXWtwIIrEQgIumunBKGUwQ1mIS4UEhr4n74HwmycevJLf5m1BK0cD9dxuN78tTcbtNpXAMKAkaG5qW/z/m68ZIVxPFHvJYj3pnMDFGS7d99WX4ggmETcp0moohChnJDAUfvPgXX1A1/nkq4VlXRV0XefQ0XQ+mHqONduymL86tayr5DeHPW7qqKXTGRCCyhVEkInGOtJZRAp/kCQrfBRDB1yAXdLpCnFRVD/8VXTSlVyeWIPBWswKEz4YL3ZRTKxQolos9LusJR99uZAH772iuNImKmE86NAzsyeOnDjr4etf/hlHuHqzi76tT2G15voIJBscT6iZmE2aYDAhOZB62HjZDFfB75db1zns0uir2slwZQcdum48+DDz0nLOggMLXQk7/5jOWtJZTCr9CEc5H/gYPWOX8pzn3O9tChp2FOyoBb7nquGA0fgJ89ckaDNJqy2K8Ur4q4fdaPJuq4mE0TaH8bIhtUxMOIr20/0+7cJPmvyQE/+Q4Fj41TVXtOXg4VNlWgdd11m0Ie+XgQYsWF829fGn47qbyqrF0Con/qCi0BEHaXg4Id3KhcpAwyG3XyEumqSr8T15D4RfNaxfFaezbAOEk+c0dh3O//jq7VxyYw0TNDcxpdSNXBgVhWaEsJY0MqQlokAZaITI7VeIiyZdyb4n74Hwq7UbDxAeVkz3uB8V1FqYI3erYWamm09SO5NpvDe3XErQ3NQu48AQIJYgqmFjPellXZVy6SxuoiTNjxCiHJLAUPjV1h0JVK8aUWbHL6y1MEdOq+HUeXCKcL51tyu9yvnYOc1DouahulL2gaGCQnOCSSDw8kCWhlO4qSpDvIW4aNJi6HvyHgi/2rP/JPXrVimTYxfVWphDA+asgiOns/99hEoB2WqYomvMdqXS3RaCtZzkxctEI0hm3eajoXMWD1UkMBRClEMSGAq/OpeYSmRE2XQlnzzjLLK1MMfm/Xn/HWithk5d5zdnKi0tQTSzlJ8l1k7gphplPIu+HErCQwgKQXL7FeKiSYuh78l7IPzq2ivbMXfhtjI59rGTxroxXXkyNygB1Wqo6Tp/utKorlppW46CQoA62DmMU7qTL3AWD9HSWiiET5T1rOS0tDRee+01evToQevWrbnhhhuYP3++oW3nzJnDkCFD6NSpE506deLWW2/lt99+M1kD35PAUPjVy08PJjEpjeWrdpf6satXsRdbxlLIJyBQWg2XuzPwAD2tIeVuabUILPQhnFWksZBkdpDBRtI5V8HT2JzDTSWZeCLEJWHUqFHMmjWLRx99lE8//ZTGjRszatQoFi9eXOR2M2bM4JFHHqFatWqMHTuWsWPHUr16dR5//HF++umnUqp9weRna6BR/BDLm0hajWqirCWYqMrBtGhah1fe/pm5M18sYr8muhx1YylQasaE89LwI4U+n5kJb/8I5IyD8w5HVDiiVyIz2U1wQRsmugxX1b07zXBZZ4rx9M6qAlvcWRzV3dxgD8NWRFComEgqjI/HBFbDxvVEsZ1MkvFgRWEeyVxDVIFdqYGW3KYk9T2Dh1iCiwyPrQZPWaAlrbZa/JPg2sx+LTZjO1asxitgDTZxX44w/rWrNA0zvl8zJ+1Y3i4RJc0DmwKzZb8s10pevHgxf/31FxMmTKB///4AdO3alcOHDzNmzBh69+5d6LbTp08nJiaG999/H/X8uvY9e/akX79+/Pzzz9x0000X8zIuirQYCr9r2bwOR46dK+tq5PNtMSv1fUfH0qlICRzyuFjrzuRqWyhB/vix4EMWFOIIoRNhtCOUatg4XIG7l8/iJlpaDIUIeH/++Sfh4eFcfvnl3scURWHw4MHs37+fvXv3Frqt1WrF4XB4g0IAVVVxOBzY7cX3dvlT+f5GEZcEu82Ky1X+FjsLd0ChLWSKQjjlc6DhSbeH+a50rrSHEmmmBbeciMHOUYy3ul5KMtHQQFY9EcJHynLyyZ49e2jcuHGe4A4gLi4OgN27Cx9Cdfvtt7Nv3z4+/vhjzp49y9mzZ/n44485cOAAI0eONFEL35OuZOF3KamZhISUv9mpV3aCtNyx34m8rZoD2FO6FTIg1aMxPTmVnrYQapaDRNYlUQsba0nDg46lgqWzOXc+sbVSwV63EIHm+PHj+R6LiIggIuKfvLyJiYnUr18/X7nIyEjv84Xp168fH3/8MaNHj+b9998HwOFw8MEHH9CrV6+LqvvFCsxvFhFQzpxNoVJkaIm3X7thL0ePneXaqzv7sFbZLYZ3DPhnbJI+abVP9+9rLl1nekoabYKDaOQs266GixGMSjgqZypgOptzeGTiiRA+pODbrs+cn2y33357vudGjRrFww8/nLd8keO7C39u+fLlPPnkkwwcOJABAwbg8XiYNWsWTzzxBOPHj+eyyy4rSfV9QgJD4Tdut5vh901g6YqdvPHS0BLtw+l00qnXaBRFQUue7uMaBg5N1/k1JZ3KFpWuIUGcSi7rGl0cGwqZATfV5OKdq4DBsBD+5K/JJ1OnTqVGjRp5nsvdWggQFRVVYKtgUlIS8E/L4YV0XeeZZ56ha9euvPrqq97He/XqxfHjx/nPf/4jgaG49Px7zHTGfPArdpuFX/73NNdc2aFE+/nwk+ycTtWrFvwBqwiSPRqzU9KwKwrXhIeWu7Q0ZqXgIQkPMfi+1VNHZxeZ7CGTMCzUw04dgsrNCizn8BBX8Fx3IUQ5UqNGDWrXrl1kmcaNGzN37lw0TcszzjBnbGFsbGyB250+fZpTp07RsmXLfM+1bNmS1atXk5WVRVBQ2eSmlRHQwi/e+uBXBg5oR+Lhr0scFAJYrdndbpq/8nKUc3uynExOTKGh3caNEaHlZrm7i3EGN5Wx+nx8oY7OJtLZTxY9CKcRQRzGyS+cYwNpaBR8DSXjYSvpLCCZHzjDnyRx0g+TYzzoJOMhSn6PC+EzvkxunfNnVP/+/UlOTmbBggV5Hp85cyYNGjSgcePGBW4XGRlJUFAQmzdvzvfcpk2biIqKKrOgEKTFsJwxcFkaDgxMxPxmgg2D+QZ7xMfx58ItHDh0mkYNa5a4DpUrZzfdp6Zl/lPGTIx4Jv8A4sLoZw0GA2eMp1rJSjKRzDnXKXPrOotSM9jndDE4KpQYW96Pqs1E3jYz6c3MlDWR5g13rupWwcpa0thPJvUIwpYrQDTTuZy7rAed9aSRiJveRBCESjhWahFEBhprSGUuyTQjxNtSqaGTgJN1pFGPIBoSTBfCOIWLpaRSDSttCS1yBrGZL5FEPDhQUVGKfZ1G3wddN34SzCQGUE1cCFaL8bKqic+u3WL8alBN5FJUVGP3RovN+D1UNZgbETD3wQk1PuxACTdeVr+wDsluIMXw9iJb79696dKlCy+88AKJiYnUrl2bmTNnsm7dOiZOnOgtN3z4cFavXs2uXbsAsNvtDBkyhEmTJvHCCy8wYMAANE3zbvvYY4+V0SvKJoGh8Itff3iGble8TPNOjzHqX1fx5MPXUqtmtOHt12/cx4ZNB7zbZGVVnPQmp90eZiWnUdlqYWSlcIINfpEFiggsdCeMPWSynnTqY6cjoai5AsQ0PBzBSTRWKmMtdBbvYbLYSDpONGpi5zIisF0QyIWg0pNwEnCynjS2kg5kd2mHYqE3EXmWqKtPEDHY2U4Gv5NIe0JpwMX/ek/EQyW55QrhU2WZ4FpRFCZOnMi4ceN47733SE5OpnHjxkyYMIG+ffsWue0zzzxDw4YN+eGHH5gzZw6qqlK/fn3efvttrr322ot7ERdJ7lLCL+x2K2uXvMMjo79g0rcLGTdhFrVqVuKvuW9Qr161Irfduu0QHXo8icWisnLh2yiKgqIovP3edJ5+/IZSegWlT9d1tmQ6WZyWSa/QYFoH2wN+PGFhYrATg51MNJaRygJSqIyVNDRS0TiLm1rY2Xt+ikpt7NQ6Xz4JD2l4OI0bBYgnjAgs2FAKDSAtKNQjiFrYSCa76SwMS4Grr0D25Jg2OKiPnQUkk4yHmtguauJITqoaIYTv+GtWslFhYWG89NJLvPTSS4WW+eabb/I9ZrFYGDJkCEOGDDF5RP+7tJoiRLkz/p27OX1wEoe2fUKVyhE06/woe/YeK3Kb2+4cB0CLZnXZtecIVqvK048P5sVXvyU1Nb00ql3qMjWNWSnprMvIYmhUGG1Cgi7ZoDC3YFQuI5yGBGElO1hrTDBXEkUXwriKKLoRjgWFjaTxN1kAVMVGPOEMIIoq2LCjGsoNaEOlMjYqYys0KMwtEit9iEBDZxWpLCSZBJx4TI1nyHZOWgyFEAFAAkNRKurWqcqGZWNp2bwurbs9zo5dhwss99sfa9m6428a1q9OndpVeO/Dn+ncIZb/vHgbwSF23hg7rZRr7n8JWS6+OJFMqKIwvFI4VawVq1XJikJDgmiFg7jzYwBDzt+aFBSisdIKB1cQRQ8iaIWDRgRTCWue7md/icJKO0K5mijqnu9inkMSx3EVOqGlIOdwSw5DIXysLFc+uVTJeyBKjaqqrJz/Jh3aNqJd96fYvPVgnuc//WIOg255nZG398Fut7Jg0WbWb9rPi8/ejKqqxDauxdr1ha89GUg0XedApotZZ1KZfiaVK6IcXB7uuCRmHV+qLCg0Ipj+RNCUYDaQxhyScBmYKiJL4QkhAoXcpUSpUlWVZXNfp3vXpnTs/TQffzEHgHfen8EDj33CS8/eylefPMKfs17h9iG92bjifQb0aw/Anr1HadK4VllW/6KddLpZkJjOxGOJLExKp7rdyt3VI2kSErgrmVQ0CgoNCeZKIqmKjVkksol0zlD4DPSc1kJZCk8I3yrLdDWXKhnwIsrE/Nmv8MjoL3j4qc/5v1e/JSvLxbBbe3HydBIhVW4mM9NFUJCN6EphtGxel/9+9SdpaZm8+8adZV1101I8GtvTs9ia5iRD02jhCOLWquFUtcnHL5ApKHQklEYEsZ8sFpNMu0JmMJ+T/IVC+EVZTz65FMmdSpSZ8e/czasv3Mpz/57KX6t3sXbDXvYfPMl/XryNm67rxoef/srb783AbrPy36//5Mbr4wkOtoNmIiFbGXF6NHYkZ7H2VDLHnB7iQmxcHuWgXpC1QkwqqUgqYaUDVkJROYKzwMAwETc1ZCk8IUQAkMCwPFFsoBTXpeiH3n/FzGVgIqjRiw/goiJD+Pi9e3ju31MZ++EsTuz5nLCwYCZ/t5iPP/+dls3qcHmv5rz+zk9MHHs3eJyQftJ4FbbuM17fhExDxTRnwWPKPLrO/nQXW1My2ZPmpHawjRaqneuibNgUBTRwZ+gUlqFbcxqfyGC3Gk/+azNR1qMZP79BNhPpqLOMddBkmZjs66+Vls3sN+dVudDYQSbxhBVY7hwemhFieL9G06KrHhPJpU2cWzOJzs3wWP2zgpGZzwNZxspaMoz/AHWmGL8vW48Yu88AKBHGk07rDUINl82Tcb6gfweQssxjeKmSwFCUC7P/WM81AzoQHR1GjSb3cvZcKgOvaM+0KU9y47B3adywOtHRBX/pliVN1zmU4WJbShY7U51UtltoER7EFVXCCLWqpBzJKusqilKwkXRqYiuwVdCDTgoeImX0khAiAEhgKMqFhKNnue3mHuzac4QTJ5M4d+hLoqKyA8GFS7fx8L+uLOMa/kPXdRIy3WxLyWJ7ahbhVpUWYUHcUzeKKJt8+Vc0J3FxGCcDiSrw+WQ8hKJildFLQvictBj6ngSGolxITkmnft2qvDluJjVrVPIGhTt2HSEpOZ0nR11TxjUEt6az9Ew6G8+mY1cUWoQHMbJ2JJXt8jGqqDzorCaNjoQWmjBbElsLIQKJ3K1EudCwfnVuu2c8AG++fJv38bc/+JmYWtHeQLGsZHg0/peQhMOiMqRWJNXsFplEIthGBuGo1KHwscGJshSeEH7j6xQz8kmVwFCUE3s2jC/w8dl/rOOWG7qVcm3y0nSdH48kUz3IylXVw9BdgTtQW/hOIm52k8nVRBaZnzARD3EEl2LNhKg4JF2N70l3uii3XntnGolJabzy7M1lWo+5J1OxKHBl9TBpJRQAaOisIY02OHAU08ZwTloMhRABRFoMRbn008wVvPT6D4x7fQRVqkSUWT02JWWyN9XJ3fUroUpQKM7bSyYq0LiAnIW5ZchSeEL4lUw+8T0JDEW54na7uXbI2/wxbxMP/+tKHntoYJnV5Vimi7knUxlZN4oQi9wuRLY0PGwlg37FdCHDP+MLZSk8IUSgkMCwPFFCQS1mkoXRVivFRCBjpiVMNXHJeIzn8NM8Hj6fvIiX35pGamomC35+nst6NMtOaH0B/dQe43XYbTxBbGquxLOpHo1vTiXTJ9KB47Sb1FwphxUT2X/dJpLkutKNl9V143WwWoyPiQy2G69DeLDxsqEGy6Yk+mfNaDNJq4v65OjorCWNOIKJMNA9nHtGsstEHYzW18zrspsYGmsxkTjbXBuL8RrruvH9uk0k77aqBt+IFBOfRzP5tZOMpi8H27H897/CBFdKNr7fsLz3cd1Ecv3yRloMfU8CQ1GmMjOdDL1nArN+X4/FotKrWzN+/OphoqJMZPH3EZemsy3DSd0gKytTMokLsdMsxD+BighMh3CSjkZTg6uYnJOl8ITwKwkMfU8CQ1FmPvt6AY89Nxmr1cKN13Zm0sR/Za+FXEa2ZThZkpwOQINgG0kBvEyU8L0sNDaSRk/CsRjsGk7EYziIFEKI8kCCY1HqUlMzadZlNA88+SV3D7uMxEP/pWd8HGfOppZpvQ5luegZEUILRxC7Mlyka/5ajVcEog2kUZcgKhtsAZSl8ITwP0XJXtvbV38yx1BaDEUpO3s2laadn8JqtXBo8wfUjqkMQIumtdm87TAxtaLLpF4eTWd/lou+kQ6CFYXGwTZiZEUTcd4xnJzEzVWFLHtXkGQ8hGGRpfCEEAFFWgxFqTl67ByN2j9OaGgw+ze+5w0KAWrViOJQwml0vWy6bxNSnFSyWAi3qNhUhXpBNqzy01EArvMTTjoRis1EkHcOj+QvFMLPFEX3+V9FJ4GhKBXvTviV+q0fJaZmNHvWjc03ljC2cU1On0nB7TY+E9CXMtwaYRYJBEV+W0mnClZqFrHsXUFkKTwh/M+X3cg5fxWd9JUJv8rMdNK25/PsPXCC5x67lv/8X8GrmOi6jqIoaFrZ/FrbeSaTWtJ1LC5wBheHyDLVhZxDlsITQgQi+SYU5nIemhkvpagMvecjjp1I5O+tH1KrZuHjB53piaA5sZIF7mIyvu3abbgKqQvPGip3+lQyzXUrTopvsdRNBK/OVOMtoOlZxluXXCbyzJnJzR1iM17fyGrGd3z2uO8DfjNtyyWdRrSQFKpiQ0Ehd/Y5HR0dUIv4PJzBTQQWbz2NZ68zl/PQKDOfcquJvIBmut4sJvbrNJGr02PiMxlkM3g1OI1/Hp0mMhioivGr0Woi56Gp/IiheV9bigaBGg5kd//6cn9Q0VdMlq5k4Tdr1u3l59/W8r8vHykyKAQIDrZRs3oku/YeL6Xa/WNXhpNzHo26tsC8MQr/aUsomWj8RiK7yCAVD4fJ4jcSmck59pN5PkTMKwMNHQiRW6wQIsDIN6Hwi+TkdK68aQw945tyVf+2xZbXdZ3aNSuxY/cxmsfV8n8Fc/krJYMrohyEZMmXuMirPkHUJ4gzuNhNJrvJJByVtoTiQGU9qSThoR15E7LLUnhClA7FxylmZM6hBIbCD9LTM4nr8DAhwXbmTH+u0HJpaZkEBdmwWFR++WMTfx85y+Cr25ViTeFIlptkt0aDIBuurLKZ+CLKv8rYiC8gf2FvwvmdJFrhyJOWJntGstxehRCBR+5cwqecThdNOz6KpunsWfdeoSuZrFm/j/mLtwJQpXI4zvQ07h/ZC1spdud6dJ0fz6RwVaVQVPmZKErAgYVorBwii0a5Jpok4qa6LIUnhN8pPp5JLF8FEhgKH3K73TTr+ChpaZns2/QRYWGFp/dYvHwHdw27jFBHECdPJVM1QinVoBAgwekmwqISJ+shi4vQkhCWkAJAQ4JQUM7PSJal8ITwNwUfTz7x3a4ClgSGwic0TaN1/JOcOZvC3o0fERUVBpqz0PJBdisej0ZoaDANQoPBmVKKtc22M91JUwkKRRE86KjgHSuoo5N5frJJzsSSqti4jHDWkMYp3LTHQYoktxZCBCgJDMVF0zSNDj1H83fCaXav/5AqVSKK3aZ2rcps2noIj0cjulIYjlK+Ep2azs4MJ8OrFV9XUfGcwsV60kjGgwIEoaKj40LHioIGtMJB8/Pdx5WxcTmRLCOFpaQQhgWLtD0I4Xe+TkotCa4lMBQ+cPWNr7Nr71F2rP6g2LQ0OS7v3YJZf6xn0ndLaN+mAVf1buTnWua1MS2TOkFWoq3SqiPyOoGTFaTSkVBqYkcDnGgogA0FGyopeJhHEjWxUun8bdSGQg/CmMJpGkpiayFEgJLA8JJlIvWKbiL9r5o3kFqybBtzF2xixYIx1GtQM2/ZIpLZRkSEEt85lhMnk+ndvTm4Ezl2IomN244QHhpEu1a1CXUEFVzdc1mGq5uVkj/pq67rrDqbwaAIR4HPFyc9yfj75fYYPw9ZbuM/Vd0mElwH2Ywn3/WYSEDsMpG8OyndWJe9mbNR+ECFkkvFw3JS6UQYVbF762M93y2sAVmAHQutCGUOydTERiY6Iag0I4SaBFEDOxkX7Nv8leZbZqbCmMjXjMVEImrNxFroZpJHZTiNlzb62TGcCBuwWvyzYpOZsXN2l/H6Bqfn/fRkKAqEBmY4IOlqfE8St4mL8n+vTqV924Z06RRnarvU1Exmzl7LdQM74HAEcfxkMlOmrSXUYefMuXQ++moZqzccQtNKumZF4U56PKgK1JDWwgpNQycLjTQ8JJDFFtJYQhLNcVDNwLrIdQjiciKpjI3GBBOEwjySAIUaJtdVFkKUTPbKJ779q+gC8yeCKDcOHDrB9QO7mN5u2cqdNGlUg0YNanDo71P8NH0tA/u1oHlsDQBOnUll9p9bWbPxb7p3akCrZrWwmFnbrSg6uHUdDWR6QAWioXMON+loJOLmENktzxYUorBQCStdCaeKiba1MCyEnb+KamGn9QWJroUQItBIYCguyunTyXSLb2p6uyaNajDtl9UkHD2D0+nmqr7NvUEhQNXKYdxxaxcO/H2Gpav2s3zNAerVrkRicgbnlifQrXEkbeuEoZSg3b+6zYpdUTju9hAjy+BdcpxoZKCRhUYGOul4SEPjBE5CUAk9H8xdRqQ3qBNCBCaZfOJ78q0oSszpdJKZ5eLy3q1Nb9uoQQ0evu9KTp9JplbNaCxZp/KVURSFhvWq0KBuZfbsP0VSSgZNGlTFnrqP37acYefxNG5oV40gm7mWxAxNI0XTqGKRoOBScgoXO0gnEQ8hqASjEIzqTUIdRwjhEggKIUSRJDAUJbZy9R4sFpVq1aJKtH1IiJ06tasUW05RFGIbVfP+W9sZwr09azF5xXH2n86gWU3j3Xen3B7mp2ZQ32YjSH4aXhIy0NhIKsl4aEoIPQhClVQxQlQMim8TXMutQwJDcRGWLN9GZISjTI5ttahUj7CTnGFsrqdL11mWlsm2TCfdQoNpU8hSfSJw6OgcIottpNOQYLoQLgGhEBWMdCX7ngSGosTS0jJxuTxomoaqlv4E96rhdv4+m0lxU188us70pDSCFYU7o8MJLYO6Ct9KxM1fpKGh050IouRWJoQQPiHfkKLEXn5+CJlZTl57+8cyOX6b2mEcOJXBmVRXkeUOOt04dZ1BEQ4JCgPcaVysJpVFJFOHIHoTKUGhEBVYTh5DX/5VdHJHFaAbT1SMEuL93+CQEF576Q6ee/lLrrqiK506XDg7OdN4FbKSjdfhYBoAQUCv8GCm/ZnAXW2qYi2gD8CV6iHZ6SbcDZ40jaJeaZbB6ma4/DOBQTeRKNiMLJfx/aom7orOJONlUzONvWdFhfjbSecAWTQimMuJQjXxu7bonw4ld2ESa18x+srMZPk0nhbeHKuJpOiKicTsZr6gNRN1yDBYBzPJ3s0kw/ZXnrwsE/elC5N8p6kgmZZEDmk+ERfl6Sdu4YrLO9DnqmdITzceCPpK51qhRAZZ+GNfYoHPn/F42Ox0yoUe4LaTzt9k0ZdImhJCsJxRIQSg4OME10iCa7m7iov26/T/EBxk57Y7xpT6sRVF4brYShxMzGLegSROpblIzHSj6zq6rjM3I4OGViuXh4QUvzNR7njQWUsqh3FyGZGEyC1LCCH8SrqSxUVTVZXJ/32Ka256ma1bD9CyZYNSPX6wVWVYqyosOpTM99vPkOXRsaoQGZx9eXcJCipRImxRtlLxsIIUwrBwOZFYZcaxEOICMivZ9yQwFD5x9ZVdqB1ThdH/9zm/z3y91I8fFWzl+rhoAHRd51S6m5NpLiJDnRIUBphMNP4mix1k0IwQmhCMIkGhEKIAvp4wIl8XEhgKH9m1+zAJR07z9WdPlXVVUBSFaqE2qoXaOK4klnV1hAFZaGwkgx048aBTBSt9iZSVSoQQopRJYCh8YsInv1C9WhR9e7ct66qIALSGdDR0LiOCUFRpIRRCGKKg+3Tksdx5ZPKJ8JFOHeM4eSqRtet3l3VVRADyoFMTG2FYJCgUQogyJC2G5Yrz/F9pM/H7wHWuwIdH3NyBb6a2pP81z3Biz2fY7VZQjO9XCa1uuKy2M9VwWVuYma5IY/kcM0wkxbOqxlMf2C3Gc6GlGMwLCJDlKvvff8UlMjqLhwYEY2yBw2xm8vKZyfdnJueh768uc8y8LjPHDzKzXxPZPYLcZX8tGr3GXE7jP1A8Jk6ExcRbYCbn4YW5CYsum7cSaQE8YkPGGPpe2X9KxSXj1x+eARSuvrn009aIwOVBJwkP0fI7VQhhkqx84nsSGAqfsdut/DnzBRYu3cbHX/xZ1tURAeIcbiKxSDoaIYQoByQwFD7VsV1DXnhyMA8//RUHDp4o6+qIAHAaN5WltVAIUQLZeQx1H/6V9SsqexIYCp979YVbaNKoBrfe+X5ZV0UEgLO4pRtZCCHKCQkMhV+8+9ow1m3cXybrJ4vAkoJGhOQrFEKUgIwx9D0JDIVfXH1Fe0IdQbw+dkZZV0WUYzo6qXgIk1uREKIEFJ92I+umZoJfquRuLPymbav6LFuxs6yrIcqxwzgJQSVEbkVCCFEuyMAe4TeKokizvCiUB50NpNOFMElqLYQoEQUf5zH03a4ClgSG5YnuAs1HCa5VE2O2FDNlC2/ZcTpd/DpnPdcN7ATAtp0JXH1FO2P7t9iNV6FpmOGylRs4DJclwtjHQfv0sOFdqlbjtxlrsPFWs4wTxrs70jJLnvi2KE4TPS4ZBTy2nQwcWIjE5n3eTHJpM8zc6My0XRb0unzBZrCcmYTgZpJhm2Hm/TJTXzP7NVPW6N3OVPJwzcxnzD+hR4qJz6N2wYk4K5GAyEUuB+ETJ08l0jr+SU6cTCLUEUT1apGkpGQwcdx9ZV01UQ4l42E3mfQjsqyrIoQIYIri21Y+6eWSMYbCR+58cCK6DkkJk3nw3gG0blGPVQvHEBYWUtZVE+WMhs4aUmlBCGEyG1kIIcoVaTEUPrFz1xH69mpJRISDt/8z4vyj8tNL5Pf3+fXAGxNcxjURQgQ6VdFR8d1MYklwLS2Gwkf69mrJ4mXby7oaopzT0dlBOi0JkQknQoiLJnkMfU8CQ+ET/zf6Ro6fTGT0/00u66qIcuwkblQUqhmeXiGEEKIoqampzJ07ly+++IIvvviCuXPnkpqaWuL9SVey8Il69aox9fNHGHbveJav3MnsH54jOjqirKslyplMNOwo0loohPAJRVXwZU5qJcCaDH/88UfGjBlDeno6up79RiiKgsPh4Nlnn+Xmm282vU9pMRQ+M/Tmnqxb8jaHj5yheuN7eP2dn8q6SqKcqY2dVDSSTCUuEUIIcaH58+fz4osvEh0dzbPPPstXX33FV199xXPPPUflypV56aWXWLBggen9SmAofKpt6wYc3vEpLz59E/9+83vqNv8XGzcfKOtqiXLCgkI97Bwgq6yrIoS4BCiq7/8Cxeeff06jRo2YOXMmI0eOJD4+nvj4eEaMGMH06dNp2LAh//3vf03vV7qSyxPdBXoxCa7L+qrVjKUgfunp63nwngFcO2QM7Xs+RfeuTZny2SPUq1et4A0sxmeoKv+6znBZVi4xXFRPNfbabA7jKVZ0zXgfR3AlE+PuThhvcfNX0mozoZ0n1//XIZjFJNECB2opdSn7KwmzmZGSZpJ3G31vzSRhNpM4ysx+zaTkN/PemvlyMpP0yB9felkmElz7a3TtxbTB+yv5eanw+QpbgdOVvHPnTh566CFCQ0PzPRcWFsb111/PxIkTTe83gGJjEWiqVIngr3lvsHTOa5w4mUSD1g9x1Q2vcfJUYllXTZShCCw4sHDKb+ucCCFExZAzrrAgJR0vKYGh8LvuXZuye8OHzP7xObbuOEzNJvdyy8h3SU3114JiorwLRyUtsNsphBDlQEXuSm7atCkzZ84kPT0933NpaWnMmDGDpk2bmt5vAL0FItBdfUV7Du/4lMmfPsyiJduoVGck9476GKdTWo4qEg2ds7iJkFVPhBCixO6++2727dvH4MGDmTp1KitXrmTlypVMmTKFG264gf3793P33Xeb3q+MMRSl7vZbe3H7rb2Y8NlvvPDKd0z+32Ieue9K3nr1NlRVfqtcqtzopOJhOxmEYqGy3H6EEBdJUfFp+qvAGWEI/fr148UXX2Ts2LH85z//8XYd67pOSEgIL774Iv369TO9X7kzizIz6r6refCeK3lj7HTeGDudiV/M5fknB/PcE9dJgHgJcaGzmXT2kUkwKrUJopmsfCKE8IHswNCH+/PhvkrD7bffzqBBg1i+fDkJCQnouk7dunXp3r074eHhJdqnBIaiTKmqyv89fRPPPnYNz/z7O159axrvTpjNhsVjqFevallXT1wEHZ3DOFlPOpWwchWVCJbRK0II4VMRERFcddVVPtuf3KVFuWC1Wnn3teEkHf6SOjGVadltNEePnS3raokS8qCzijS2kEF3wuhMuASFQgifUxQle/UTX/2ZnMmblpbGa6+9Ro8ePWjdujU33HAD8+fPN7Strut8//333HDDDbRp04aOHTtyyy23sH79+pK8FT4jLYaiXAkOtrNh6Rhaxo+meZenOL77E4KD7WVdLWFCGh6WkUIoFq4gEhsKMv9cCHEpGjVqFNu3b+epp56idu3azJgxg1GjRvHJJ5/Qu3fvIrd94YUXmDt3Lvfccw/t2rUjIyODrVu3kpFR8B1zxIgRKIrCF198gdVqZcSIEcXWT1EUJk2aZOo1SWBYnuju7D+fMPGrx8z8fDNldRPpSKz/JLhWgc2rPqBGwzu5ZshY5s1+NW8VKsUar0LoSsNlFYPJqD1O468rPCbIcNmsZE/xhc5ze4yfXxM5ti/aKVwsI4WmhNCUYO84QqPzj80k/zWT7MZfiXHMzKf3xyKAZtpgjV9d/qkr+K+Lysz5NXrOzPyYMXN843cEc+fMTKLx0xf8O9nEtuWOim8HBuoYfuMXL17MX3/9xYQJE+jfvz8AXbt25fDhw4wZM6bIwHDOnDnMmDGDb7/9lnbt2nkfv+yyywrdJiEhAUVRvLkLExISjFXUJAkMRblktVr5ddr/Ed/3Wb77cQlDb+5V1lUSxUjCzVJS6EoYtZBWXiGE/yk+XvnEzK7+/PNPwsPDufzyy/PUZ/Dgwbz44ovs3buXxo0bF7jtlClT6NixY56gsDgXrntcknWQjZBBP6Lc6tIpjlH/upoR97zP5q0Hy7o6ohhbyKAZIRIUCiEqhD179tC4ceN8WTTi4uIA2L17d4HbuVwuNm7cSFxcHOPGjaNbt240b96cgQMHMmPGDL/XuzgSGIpybfzYe+nRrTnxfZ/h5MnEsq6OKISOzglc1JWgUAhRivy18snx48dJSEjI85ecnLfTPTExkcjIyHx1ynksMTGxwDonJibidDqZMWMG8+fP58UXX+S///0vsbGxPPvss/zwww+GXnuzZs2YNWtWoc//9ttvNGvWzNC+cpOuZFHuzf/1VZq0eZC28Y+TsOcL+TVTDp3DQxAKobKaiRDiEnD77bfne2zUqFE8/PDDeR4rahZzYc9pWvao1KysLD777DNiYmIA6NatG4cPH+ajjz7illtuKbaORa2TbOT5wkhgKMo9VVXZtGIc1RvcyT0PfcSXHz1Q1lUSF0jFQ7gEhUKIUpadrsaH+zs/k2jq1KnUqFEjz3MRERF5/h0VFVVgq2BSUhJAga2JOY8rikLDhg29QSFkv5aePXsyceJEzpw5Q+XKlS/ilcDRo0cJDQ01vZ0EhiIghIU5+HziQ9x+13uMfmQQzeJql3WVRC5VsbGWNE7iopqpucVCCFH+1KhRg9q1i/6eady4MXPnzkXTtDzjDHPGFsbGFpxBIzg4mHr16hX4XE4rX2GtjfPmzcuTJ/GHH37gr7/+ylcuKSmJFStW0L59+yJfQ0EkMBQBY+jNvXh3/M8MvOkN9m+ZWNbVEbmEoNIWB9vJkMBQCFF6co0LLG39+/fnp59+YsGCBXnWJJ45cyYNGjQodEZyzrZff/01CQkJ3gBU13WWLFlCnTp1iI6OLnC7nTt3eieoKIrCmjVrWLNmTb5yDoeDdu3a8dJLL5l+XRIYlie6BrqZzFVlQPFTd6Fm7HX/9tPz1Iq9l3fG/8rox24otrzSdbDhKui7lhgqV6nxQcP7zDxnPNOdM8V49jhdNx58WVTj40xsZnI1XJBLsTFBbCANCzrWEiYWCzFR1kzutTQTZf2VH9HMzdbofs0c30yeOzN5DM3k5TPz/e2v3JNGPzlm7sRm6uqva7GSibLVLvh3IE8Zy16xxIf7M1G2d+/edOnShRdeeIHExERq167NzJkzWbduHRMn/tN4MXz4cFavXs2uXbu8j919993MmjWLe+65h1GjRhEeHs60adPYtm0b7733XqHHHDVqFKNGjQKgadOmvPPOOwwaNMj06yyKBIYioFSrGsVN13fjky9+NxQYCv9Kw0MKGgfJIgUPwagBtwi9EEKUhKIoTJw4kXHjxvHee++RnJxM48aNmTBhAn379i1y20qVKjF16lTefvttXnnlFTIzM4mNjeWjjz7K0/pYlPnz5xfasngxJDAUAWfoTb2Z9vOKsq5GhZeOxi8kEo6F+gRRFzvRWLFIaCiEKCWKj7uSzd69wsLCeOmll4rssv3mm28KfLx27dqMHz/e5BH/kXviii9JYCgCzsCrOgIw4ZPZjLr/mjKuTcWVvRKVwtVESjuhEEKUgaSkJH766Sc2bdpEcnKyNxVODlkrWVQIVquV4UP78OJ/pkhgWIZc6GjoEhIKIcqMz9PVlOLa8hfryJEjDB06lJMnTxIeHk5qaiqRkZHeALFSpUqEhJgZuZ1NcgWLgDTxvQdITctk3PiZZV2VCmsNadTGjiKhoRCijPhr5ZNA8P7775OSksLXX3/NnDlz0HWd9957j3Xr1vGvf/2L0NBQvv32W9P7DaC3QIh/BAfbuXtEP14Z812+pnNROloSwglc7CCjrKsihBAVzooVK7j55pvp2rVrnryHISEhPP7448TGxvLOO++Y3q8EhiJgvf/2fWRmOBn7QdkvOl4RVcPGVUSym0x2SnAohCgD2elqfPsXKBITE2nSpAkANlt2IqbMzEzv8927dy8w+XVxJDAUASs42M59dw7gP299L62GZSQMC32JYAsZ/EUq50xlwBNCCFFS0dHR3uX3QkNDCQoK4siRI97nXS5XnkDRKJl8cskyMYJWNxFUqWYuGT8lw7Y39P7vu+Ne479fd+aNcfP4v+fvz19WM5HW124szWtQu4jiC5139vvjhsuGVDaetDoszXj6XTMJrs1QMrLPrwOFG/Vw9uNkgZ7IzUoUwRcM1HG7ff8b1Mz6KmaSMJvhryTIZc14WnZz/JXg2kyCZqPnzMzXqZnrwF8Jrs2siHsptQj5PF1NAE0+adKkCTt37gSyJ+G0bt2ab7/9lr59+6JpGt9//z0NGzYsZi/5XUrXh6iA7HY7j4waxn/e+ITTp8+VdXUqrDDFQixBqCi4zfwoEUKIi5A9K9mHf4WsUVwe9e3bl40bN3pbBR988EEOHTrE5ZdfTv/+/Tl06BAPPvig6f1Ki6EIeGPeeIKfps+lc7db2bl1NnaDLX/Ct/7UU2iEnTB/LZsohBDC6/bbb+f222/3/js+Pp7//e9/zJ49G1VV6d+/P+3btze9XwkMRcBTVZW/lkyleZtrqV2/L2tX/UjdOjX9djwdOK5GUENLlkQtuYRjIRkNl65jC6Bf3UKIAKZgfrmS4vYXADweDydOnMDhcBAVFeV9vFWrVrRq1eqi9i1dyeKSUKNGVRIOzKd69co0aXYVy5at89uxTqlhLLDHssLWIKDGjflbLyWUYBTm6SlounQnCyGEv7jdbvr168dPP/3k831LYCguGQ6Hgy0bfubKK7rT54q72Lhxp8+Poeuw1lqX45ZIltqbsMdSzefHCFSqotBTyR4Cv4OsMq6NEKJCUH2bsiZQoqKgoKASr2xSnAB5C4Qw7ufpH9G7Z0fiew5l3/5jPt33qRQrhyyVcGLBragsszeSVsNcFEWhk+Jgi56BLq2GQgjhN7169WLRokU+368EhuKSNPf3/9KiRWPadn+KzEwTKWuK4HbDj6sjOK2E4kYBdE6rYdJqeIEqipVMdDJkdrIQws8q8pJ4o0eP5tSpUzzzzDPs2rWLrCzf9NTI5BNxSVJVldV/fU9U1c489+8pvDfmrove5+I9oZzJsp//OaVjweNtNWyScVJ+ZeXSimBW6+lcpoSVdVWEEJewnHQ1vtsfmMoDXIa6deuGoijs3LmTX375pcAyiqKwfft2U/uVwLA80TVzyabLgpnuQVMzU02kOHElGCqmAg/dfzsfTpzKu+PGoKpFh25Kw5RCn3O73Sz/9fxxFR1QcKGgonDaFs6emg1oGpY/j6L155OG6gqguY2/t44g4yl1bRbj19S5NDNpowvXSgnhf/o57wxlowvm+Wtkopmg3cxN0V+fVqMJps2sM2PmvU03UdZMcih/vbdmzq/RRNCnTezTTF3NnAcziZ/MJM6+8D0o5986ohDXX3+9X/IuSmAoLmmvvPwQY9/7mk//+wMP/GtIifezeHVSAY9aUNBw6yrLEmsT6zhHMbFnhWFXFCrrVv7S04g3tSaDEEIY5/OVTwLoHj5mzBi/7DeA3gIhzLPb7dw25GqefPodEhOTS7QPj8fD6k0FtyZ6UNFQOOsJZm9GpYup6iVngBKOFYWZehJnZQ1lIYQICBIYikveV5+/TnR0JN17DyvR9uu2peIsMq5R0DSVcKtvJrlcKqyKQnc1lE5KCEtI5jjy/gghfMuny+Gpvh2vGKgkMBSXPFVVWbnsW/bsPcQDD71qaluPx8PiVUWtwaxzddhOnqm/ippBZkb5VBwNlCDqE8Q5jI+LFEIIIyryrGR/kbdAVAi1Y2rw3Tdj+fTzH/j9j6WGt1u3LZX0zKJKKPyW2ohTTt8nGb2UhKJyAhd6gMz2E0KIikoCQ1Fh3HhDf2Kb1GPylJ8NbxMd+c8sXY/HU0jSZgvfH22IO1d3s67ruNwy1y9HI4LJQmMT6XgkOBRC+EhOuhqf/ck67xIYioqlUqVIzp4taIZxwRrXc9C0UTAej4fff/+dv/76q4DgUOUckcw7XRvIDgrH/XGIR6fuwiWrfwCgotCbCNLRmEsi6dKtLIQQ5ZKkqylPPFngKbLf0nieQ83EF6+ZwbZm8iwqJjKcWUwkQtbMTGLImxGuRfMG/Prb0nyPA+BoUuAebr2pCcnJKXz99dfs2rULgG7d4vP9slydUYfLmwYz/n8b+WDBUerVCqdyn+rYLcZ+f52ef9ZQOYCgKOMfXfcZ49eCZiKOdbqN/670ADZUuhDODtJZQgp9iMRK3vfQaL5DMJd7zcyNzl85D/0xL9vMe+Cv9mszn0YzZc2chyATZY0yk0Mw1Q/HB0z9fDJThwuv24CeFqYq5r7Dit2f73YVqCQwFBXKa6+M4suvZ7Jx407atm1qeLsvp6yiWbNmrFy5kpUrVwL5g0Nd13lw7HbmLN4MCgzu0xBbmplUwRVDU0JIRWMNqXQlDAXpuhFClJCKb4O5chwYrlmzpkTbderUyVR5CQxFhVKjRhVim9Tj2RfG88evEw1to2kaSSk68fHxAAUGh7qu89dfK1m5cj0RIfD4bW14fFgb9M9W+u21BCoFhfaEsoAkdpNJHDJxRwghijN8+HBTYyB1XUdRFHbs2GHqOBIYigpn9JN3cP9Dr+N2u7Fai/8I7NmfvTiWoijng0OdlStX5QkO//prBStXrswu07kzjw9rmh0w+vOFBDALCt0JZwHJhKJS2y+dgUKIS55Fyf7z2f58tytfe/PNN0vlOBIYigrnzpHXMerRMbzx1he89MK/ii0fERaEqoKm5Q4O8QaHW7ZsIS0tDUVR6Nq1Cy06dMXlOoPdzCKyFZADCz0IZyHJ1MCeb7yhEEKIfwwePLhUjlOOe9OF8A9VVblj+LW898EUQ+Vr1ojkuqtbeP+dExx27dqFzMxMzpw5Q2ZmJl27diE+Prtr+aN5UXhk4m2xorBiBVzStiqEKAlF+WcCii/+JF2NBIaiYnr3nSdISUljyrezDZVv3aJWvsd0PXsMR076mn8y0yikuG3MXO3IE+7ouo7LIwFQbh50NJDE10IIUUIej4c9e/awdu1a1qxZk+/PLOlKFhWSwxHCNVf34vGnxnLbkKtR1eJ/I9lt4HRxfqLJP2MKQ0KC0XXyTUjZdspBN2s41d0p6LrO+1tOcTA5i7HxtbH5ckxMgNLRWUcq1bARIr9RhRAlUYFmJRfks88+47///S+pqYUnLDI7+STA3gIhfOfbb94kJSWdx58aa6h8vTrReYJCgAYNGuBwhFKzZk0gOzj8668V51sRFX4Na4Z2Pij8356z1I8IwiqfOgB2k0kSHjpJyhohRElZ+GcCik/+yvoFGffjjz8ybtw4mjZtymOPPYau64wcOZK7776byMhIWrZsyRtvvGF6v9JiWJ6408FlK7qMNZBSe5gYZGcmabU12nxVCuBwhDD+vWd4YNTrPPbw7TRoUL/I8p06Nufrb97ythR27dqVrl27snLlSjZv3kzNmjU5duxYrpbDbhwJrsZrZ5z8ejSZoZfX5rEr6hSabiBij/Gch0kHjaeCtqjGu2mzXMajVjMJmy8sexwnO8mgD5GA4n3eXzGzvxJB+ysZttF5S2a+w7JMlC0PzCRdTjRR1ug5MzN3LNhEWX996Zq5Fi68exSzrIIop7777jvatm3LN998w7lz53jvvffo3bs38fHxjBgxguuvvx5PCQa7S9uFqNDuu+dGmjVtwNXXjSqynK7r/DLrDzZvWu8NCuPj41FVlfj4eFq3bk1ycnKelsPly5ezYsVKJv11miFdahQZFFYkKXhYSypdCMcRSD/PhRDlTwWefLJ//36uvPJKAO93S04gWK1aNW655RYmT55ser/SYigqvF9/Hk/9JgM5dOgI9erFFFjG5XIx4+f52GxWBvbvSJ3GXb0fxNwpbHK3HK5du5bg4GBat27D0N5BKIqZBd8uXStJQQF2kIFGOgrZSa/Pv5tEYCEKK1FYCSpHv10z0bChYJFubyFEOaCqKiEh2b2IDocDgKSkJO/zMTExHDp0yPx+fVM9IQJXvXoxVK9Wmbfe+bLQMoqi0KZ1HI89MoLPx/QjpoqS7/ncLYcATqeTli1bEh8fzx+n6ueatVyxtSWU9oTRhGCa4aApDmIJpjHB1MSOC529ZDCPROZxji2kcQInTr+t9lu0dDysIJk5nOWsX1Y8FkKUmOqHvwBRq1YtEhISALDb7dSsWZO1a9d6n9+yZQuRkZGm9ysthkIAV1/dg19mL2DihBcLfN5ms/H+u89itVpRTv1Bnw5BTJ2bd9RWTnC4ZcsWQkNDAejevRuKopBAJU67Q6hqk1bDqhQ+jjYLvKug6Ogk4eEETvaQQSJuamKnDWGllgz7DC42kIodlXCsVJFbphDli89XPgmcHoGOHTuyaNEinnzySQCuvPJKJk2aRGZmZvbwp19+4cYbbzS9X7nLCQE88+SdfPX1z5w9m0h0dFSBZWy2fwKaxnVtXNbBzaJ1/wzs1XWdFStWAP+M91ixYiXx8dndzkGKZLw2Q0HxdinHAW50NpDKdtJoTZhfj62js4sMDpFJK0I5hxtbrg5vIYQoayNGjKBp06ZkZmYSHBzMww8/zIEDB5g5cyYA3bt39waNZkhgKAQQF1efqMhwxo77mjdee8zQNukZ/wQJOUHhli1baNWqFfHx8d5/A8THdyE1y0KEfOJKzIpCCxwsIonm6Kh+CtIy0dhCGul4uIwoglA5g1uCQiHKo5xJI77cX4Bo2LAhDRs29P7b4XDwySefkJKSgqqq3p4rswKoN10I/7r5pgFM/OQ7NM3YWLaYKtkfn4KCwpxu5VatWrFlyxZWrFjFl6dbkyE9yRfFgYVKWDlhKpmJcVloLCMJByo9iPROfqmBjaMBl/AlsDjROEImJ+R9FsKQmTNnescY5hYeHk5oaChHjhzxth6aIYGhEOeNf+850jMyGTvuK0PlW8faub6nrcCgEHLGHHb1BofLV6zls5Ot/fkSKoRwLKT7YSJKFhqrSCaGIFoQmmf2cSY6NrldlpiOThYaybg5g5PjZHGYDBJxAZCCmzUkkoSLA6RLcCiMU/DtxJPAaTDkueeeY8OGDYU+v2nTJp577jnT+5WOrfJE10Ev5gtPNzhOTTHzJWZmuqyJsmam4frrw6g4DBcNdti4956hvD7mM55++uHCC4Zlp7TRdZ35K35j69b8QaH38OeDQ+B8t7LO3b0aEh6e/wUHtUs2XNfkTcZT0oaYyNSracZPhJn5uUavRiPlqmNjHak4sFDTYBriovaroXMMJ9tIJwY7zQnJczlmorGDNDoRflGhYTGp6/Mw2gFkJt29mZv9WRNltTz/r5OIm3O4yEQjE8/5/2pYUQhGxYaKDQUbCnvJRAGc6LQklOoEkYybDSRTG7vh1EBmzovRsiXrhCuemc+NmXNmJiPohe+BmWTe5U4FnnyiF/Md63K5DC33eiEJDIXI5Z23nuXjT6awYsU64uM7FFnW7fZw4NBJrrmyMzXrtC00eXXu4DAx8RzjF0XzwqBzPq97RVEdO10IZxnJXE30RY39c6KxkhQgO41OtQK+IpNwE46VyqZCu4rBiUYibtLxkISbs7gIRiUaG1FYCcZOMBaCUQsM8jzopOMhBBXr+XAlAisOLJzFRdXADlmE8LvCvneSk5NZvHgxVatWNb1PCQyFyMXhcNCoYV3eefe/TP+p6MDQZrMy7o3hWK0WduxJ5cffjhZaNic41DQNj0UlNRXC/Dux9pLmwIL1ImcJZ6CxgmSqYaMFjiL3JZ3IeWXg4SAZHMdJGFZCUamMjSY4CDbRdmVBIbyAryEPOrZA6tMTZaeCTT6ZMGECH330EZD9vTJ69GhGjx5daPk777zT9DEkMBTiAkOHXMsHHxobZ2izZX+E6tQqvlNPURQsFgugM2FJFZ69+vTFVLNC09DJROMwWYWGD4q3LHjQcKF7/1LPt3DF4qAJwUUGhZKX/B86OgfJ4CCZxBBEN6L8MvYyC40QWS5RiHyaNm3K9ddfj67rzJw5k44dO1KnTp185UJDQ2nTpg3XXHON6WNIYCjEBZ568l5ee+NDtm7dScuWTQ1tEx5m5qOk4MRKSgqEh5esjhVdECp1CebkBbOTCwriFMCOgg2VIFTCUIjBTiWsMqHEBBcaW0nFhU48kd6WQX+sR2NFwYVWrpZEFOWTopgcUm9gf+VZv3796NevHwBHjhzhwQcf9C7J6isSGApxgYiIcOrWrc2LL7/HjGmfGt6uWSMbO/a5DJZWGL+0Ci9Iq2GJWFFoZyLJ9cV8b+gE1ERFv0jCzWZSqIadJjj8lkMyRzhWUvAQJl9RQhTqm2++8ct+5VMnRAHefH00w0Y8zsmTp6lWrYqhbXYfMBoUZvNgxekEu4yvF+WUjs4RsthLOs3OzxouDeFYSMFNzVI6nghgFXhWco6VK1cyb948Dh8+DECdOnXo168fXbt2LdH+JDAUogBDh1zLM8+OYcQdT/LHb5MMbaNawGOqX01h7LyqPNXvlKHg0A38YW9GuJ5FDU7KCCzhVx50dpBKMh46EUloKV5xLnTs0o0sjKhgk09y0zSNZ555htmzZ6Prujc1jaZpTJ06lUGDBvHWW28VOnO5MBIYBhqjuQGLy4dYGmUVP32RaCZWvTCV4CzvgL9PP3uPgQOHsm3HEVq0yDXWMKRxgZtffpmFP/7cfsGjRX8g3dgYM68Wz9wK9iZ7iiy7JLkeG9LrAmC5sy7Xff29oTx2thDjb4LHRB5DM4u4GK2BmfYhM/ngzMTrZi4Zf+3XH4ze7HV0UnCxg3QisNCTSKxFXMdm2smNJPzR0UnDRS0chnMJ+mNBITPJiSJMlDXzfpm5xkXF8+WXXzJr1iyuvPJK7r//fho1agTAvn37+Oyzz5g1axZNmzblrrvuMrVfCQyFKMRVV/ajQ4c2XHvd7ezbu67Y8l06NqBLxwYATPl+Ffv2Gx8/OOVPuKuIVkO3G9akx5ATaHpCHUz/13Aum/YrtU6frfBj4PxJR68Q7+9pXGwglXQ0VFRicVAde6mvEX30/ISiapI3UhiRs2KJL/cXIGbMmEH37t15//338zzetGlTxo0bR1JSEtOmTTMdGAbQWyBE6ft19nccOpTAO+9MMLXdsFu78PJzA3lphLHyR85CVhGrgC1Jr4fzwq48q5VFN1xNYqUoU3UTIreTOFlIImtJpQWhDCKaXlSiBkGlHhQ60dhFGs0JLfVjCxFoDh8+TN++fQt9vm/fvt5xh2ZIYChEEapVq8rzzz/GC//3GomJiaa3P2digZMp51oU+PiFrYV52Gxs6NBacu35Ufas5EsvSPGgs5k01pNGHA6uIIpa2P0+47goO0ijBkFESWuhMErlnwkovvgLoKgoJCSE06cL75k6deoUISFmFs7MFkBvgRBl49VXnqNatapce+0w09tOnG287FGiC2w1LLC1MJf/b+++46Oq0sePf+60THohDUgIJXQIvQmKNAtiwbIWBHUtqwLu2sWC7lpW1t9Xd13Etq4Fe1mwoYKiqEgv0juhB9J7Mu3+/kiB9HtgJpkkz/v1mhdk5sy9d9qdZ55zznOOJXeUrKFQUoybn8ilBA9jCW/ygLDCCZx0UVoBWrR6FZNPvHlpJgYPHsx7773H7t01x6fv2bOH999/nyFDhihvV8YYCmHAwgXzGTpsAosWLWHihNonn9TGrZjKeye7N7fGb638u95sYQWzmQ2DUhjz/c9+8NUu/J0DD8vJpwMBDa760th0dMlWCGHQXXfdxdVXX83kyZMZO3Ysycll30179uxh6dKlWK1WZs6cqbxdCQyFMGDw4P5cfvkkrptyG1lp31eWBWiI1QxOt9G9aKSVZw0Dyqfn/tpAtrDCseSO5KzbRGR2jtGdCYNaUoFrHZ21FBCHlW5+mJkLwkwBbiIlPBRGteLJJ927d2f+/Pk8/fTTLF68mMWLF1feNmDAAB555BG6d++uvF0JDIUw6P33XiUyqgu33P4U/31ttqH7xEbCEcXFTd7P7s1N5VnDKEshhsISyRqKUxThJpVS0nHhwEMpOoGYCUCjFA/D8c+1GKOxko6TSBljKIQhffv25cMPPyQrK4vDhw+j6zqJiYlERUWd9jabUWwsRNOy2Wy89trzvPXOV+zcdcDQfW6eCHdfWZY5NEbj6Clf2ilBGdipZ7ryKY4ldyInMtzojoSC5hRsZ+PiB3IpxkM37AwmhDGEkUAAYVgYSqhfjCesTSw2juNAl+lUwijNy+ML/X2x5FMsXLiQw4cPAxAVFUVKSgr9+vWrDAoPHz7MwoULlbcrGUN/4nGVXepjauJf0j4rnK1QtNpToNBWYb05c2yDTaZcdy3P/99LXHTZvezZubzB9lpYEmFhMGlsPguWZBk6DA9WHFHBld3JcXlFHCgyUPrZpFHaLY6ow4VVrt653Te//1S2arRQcc5pHIcRSgvSVOOmrDv5TLYBGAzvyxg9MVc/W+Ti4hfyGEAw7auVC++gsHKJrxaia+g90wYLOjoFuIlX+HpSOSsafR198f4GtfeBSuHuEoW21c+KzXoVpVa8JN6sWbP4xz/+QUJCQq23b9q0iVmzZnHZZZcpbVcyhkIo+vrLd0hNPcybb31k+D4p3UN5fEYSj89IIqV7UIPtP9jbpfL/N3Tfx8CotIZ34nETna9QH0e0KC50VlNAH4JqBIXNhYZGewI4pBTmCNE66Q2shOZ0Og2Phz+VZAyFUBQfH8uE8Wfz9zlzuenGq5Xv37dbMJt2FtXTQuNgaThOJ1jLUyGTko4wKelIZYvs2dWX3hP+ohg3BXgwA1Y0AjHXu6Sct2yikDDMJDXToLBCAgH8Sm5TH4ZoLlrx5BOgznWQ8/LyWLZsGTExMcrblMBQiNMw5+8P03/QeRw9mka7dvFK901OCsJiAlcDfVqLjyZyUZJ61XrhfZm4+JVc7JgYQAjmWgK9QtzsoZijOAjFjAdw4qEYDxY0rGgU4cYDlVUDzWhl9XnRCMJEKGbCsBCPmSBMWNEaLCfjQmc7RWTg5FzC/ar8zOmwY8KNjgu9UQJqIZqTuXPn8tJLLwFlQeH999/P/fffX2f7m266SXkfEhgKcRpSUnoRFxfLo7Of47//+T/l+0eEmcjIqS8y1LBpDYw3FY1CoywL2JsgjuFgJXn0J4RgzLjRycBJKiVk4SKJAMYSQcApaQcdnVJ0POgcoJgMXIwgFB0NDzpuylYhKcRNPm7ScHAAN0WU1TkKw0wvgmhbbWRYHm72U0oqJbTByjmEY2tu6Y5aaOVBtAMPluY9+k00Bm8XpfbzAtc9evTgsssuQ9d1Fi5cyODBg0lMTKzRLjg4mH79+jFp0iTlfUhgKMRpGnnWYFav3nBa9z3/7Da892V6PS103Frz/5JvCdphox1tMKHRFht7KGYZuZgoy9aFYSGJAAYRWmuGS0PDXp4Z7EkwP5JDFm7iqwV64aecjismMzjxkI6LleRzIZHolM063k0xebhpTwCjCKty3+YuHQdmNOwtIMgVwtvGjx/P+PHjAThy5Ah33nknI0aM8Oo+Ws7ZRIhGNqB/H5b+2PDM5NokJwUxeUJUPTOVNdoFF9Zxm2hMp5Z2MaHRjSCSCcRR3tWp0t1pQqMPwWymkFisDZaNsWKiHTaSCeQrsrGhEYqZzthJxIanBXa17qOYbgT5bUkd4WdMXp6V7OcZw1PNnz/fJ9uVn2RCnKazRw0lL0+hdE41FTOV772xTS236uxIC8Elvcl+yVSe0TqdMXBx2AjGzD6Fmbd9CWIyUVxCFGMIJ4mAFhk4udHJwUVcjYIqQtTB5INLKydPgRCnqVevbrjdhte7q9MrH2XWcq3GjtI4fjrW7oy3L/xPH4LZTTGlCtURa5vw0tJolNUZbPmPVIgzl56ezqxZs3j44YeVbmuIdCX7Ed1diu6qP4ugme0GN6awcoBKW6UztsrqBQoBlkoxbJexotIAWAxmcEwhAERFB6FpGldcdQeffPJ27fWigrvVu6mCggIKi+teReW3jDi25kVz24gTBJ6ytG3EeceNHSsQtM/4mnxpDuO/FVUWVTPaKR6v8P46ofD2UumU99Wv5VNDwFDMJBLAdoroT0iNtgrv8NPavzepPF8NF6LWiMXKXopIUSgbrfJFZrStStFslVWnVYphq7xv8xXaVn/NmnWBo1Y2+eRU+fn5LFiwAE3TeOaZZwzf1hDJGApxmkwmE98v+Zxvvv2eDkm9OXhQvbTMq2+tbaCFRq7Dyv9bFkepypIJwu91J5A0HOTWWL+kdRtICAcpxemzUFaIlqFdu3a88847vP3220q3NUQCQyHOwNix53D0yHYiwsPpkjyADz74ROn+VktDH8GyX686FuavjlQ+Pg9wqHtHioGfrr5AaTku4VtWTHQniE0UytrAp7BhwoZGiTwnwggN744vbD4JQ+x2O0OHDmXo0KFKtzVEAkMhzlBERARbtqzkjtv/yJTrb2PK9bfi8RjLdkw8r6fh/RwtDFTOGu42xbJ11EB+nnYxOe1jWX3ZWLUNCJ9KIgAXOkd90nncfIVj4Zj8jBFGaJr3L62cBIZCeMmLL/6Dr7/+mP/97wsGDR5t6D7JnWNISgw3vI9//xyL0fkuHmCVtRMlZhPFbSIAyOzUnlKgCPjm5svZNKSPyuhO4WUV5Wu2UoRLMmSVehDEPko4JgGzEA1as2YNL7zwAo8++ih79+4FoLCwkDVr1pCXl6e8PQkMhfCiCy+YwO5d69myZRtPPPF3Q/dp19ZoYKhR5Lbyy84gQ613m2LJ0QIhwFrlV/B3t17J4tv/QGl4CPtG9ic1pbvB/QtfiMFKBBb2UtzUh+I3gjEznDA2UUA2zqY+HOHPTJycgOKVS1M/IOPcbjd/+ctfmDZtGq+++iqfffYZJ06cAMBisTB9+nTef/995e02o6dAiOYhIaE9z/3jSZ586jkOHDjWYPsJ53ajQ4LxOb4/H4xoMI9SkS104QHLKfMwNQ1PaBAElc9uN5nYfHZ/6bRrYr0JYi8lFEv+tlIEFpIJZL9CvUchWpPXX3+dxYsX89BDD7Fo0SL0UyqMBAQEMH78eJYtW6a8XQkMhfCBv/zlTqKj2/D8ix812DYjs5ATGUUKW9d409qfRdaedc5nrcgWFmoBNDiaOiCAb268VEKSJhSMmY7Y2YbK+6Dl81BWvzEXl0zQEbXTfHBRUFhYyFNPPcWoUaNISUnh8ssv54cfflDahq7rTJs2je7du/P0008bvt/ChQu59NJLueGGG4iMrDk5sUuXLhw6pF4tQ+oYNje6wdIWusri8yptVeojKpSb8CiEJSo/Z1RqHrrTjLWzJBtqNnToYJYu2wTWpHrb2UMKMZvXg0LZkhO2tpwAAuOtjI09UuU2jwdWHeqKq1gDLMZesqgwsi7qQeCHew0fg8roL6OPTNOMv7+KdeNncJU6cypFUlROoA09X72ws4Qc8nESarCKnspHQeVx+SqDrLJdJ+BBYw8l7KOU3gSTSO11XFVeX6M1+1SeW5WCQypruviqlmL1zvlmPd3C2xNGFLc1Y8YMtm3bxn333UdCQgILFixgxowZvPLKK4webWys+ccff8y+ffuUD/XIkSP88Y9/rPP2sLAwcnNzlbcrGUMhfOTKKy5l9579DbYLDQ3mvrunMnGoekZkTXZ8jWXz9hSGk1EaSCFWjJ/yNZZ3HiBZwyZkxURvgvldytdUSiSA0UQygnB2USS1DYVfWbZsGb/99htPPfUUV111FSNGjGDOnDn079+fZ5991tA2jh8/znPPPcdjjz2mvP/g4GBycnLqvP3AgQNERUUpb1cCQyF85Oqrr6S01MHevamG2kdHqGy9rM+jVDfzc1b7KreEWpw4PGbUMsGAxcKhwcayocI3OpTnkw7JbFwANDSCMROOhUisUtZH1NSEayUvWbKE0NBQxo0bV3mdpmlMnjyZffv2sWfPnga38fjjjzN48GDOP/984zsuN2jQIL788ssqYwsr5Obm8tlnnzFs2DDl7UpgKISP2O12IsLD+PiTLw21bxMKHWIhNkJtP9Wzhm0Di5jR5XciLIodgprG8Qn9JWvYhDQ0UghmG4VSvqaaBAKktqHwK7t37yY5ObnGcqjdu5dVeti1a1e99//qq69YtWoVjz/++Gnt//bbbyc1NZVp06bx008/AbBz504+/PBDJk+eTHFxMbfddpvydmWMoRA+FBQcSEamsfWaQ4PgxvN18otg7kINp6EI7WTW8NSxhqFWJ3cl/w7AO4sjSE3oZmzsjNXC0cHJJK5t+Jeu8I02WInByi6K6YWx0kStQQQWCnCzljzaEkAMVmyS2xB4uyh12bbS0mqOOQ8LCyMsLKzy75ycHDp27FijXXh4eOXtdcnKyuLpp5/m7rvvpm3btqd1pH379mXu3Lk88sgjzJo1C4A5c+ag6zpt2rRh7ty5JCer9wJJYCiEDwXYbKxYsR6Xy4XFYuzjZjWB061jfHygzprseM6JOkJtu0iN72z8xKlpHB2bQru1e1Q7ooUX9SKIH8kliQCC5ZUAypbKO5dIjlFKGqVsp5AeBJNgeDqJEMZNmTKlxnUzZsxg5syZVa7T6jm31nfb008/TUJCAtdff/3pHyQwevRoli5dyvLly9m7dy+6rtOxY0dGjRpFYKDKlKSTJDAUwoeefupBbv3TA0S06UVW+hZstobnJH7wk+peyrKGv2S1Y0zs0dM5zKrsNk4MSqbtOskaNpVAzHTBzlaKGIrxGpctnQWNROwkYicfF2vJx4GH3kpzckWLUlGY2pvbA9577z3i4+Or3HRqthDKlkOtLStYMRO4InNY3fLly1m0aBFvv/02BQUFVW5zOBzk5eURFBRUbzKhsLCQO+64g4svvpirrrqKMWPGMGbMmAYfnhGShxfCh6695jLysneg6zqPPDrH0H1iwkGtgETZRJQ2ttoLAYeWFCpsC9A0TAbXeha+04VAcnCRISt/1CoUC8MJ4zClbKBAxmS2Vj6qYxgfH09CQkKVS/XAMDk5mb179+Kpdr6sGFvYrVu3Wg959+7deDwepk6dypAhQyovAB9++CFDhgzht99+q/dhBwcHs3nz5oaendMiGUMhfMxkMvHcs48y48+PYrfbefJv99fbftII6BCns3C58a7kP7ddzWtp/QnxlNApsqhKz/GQI7tY2mOo4ePVCkuI3NPwii3Ctyxo9CaIzRQymnBMzbvanE8EYuYswtlDIT+QTWcC6YJdnivRKCZMmMCnn37K0qVLGT9+fOX1CxcupFOnTnWO77vgggvo2bNnjeunTZvG+eefz5QpUyonsNSnZ8+ep1X/sCESGDY3HoOlVDWFl1ZTmYeqkGRWSe9rCuOoapmaX/d2FR6b87ixdub4httU0MtWsrjzjquw2XRunz6b5b+tZPE3b9boJtCi+1T+v1809BsKx44X858P91MzgVf1OZh3bCBOrHyY3pNbEw8TE3yyrMfIYYcYibFK/Nv/drjsP2Ygov62B3KMl+o12hla6DH+nlEpKhyj0FalALFK8RSVlZAr3rUJ2EilhEOU0qmW4s4q+1fJO6rki1XOHr4YLWlCoxchJOBiMwXoaCTVUQgbjBeC9tVzoPKaqXTpqXSmV9+uynve7zRhgevRo0czbNgwHnnkEXJyckhISGDhwoWsW7eOefPmVbabOnUqq1evZufOnUBZNrJ6N3WFuLg4wyVmZs6cyYwZMxg9ejTDhw83fNwNkcBQiEZyy81/YPCgPpwzdgodu4zh4P5lNcocVNc2LpDH/tyLv76wrZ5WGs7yj7JLt7DxSAjju2Z5d6KeaBIaGn0JZgV5tMcms3DrEYaFHgSziQISCZCsofA5TdOYN28ezz//PC+88AJ5eXkkJyczd+5cxo4d6/P9f/HFF7Rr146bbrqJHj160LFjR+z2qj+KNE3jmWeeUdquBIZCNKL+/Xtx9OCvtIkbykvz3mXmjGkN3icvL09pHyvTIshz27i0a1qts5RF8xKBhXhs7KSYvgQ39eH4tSgsBGLiMKV0qCdrKFoQxaLUhranICQkhNmzZzN79uw628yfP9/QtioyikYtWLCg8v/bt29n+/btNdpIYChEMxASEsykiWN47vk3DAWG8+YfNrDVk9kRHQtb08PYmh7EPQP3SSjRAvQkiKXk0BE7oVK+pk4aGj0IYhX5HMNBNFYiy4PFAEw1sog5uDiOExsa4ZiJxIImmcbmpYnXSm5KO3bs8Ml2JTAUogm88PzDdOxyLus3bGXggN71Nz7tyZYWXtmYxL0hh053A8JP2DHRDhv7KSFFQv16RWBlDBFk4SQDJ2mUUowHJzoBmIjDTDhm0nFRjId2WMkHdlKMBY0eBEptRNGqSWAoRBPokNiOgQP7cM11f2HX9iX1tu2SFMK2PQX1tqlLkcdGQQGEhJzW3YWfyMPFURyMIqzhxgIbJuIJIP6UAM+DTjEedFzk4qYHgcRhrcwi6ugcx8kmCknDyTCCsUj2sHmQl8mrJDAUooks/HQeSV3O5dXXPuBPt11bZ7sBfSJPOzAEmOsZQXiemyHaAdrZi2hryW9OvSUC2EUxXQkkTE7Zp82ERjBmIjCTUMvtGhrx2IjGygYK+I4cBhNCHFYA3Ojk4MJc3u0sXc6isc2aNQtN03jyyScxm82Vy+DVR8YYCtGMJCTEc+ft13H3vc9ww7TJdQ6VT+4UyuN396r8e/FPh1mxIQdjP5M1nASSgcY3em86lOQwMWgnMWbFoteiyXjQKcFDrMxIbhQWNIYQSgYOVlNAGGZisLCfUsxoOPDQhyA6y+QW/2DS0Hyw8ok/WrBgAZqm8cQTT2A2m6tMPqmLBIZCNDP/euFR3nv/C86f+EeWffVAg+1dLhcrNuRxen0nGgf1MDYUxnKQKKYGrCNAhlL5tQycbKYQKxrx5Zkr0TjaYyMWK2k4OIGTgQTTFhtHcLCTYgkM/UUrmnxSfbKJTD5pDVyl4Grg5G8yOCNR5c2t0tbo/gG1WRMKbXWF0rNKhbMNlp517DW+TUv9pZVNJhM///g+A4Zcyp33vcu8F++ut/3PK/cb33elU19fM6tIBKy85xzIzZ12VWnZ41zjExtcPxQZbrsv31hQ0zbAeKngeIvx98yuQuOnuljDLSEm0PjxFpYYfy+W6pCOk3Xk059g2mOrtesy3/AW1Qo2q/CHOdIqxc5LDbYre740ogkgunysYjEQjpVsCtiHg7anURpa5R4qoadKoqv6R6f2xTSFv5k1axbXXHMN/fr1A2DNmjV06dKFqKgor+5H+iaEaGJ9+nTjrTfm8OobX+Jw1B+cRrdRWd+gLmVB2hFPBKVGvyVFoyrEzSryGUooCQTIeDY/Yi7vat5AATspQpc1mpuWj9ZK9kcLFizg4MGDlX9PmzaN5cuXe30/kjEUwg9Mue4SbrntYV5742tm3DG5znYpveNJ6R2PnvpVleu/Wmth/V71rq13D3Tj5m67Gm4oGtXR8mxUrHQf+6WY8pI4v5FHIR6GE4zZnyMK0SJERkaSmZlZ+beusjysAgkMhfATZ43ozWtvfFlvYFiXSYNdTBpcNnPZ44GXv7KTWWym/p+/Gkc8EXxxqAMT2x7061VS8oAVf/lD5TrZQfuPEqzBgK9/JaNHR9ruSG1R3R8ewCqBhl8LxMQ5hLGGApaSSzcCMQNx2OS1a0wmvDthxI9PJAMGDODll1/m6NGjhIWVla5asmQJBw4cqPM+mqYxffp0pf348VeBEK3Ls3+7jWGj7+Snnzdy7jn9T3s7u4+ZySw2YbRPZGNhW4Iy3IyPP3La+/S1NTMvB/vJ0VlFvTpRBCwPsFLYIR4uGMGwf36gND7Qn0lY0TxYMTGCUNIo5TAOXOispZCOBNAVO8F+MQJTtBQPP/wwDz30EPPnz0fXdTRNY/HixSxevLjO+0hgKEQzNmRID8aPHci10/7GkX2fYjKp/3T1eODXrVaMhxZl7VbmxHNu9BG/+7HsAn4dPwhXUO1jKws7ta+cPLXqz9dw8b8+bMSj8x0TZWVqhP/T0OiMvXKWcgFu9lDCYnJpg4XOBNAWm3Q1+4q3xwX68cuUkJDAu+++i8PhICMjg7Fjx/Lwww8zbtw4r+5HAkMh/Min7z9BbIfLufHWZ3nnjYeV778nzczx3NMIKDHzU0Z7xuJfy+dtH5VC6eCexhpbLJxAbVaxv9LQfDaLWPhWCGb6E0wfgjiMg12UsJpCgjHhATR0umGnB96YSCbQNO92JftxuZoKNpuNdu3aMXnyZPr160f79u29un1/SxAI0aqFhYXw+SdP8e4H3/P2/G+V7x8aqOP2GO9GPkljdU68UtkPX3MBR4c1EBRWO4mv+vM1vjugRlSWMRTNmQWNjgQwlnAuIoKhhHAWIYwilM0UUyqvsDhDf//73ytL13iTZAyF8DPnTxjK/Xdfzc13PMfwYb3p3i3R8H3bRnp47Oqqy+d9/W0+63LjaShYdGHm59hejD2x7XQO2+u2j0pBaUaMprWYrKEGUgalBQnAREB5HsYGtMXKVooZiPG6oaIOrajAdWORwNCfuIrBWX8SV7cYK0miacYL76I5jbf1qAymVkhIqxSiViparfDlavh8YLAQNoCu8NyeUvp2ztMzWfbLZs46dzrHUr/AZqtaFleL7Wt4q9FxayDX2PJ5q9t1Y3RKhqF4rNMx493OHRzGcpFhvUOAsmzhd516ndZJetXd1/AYP1S5rs1/jtZoVwh8OuVqzB4PuN1c8fH/CASWphnv4gsuNv5e7KRQDLtNsUYxEN1AO5UTeLZCW1+Vt1TpovJV9tponk7lOVDpFHYBAwhmKXnYKK63S1kpp6hwqqv+vpFAQJxKupKF8FM/LX4Rj65zxbWPntF2hnUoICnc2ColLsz8XJh0RvtTVQq8O/J83h95fuWX8feRPdV+AFTQNDCVZQ0b8tU1V6CHBOMKC8UVGcF3l19ceZsOpMdHcvChK8lVP4ozpiFdyS1ZACbOIZTdlLBf1h05M62owHVjkcBQCD9lt9t5+IFp/Lhs/Rlvq2240fyHhruRz4yLho4hq00sGW1i+TR+OC5gbUTyGXXpvEr9s/QKgeLyOmAVcqKjqeiEd8WEUfzHcRBgJfeByxu9U9eFLrXwWrhgzIwmjE0UsVeCw9Nn0rx/aeUkgyyEH/vTzZfywMPz2Lv3CF26nP7Ms/O65XJet7Lc17E8G2+vi6+9oVunT2D6ae9HVSlwKO7k49ofFM+iiB6nly2soGlYqL/b9qtrrqj1fp/ePA3zT1tx92h3cnyj3cahmDA6pOed/jEpKsJDoPxub/HCMDOWcH4mj0xc9DzlVdeBIEyYgBJ0ivBQXO1ShIckAkjChkl+SAgvkcBQCD8WFhaC2Wxi5+4DZxQYnqptmIOHxhys9TZ9S+3X+8qioWNqXLclrItCtlDHVksQOI11dd6jMltYvg+3243JZEIrn7ziHpdSdf+aBredT87C1YRuTUWnbMapLx3DSS8pZ9IqhGLmPMLZRBE/UfXHh4Ze+U4LxoQdE0GYCEQjDDPRWNlDCespoid2emBvfZnmVlTHsLFIYCiEH/v51w3ous4F5w1v6kPxuspsYbUgzGMxvj5wiLuAu1FbRP7UbKHb7ea7774jIjKSEcOHlwWHtQWlFgu5lw5h6Yl9FKdncjUxPgsOM3QXubhpJ+sktxpWTAwihEHVrg/AgxvqzR53IYAsXGylmAVk048gkgmQgtritElgKIQfe+Otr0hMiDutVVD8XW3ZQlWjSVVqXz1baDKZiIiMZPPmzQAng8NqdF1nxdq1bDYXMig0jCN3XIGWU0Sn177FWJ0AY3Rd5yd3IYMIli92gc3gcIIoLIwmlAxcrKeIbRQzlGDaY2v4zs2dlKvxOgkMhfBjP/28gTGjBzb1YXhdrdnCCpoGus79+xbiMNtZED+k9o3YTXQlQ2m/X199ebVdaYwYXpaNrSs41HWdFStXsnnzZvr27cugYcPQzGYIDGD/DWPp+fZSpWOojw4U6x4iZY1dcRqisXAeYRzBwUoKiaWUwQS37PGqrXDlE1+TwNCf6DroDRSp8Biri6drxk8EmkJb3CrVxVTqGCp8GFXOcSqPrYEJC5U8CnUMTcbKxJS1rfrr/uChNA4dPsEtN02ucRtmhTxVu06Gm2rHjU88CZkUY/wYAqq+Du8Xp9Rfd02D/6Wcy5ROu7mRfbW3aRsLGHtsHfpHlW12SwDVBxFpmsaIEdWCwxFlwWH1oLDi+kpJscQEuHHGRRJ6PLveHN9+gzUPYwlmNcWMJLTBtiqdzb4qpewPIYcv6i4GKLRVqBqrlMNTONNUeR1isHEBVjZTxGfk0BU7/QlEK3+HVv/il9JI4lT+8JkWQlRz8eR7SEq+mE6d2jFq1ICmPhyvi9YKqH+Ut0ZMgEJQbVB8QGHteysPDvv27cvmzZtZsWJlWVC4op6gsNzPN1/Eiqnns2VIz8ovWDewb3gvpYChQkcCSMOBW1Y+EWfAisZAgplEBEdxsF8pzGxGpI6h10nGUAg/k5OTx9ff/MpVV4zj4/efberD8Ynz7Ps4r5ZMoNYprJbW3uF2w97SiDpvr545rMge1hcUomkQEwnA0TEDiM3KI27vEQ4P6Mres1IwlzpJ2rBb6ThtmAjFTBYuYmQCijhDQZgYTgg/kkcHbD6fUS+aP8kYCuFnIiLCeOe/T/Dp/5byzbdqM25F3VaeiIUGxu6dGhxWqDMorM5kYttZfXACqcN6g1b27+lkDWOxko7KcopC1K0NFqKxkOqzxQ6bUMXkE29eWjkJDIXwQ9dfN5Ho6Ah+W7GpqQ+lRXC74YfMBBrqJ6roPj5VRbeyEY62bdh53hCcgQFYikpxBgZweEBX5eNNxMZuSsg/rbBSiJraYeOEz1agFi2JBIZC+Cl7gI3cvNrHxAk163NiaChbWH1M4W233VpjzGGDTCaOpHRBc5fVn3ObNXZMGEKO4vG2wUp3AtmAvP7COxzoLXPsmCyJ53USGArhp+x2G4cOpzX1YbQIkbZS6ssW1jXRpLYJKQ0ym9HRcQfZypbVM5lYdd81ysFhV+zk4iZXsjziDBXiZhclJCnNtW4mNLzcldzUD6jpSWAohJ+aeecf+PzLn7np1r819aE0e8mheczus7rycmuXLdg0NzbNjRUXK1asqHX28WkFh5qGO8B2cq1lAIuFY/dPVj7uUExkSmAoztAhHLTFSpxMZhIGtMjMshAtwczp19ClcyKXXXUf9gArL8+d1dSH1GK0DSziod7r0HWdF75KZfuWbPr27VfrRJP66hzWyVzLb+7AALKAKAPHd4hS1lNIOGbi5ctcnCEzWsstfqSZwJsrQynVvm2ZJDBsbtzer0WlcsIwNDvzZGMftVX44OoqH3Kjq00ovAYqxbBrMfH8Icx++CaemfMOL/3z7pNL46kUMA+MNtxWT0wwvl2LwnNrN9iFFR1b4ypdh7Q8C/Fhrqpvk6Ag4/uPa1/r1S6nm70L0unZJ7HeYK8sOBxGSICbgvwMPB4PZrNZsdtJ4/hDVzDmtfcbbPl5ViHDCCW6PCj0xlxSlQLXKp8aXxVHVjkGldDZ6HYDFbapQuX5UskV1zeHPRgrqygiHifRWGs8thKF/YiWT0JjIfzcQ/ddj47Ojbc+1dSH0uh0HbYeCeDbTaGcyPP+MnFWq5lRo8cbKkmjaSauvXgg999yTllQWK86fm7ZrGRRtmbz/266qnJqiQ5kx0ShUzbe0YFOlPxuF14SgpkhhLCSAvSWljuUcjVeJ2ceIfycxWLhsw+eZtLlD3DpxedwxWXnNvUhNZoTeWa+3BCMEwtv/xrOXyZkYVNZU6wBDgfsPhZQS1CoAzpXDyuke7uauZhxfbPKWq3bVuX6khJ47sRI6kslLr7turKuZouFL++4Hkt+AT1WbGDH2LMY9enX7D5+nHDMmGQUvPCieKyYgFzcBLWkr36Tl7uSvbmtZkqeASGagYkXnMUtN13MdTc8wYkTWU19OI1C12HZriCc5V9iJR4Lb/8ahsGSgoZ8vrKuWzTAxK877XgU+v4+zO5TfwNNA5v15MQUiwVXZARbLhiNI8DGi3278JXuZiS+WwFGtE4aGjFYyZDC6aIBEhgK0Uy89tKDxMdFccW1jzT1oTSKE3lmdqZVHZt4rDCAo1ne6VJ2OGD7IQv1ZfeO5JjZnWZ8BFu0pbDe7dXJZOLAgQN4dJ1+d91GgJyahQ+0wdLyZrlrJu9fWjl5BoRoRt5/6wmWr9jM1h2HmvpQfKoiW6jXCLI0PlrtnazhF6uMtFLLGk6K2U8f+7H6G9UyhunAwYOkHTtGz549MVmtqK2uLIQxMVg5jpNin00ZEi2BBIZCNCMjz0ohpU8Xxl/8JGnHc5r6cHzmZLawZhBV4LLw8W/BuM9wtbiYcGrdfnVHFbOGk2P3Miz4oOH2brebA6mpDBg4kICA8gzpI1dJh5/wulDMJGJjB8VNfSjeIwWuvU4CQyGamaXf/pvQ0EA69rmTRYvXN/XheJ2uw8+1ZgsraOzMCmbt3jMbQD86BcLsDYdfZpPOqr1qYw3Pa3OQW+I2YMNdeakrzZmTm0tISAj2iqBQ08BiIXXiIOM7FMKgcCyUtqSZyRWTT7x5aeXkGRCimYmKCmPX+n9xzZUjmfSHOfz5wTeb+pC8Kj3fzK40Gw39dP9+g+2Ms4ZXnwsNlWMMtEFGvpk9x9UKTbcNKOTBDit4sMMK/hS2otY2hYWFpO7fT0xMTM0bB3eVrKHwOisarpYUGAqva0Fz1lsApwMcDbwkJu/XclPiDzWefDU42OhmVZ4DT4HC/kOMt7WE89brD3P+hBHccNv/471PlvP63L8w+ZKRNdsGKBTZjutsvG14pPG2pQZL6IZGU1Tqxki858bMir2hjBpgoBSxp/YQq208PDyt7P/HMj28/W3NtGCp21J+aOEQVvVNog0w9gX7ypc1Zxk7XS7Wb9hAp44dade+9gLcqRMHMXLRujq3q1I+XaXKj8qKunkKbVU+ub7KWhgNts/wN0edVIqVq/wwMPqamdHwoFcpCt68AwFv1x70g++4Jta83w9CtHLX/mEMF08cxg23/T+uuO5JundN4NP3HqN3r6SmPrQzoGF0PZ6lG2BEittAwemGtW1j4qEppjq7fM9EqN1NVmHVjGNRYSFBgYEkJNSx2oymlWUNF62TRfGE11jRcErGUNRDupKFaOZCQoL47P3Z7N38JmaziaGjZ1JU1HwXuWoTrmFT+Mm6crP3l4n0thkTCnks+yuuzVtJRdDrcDqxGajWvUXGGgovsrS0wFDGGHqdPANCtBCdOrVl0+pXCA6yc94lDzf14Zy20CCNP0403p3zw/qymb3NQbI7g8eyv2ZY0S4sFgvFxcV46stQahpFMtZQeFGLyxjKknheJ4GhEC2IyWTi+6+eZcWqbcx77YumPpzTdjxD7Ytr1Rb/zxqe6rzSXVxrOYDVauHwoYZrUm65ULKGwjtaXMZQeJ2MMRSihUnp25mH77+Wu+57GZvNyi3XDm6yY/F4YOtBE73j1Hpovl6jtp+dB+Gsfmr3aWqRnmJ69OzPhg0bsNvtxMbG1t5Q0yga0Am+qXsSihC1ycHF9+QQjgUdcKPjRi//q4UwaV5eK1kyhhIYCtECPTn7BkpLHfxp5r94Z343fvrqEUxNMHZm+0ETX66yYhpooXcHY0txlZa6cSj2nR5OB4fDYWjMnr9IdmcQZoK+ffuy6fffsVqtREbWMdM7vwUVJBaNJhgTAZhwozOcUMxomIFomXkr6iFdyUK0UP94+lY2/DaPNRv28eeH5jf6/j0e+G69BZdH47vNgXUWiHa54P0f7fztfyF8sczNxz+p70sHvvi1+S3zNbF0K6EhIfTq3Zut27bhqm2spK5DqIGSPEJUY8XERCIJwMRhHIRiJggztpb01S9jDL1OMob+xFEKpQ18YK0+eMkUynModUAobFdTOVH5bJFzoycEhROHSWHsmw9qHqb0S+H5Z//IjHtf55FZ1xEfV3/tQS0k3vAh6HXUBqywfZ+bgvKibQWlFrbntKF355rV1n5e42BPdllAtDG17u2F2KGgnsnWISEBFDotzP0gn+BAuO2qqJNLzOnGspVlbY1PZNFDFDJ5/SJqXJVCMSn8yl+yuqBpGrqu16zWo2ngdhMXXvO9lJprPEMaEWT8OSgsMV7+x+Qx/nlQqeGnQuUngdFnwVc1IlWS4d55XBpDCGUZudgx0RE79movWYDEQuIUEhgK0cLdceuF/L8XP+ec8x5mx4aXGqVL2ePx8F21cYLfrfTQs6Onyv5dLhe/bjYWiHVLNDHp7ADe+KKYIxk1b9dw8sK7JXh0KM2Hf72XRYd4C1dMiMBq8d9vvox8BwlpS7lnQhwd2qwEYOs9e5v4qERLYsfEWYTxM7kEYSahJVXG1EzeTRb4LPHQfMgzIEQr8MviZzialsXQc+7D4fD9DN7tqXqN7F5BCWxPrZov+XmD8ZzIht0e8vNrDwoBVm1x4zkl01ZcCjsPuPh2uUImtpG5PTqfrTvBuT0i6dDG3tSHI1qwUMwMJZQ15JOrkBX3e5pWPgHFSxfpSpbAUIjWoF3bKH5f8U/27j9OaPx13DvrTVwuhe5VBbVlCyt8t9KDp3ywoUq2EMp6V1/9XP14Nmwvwen0z0qAa1PzCLKZGZQU2tSHIlqBGKz0IYgl5FGsN78xuaJxSGAoRCvRpXNbMg/NZ/asq3n5P98Q1vY6nprzcWWg5i07DtTMFlYoKIEd5VlDlWxhhaLTSHbqwLfL/W9Wb1Gpm1925XB+nzZokqUQjSQJO+2xshX/+0ycloquZG9eWjl5BoRoRUwmE4/cfxUFxz9k+q0X8uScj4lMuJ65r3zttX1sSW3g9v0e5WwhwJkME1y/o5S3P89slG50o5btyqZn22Biwxq3xE4JsGzaRTTfRRPFmYrBQpHS1BbRmkhgKEQrZDKZeO6Zm8hPe5+rrxjF3Q++QUzSNN79+Lcz3nZSAxObk+It/PK7+peS6wxr8qYe87Dwx6Iz24iXlDjd/H6wgDE96p8lXut9ga+um8T/bvsD6++6GNVHtO7qCRTERbHu6gnK+xYtgx0TpS2lyHVFgWuvXSR7L7OShWjFbDYbr/37Tp7/+43cMv0lbpj+Og/97RPe/PfNTBjT57S2OaynmWE9q11prpoV27THBTT+APgd+51+UQhbQ0MHrGb1L6GfrjwPR2ybsj+CYMcjV9Ht6U8wUsCoBMhJjIPyf0sAmfLS+tgxUdxSMoberj0owzokYyiEgJCQID58+36O73iRvr0SOP+q/+PWP//XZ/tLSbYw+4+BVS49k3y2u0o6+EXWMMBqom24jX0ZauO8SoCi9tVSshYLu+6aZOj+1bOEkjVsnexolLSUjKHwOskYNjdGx0hZFD70Km1VKBS4brG/0pQGMitk0FR+7JtjDDeNjnfzzYInWPDlKq656XmW/rqT5UuerrUwthbazvgxmGoWtq7OpR0GAyPfbruuE23jAkEz89nXqWzZmW/8OCib/OIwhdSdNSzJMr4xj/HXTIsLrvJ3v34xbDhSQI9+NddI7jUuuMZ1AC93HF37xiNCWG93c+EpV5UAq2+cyNC3FmEHijxaWbaw4rOmlf1d5NHOKGsYYjH+ZvS4jH8eChWOwRfrwqiE7L76IlWpG6CW5TFRgIdiXUdDo7Q5x4gVXcDe3F4rJ8+AEKKGyRcP49D2VzGbTbTvfiuDz7mfd97/yeszmE81tF/D4+2mXJZYFhRSVhYnv9CNaq+wrsPCxSdO5xC9qm/HMA6lF5NdYOzHXgmQGRJd+48oTYN7rq5y1fprx1MYF8X6a8dX/l2buq4XLZcFDTMaTskailpIxlAIUavYmAh2bZjLF4vW8Ny/FnLzjHncMmMeky4YxMfv3Ov1k0dyUjCP393LcPvd+wtIzygxnESHk6vN7dhb2ORjDa0WE/07h7NmVw7nDayZNazuzbqyhRUsFr4BLqQsiMwtH0uYmxhHTsXf1YNKTSNXxhq2ShXdyU072tYbvF2UuoX2XimQjKEQol6XTBzCL989TWnGh7z6r9v5/qdNtO16C9t3HWvS4woLsVBcqpbBrMiP6Dp8vqTps4ZDukWwcV8uTlf9j6PebOGp7r2Gb6iZBVx115X13m3DNeMMHK1oSQIwUdoSJqBIHUOvk2dACGGIyWTipqljSdvzBl06xdN31GP8+7Xvm+x42sYFMW5k3GnfPzaq4XGPvhYZYiMhOpDNqXn1tnu74zkNb0zTwGKBe6+pmh3UNDz2gLqDSk0jJD1H7cBFsycTUERdpCtZCKEkKMjOyqXP8ren3+Evj37I599uZNGHf8Fma/zTSUqvSFZtyCC/sO5JICHBZtpElHWYXXFhO0JD/Ou0N7RbBN9vzGBAl/A6V0BJt0ca7y6z1P74wg+mcdYHTRfIC/9ix0RJS8gYVqxx7M3ttXL+dYYUQjQbs++/hIkTUhg3+Tna9rqHBe9M55yzujfqMYSGWLnnTwbGJXr8Z8WT6rq0DeabdSc4cKKYjnFBtbaJKckl3Rp9+js5ZSzhjwD3XgP/92GVWcyidQloKYGh8DrpShZCnLbB/TtyfPsLDEjpwLmX/oNuQ2fx3NxvKCoqbepDazY0TWN8/xg+W36UbQfz2XuskFxn1Qzon1J/4s/bvyKsVKWIS00brhlXNnvZYqkxi1m0Lna0lrH6iaZ5eYyhZAwlMBRCnBG73cb3/7uPnSufoXPHWP76jy8JSbqTzgMf5IEnPuZEev3j5wT0TAzlkmHxrNqZza/bMnltfzZv7M9mY04xenk90FBXCXft+oZHN38KJfXXe3S73ZX3q6Rp5KTnnOxqLp/FrOs6LpWao6JFsGMiExeplHIM/82oi8YnXcnNTanBTIyneZ3odYVfaS3295zJqtBWofyuW+Gkb41SaFt1BY6uKT349uuykipr1+3g//71Af99fwXPzf2OTkmx/O+9B+if0qn+bZoUimdYG1iU+VTONONtbU7jbQNCjbeNrf94u8ZC1wFl/3cPPcD+E0Us2ZTJ8ZhALhxQtUj5bH4H4G/LTkD0pCpZDrfbzXfffUdEZCQjhg1Dc7vBagWnE/p3rbId/e4/8Mnzr3LE4+I+exTW8u3klZgNP6xDHuOfyE5W412XbqfxvIXKNCJfTDlS2aZK561KW5VjcAIRWAjCzH4clJWIb6aFa2SModdJxlAI4XWDB/Xgg3f+SsaRb0jd8Slt4yMZePb9XDn1OXJyCpr68Pye2aQRGWwlPMjCocx6soMRF9S4ymQyEREZyebNm1mxahW6uTzIs1jKLuXBnw6sWLuW950FtDdZJEvQyoRgZjghjCKUYSj8wPE3Uq7G6+QZEEL4VFJSW5YveYaFHzzIz79uo03HGznn/EfZuGl/Ux+aX9J1nR82Z/LG0sMkRNmZdk49Sw+63TXGRGmaxojhw+nbt29ZcLhyZY1uZV3XWbFyJZu3bKHvmLOZagurc0a0EKJ1kcBQCNEoLpk4hBP73+TzDx8iK7uAgWffR8c+t/Pm/KVNfWh+Ze/hPHYcLWD6+R04p1cUdlvd3bqP5i8p6yKupkpwuGVLWXBYfltlULh5M3379mXEWWexUIJC0Vxp2snuZG9c5LMggaEQonFNumAwW1b/k72/z6Nv7yRuvetlojveyBeL1jT1ofmF9OwSOscGEWw31rlrc9c+JrKuzGGVoHD48LJM4YxrvfkQhBDNmAwrEUI0iU4d4/jyo1kUFBQz9dYXuezaOfTplcTjs65l8iXDMZla5+/WQLuZo466C3ZX90D+D5TPHqi0GFgdPakyOATYvHkzmzdvBqgaFEJZl7QQzZG3xwXKGEPJGAohmlZISCALPniQ7Wv/hc1m4Zob5mCLnEzPgXfw4GNvcfRYZlMfYqPRdZ1Sh4fcItcZbWf1KZNSTg0OK4wYPrxsdn9ueURpsSCVJ0WzJHUMvU4CQyGEX+jetT1rf3mB0uwFfPHRo3Tv2p7/vPUd7bveSGzHKXzx9aqmPkSfyswp4Y3Pd7J2ezoX9j+DVU6gyqSUiu7jU1VOSAkLKbvCYmHRzOvIOrO9CtHqFBYW8tRTTzFq1ChSUlK4/PLL+eGHHxq83yeffMLtt9/OmDFjSElJ4bzzzuOpp54iK6vpP4XSlexPiouhqIHKVUa7fALsxvfrUqjbFhhovK2uUIVL4VearpDq11R++xg9BpXHZVapRKZSe1Kh5qGmsF1XjvG2lgjjbY3WHPQUYDLDxAtHMvHCkQCkHc9ixj0vcdk1T3PRBUP58tO/lbV1HPbNsVqM133UAmMablROj6i7TM/R4/m89/1uzh3aicF949EOGpuxbTqr9vfXbDbg8cCTewezYuXaKmMKK8YYAmV1Dive9xYLy2Zex+3rPiN0vfEVVoJzjFfQO+ow/nlUyWCGKiR5Qg3WUgxT+Ohmu5pPzUWoefZo1oGA5uUJI4rbmjFjBtu2beO+++4jISGBBQsWMGPGDF555RVGjx5d5/1efPFFhg0bxj333ENcXBx79uzhpZdeYunSpSxcuJCwsLAzfSSnrVm/H4QQLV98XBSfvvcYq9Zs5+wJ9zH56idY8NETTX1YXlPqcPHJtzuYOLozvbsaDzQbsrMgnBUr1rB585YqYwpPHXMIVB1raLHwysDJTFv/rteOQ4iWatmyZfz222/MnTuXCRMmADB8+HAOHTrEs88+W29guHDhQtq0aVP599ChQ0lOTmbq1Kl8/vnnTJ061efHXxfpShZCNAvDhvTkx2/+wZffrOLiK2fj8ahkY/2Trut8/v1uOidGeDUo1HWdVxbvOxkUjjgZ/DVY59Bi5efkzkqrbgjRZJqwwPWSJUsIDQ1l3LhxJw9H05g8eTL79u1jz549dd731KCwQt++fQFIS1NYqckHJDAUQjQbI0f0Ztl3/48fftpIl5Q7yMrKb/hOfuznNYfIK3Bw4TldvLZNXdd54ZsDLNuwl759e1cJCivUGxxqGqnjzuFIUqLXjkkI39F8cDFm9+7dJCcn16ig0L17dwB27dql9EhWlo8F7tq1awMtfUu6koUQzcrIEb05uGM+g0dNJ6H7LTx07+U8fN8VWCzN63S2dXc667akcesf+mGxeO83usutsz+9mGkjY7n7Qg1NK/uycb57EIDnUy6i1B5cpVs5Jzsbj8eDuWL5PJOJH1N6c/2BQ5I9EK1SbVm7sLCwKmP/cnJy6NixY4124eHhlbcblZOTw1NPPUXHjh2ZOHGi8vF6U/M6kwohBBAdHc6+La8w/Z7XePb5//HUPz7hjlsu4F//uKWpD82QjKwivv5pL9Mu60NoiHenGFgtJp6f0h2LWat1mbtSS0DlAPuK4LBKUFihXTxHkhJJPHDIq8cnhFf5qI7hlClTatw0Y8YMZs6cWbV5PZNVjC4zWVxczPTp08nNzeXdd9/FZrMpHLD3SWAohGiWTCYTL//zdl56/jZeenUR98x6k207DvHdwsf9tji2w+Fm0bK9bNuTweihHYiPCfHJfqz1ZCDjCrM5HhFb+bemaTWDQpCsoWjV3nvvPeLjq1ZTqD5TOCIiotasYG5uLnAyc1ifkpIS7rjjDrZt28Ybb7xBjx49Tv+gvUQ+70KIZs1kMjHzjkms+fk5flu5k8jEqTz/78/9bnJKVk4xb3z6O7quc+/NQxk5KKFJjuOPO39k1qqPal1juYbyrKEQfkvjZMkar1zKNhsfH09CQkKVS/XAMDk5mb1799Y411SMLezWrVu9h15aWsqdd97Jxo0befXVVxk4cKDXnpYzIYGhEKJF6J/SmcyD73D15SOZ9cS7BMVczWXX/J3de4429aEB8Om3O+nXI5bLJnQjwOYHnTVG6nGaTKxN6S0zlIWoxYQJE8jLy2Pp0qVVrl+4cCGdOnUiOTm5zvs6HA7uvPNO1q5dy7x58xg6dKivD9cwPzg7iUpFhVDYwK/42rp8aqMrFDX2+Gid1ACFY/DR+pQqJaMNz0UzK2xV5XVQoVJk26RQDFulrTvXeFsMvm9VaDVPX/ZAC6/NvYtXXpzBvNcW8cLchXQbMJ2kxFjee/MhRo7o3fB2rVHeP1Yg32GlbWISpuCaZSqq06MMPrcKBectf6j6Ob+2aDcfZPSp4wBO/je/fTzOm1Lo5jlRa9MO6cYLgi97q9hwW2MlvsscVfiYJZuMNQ4JVDgvFhr/Ks1UKIadY/wIlFQ/WuOvoD/y8hhDhXzZ6NGjGTZsGI888gg5OTkkJCSwcOFC1q1bx7x58yrbTZ06ldWrV7Nz587K6+666y5+/fVXpk+fTlBQEBs3bqy8LSoqig4dOnjl0ZwOyRgKIVock8nEjNsnsXfLf9i3+XW6dG7H2RPu5bG/vd1kx3TpeX1Y8O1m1mw82GTHcKrkoBz+0m41FhpYl1mDUIwHdEI0rqYrV6NpGvPmzeOiiy7ihRde4NZbb2Xnzp3MnTuXsWPH1nvfH3/8EYCXXnqJq6++usrl1KCyKUjGUAjRonXqFM8Pi+bw2n8XcftdLzJiaA8mXjCs0Y+ja+cYbvrDEF5/fyU9u8YREuyrBc+MC7U4mNVhZc0btuc1/sEI0QyFhIQwe/ZsZs+eXWeb+fPn17ju1Oyhv5GMoRCiVbjtjxMZPrQHT875oMmOISoymLiYUE5k1L1ushBCQROufNJSyTMghGg1Ro3ozb79x5ps/yUlTg4fy6GouKTJjkEIIeojgaEQotWYMHYQmVlN002anVPEfz9ajcetk5ffvIf7C+E3vFqqRqss/t6ayRhDIUSrMfrsPrjdHjZt3kdK384+319xcSmZWQUcP5HD0sUrOWdYFzQNdu1LZ/igJL8txC1Es6FpXl75RAJDOSsJIVoNm81Grx4duOiKx0g7nuXTfaUeOMG/X/2Gb5asZ1/qca65dADDBiYxsG8CTpeHb3/cge6rckZCCHGaJDAUQrQqS756lkC7jcRu1zPvtS98tp/tOw8zfEhXbr1xAldNPovEdpEAWCxmrr10AAeOZPPrapVqfUKImkw+uLRu0pXc3JSUGmtna8FrFaik+hUyMkZbakrrQCi0dTezLgxNoWi1ZvDZVSrcrbDQvKeo8r/t4gLZtfElHn5iPjPvncc77y1m8edPEBYWVH4MCjX7zHWvdRwVHVuWlaxoYzvZ1m6D668Zzdw3fmTw4B4EBlZ7LCFVl96qk8Kyf1pSjOG2mBW+HHcbH7PZt4fxouiFO4y/viqfyKwSY+/bjoEN1Hc8hUWh6H2A8c0qlYVX+DTUCH0kFBKnkveDEKJVeuaJqWxa+U8OHEonrsuNvPbmd17dfrfk9uzcdRi3u/YVNEJD7CS0jeDA4Uyv7leIVkUmn3idBIZCiFard88OHNn1BjdcO4Y7736NNh2m8sXXq72y7cjIUEJDAzmWVvdYxk4dotl3IKPyb13XOZbu9NlKikK0OFLH0OvkGRBCtGomk4lXXryDnMPvMnZ0CpOv/TvvfbTMK9sOsNlwu+vu6OzZrS1bdxxl4aINHD+Ry/Z9xazYmE9GnmQthBBNQ8YYCiEEEBISyCfz7+fB2e8w9ZZ/kpdXxB23Xnja23O53KRn5BAZUfc4xDZRIcy4eQxrNqby8tvLOZBmYeigbmy3m4kOc0mvlhAN0DQNzYsfFG9uq7mSjKEQQpxizpM38MQj1zD9ntc494JHKCo6vVVKtu84SFxsJGFhwfW2Cwy0cfbwrgwaNIz8gmL27T9GZp4mWUMhRJOQwFAIIaqZ/dDVrF72HFu2HyS24w18s3i90v1zcgr4dslaxp7b31D79CwnW/Zko+EmMakDHl1n+yGzjDUUokEa3i1VIz/IJDAUQohaDB6YzIn9b3PxxCFcdMWTXHX9P3C5Gq41kp6ew4ef/sTIEb3okBjbYHtd11m7pQiL2Qp40HU4lmUiPUeyhkKIxieBoRBC1MFkMvHBW/fx3cLH+WbJeuI63cjWbQdrbZuTU8A3363hzfmLGdAvmRHDehnaR3qWkwNpDsJD7YSGhrJ333GyC0zkFUvWUIgGSbkar5PJJ82Ny2ApV92hsE2Fiqsup/G2ddRvq5XKt5/Kdm0KZV8NFlfWFTapdorxg99pKqUalIpRGz3VqDxjCu8DS4Txtqaak0UmXNCejKPjGHv+nfQ/625e+tcDdExqR3HBUXRdJz0jj+ycAvr2TmL6bRMIDrYDJVWrplvsNbar6zprtxfgcOoEWE2EhMaQdiKTNjHxpGVbsdsh0xlOTGTtr4vuUfjs5hsvRE1EgPG2bYx/IExW469vx3Dj57DUXOPHEGo19r51enwTIKh86YYqtFU5e1R/Bpr3cgjeLjHjB+fhJiaBoRBCGGC32/lt2X+54uoHuGPms8x5ZiZjRyVhMmmk9OlIUocYzGaVtSogI9tJdq4Tp1OnsMhJgD2YwsKyjKTTDem5ZaukCCFEY5HQWAghFHz20T8YPqwv733wLQP7d6F/Smc6d4pXDgoB7DYTTqeHNpFWAu0mQkKCcTgcOB2laBqEBGoEB/rgQQjRUkhXstdJYCiEEIpGjuhHWtqZL2UXGmLhxivbM2lMDFHhNgICzMREh+F25WO3Ql6Bzu5DzbujTwjRvEhgKIQQigb0705OTr5XtqXrOpt35pGR7cBsgrDQUAoLCjGbweWGlVsceDwSHApRO2+Wqqm4tG7yDAghhKKhg3tRUqowwaseGdlO9h0uocThodSpo2MjM7uEohJwuOBEtkeyhkLURbqSvU4CQyGEUBQaWv9qJirsNhNul47bBR532SSX4uJidL1sAr7LBWFBXtudEELUS2YlCyGEIpPJe7+pQ0Ms/Om6xMq/S0sTef5fe7j7ehu7D2v07mz26v6EaFE0zbvlaiRjKIGhX3G4oLSBN2WJwbplZoUPiqZQD86t0KWlUm9QZQxVQM16cF5hdFapy/jsU5XaxNoZVSLzEpV6kiar8bZGT9yawsxepdqXBcbbmhtercRiLf8cqtQRNPh8BQRaSYiP4IeV6exJC8dmtdM9yQtffCqfG5XPblix4abhScaPIe2Q8e2GmYy/F9qEGKvFWlCq8DnXjQcTKq+kSl5aZbu51f6WgQriVPIzVAghFNlsZb+pfTUppFOHSL5fmY5Hl8knQtRPJp94m2QMm5HFGzOYtySTY9mleBrMliikw32VOVdJyTentkpdDfW3NZk02saGcef1KZw/pq/CdkVTCgoKQtM0Nm05QP+UTl7ffm5RAFk5pfTtBTnlJWu8kjUUoqXx9oQR6UqWwLC5WLwxg+e/L+Iff/8/enbrgtXaQLeUr97bJl8FZQpfeirjrXzRVunEUf82nU4n23fs5oEHZ6GZbJw3urvCtkVTCg4O5LdVO70eGHo8Hram6ugeByaTCZvFw8otDrommmSsoRDC5+Qs00zM+yGbfzz7NCm9ezQcFIpmw2q1ktK3F/+Y83demr+uqQ9HKIhuE8nGzale3+7u/YVgCqK4qJDcvAICrCezhkKIajST9y+tnDwDzcSx7BJ6duvS1IchfKRnj64cO5HX1IchFCQmxLNz11GvbtPj8bBiQzahwTb69e3Obys3kptXgM2iy1hDIUSjkK7kZsLj0csyhR6Vea7+b+eeVN7+YCGr123mREYmJs1E2/gYBvXvzeUXT2Bgv94ATP3TAwDMf/UfXj+Gw0fTGH/RVJ752/1cfukFXt++EVarFU8Le21bum7dkli69FevbnN3aiGZ2Q6sJrDYY2jfARb/uJEeXTvQPiFRxhoKUZ2MMfQ6CQxFk/l44bf8bc48unTqwE1TLqdLp0R0XWf33gN88c1SrrvlPlYs+YjIiDCfHkdsdBQfvv0vOnRI8Ol+RMvSv19PPv5kkVe3GRZsxen04Cz/jRAbE0NoSAhbtm4nPauAayf09+r+hBCiOgkMRZNYv2kbf53zEmNGDeOFvz+E1WqrvG3E0AFMu/Yy/vflEiwWhbp2p8lms9E/pZfaRJV6OBwObDZbww1FszZ8WAqFRaVe3WbbODsP3dkNCo6ccm0ITmcU7y9cz+r1O7n0/N4yCUWIShreHRUnGUMJDP1JqQtK6nhT6pQV9DVa1FepV1Lhg6BUALnum15982NMmonHH7gTq8lca4Hryy8aV/afU2/zeACd0lIHz897ixWrN3Lk2HGsFivJnROZfssURgztf8rxeigtdfDaWx+zaPEyDh9NIzgoiF7du3DfXX+kV49kDh89zvhLbuSZJ+7j8kvOq7zrht+3Me/1d9m4aTsOp5MeXTsz845pjBo5tLLNv19+m5denc9nH7zMv19+mzXrNtG7Z1fe+c//cfDQUV74939Zu34TObn5RISH0r1bFx6bdRdJHdrXfFJ00N3G1t9VOnVpxgr6lrVVOMEqFPXFY7CtSmF2JQoFmzH2fPXv1wVd11m/6RAD+yc3fAddYXyguWohaKsZrr18BJ98uYH3Fm7h4vP6EBEeBBaFotUqP1ZKSww31eKMl2E2DYsw3DZ2j/EC15rCe9xj8NNjNRs/1zkV6pzbLMbfB26jnxtFkbqGW9fJxU0GLlJxo1ZO249IV7LXSWDYSum6TlpGDvHREWiN/EFwu92sXreJ3j2TiWkTeVrbcDid5OcXcusNVxEb04aSklJ+WLaSP854hDf+/RRnDRsAgMvl5uaZj/D75h3cdP0VDBnQB4fDybrft5J2IoNePWr/Qv91xVru+PNshgxO4enH7yUgwMYnCxbxp7se5dV/P8OoswZXaT/znieYfMl53DDlctzlq8PcNuNhgoODePiBGURHR5KZlcOatb9TUFh4Wo9Z+BeLxUJiQgz/mvcFb792j8/3Z7NZuOayQSxfvY/X3l3O+LN7MKCznMJFw3RdJxcPGbjIxEW67iYbF8GYiMZCGFLpQpwkZ5VWKiM7j5UbdzBqUC9ioiIadd/ZOXkUl5TSLr7m0mNut7tKUtJsNtUauIaGBPPM7Lur3G/ksIEcPnKM9z/9qjIw/PLbpaxdv4U5f72PSysykMC4c0fUe4xPznmJXj2S+c/cZyq77c4ZOYQrpkznn3P/WyMw/MPlE7n91iknH2N2LqkHDvPSP59k3JiRlddfMGF0vfsVzcukC4fwv89/a7T9mc0mzhmRTM+uccz/dDVBxNG9c5tG27/wf7quU1AeBJZd3GThIgCNaCy0wcIgAojCjK28hyCjWSfJvF1iRoZpSGDYCum6zrY9B/HoOtv3HiI6MrzRs4Z1mXTtnew/cLjy72ce+wuXT5pQa9vvlv7K2+8vZG/qIXJz8yuv79wxsfL/v/y2jqCgQC6ZONbwMRw4eIQDB48w5f478Hh0PJ6T3ZDnjBzCq//9kMKiYoKDAiuvHz92VJVtRESE0SGxHc+98Crp6ZkMGdyPLp2TDB+DaB7umXEZ815bRFZWHlFRvp0kdSqbzYLL7ZFeL0Gh7iYDN5nlgWAmLkzlQWA0FvpiJRoL9lOCJ13G0Yl6SGDYCmVk55GdV0hUeAhZuQVkZOcRExXeaPuPjAjDHhDA0bQTNW578dmHKSl1kHrwCPfPfq7ObXz7/S/8ZdbfmXjeaG6ZeiVt2kRgMpl48ZX57E09VNkuJyeP2OgopcA3MysHgGeee5lnnnu51ja5uXlVAsOYmKgqt2uaxpuvPsdLr87n3y+/TWZWNjExbbjisgu487apMjmlhejSuS0BAVaWLN3I1Vee0yj7dDhcfLBgLaOGdqFbp8CG7yBajBL9ZCYws3x8oAedNuVBYA/sRGMhqFUVafb2+sat6bmrnQSGrUxFtjDAZkHTNGw2S3nWMKzRsoZms5lhg1P4bdUGTmRkERt9MqjqWp5VszQwCeGr734isX08//fUA1WOu6i46qD5yMhwNm7Zga7rhh9fRHl5nDtvncKY0bV0OWsa0dHVAsFafoG3bxfHM38rq7+4P/UQX379PS+//i4mzcRd028ydCzC/wUH2dm917uFrmuj6zrHMlwsX7mZ+NgwRgzuBIVpPt+vaHy6rlOIhyzdQ1Z5AJiBC0dlEGimCzaGEkQItQ+3aTVk8onXSWjcylRkC+0BZRmrwAAbWbn5ZGQ37qobf5p2FW6PhyfmvITTpTClr5yGhsViqXJC3L33ABs3b6/S7uwRgygqKuaLRUsNb7tTUgKJCW3ZuXsffXt1q3np3R2b4rKEnTomctf0m2jXNo4du/Yq3Vf4t4T2bViydKPP95OR4+bdhbtIPZzPReP7tO5goIXaqBfzuSeX+Xo2X+l5bKaEIjx0wMYEwriOSC7QwhisBdNRCyBUM8v7QHidZAxbkerZQqA8a2ht9KzhwH69mH3f7Tz5f69wxQ1/4Q+TLyC5Uwc0TeNEeiZfLV4GQHBQUK33Hz1qCEt++o2/zXmJCWNGcuhIGnNff4928bG4TylvM+mCMXz6xXc8+tQ/2Zt6iCED++JyuVj/+zYG9uvFmLOH1di2pmk8Pmsmd/x5Nn+66zEuvWgcMdFRZOfksXP3PtIzs/nbY3fXuN+pdu7ax5Nz5nLheefSIbE9FouZn35eyZGjadx60zVn8MwJf/PkY9cz+dqnKSoqIShIoXyMAl3XWbY6nS3b9nPVpcOxWOQ3fUtToLvZqpcwXgshAjMBmsln5WpaFE3z7uQTCbQlMGxNMrLzOJ6RS0CABUeVwlsaaQXZjT7W8JrLJ9K/bw/e/vAL3nxvAemZWWiaRtu4GAb37837rz/HwJRetd73ikvOIyMzm48XfMOnXyymc1Iij9z3J378eTWr12+qbGexmPnPi0/xyn8/ZNHiZbw5/zOCg4Po3TOZiRPqHhM2asRgPnjrn7z6xgc8OeclCgoKiYwMp0e3zlx2Sq3DukRHR5LYvi3vfrCA48fT0UwmkhLb8dfH7uHqKyepP1nCb11y0TA0TWPD7/sYOaL29+uZyshxs2tfBnHRwZS6rGTkuImJlNN3S7IbB52wEadJ6RjRtDRdV6lYLHzh8OHDjBs3ju//3J6EiNpPCkOe3MaaX384o7WS8wuLScvIrvP2+JhIQoO9OJhd5ZeXSaGtyg86lWMw+qtTZdUJs/GVW4aMGMOaz64z1thqvBitZgkw3BazwqQYleLKJoNfdpbaM8S10hRWxVF5H9g6Gm9bLjhiOHP/9RA33XBZ3Y1KFIYQFJycma/rOsvWl5Bf4GTNum2UODycPzaFsUOCoTTX+DYdBcbbZmcab1tsvBC1vuOY4bYlHxsft5mzz/gxFBUZey8Ulhp/fzndxt9fnlqygB5d5yN3LhPMIURrJwN+lbetw3X6ma4MCzyQaOKHH34gIaF5LA1a8b35w8K7SWh3evVwa93u0WzGXfZCs3ouvE1+crYiocGBtQd+kjkX4oyYTCYcDoUVZhRk5HjIyfMQHmJh9Mi+/PTrJpat2E1K1xSiZVJyi3BUL68zqMlXsjLNy3UMW9WM7trJMyCEEH5K13W27nNgs5aNfTWbTQxI6cKJExls2+dAOnxahp16KT1MCpl9IXxIfp4IIYQXeM5gmEddMnI8HM90Y7dppB4ty0geP1GI2WwlLdNNRi7ERHh9t6IRFeseDutORpkUhlGIkyRj6HUSGAohxBny1URGu02juMRDUbHO8RNZ5OTkcfjocbp37UhxiQe71Elv9nbrDpI0KwESkAg/IYGhEEJ4gS+6dUODTdx4SRi/rNpL7olDTBjelvbx/eieHIumaeglOV7fp2g8BbqH3z3FTDSHNvWhNGMa3h0oL4PuJTAUQogz5tsvk4iwQOwBFsad3d2n+xGNR9d1lnsK6anZaSOTToQfkXejEEL4ufjYMBwOd1MfhvCiXbqDAt3DeLNviqK3GlLg2uskMGyp/OG9rdKzpjJwX6mOoUpbo1+8PpoJqutQkm+srcl4jTUdT8ONymkq3aFKWQ6DJ27d+LEq1TFUoSuUnTGVFYQvKXHQvl0iaPVNIFB4bk1Vn9uIiFCcbp2jJwpoFx9x8gazykxWhTqGoWHG2x5UWCfaafz1tYUYf30Dwo2/F3WPsSU4PQrvRYtCHUOXWyPb42adp5BLA0IJMunU9d5QOS3quvHgqPqKKs06FpK1kr1ORrsKIcQZKCoqwul0MmbMcJ/tw2zWiIsJY/e+dJ/tQzQOl67zvauQoZZAohR+4AnRWCRjKIQQZ2DZz2uwWCyEhYX4bB8/Lt+Fx6MzYnAnn+1DNI6V7mLCNBO9TDKl3DvM5Rdvbq91k8BQNKn1m7fz5vsL2LBlO7n5BURFhDN0QF9um3YlXTsnVbZ76KkX+OHnVaxZ/GETHq0QNf26fB2RkQpdr6fB5fIQFxOK1SpfWs3ZfreTVI+TK62haNJlKfyUdCW3Ak6n03ApDV3XcTp9s7RXdfM/+ZIpdzxIZk4OD951M//955Pcdev17NybyhV/vJvFP/3WKMchxJnY+Pt2EhPifbqPoQM6sjc1gw8XriMnt8in+xK+Uah7+MlZxDhLMHapWeg9mhU0mxcvBtd1b8Hk3dnCOZ1O7nnsWV545a0Gg0Nd13nhlbe457FnfR4crt+0jb+/+B/GjhrK/Ll/5+LzzmXIgD5cMWk8H73+HD2SO/Hg357n0JE0nx6HEGfq8OE0OiS28+k+IiOCuG3qSNrHh/Pa/OX8snIPLpcbXdc5lumRpfGagWXOIvpYAmhrko46r9KsYLJ57yKBoQSGLZ3FYqFTUgIffPZVvcFhRVD4wWdf0SkpAYvFtyevV+d/gknTmH3vHZjNVbvHAu12Hrn7NopLSnnro8+r3LZt516m3P4g/UZfwdmTpvH8y+/gclWdTfzB/xZxyfUzGTDmSgaNvYqLrrmD1975xKePR7ReLpcbu93369xaLGbOGdGVW68fyeFjObzy9i8cy3CxcquLjFwJDP1dtu4h2SRBh/B/8tOlhdM0jbtvvxGADz77CoC7b7+xyviWU4PCa6+YVON2b3O73axev5ne3ZOJi2lTa5t+vbsTHRXBb6s3VF7ncDiZ8dDTTLlqEnfcdDW/rtrA6/M/Jb+ggMfvvxOArxYv46nnX+VP065iyIC+uHUPqQePcCIjy2ePR7RuLpcLq7XxTqWREUEkd4zhSFoO2/a78HjMbE91E91Pk3FrohWylV+8ub3WTQLDVqC+4LCxg0KA7Nw8iktKad8urt527dvGsXPP/sq/Sx0ObrvhKq6ZfCEAo4YNpKSklI8WfsefbvgD8bHRrN+0nW6dO3LXbdeX3UnTGDVsoM8eixA64GnErtwT6fksW7Gbi88fzPKNTqLCPWTmamTk6sRESGAohDgzEhj6E6dedwHYihqop3nerys4PBkUXtwoQWGdavle1XW97HhOqf960bhzqrSdOP5sPlzwDes2buOiCefQr1c3PvjfIh6f8xITRo+gX5/uhIYEGzwIg4/do1CEWYWuQ5HBiQVmhdmp1vqKLlc7BIXRJZpKDTaj7yu3Q2GbKjN0FUbNeBQKQWtWuiYnsHXrTtC9OCmknskJGdlFJLSLZNM+OJIJuYWQGG9i+wGd6EhT3Z9hlddL5ZtBpQpzjvGxy5rN+GsWEOb9rzKTxfhKM0WFDT8HVpdOgNWDXaFwtkOhcLZJU9iuq+pza2nOg8pM5WMMvbm9Vk4Cw1akenBYESA2dlAYGR6GPcDGkaPH6213NO0E8bHRlX8H2Gw1grzoyAgAcvLKVgy59MKxOF0uPvliMZ9+uRgNjUH9e3PPHdPo11vWmRXeN27MMJ548uVG25/JpJGT5yIn04nHAwUlkFfgxqTpZORYiImUrKFoRTSLdyeMyLrVMvmktTk1OKzQ2JlCs9nMsIEpbNm5m+PpmbW22bhlBxlZOZw1ZEDldaUOB/kFhVXaZWTnABARFlp53ZUXn8dHr/8/1i75iLlzHiEnN4+b/zyb3DyFTJAQBv3hqvPIzy+ipKSkUfYXFRHE8vUnOHY8C5fLhccDuQXg0TW2p7pkhrIQ4oxIYNjKVIwpPJWRUjbeduv1V+Lx6Dz5/Ct4qnXNlpSW8sy/XsceYOOGP1xS5bavv/+5yt+Lvv8Fs9nEoH69auwj0G7n3JFDuPGayygoLOLIsfozlEKcjoT2cdhsVr76+pdG2Z9ushMakUhqaiorV66ksLCQ/CI4ke3mWIZbZiiLVsbqg0vrJjnTVqS2iSZlf38JNG7mcHD/3jw444/Mmftfpk6fxbWXTyQ+JpqDR47x1kefs//gYZ6bfS8dEtpW3ifAZuO1dz6hsLiYHsmd+HXVej5a+C3XTr6wssv5sb//G7s9gIEpPYmOiiQtPYPX3vmEdvExJHfqAMCq9Zu5YfrDTL/5Wmbecl2jPF7RsrVvF8tXi37myism+HxfR447iItvT1x8ew4fPsyOHTsYMGAAufkmLGYdu3yvCSHOgASGrURds4/LupW1JgkOb7zmMvr06MpbHy3kmX++Tn5BIRHhYQwb2JfnZt9D9+Sq68LabFZeevZRnvrnq7z42nuEhgRxy/VX8Odbr69sM6h/bxZ8/QOLvv+FvIKyJfaGDerLzFumYLPJN6bwjQH9e7B6zVaf78fj8bByUzFQNlWqffv2ZGSkc/jwYbp17UDXBBMhQTLG0N/ouo5D1zGf7uxBUTcZY+h18gy0AvWVpKk6IaVpMoeD+/dusN2zj95d+f/3Xp5TZ7vLLhzLZReOPXlFLQ9j2MC+7FjxpdJxClGf8887i2++W+7z/ew6UEpmTtnQC52yz2/37j1Yt24dbdq0Yc/hYHp3kbI1/iZL92AGwjQNt/T0Cz8nYwxbOCN1CiuCw2uvuJgPPvuyScYcCtGcXXn5OIqLS8jJyfPpfrLzPTWqwwQGBtKpUye2b99OQZFHupL90B6Xk84WqxQg94WKjKHXLpIvk8CwhXO5XOw/cLjB4tWnBof7DxzG5XI18pEK0XxFRUVgtwfw+Rc/+nQ/HdtasVnBbAKTBqbyfxMT2hEYaCUx8hihwXJa9zf73E66mCVi9w2ZfOJtEhr7E6cH3VFPkVJdN14ouJzVauP5J2dhsVjq/rVafrWmadx9x43lS3w18ofDVwlKpe0abKyrvAYKB+DxQFFhw+1ArcC18frWSkWQdYW2mtlgAVpd4QeJbrwAsRK3QlkjU0jlfyMjQtmydTfoxos418lsr/XqtvF2brnKzvJ1eYSHmsFVhK7r5BbCdeNT+OTL1eTnJxIaUsvazR6F58uhUGg8VGGd6CiFQsSRxs9B1gLjj83jMvaZ9DiNf3bNxXXvP8/joQAPiRYTJk3H7VEpWm24qdJpyWap+j1jNQOoFIwXLZkEhs2ESdNwu92YLeovmUqQp2la4weFArfbjUnlW0D4nZDQII4fr70up7fous7WPUXYbGXrIleMM7RZdA5nWAmyWyh1uAhFIVgTPrXX5aSz2YpJupF9QzN7t/tXaUWllkkCw2YiMsRGZlYOsaesBCJajozMbNqE1Z4lEs2D0+EkODjQp/vIyHZxPMOB3WYiNbME3V2WqYoMNZGW5SG/WFftVBA+ttftYoDVi0u2CeFjMhilmegebWHZb6ub+jCEjyxbvpJuCRIYNmdFxSVERYX7dB92m0ZxiYfsvKpd7tn5HopKdAKsJjwqaxcLnyrWPZzwuOlglhyM71jKJ6B46SL5MnkGmovpIyOZ/tprdOmURL8+PTCrjDETfsvtdvP7lh385/XXeWl6l6Y+HHGaPB4PGRm5jDqrn0/3Expi4cbL4yv/1otOVLn9jQ+tFJd4YYyj8Ir9LhcdzBasksb1ITPeDWXku1UCw2aia1wQ94woZs4TD7I/o6ThcjJyHlLni5N3A5vUNI1OcUHcc0EEXRPCvL9/0SgWfP4TJpPG+eeNaNLjCLRbKS6RigL+Yo/LSVeLjNkWzYsEhs3IBX3acOHAGGONVYIcs0JbX3VTqWxW5XhVWA2OrFCZJBIoXwqtwXsffEPX5A6YTI0/OkfXddKydOKjNOJjQtm5N53uXQyeJ4TPOHSdwx4351l8O+5UeLv7V8IiGWMohBBnaN/+I3RL7tDo+9V1ne2pblZsdpCRo3PWoCR27kvnRIZCyR3hEwfdLuJMZuyafM22ZIWFhTz11FOMGjWKlJQULr/8cn744QdD9z148CB33nkngwYNYsCAAdx6663s2bPHx0fcMAmN/Ymul128QSWr5qu2vsou+qqsi9HjVXlYpQrdeiaDNQwBVMoWqcyItCrUuvMojGVzG6yLp1IqwqxQkkXly1lTeL5cWQCcOJHJ2HP6Vv5dx4aNb9dg3ceMAhs//15AWIiZ7Yc0zhkYyshh3Vix8RjDhvQivo25sn6pbgs2vn+9nnqq1UW2qXGVx6NTUOwkNKjaah9HFQJWi/HnyxLv/fI8pfnGP7u1ddDsdTvparXUuM2kKdRHVHjLqHx0qn/NWJp17Nq0YwxnzJjBtm3buO+++0hISGDBggXMmDGDV155hdGjR9d5v8zMTK677jratGnDnDlzMJvNvPzyy1x//fUsXLiQ+Pj4Ou/raxIYCiHEGcrLK6RXz8bNGOq6ztptpTgcOk6nTmaOm4wcD23jwli/9Tj6phJGDQgkJrLxB9O/v2Qfh08UEhhgZnT/ePp3qxk8tmRuXWe/y8VIm1Qa8D0z3p0wYnxby5Yt47fffmPu3LlMmDABgOHDh3Po0CGeffbZegPDN954g7y8PD777DPi4uIA6N+/P+PGjePll1/mr3/965k9jDPQrH8nCCFEU3O5XBQVlzJ0UPdG3W96poMDx5wE2qG4VEfXYdu+UkKCbezcn49H19m2r7TR1z3PyislLbOIB6b05YpzO/Lj+jR+/f14qyqjc8TtJsJkIrQJxpyKxrNkyRJCQ0MZN25c5XWapjF58mT27dtXb7fw999/z1lnnVUZFAJERkYyZswYlixZ4tPjboi8a4UQ4gy8//FPWK0WUvp2brR96rrO2s05uN06VosJixnyizxk5rjJzLORm+cgOMBNVq6HjByFbmEv2HUwl26J4ZhMGgmxwdx0UTK7D+fxzjd7yC1qHTOm97qddJHZyI2jYuUTr12MZwx3795NcnJyjUln3buX/UjctWtXrfcrKSnh4MGDdOvWrcZt3bt3JzMzk8xM366iVB/pSvYjR/IMjO+yGfzVrTA+x2dj9nyVqWjqmmAq+zc60xmgSOEYHCXG25YobDhQoUvGojAGy2Jw7KJFYY1eq8r4TYUvabPCMQDz319K924dOHy0gRO5W+F1cJfWe3Nmdimbtqdj1ly4nCZ0XafUCU6HicVHdUJDAlm+egfdkpP4eW0hQ3vboVRhfJ9D4Vhzq74Xf9mUwVl9YzmccfL68UMSWLsjg+d/2M+53SPoFtfweEe9WCGgLTHe1uXUceg6uwodpDvctA8wYzVp7Cty4tZBpyz7WpznQqf8b6i8oFP1b3R6eqy0Ly9ires6m3QP5wcEkFbLucKlcL41uKxz+VEotK3WONNXlR4aQVpamk+2V9t2w8LCCAs7WVYsJyeHjh071mgXHh5eeXttcnNz0XW9st2pIiIiKu/bpk3TDMGQwNAPVLzRbvg4o4mPRAhxeiyMu+iJpj6IWqxtkr2+sSS7jlvMfLwzH8hvzMOpQ/kEn+KKv6v9eAg6g02HBfL1Gdy9KYSHhxMSEtLUh2FYSEgI4eHhTJkyxevbDggIqHW7M2bMYObMmVWu0+pJFNR3m5Hbm4oEhn4gLCyMNWvWkJeX19SHIoQQohUKCQmpzFY1BxERESxevJiCAu+XZtJ1vdag7dRsYcUx1JYVzM3NBag1I1hxvaZptd634rqmfC0kMPQT1VPUQgghhKhbREREkwZQycnJLF68GI/HU2WcYcXYwtrGEALY7XYSExNrHYO4a9cuoqKimqwbGWTyiRBCCCGEsgkTJpCXl8fSpUurXL9w4UI6depEcnJynfcdP348v/32G+np6ZXX5eTk8OOPP1aWvmkqmt7YtQyEEEIIIZo5Xde54YYb2LlzJ/fffz8JCQksXLiQhQsXMm/ePMaOHQvA1KlTWb16NTt37qy8b0ZGBpdeeimxsbFMnz4di8XCyy+/TGpqKgsWLKBdu3ZN9bAkMBRCCCGEOB0FBQU8//zzfPfdd+Tl5ZGcnMz06dMZP358ZZvaAkOA1NRU5syZw6pVq9B1nUGDBvHggw/StWvXxn4YVUhgKIQQQgghABljKIQQQgghyklgKIQQQgghAAkMhRBCCCFEOQkMhRBCCCEEIIGhEEIIIYQoJ4GhEEIIIYQAJDAUQgghhBDlJDAUQgghhBCABIZCCCGEEKLc/wdNc49DMGiG1AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# NOT THE VERSION IN THE PAPER\n",
    "# Contribution of smoke BC to total BC flux, 2014-2019\n",
    "### NEEDS TO BE EDITED\n",
    "\n",
    "YlOrRd_trans = fp.cmap_trans('YlOrRd') # makes tranparent at lower end\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "#bounds1 =  np.linspace(-1, 1, 11-1)\n",
    "#norm1 = matplotlib.colors.BoundaryNorm(boundaries=bounds1,ncolors=256)\n",
    "\n",
    "im=((BCDST_flux2014_19y_avg['BC_flux']-BCDST_flux2014_19y_avg_noGFED['BC_flux'])/BCDST_flux2014_19y_avg['BC_flux']).plot(ax=ax,  vmin=0, vmax=1, cmap=YlOrRd_trans,add_colorbar=False)\n",
    "\n",
    "\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),s=50, \n",
    "           c='grey', marker=\"^\", alpha=0.5, label = 'Glaciers')\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8, label = 'Obs.')   \n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "# get the symbols and the labels for legend\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=2, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "fig.colorbar(im, ax=ax, label = 'fire:total ratio' )\n",
    "\n",
    "plt.title('Mean contribution of smoke BC to total BC flux, 2014-2019.', y =1.05,fontsize=20);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Thermal year calculations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "##get thermal year with daily \n",
    "####thermal daily function\n",
    "##merging the thermal daily deposition\n",
    "\n",
    "def Dep_thermal_yr(BCDST_flux_yr, DD_dataset, WLLS_dataset, WLConv_dataset, start_date, end_date):\n",
    "    ##summing the yearly deposition from these total and GFED\n",
    "    Dep_therm_yr1_yr2=xr.Dataset()\n",
    "    Dep_therm_yr1_yr2['BC_flux']=BCDST_flux_yr['BC_flux'].sel(time=slice(start_date, end_date)).sum(dim='time')\n",
    "    Dep_therm_yr1_yr2['BC_flux'].attrs['units']='mg m-2 yr-1'\n",
    "    Dep_therm_yr1_yr2['DST_flux']=BCDST_flux_yr['DST_flux'].sel(time=slice(start_date, end_date)).sum(dim='time')\n",
    "    Dep_therm_yr1_yr2['DST_flux'].attrs['units']='mg m-2 yr-1'\n",
    "    Dep_therm_yr1_yr2['DryDep_BC']= (DD_dataset['DryDep_BCPI'].sel(time=slice(start_date, end_date)).sum(dim='time'))+(DD_dataset['DryDep_BCPO'].sel(time=slice(start_date, end_date)).sum(dim='time'))\n",
    "    Dep_therm_yr1_yr2['DryDep_BC'].attrs['units']='mg m-2 yr-1'\n",
    "    Dep_therm_yr1_yr2['WetLossLS_BC']= (WLLS_dataset['WetLossLS_BCPI'].sel(time=slice(start_date, end_date)).sum(dim='time')) +(WLLS_dataset['WetLossLS_BCPO'].sel(time=slice(start_date, end_date)).sum(dim='time'))\n",
    "    Dep_therm_yr1_yr2['WetLossLS_BC'].attrs['units']='mg m-2 yr-1'\n",
    "    Dep_therm_yr1_yr2['WetLossConv_BC']=(WLConv_dataset['WetLossConv_BCPI'] + WLConv_dataset['WetLossConv_BCPO']).sel(time=slice(start_date, end_date)).sum(dim='time')\n",
    "    Dep_therm_yr1_yr2['WetLossConv_BC'].attrs['units']='mg m-2 yr-1'\n",
    "    Dep_therm_yr1_yr2['WetLossTotal_BC']= (WLLS_dataset['WetLossLS_BCPI']+WLLS_dataset['WetLossLS_BCPO']+WLConv_dataset['WetLossConv_BCPI'] + WLConv_dataset['WetLossConv_BCPO']).sel(time=slice(start_date, end_date)).sum(dim='time')\n",
    "    Dep_therm_yr1_yr2['WetLossTotal_BC'].attrs['units']='mg m-2 yr-1'\n",
    "    Dep_therm_yr1_yr2['DryDep_DST']=(DD_dataset['DryDep_DST1']+DD_dataset['DryDep_DST2']+DD_dataset['DryDep_DST3']+DD_dataset['DryDep_DST4']).sel(time=slice(start_date, end_date)).sum(dim='time')\n",
    "    Dep_therm_yr1_yr2['DryDep_DST'].attrs['units']='mg m-2 yr-1'\n",
    "    Dep_therm_yr1_yr2['WetLossTotal_DST']= (WLLS_dataset['WetLossLS_DST1'] +WLLS_dataset['WetLossLS_DST2'] + WLLS_dataset['WetLossLS_DST3'] +WLLS_dataset['WetLossLS_DST4'] +\n",
    "                                            WLConv_dataset['WetLossConv_DST1'] + WLConv_dataset['WetLossConv_DST2']+WLConv_dataset['WetLossConv_DST3'] + WLConv_dataset['WetLossConv_DST4']).sel(time=slice(start_date, end_date)).sum(dim='time')\n",
    "    Dep_therm_yr1_yr2['WetLossTotal_DST'].attrs['units']='mg m-2 yr-1'\n",
    "    return Dep_therm_yr1_yr2\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "###getting thermal BC deposition for the 5 yrs\n",
    "Dep_therm_14_15=Dep_thermal_yr(BCDST_flux2014_19d, DD_2014_19_mgm2d, WDLS_2014_19_mgm2d, WDConv_2014_19_mgm2d, '2014-07-01','2015-06-30')\n",
    "Dep_therm_15_16=Dep_thermal_yr(BCDST_flux2014_19d, DD_2014_19_mgm2d, WDLS_2014_19_mgm2d, WDConv_2014_19_mgm2d,  '2015-07-01','2016-06-30')\n",
    "Dep_therm_16_17=Dep_thermal_yr(BCDST_flux2014_19d, DD_2014_19_mgm2d, WDLS_2014_19_mgm2d, WDConv_2014_19_mgm2d, '2016-07-01','2017-06-30')\n",
    "Dep_therm_17_18=Dep_thermal_yr(BCDST_flux2014_19d, DD_2014_19_mgm2d, WDLS_2014_19_mgm2d, WDConv_2014_19_mgm2d, '2017-07-01','2018-06-30')\n",
    "Dep_therm_18_19=Dep_thermal_yr(BCDST_flux2014_19d, DD_2014_19_mgm2d, WDLS_2014_19_mgm2d, WDConv_2014_19_mgm2d, '2018-07-01','2019-06-30')\n",
    "\n",
    "Dep_therm_14_15_noGFED=Dep_thermal_yr(BCDST_flux2014_19d_noGFED, DD_2014_19_mgm2d_noGFED, WDLS_2014_19_mgm2d_noGFED, WDConv_2014_19_mgm2d_noGFED, '2014-07-01','2015-06-30')\n",
    "Dep_therm_15_16_noGFED=Dep_thermal_yr(BCDST_flux2014_19d_noGFED, DD_2014_19_mgm2d_noGFED, WDLS_2014_19_mgm2d_noGFED,WDConv_2014_19_mgm2d_noGFED,  '2015-07-01','2016-06-30')\n",
    "Dep_therm_16_17_noGFED=Dep_thermal_yr(BCDST_flux2014_19d_noGFED, DD_2014_19_mgm2d_noGFED, WDLS_2014_19_mgm2d_noGFED, WDConv_2014_19_mgm2d_noGFED, '2016-07-01','2017-06-30')\n",
    "Dep_therm_17_18_noGFED=Dep_thermal_yr(BCDST_flux2014_19d_noGFED, DD_2014_19_mgm2d_noGFED, WDLS_2014_19_mgm2d_noGFED, WDConv_2014_19_mgm2d_noGFED, '2017-07-01','2018-06-30')\n",
    "Dep_therm_18_19_noGFED=Dep_thermal_yr(BCDST_flux2014_19d_noGFED, DD_2014_19_mgm2d_noGFED, WDLS_2014_19_mgm2d_noGFED, WDConv_2014_19_mgm2d_noGFED, '2018-07-01','2019-06-30')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2afb780802b0>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Dep_therm_14_15_noGFED['DryDep_BC'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get precipitation obs/GC ratios\n",
    "* Monthly, and thermal annual ratios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this function adds the precipitation from met data\n",
    "#returns sum totals for monthly and yearly precipiation for each year\n",
    "def met_sums(var_names, filename):\n",
    "    met_yr= xr.open_dataset(filename)\n",
    "    times_val=met_yr['time'][0].values\n",
    "    varsum_yr=met_yr[[var_names]].sum(dim=('time'))\n",
    "    varsum_yr=varsum_yr.assign_coords(time=times_val).expand_dims('time')\n",
    "    varsum_yr.attrs['units']='mm yr-1'\n",
    "    varsum_m= met_yr[[var_names]].resample(time='1MS', keep_attrs=True).sum()\n",
    "    varsum_m.attrs['units']='mm month-1'\n",
    "    return varsum_yr, varsum_m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "### files from state meteorology from GEOS-Chem output from MERRA-2\n",
    "file_met2014= '../BC_Andes_files/GEOSChem.StateMet.2014_prec_height.nc4'\n",
    "file_met2015= '../BC_Andes_files/GEOSChem.StateMet.2015_prec_height.nc4'\n",
    "file_met2016= '../BC_Andes_files/GEOSChem.StateMet.2016_prec_height.nc4'\n",
    "file_met2017= '../BC_Andes_files/GEOSChem.StateMet.2017_prec_height.nc4'\n",
    "file_met2018= '../BC_Andes_files/GEOSChem.StateMet.2018_prec_height.nc4'\n",
    "file_met2019= '../BC_Andes_files/GEOSChem.StateMet.2019_prec_height.nc4'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Quick look at altitude in GEOS-Chem and observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2afb7811f970>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#updating the surface potential height for the correct units\n",
    "met_dt= xr.open_dataset('../BC_Andes_files/GEOSChem.StateMet.20140420_prec_height.nc4')\n",
    "met_dt[\"Met_PHIS\"].attrs['units']='m'\n",
    "\n",
    "#FOLLOWING THE US STANDARD ATMOPHERIC 1976\n",
    "##https://wahiduddin.net/calc/refs/measures_of_altitude_mahoney.html\n",
    "#getting the geometric altitude estimates\n",
    "R_not=6356.7668*100 #6356.7668 KMM\n",
    "met_dt['geo_height']=met_dt['Met_PHIS']*R_not/(R_not-met_dt['Met_PHIS']-met_dt['Met_PHIS'])\n",
    "met_dt['geo_height'].assign_attrs(units='m')\n",
    "met_dt['geo_height'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gridbox height wrt pressure levels')"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(met_dt['lev'].values, \n",
    "         met_dt['Met_BXHEIGHT'].sel(lat=-9.1, lon=-77.6, method='nearest')[0,:].values, label='Huascaran', alpha=0.5)\n",
    "ax.plot(met_dt['lev'].values, \n",
    "         met_dt['Met_BXHEIGHT'].sel(lat=-13.9, lon=-70.9, method='nearest')[0,:].values, label='Quelccaya', alpha=0.5)\n",
    "ax.plot(met_dt['lev'].values, \n",
    "         met_dt['Met_BXHEIGHT'].sel(lat=-3, lon=-60, method='nearest')[0,:].values, label='Manaus', alpha=0.5)\n",
    "ax.legend()\n",
    "ax.set_ylabel(\"Gridbox height\")\n",
    "ax.set_xlabel(\"Pressure hPA, hybrid sigma\")\n",
    "ax.set_title('Gridbox height wrt pressure levels')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;lev_height&#x27; (time: 1, lev: 47, lat: 151, lon: 89)&gt;\n",
       "array([[[[  123.26806 ,   123.22906 ,   123.212326, ...,   120.07655 ,\n",
       "            120.09278 ,   120.07988 ],\n",
       "         [  123.36516 ,   123.307915,   123.28684 , ...,   120.14872 ,\n",
       "            120.12475 ,   120.1265  ],\n",
       "         [  123.42708 ,   123.35875 ,   123.31433 , ...,   120.25383 ,\n",
       "            120.15481 ,   120.08283 ],\n",
       "         ...,\n",
       "         [  507.09238 ,   280.82565 ,   174.11633 , ...,   131.89072 ,\n",
       "            131.93051 ,   131.97563 ],\n",
       "         [  401.61224 ,   246.22812 ,   193.01062 , ...,   131.76706 ,\n",
       "            131.81096 ,   131.85165 ],\n",
       "         [  442.912   ,   214.83868 ,   160.99306 , ...,   131.64417 ,\n",
       "            131.69464 ,   131.73631 ]],\n",
       "\n",
       "        [[  124.953766,   124.97082 ,   124.994896, ...,   122.72844 ,\n",
       "            122.77663 ,   122.79766 ],\n",
       "         [  125.03621 ,   125.03514 ,   125.043785, ...,   122.679306,\n",
       "            122.67385 ,   122.76562 ],\n",
       "         [  125.09175 ,   125.062836,   125.07267 , ...,   122.79183 ,\n",
       "            122.739716,   122.72476 ],\n",
       "...\n",
       "         [ 8217.54    ,  7991.352   ,  7885.045   , ...,  7911.731   ,\n",
       "           7911.7393  ,  7911.6514  ],\n",
       "         [ 8118.905   ,  7963.995   ,  7911.2246  , ...,  7920.839   ,\n",
       "           7920.7705  ,  7920.573   ],\n",
       "         [ 8167.9277  ,  7939.788   ,  7886.607   , ...,  7929.7437  ,\n",
       "           7929.526   ,  7929.234   ]],\n",
       "\n",
       "        [[13030.563   , 13028.235   , 13026.166   , ..., 12650.129   ,\n",
       "          12642.931   , 12635.426   ],\n",
       "         [13019.081   , 13016.37    , 13013.902   , ..., 12627.425   ,\n",
       "          12620.196   , 12611.978   ],\n",
       "         [13006.462   , 13003.406   , 13000.615   , ..., 12606.676   ,\n",
       "          12599.058   , 12590.59    ],\n",
       "         ...,\n",
       "         [11356.708   , 11131.497   , 11025.998   , ..., 11005.293   ,\n",
       "          11004.257   , 11003.213   ],\n",
       "         [11257.135   , 11102.8955  , 11051.039   , ..., 11008.678   ,\n",
       "          11007.985   , 11007.242   ],\n",
       "         [11305.15    , 11077.7295  , 11025.194   , ..., 11012.796   ,\n",
       "          11012.353   , 11011.977   ]]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2014-04-20T12:00:00\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "  * lev      (lev) float64 0.9925 0.9775 0.9625 ... 0.0004141 0.0001387 3.8e-05</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lev_height'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lev</span>: 47</li><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4e82af27-7e1c-4ac9-a06f-055bc6959342' class='xr-array-in' type='checkbox' checked><label for='section-4e82af27-7e1c-4ac9-a06f-055bc6959342' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>123.3 123.2 123.2 123.2 ... 1.101e+04 1.101e+04 1.101e+04 1.101e+04</span></div><div class='xr-array-data'><pre>array([[[[  123.26806 ,   123.22906 ,   123.212326, ...,   120.07655 ,\n",
       "            120.09278 ,   120.07988 ],\n",
       "         [  123.36516 ,   123.307915,   123.28684 , ...,   120.14872 ,\n",
       "            120.12475 ,   120.1265  ],\n",
       "         [  123.42708 ,   123.35875 ,   123.31433 , ...,   120.25383 ,\n",
       "            120.15481 ,   120.08283 ],\n",
       "         ...,\n",
       "         [  507.09238 ,   280.82565 ,   174.11633 , ...,   131.89072 ,\n",
       "            131.93051 ,   131.97563 ],\n",
       "         [  401.61224 ,   246.22812 ,   193.01062 , ...,   131.76706 ,\n",
       "            131.81096 ,   131.85165 ],\n",
       "         [  442.912   ,   214.83868 ,   160.99306 , ...,   131.64417 ,\n",
       "            131.69464 ,   131.73631 ]],\n",
       "\n",
       "        [[  124.953766,   124.97082 ,   124.994896, ...,   122.72844 ,\n",
       "            122.77663 ,   122.79766 ],\n",
       "         [  125.03621 ,   125.03514 ,   125.043785, ...,   122.679306,\n",
       "            122.67385 ,   122.76562 ],\n",
       "         [  125.09175 ,   125.062836,   125.07267 , ...,   122.79183 ,\n",
       "            122.739716,   122.72476 ],\n",
       "...\n",
       "         [ 8217.54    ,  7991.352   ,  7885.045   , ...,  7911.731   ,\n",
       "           7911.7393  ,  7911.6514  ],\n",
       "         [ 8118.905   ,  7963.995   ,  7911.2246  , ...,  7920.839   ,\n",
       "           7920.7705  ,  7920.573   ],\n",
       "         [ 8167.9277  ,  7939.788   ,  7886.607   , ...,  7929.7437  ,\n",
       "           7929.526   ,  7929.234   ]],\n",
       "\n",
       "        [[13030.563   , 13028.235   , 13026.166   , ..., 12650.129   ,\n",
       "          12642.931   , 12635.426   ],\n",
       "         [13019.081   , 13016.37    , 13013.902   , ..., 12627.425   ,\n",
       "          12620.196   , 12611.978   ],\n",
       "         [13006.462   , 13003.406   , 13000.615   , ..., 12606.676   ,\n",
       "          12599.058   , 12590.59    ],\n",
       "         ...,\n",
       "         [11356.708   , 11131.497   , 11025.998   , ..., 11005.293   ,\n",
       "          11004.257   , 11003.213   ],\n",
       "         [11257.135   , 11102.8955  , 11051.039   , ..., 11008.678   ,\n",
       "          11007.985   , 11007.242   ],\n",
       "         [11305.15    , 11077.7295  , 11025.194   , ..., 11012.796   ,\n",
       "          11012.353   , 11011.977   ]]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7fb2defe-c37d-4290-a448-ad7701a7c3be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7fb2defe-c37d-4290-a448-ad7701a7c3be' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-04-20T12:00:00</div><input id='attrs-e96a5411-f551-421f-ac22-8f8d9cd2dd4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e96a5411-f551-421f-ac22-8f8d9cd2dd4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26806fbe-2cad-4eae-9da8-8221137301d6' class='xr-var-data-in' type='checkbox'><label for='data-26806fbe-2cad-4eae-9da8-8221137301d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-04-20T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-16bc8d65-9be8-4c44-9d6f-40d2ede0570d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16bc8d65-9be8-4c44-9d6f-40d2ede0570d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0c4017a-d898-4b29-9dce-3c1042e4c146' class='xr-var-data-in' type='checkbox'><label for='data-f0c4017a-d898-4b29-9dce-3c1042e4c146' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-6a0d8598-4fc6-49fe-a290-d016d0cced0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a0d8598-4fc6-49fe-a290-d016d0cced0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17b5e753-9fa7-4295-854c-4b69ee0c2be9' class='xr-var-data-in' type='checkbox'><label for='data-17b5e753-9fa7-4295-854c-4b69ee0c2be9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9925 0.9775 ... 0.0001387 3.8e-05</div><input id='attrs-ff4cb19b-2adc-42d4-8b0a-f24167c4677a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff4cb19b-2adc-42d4-8b0a-f24167c4677a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68487c85-6020-4021-a487-59b03f0a76a7' class='xr-var-data-in' type='checkbox'><label for='data-68487c85-6020-4021-a487-59b03f0a76a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>units :</span></dt><dd>level</dd><dt><span>formula_terms :</span></dt><dd>ap: ap b: b ps: ps</dd><dt><span>bounds :</span></dt><dd>lev_bnds</dd></dl></div><div class='xr-var-data'><pre>array([9.925000e-01, 9.774999e-01, 9.624998e-01, 9.475000e-01, 9.325001e-01,\n",
       "       9.174999e-01, 9.024999e-01, 8.875000e-01, 8.725000e-01, 8.575001e-01,\n",
       "       8.425001e-01, 8.275002e-01, 8.100002e-01, 7.875000e-01, 7.625000e-01,\n",
       "       7.375001e-01, 7.125001e-01, 6.875001e-01, 6.562501e-01, 6.187502e-01,\n",
       "       5.812502e-01, 5.437501e-01, 5.062501e-01, 4.687501e-01, 4.312501e-01,\n",
       "       3.937501e-01, 3.562501e-01, 3.127916e-01, 2.664790e-01, 2.265135e-01,\n",
       "       1.925410e-01, 1.636615e-01, 1.391150e-01, 1.182500e-01, 1.005144e-01,\n",
       "       8.543901e-02, 6.745011e-02, 4.828166e-02, 3.427161e-02, 2.407970e-02,\n",
       "       1.454227e-02, 6.684757e-03, 2.863681e-03, 1.133785e-03, 4.140641e-04,\n",
       "       1.386745e-04, 3.800000e-05])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b9fbc8d2-7bf3-48d1-8a24-e5cfa4b1710c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b9fbc8d2-7bf3-48d1-8a24-e5cfa4b1710c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'lev_height' (time: 1, lev: 47, lat: 151, lon: 89)>\n",
       "array([[[[  123.26806 ,   123.22906 ,   123.212326, ...,   120.07655 ,\n",
       "            120.09278 ,   120.07988 ],\n",
       "         [  123.36516 ,   123.307915,   123.28684 , ...,   120.14872 ,\n",
       "            120.12475 ,   120.1265  ],\n",
       "         [  123.42708 ,   123.35875 ,   123.31433 , ...,   120.25383 ,\n",
       "            120.15481 ,   120.08283 ],\n",
       "         ...,\n",
       "         [  507.09238 ,   280.82565 ,   174.11633 , ...,   131.89072 ,\n",
       "            131.93051 ,   131.97563 ],\n",
       "         [  401.61224 ,   246.22812 ,   193.01062 , ...,   131.76706 ,\n",
       "            131.81096 ,   131.85165 ],\n",
       "         [  442.912   ,   214.83868 ,   160.99306 , ...,   131.64417 ,\n",
       "            131.69464 ,   131.73631 ]],\n",
       "\n",
       "        [[  124.953766,   124.97082 ,   124.994896, ...,   122.72844 ,\n",
       "            122.77663 ,   122.79766 ],\n",
       "         [  125.03621 ,   125.03514 ,   125.043785, ...,   122.679306,\n",
       "            122.67385 ,   122.76562 ],\n",
       "         [  125.09175 ,   125.062836,   125.07267 , ...,   122.79183 ,\n",
       "            122.739716,   122.72476 ],\n",
       "...\n",
       "         [ 8217.54    ,  7991.352   ,  7885.045   , ...,  7911.731   ,\n",
       "           7911.7393  ,  7911.6514  ],\n",
       "         [ 8118.905   ,  7963.995   ,  7911.2246  , ...,  7920.839   ,\n",
       "           7920.7705  ,  7920.573   ],\n",
       "         [ 8167.9277  ,  7939.788   ,  7886.607   , ...,  7929.7437  ,\n",
       "           7929.526   ,  7929.234   ]],\n",
       "\n",
       "        [[13030.563   , 13028.235   , 13026.166   , ..., 12650.129   ,\n",
       "          12642.931   , 12635.426   ],\n",
       "         [13019.081   , 13016.37    , 13013.902   , ..., 12627.425   ,\n",
       "          12620.196   , 12611.978   ],\n",
       "         [13006.462   , 13003.406   , 13000.615   , ..., 12606.676   ,\n",
       "          12599.058   , 12590.59    ],\n",
       "         ...,\n",
       "         [11356.708   , 11131.497   , 11025.998   , ..., 11005.293   ,\n",
       "          11004.257   , 11003.213   ],\n",
       "         [11257.135   , 11102.8955  , 11051.039   , ..., 11008.678   ,\n",
       "          11007.985   , 11007.242   ],\n",
       "         [11305.15    , 11077.7295  , 11025.194   , ..., 11012.796   ,\n",
       "          11012.353   , 11011.977   ]]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2014-04-20T12:00:00\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "  * lev      (lev) float64 0.9925 0.9775 0.9625 ... 0.0004141 0.0001387 3.8e-05"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#adding a new variable for the height of each level, with the same dimensions as the grid box heights \n",
    "met_dt['lev_height']=met_dt['Met_BXHEIGHT']-met_dt['Met_BXHEIGHT']\n",
    "for ilev in range(0,len(met_dt['lev'])):\n",
    "    met_dt['lev_height'][:,ilev,:,:] = met_dt['geo_height'][:,:]+met_dt['Met_BXHEIGHT'][:,ilev,:,:]\n",
    "###the top\n",
    "#met_dt['lev_height'][:,46,:,:]=met_dt['geo_height'][:,:]+met_dt['Met_BXHEIGHT'].isel(lev=46)/2\n",
    "met_dt['lev_height']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Altitude wrt pressure levels')"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=[4,8])\n",
    "ax.plot(met_dt['lev'].values, \n",
    "         met_dt['lev_height'].sel(lat=-9.1, lon=-77.6, method='nearest')[0,:].values, label='Huascaran', alpha=0.75, marker='x', linewidth=3)\n",
    "ax.plot(met_dt['lev'].values, \n",
    "         met_dt['lev_height'].sel(lat=-13.9, lon=-70.8, method='nearest')[0,:].values, label='Quelccaya', marker='o',alpha=0.5,linewidth=3)\n",
    "#ax.plot(met_dt['lev'].values, \n",
    "#         met_dt['lev_height'].sel(lat=-60, lon=-3, method='nearest')[0,:].values, label='Manaus', alpha=0.5, linestyle='--')\n",
    "plt.axhline(y=6700, color='C0', linestyle='--', label='huas. summit 6.7 km')\n",
    "plt.axhline(y=6000, color='C0', linestyle='-.', label='huas. col 6 km')\n",
    "plt.axhline(y=5700, color='C1', linestyle='--', label=\"quelc. summit 5.7 km\")\n",
    "ax.legend(loc='upper center', bbox_to_anchor=(1.75, 0.75),\n",
    "          ncol=1, borderaxespad=0.5 )\n",
    "ax.set_ylabel(\"Altitude (m)\")\n",
    "ax.set_xlabel(\"Pressure (hPA), hybrid sigma\")\n",
    "ax.set_title('Altitude wrt pressure levels')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For Huascaran column the pressure of 0.048281660000000004 hPa corresponds to the altitude 5952.003 m\n",
      "For Huascaran summit the pressure of 0.024079704999999996 hPa corresponds to the altitude 6180.701 m\n",
      "For Quelccaya summit the pressure of 0.1636615040877065 hPa corresponds to the altitude 5410.3975 m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    }
   ],
   "source": [
    "#find value\n",
    "print(\"For Huascaran column\",'the pressure of',met_dt['lev'][37].values,'hPa',\n",
    "      'corresponds to the altitude',met_dt['lev_height'].sel(lat=-9.1, lon=-77.6, method='nearest')[0,37].values,'m') #huascaran col\n",
    "print(\"For Huascaran summit\",'the pressure of',met_dt['lev'][39].values,'hPa',\n",
    "      'corresponds to the altitude',met_dt['lev_height'].sel(lat=-9.1, lon=-77.6, method='nearest')[0,39].values,'m') #huascaran summit\n",
    "\n",
    "print(\"For Quelccaya summit\",'the pressure of',met_dt['lev'][31].values,'hPa',\n",
    "      'corresponds to the altitude',met_dt['lev_height'].sel(lat=-13.9, lon=-70.8, method='nearest')[0,31].values,'m') #huascaran summit\n"
   ]
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   "source": [
    "#### Precipitation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
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      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/common.py:1127: UserWarning: Passing ``keep_attrs`` to ``resample`` has no effect and will raise an error in xarray 0.20. Pass ``keep_attrs`` directly to the applied function, e.g. ``resample(...).mean(keep_attrs=True)``.\n",
      "  warnings.warn(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/common.py:1127: UserWarning: Passing ``keep_attrs`` to ``resample`` has no effect and will raise an error in xarray 0.20. Pass ``keep_attrs`` directly to the applied function, e.g. ``resample(...).mean(keep_attrs=True)``.\n",
      "  warnings.warn(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/common.py:1127: UserWarning: Passing ``keep_attrs`` to ``resample`` has no effect and will raise an error in xarray 0.20. Pass ``keep_attrs`` directly to the applied function, e.g. ``resample(...).mean(keep_attrs=True)``.\n",
      "  warnings.warn(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/common.py:1127: UserWarning: Passing ``keep_attrs`` to ``resample`` has no effect and will raise an error in xarray 0.20. Pass ``keep_attrs`` directly to the applied function, e.g. ``resample(...).mean(keep_attrs=True)``.\n",
      "  warnings.warn(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/common.py:1127: UserWarning: Passing ``keep_attrs`` to ``resample`` has no effect and will raise an error in xarray 0.20. Pass ``keep_attrs`` directly to the applied function, e.g. ``resample(...).mean(keep_attrs=True)``.\n",
      "  warnings.warn(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/common.py:1127: UserWarning: Passing ``keep_attrs`` to ``resample`` has no effect and will raise an error in xarray 0.20. Pass ``keep_attrs`` directly to the applied function, e.g. ``resample(...).mean(keep_attrs=True)``.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "## get the monthly precipitation totals for 2014-2019\n",
    "prectot_2014, prectot_2014m= met_sums('Met_PRECTOT',file_met2014)\n",
    "prectot_2015, prectot_2015m= met_sums('Met_PRECTOT',file_met2015)\n",
    "prectot_2016, prectot_2016m= met_sums('Met_PRECTOT',file_met2016)\n",
    "prectot_2017, prectot_2017m= met_sums('Met_PRECTOT',file_met2017)\n",
    "prectot_2018, prectot_2018m= met_sums('Met_PRECTOT',file_met2018)\n",
    "prectot_2019, prectot_2019m= met_sums('Met_PRECTOT',file_met2019)\n",
    "## merge monthly precip totals for 2016-2019\n",
    "prectot_2014_19m=xr.merge([prectot_2014m,prectot_2015m,prectot_2016m,prectot_2017m,prectot_2018m,prectot_2019m])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (time: 6, lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2014-01-01T12:00:00 ... 2019-01-01T12:...\n",
       "  * lon          (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "  * lat          (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "Data variables:\n",
       "    Met_PRECTOT  (time, lat, lon) float32 1.145e+03 1.151e+03 ... 252.3 238.9\n",
       "Attributes:\n",
       "    units:    mm yr-1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cb8082a5-d3bf-4faa-8e58-9937684acb8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cb8082a5-d3bf-4faa-8e58-9937684acb8d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6</li><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8bfce912-f35b-4b97-a788-a00b8e1a38b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8bfce912-f35b-4b97-a788-a00b8e1a38b2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-01-01T12:00:00 ... 2019-01-...</div><input id='attrs-a07e430a-4259-402a-b913-91795e24a748' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a07e430a-4259-402a-b913-91795e24a748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a72ee476-9fa0-434c-b8a4-db7fa90ff5b1' class='xr-var-data-in' type='checkbox'><label for='data-a72ee476-9fa0-434c-b8a4-db7fa90ff5b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-01-01T12:00:00.000000000&#x27;, &#x27;2015-01-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-01-01T12:00:00.000000000&#x27;, &#x27;2017-01-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-01-01T12:00:00.000000000&#x27;, &#x27;2019-01-01T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-71909653-4a57-45b1-9a34-e005cd6f6695' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71909653-4a57-45b1-9a34-e005cd6f6695' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea364892-0d0f-43f8-b82b-4599c9ff68ac' class='xr-var-data-in' type='checkbox'><label for='data-ea364892-0d0f-43f8-b82b-4599c9ff68ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-deb7b829-85c9-45ec-a93a-cd8b53980188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deb7b829-85c9-45ec-a93a-cd8b53980188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b59aa8f-bd53-4c04-8ea9-b98c81722936' class='xr-var-data-in' type='checkbox'><label for='data-2b59aa8f-bd53-4c04-8ea9-b98c81722936' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a88f9b7-ab78-4755-9fd1-a2d15ef4f746' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a88f9b7-ab78-4755-9fd1-a2d15ef4f746' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Met_PRECTOT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.145e+03 1.151e+03 ... 252.3 238.9</div><input id='attrs-2a5ebe4e-628d-4143-a938-66a4c3f090e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a5ebe4e-628d-4143-a938-66a4c3f090e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4afbe9bb-2008-49f1-ab30-57bdef009b34' class='xr-var-data-in' type='checkbox'><label for='data-4afbe9bb-2008-49f1-ab30-57bdef009b34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1144.8555 , 1150.9999 , 1150.0596 , ...,  728.608  ,\n",
       "          722.5255 ,  716.8914 ],\n",
       "        [1144.3497 , 1146.1616 , 1143.816  , ...,  769.072  ,\n",
       "          759.2474 ,  752.76843],\n",
       "        [1125.4313 , 1124.602  , 1132.384  , ...,  806.63416,\n",
       "          790.49457,  780.09467],\n",
       "        ...,\n",
       "        [1923.9066 , 1624.877  , 1637.3373 , ...,  338.35422,\n",
       "          361.8065 ,  432.8597 ],\n",
       "        [1700.5009 , 1613.7012 , 1492.226  , ...,  328.03534,\n",
       "          343.2115 ,  338.12943],\n",
       "        [1795.6692 , 1702.7728 , 1539.7284 , ...,  288.652  ,\n",
       "          289.9028 ,  256.30295]],\n",
       "\n",
       "       [[1142.2952 , 1142.8557 , 1141.4454 , ...,  693.3511 ,\n",
       "          687.16235,  679.35846],\n",
       "        [1138.6301 , 1142.0306 , 1132.7681 , ...,  706.866  ,\n",
       "          701.6903 ,  697.58746],\n",
       "        [1128.3258 , 1127.5759 , 1117.6444 , ...,  744.2881 ,\n",
       "          735.9534 ,  727.6609 ],\n",
       "...\n",
       "        [2660.57   , 2263.8762 , 2277.6172 , ...,  354.96878,\n",
       "          379.95172,  378.55295],\n",
       "        [2162.306  , 2160.2522 , 2018.9519 , ...,  291.7706 ,\n",
       "          386.20282,  412.2164 ],\n",
       "        [2189.0803 , 2010.8112 , 1777.2689 , ...,  230.33911,\n",
       "          289.7192 ,  318.63623]],\n",
       "\n",
       "       [[1090.8823 , 1105.1348 , 1123.2477 , ...,  796.09784,\n",
       "          807.21313,  823.7476 ],\n",
       "        [1112.0507 , 1135.4154 , 1162.7448 , ...,  814.5658 ,\n",
       "          822.0402 ,  837.89606],\n",
       "        [1151.1083 , 1172.9913 , 1190.8112 , ...,  856.1773 ,\n",
       "          860.74927,  872.53345],\n",
       "        ...,\n",
       "        [1526.1998 , 1320.3115 , 1397.0148 , ...,  410.3143 ,\n",
       "          372.7961 ,  352.74533],\n",
       "        [1455.5868 , 1290.2915 , 1275.9037 , ...,  351.88403,\n",
       "          304.9887 ,  286.8736 ],\n",
       "        [1588.8552 , 1306.9628 , 1284.379  , ...,  283.7668 ,\n",
       "          252.32301,  238.86562]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27d2f459-ca45-4e2d-8234-c614f7f27ac1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27d2f459-ca45-4e2d-8234-c614f7f27ac1' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm yr-1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 6, lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2014-01-01T12:00:00 ... 2019-01-01T12:...\n",
       "  * lon          (lon) float64 -85.0 -84.38 -83.75 ... -31.25 -30.62 -30.0\n",
       "  * lat          (lat) float64 -60.0 -59.5 -59.0 -58.5 ... 13.5 14.0 14.5 15.0\n",
       "Data variables:\n",
       "    Met_PRECTOT  (time, lat, lon) float32 1.145e+03 1.151e+03 ... 252.3 238.9\n",
       "Attributes:\n",
       "    units:    mm yr-1"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merging yearly precipitation totals\n",
    "prectot_2014_19y=xr.merge([prectot_2014,prectot_2015,prectot_2016,prectot_2017,prectot_2018,prectot_2019])\n",
    "prectot_2014_19y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "## get thermal year precipitation totals for 2014-2019\n",
    "prectot_1415_therm=xr.Dataset()\n",
    "prectot_1415_therm['Met_PRECTOT']=prectot_2014_19m['Met_PRECTOT'].sel(time=slice('2014-07-01', '2015-06-30')).sum(dim='time')\n",
    "prectot_1415_therm['Met_PRECTOT'].attrs['units']='mm yr-1'\n",
    "prectot_1516_therm=xr.Dataset()\n",
    "prectot_1516_therm['Met_PRECTOT']=prectot_2014_19m['Met_PRECTOT'].sel(time=slice('2015-07-01', '2016-06-30')).sum(dim='time')\n",
    "prectot_1516_therm['Met_PRECTOT'].attrs['units']='mm yr-1'\n",
    "prectot_1617_therm=xr.Dataset()\n",
    "prectot_1617_therm['Met_PRECTOT']=prectot_2014_19m['Met_PRECTOT'].sel(time=slice('2016-07-01', '2017-06-30')).sum(dim='time')\n",
    "prectot_1617_therm['Met_PRECTOT'].attrs['units']='mm yr-1'\n",
    "prectot_1718_therm=xr.Dataset()\n",
    "prectot_1718_therm['Met_PRECTOT']=prectot_2014_19m['Met_PRECTOT'].sel(time=slice('2017-07-01', '2018-06-30')).sum(dim='time')\n",
    "prectot_1718_therm['Met_PRECTOT'].attrs['units']='mm yr-1'\n",
    "prectot_1819_therm=xr.Dataset()\n",
    "prectot_1819_therm['Met_PRECTOT']=prectot_2014_19m['Met_PRECTOT'].sel(time=slice('2018-07-01', '2019-06-30')).sum(dim='time')\n",
    "prectot_1819_therm['Met_PRECTOT'].attrs['units']='mm yr-1'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Tmin(C°)</th>\n",
       "      <th>Tprom (C°)</th>\n",
       "      <th>Tmax (C°)</th>\n",
       "      <th>LLUVIA (mm)</th>\n",
       "      <th>VELOC PROM. VIENTO (Km/H)</th>\n",
       "      <th>VELOC MAX. (Km/H)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>-2.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>9.4</td>\n",
       "      <td>0.4</td>\n",
       "      <td>2</td>\n",
       "      <td>11.2</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-02</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.7</td>\n",
       "      <td>11.2</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-03</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>7.1</td>\n",
       "      <td>6.2</td>\n",
       "      <td>1.9</td>\n",
       "      <td>13.4</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>1.4</td>\n",
       "      <td>5.3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13.4</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>9.8</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Fecha Tmin(C°)  Tprom (C°)  Tmax (C°)  LLUVIA (mm)  \\\n",
       "0 2015-01-01     -2.5         3.2        9.4          0.4   \n",
       "1 2015-01-02      0.3         2.6        6.4          0.6   \n",
       "2 2015-01-03     -1.1         2.2        7.1          6.2   \n",
       "3 2015-01-04     -0.1         1.4        5.3          1.8   \n",
       "4 2015-01-05      0.5         3.3        5.8          3.0   \n",
       "\n",
       "  VELOC PROM. VIENTO (Km/H) VELOC MAX. (Km/H)        lat      lon  \n",
       "0                         2              11.2 -16.576667 -70.2075  \n",
       "1                       1.7              11.2 -16.576667 -70.2075  \n",
       "2                       1.9              13.4 -16.576667 -70.2075  \n",
       "3                       3.1              13.4 -16.576667 -70.2075  \n",
       "4                       1.1               9.8 -16.576667 -70.2075  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### precipitation observations\n",
    "clim_arte_file=pd.ExcelFile('../BC_Andes_files/ARTESONRAJU 2016-2020.xlsx')\n",
    "clim_arte= pd.read_excel(clim_arte_file , skiprows=1)\n",
    "clim_arte=clim_arte[clim_arte['precip_Tot (mm)'].notna()]\n",
    "clim_arte['lat']=-8.648339\n",
    "clim_arte['lon']=-77.550447\n",
    "clim_arun_file=pd.ExcelFile('../BC_Andes_files/ARUNTANI 2015-2020.xlsx')\n",
    "clim_arun= pd.read_excel(clim_arun_file )\n",
    "clim_arun=clim_arun[clim_arun['LLUVIA (mm)'].notna()] \n",
    "clim_arun['LLUVIA (mm)']= clim_arun['LLUVIA (mm)'].replace('z',0)\n",
    "clim_arun['lat']=-16.576667\n",
    "clim_arun['lon']=-70.2075\n",
    "clim_arun.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIMESTAMP</th>\n",
       "      <th>Ta_Avg (deg_C)</th>\n",
       "      <th>Rh_Avg(percent)</th>\n",
       "      <th>WiSp(m/s,WVc)</th>\n",
       "      <th>WiDi(deg,WVc)</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2.518345</td>\n",
       "      <td>78.68980</td>\n",
       "      <td>0.665</td>\n",
       "      <td>108.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-01 00:30:00</td>\n",
       "      <td>1.855501</td>\n",
       "      <td>83.80409</td>\n",
       "      <td>1.024</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-01 01:00:00</td>\n",
       "      <td>1.652010</td>\n",
       "      <td>81.93518</td>\n",
       "      <td>1.224</td>\n",
       "      <td>104.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-01 01:30:00</td>\n",
       "      <td>1.715417</td>\n",
       "      <td>81.99458</td>\n",
       "      <td>0.755</td>\n",
       "      <td>101.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-01 02:00:00</td>\n",
       "      <td>1.641528</td>\n",
       "      <td>81.64318</td>\n",
       "      <td>1.573</td>\n",
       "      <td>93.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TIMESTAMP  Ta_Avg (deg_C)  Rh_Avg(percent)  WiSp(m/s,WVc)  \\\n",
       "0 2016-01-01 00:00:00        2.518345         78.68980          0.665   \n",
       "1 2016-01-01 00:30:00        1.855501         83.80409          1.024   \n",
       "2 2016-01-01 01:00:00        1.652010         81.93518          1.224   \n",
       "3 2016-01-01 01:30:00        1.715417         81.99458          0.755   \n",
       "4 2016-01-01 02:00:00        1.641528         81.64318          1.573   \n",
       "\n",
       "   WiDi(deg,WVc)  precip_Tot (mm)       lat        lon  \n",
       "0          108.6              0.0 -8.648339 -77.550447  \n",
       "1           89.9              0.0 -8.648339 -77.550447  \n",
       "2          104.0              0.0 -8.648339 -77.550447  \n",
       "3          101.5              0.0 -8.648339 -77.550447  \n",
       "4           93.1              0.0 -8.648339 -77.550447  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##get the dates to datetime format, sum the precipiatation daily, \n",
    "##to monthly, get monthly avgs for the whole time period here and the std_dev for all the years collected\n",
    "##plot the meteorlogy station to the glacier locations\n",
    "clim_arun[\"Fecha\"]=pd.to_datetime(clim_arun['Fecha'], format='%Y-%m-%d')\n",
    "clim_arte['TIMESTAMP']=pd.to_datetime(clim_arte['TIMESTAMP'])\n",
    "\n",
    "clim_arte.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Tprom (C°)</th>\n",
       "      <th>Tmax (C°)</th>\n",
       "      <th>LLUVIA (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-31</td>\n",
       "      <td>2.258065</td>\n",
       "      <td>7.116129</td>\n",
       "      <td>2.470968</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>76.6</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-02-28</td>\n",
       "      <td>2.714286</td>\n",
       "      <td>7.039286</td>\n",
       "      <td>2.692857</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>75.4</td>\n",
       "      <td>2</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-03-31</td>\n",
       "      <td>2.538710</td>\n",
       "      <td>7.616129</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>80.6</td>\n",
       "      <td>3</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-04-30</td>\n",
       "      <td>1.860000</td>\n",
       "      <td>6.953333</td>\n",
       "      <td>1.586667</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>47.6</td>\n",
       "      <td>4</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-05-31</td>\n",
       "      <td>1.446452</td>\n",
       "      <td>7.564516</td>\n",
       "      <td>0.025806</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>0.8</td>\n",
       "      <td>5</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Fecha  Tprom (C°)  Tmax (C°)  LLUVIA (mm)        lat      lon  \\\n",
       "0 2015-01-31    2.258065   7.116129     2.470968 -16.576667 -70.2075   \n",
       "1 2015-02-28    2.714286   7.039286     2.692857 -16.576667 -70.2075   \n",
       "2 2015-03-31    2.538710   7.616129     2.600000 -16.576667 -70.2075   \n",
       "3 2015-04-30    1.860000   6.953333     1.586667 -16.576667 -70.2075   \n",
       "4 2015-05-31    1.446452   7.564516     0.025806 -16.576667 -70.2075   \n",
       "\n",
       "   precip_Tot (mm)  month  year  \n",
       "0             76.6      1  2015  \n",
       "1             75.4      2  2015  \n",
       "2             80.6      3  2015  \n",
       "3             47.6      4  2015  \n",
       "4              0.8      5  2015  "
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre_arun_sum = clim_arun[['Fecha','LLUVIA (mm)']].groupby(pd.Grouper(key='Fecha',freq='M')).sum()\n",
    "#clim_arun_m=clim_arun_m.reset_index()\n",
    "clim_arun_m=clim_arun.groupby(pd.Grouper(key='Fecha',freq='M')).mean()\n",
    "clim_arun_m['precip_Tot (mm)']=pre_arun_sum['LLUVIA (mm)']\n",
    "clim_arun_m['month'] = clim_arun_m.index.month\n",
    "clim_arun_m['year'] =clim_arun_m.index.year\n",
    "clim_arun_m=clim_arun_m.reset_index()\n",
    "\n",
    "clim_arun_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Tprom (C°)</th>\n",
       "      <th>Tmax (C°)</th>\n",
       "      <th>LLUVIA (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>2.388055</td>\n",
       "      <td>8.232329</td>\n",
       "      <td>0.965479</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>352.4</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-12-31</td>\n",
       "      <td>2.635041</td>\n",
       "      <td>8.935262</td>\n",
       "      <td>1.309366</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>475.3</td>\n",
       "      <td>12</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-12-31</td>\n",
       "      <td>2.612465</td>\n",
       "      <td>8.360826</td>\n",
       "      <td>1.240443</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>447.8</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>0.454913</td>\n",
       "      <td>6.294220</td>\n",
       "      <td>1.352023</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>467.8</td>\n",
       "      <td>12</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-12-31</td>\n",
       "      <td>2.165517</td>\n",
       "      <td>7.891954</td>\n",
       "      <td>1.584483</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>551.4</td>\n",
       "      <td>12</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Fecha  Tprom (C°)  Tmax (C°)  LLUVIA (mm)        lat      lon  \\\n",
       "0 2015-12-31    2.388055   8.232329     0.965479 -16.576667 -70.2075   \n",
       "1 2016-12-31    2.635041   8.935262     1.309366 -16.576667 -70.2075   \n",
       "2 2017-12-31    2.612465   8.360826     1.240443 -16.576667 -70.2075   \n",
       "3 2018-12-31    0.454913   6.294220     1.352023 -16.576667 -70.2075   \n",
       "4 2019-12-31    2.165517   7.891954     1.584483 -16.576667 -70.2075   \n",
       "\n",
       "   precip_Tot (mm)  month  year  \n",
       "0            352.4     12  2015  \n",
       "1            475.3     12  2016  \n",
       "2            447.8     12  2017  \n",
       "3            467.8     12  2018  \n",
       "4            551.4     12  2019  "
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre_arun_yr_sum = clim_arun[['Fecha','LLUVIA (mm)']].groupby(pd.Grouper(key='Fecha',freq='Y')).sum()\n",
    "#clim_arun_m=clim_arun_m.reset_index()\n",
    "clim_arun_yr=clim_arun.groupby(pd.Grouper(key='Fecha',freq='Y')).mean()\n",
    "clim_arun_yr['precip_Tot (mm)']=pre_arun_yr_sum['LLUVIA (mm)']\n",
    "clim_arun_yr['month'] = clim_arun_yr.index.month\n",
    "clim_arun_yr['year'] =clim_arun_yr.index.year\n",
    "clim_arun_yr=clim_arun_yr.reset_index()\n",
    "\n",
    "clim_arun_yr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "441.9166666666667"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_yrly_prec_arun= clim_arun_yr['precip_Tot (mm)'].mean()\n",
    "avg_yrly_prec_arun "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "#get daily sums for artensonraju \n",
    "pre_arte_d_sum = clim_arte[['TIMESTAMP','precip_Tot (mm)']].groupby(pd.Grouper(key='TIMESTAMP',freq='D')).sum()\n",
    "clim_arte_d=clim_arte.groupby(pd.Grouper(key='TIMESTAMP',freq='D')).mean()\n",
    "clim_arte_d['precip_Tot (mm)']=pre_arte_d_sum['precip_Tot (mm)']\n",
    "#clim_arte_d['day'] = clim_arte_d.index.day\n",
    "clim_arte_d['month'] = clim_arte_d.index.month\n",
    "clim_arte_d['year'] =clim_arte_d.index.year\n",
    "clim_arte_d=clim_arte_d.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIMESTAMP</th>\n",
       "      <th>Ta_Avg (deg_C)</th>\n",
       "      <th>Rh_Avg(percent)</th>\n",
       "      <th>WiSp(m/s,WVc)</th>\n",
       "      <th>WiDi(deg,WVc)</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>3.590323</td>\n",
       "      <td>78.069681</td>\n",
       "      <td>2.524847</td>\n",
       "      <td>131.858522</td>\n",
       "      <td>87.11</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>3.285207</td>\n",
       "      <td>87.240368</td>\n",
       "      <td>3.168761</td>\n",
       "      <td>112.026129</td>\n",
       "      <td>224.75</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>3.448494</td>\n",
       "      <td>83.103757</td>\n",
       "      <td>3.274742</td>\n",
       "      <td>110.619364</td>\n",
       "      <td>167.02</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-04-30</td>\n",
       "      <td>3.269431</td>\n",
       "      <td>78.296926</td>\n",
       "      <td>3.369300</td>\n",
       "      <td>104.347229</td>\n",
       "      <td>101.91</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>2.855447</td>\n",
       "      <td>70.213689</td>\n",
       "      <td>3.731614</td>\n",
       "      <td>95.313419</td>\n",
       "      <td>20.23</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TIMESTAMP  Ta_Avg (deg_C)  Rh_Avg(percent)  WiSp(m/s,WVc)  WiDi(deg,WVc)  \\\n",
       "0 2016-01-31        3.590323        78.069681       2.524847     131.858522   \n",
       "1 2016-02-29        3.285207        87.240368       3.168761     112.026129   \n",
       "2 2016-03-31        3.448494        83.103757       3.274742     110.619364   \n",
       "3 2016-04-30        3.269431        78.296926       3.369300     104.347229   \n",
       "4 2016-05-31        2.855447        70.213689       3.731614      95.313419   \n",
       "\n",
       "   precip_Tot (mm)       lat        lon  month    year  \n",
       "0            87.11 -8.648339 -77.550447    1.0  2016.0  \n",
       "1           224.75 -8.648339 -77.550447    2.0  2016.0  \n",
       "2           167.02 -8.648339 -77.550447    3.0  2016.0  \n",
       "3           101.91 -8.648339 -77.550447    4.0  2016.0  \n",
       "4            20.23 -8.648339 -77.550447    5.0  2016.0  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##getting monthly avg for the temp, hum, wind dir, ding vel, lat, long, and monthly sums\n",
    "pre_arte_m_sum = clim_arte_d[['TIMESTAMP','precip_Tot (mm)']].groupby(pd.Grouper(key='TIMESTAMP',freq='M')).sum()\n",
    "clim_arte_m=clim_arte_d.groupby(pd.Grouper(key='TIMESTAMP',freq='M')).mean()\n",
    "clim_arte_m['precip_Tot (mm)']=pre_arte_m_sum['precip_Tot (mm)']\n",
    "clim_arte_m=clim_arte_m.reset_index()\n",
    "\n",
    "clim_arte_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIMESTAMP</th>\n",
       "      <th>Ta_Avg (deg_C)</th>\n",
       "      <th>Rh_Avg(percent)</th>\n",
       "      <th>WiSp(m/s,WVc)</th>\n",
       "      <th>WiDi(deg,WVc)</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-12-31</td>\n",
       "      <td>2.598411</td>\n",
       "      <td>72.233534</td>\n",
       "      <td>3.590589</td>\n",
       "      <td>110.965587</td>\n",
       "      <td>1006.660</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>6.513661</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-12-31</td>\n",
       "      <td>1.991783</td>\n",
       "      <td>79.143187</td>\n",
       "      <td>3.099593</td>\n",
       "      <td>115.533448</td>\n",
       "      <td>1302.440</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>6.526027</td>\n",
       "      <td>2017.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>1.794401</td>\n",
       "      <td>76.262630</td>\n",
       "      <td>3.833503</td>\n",
       "      <td>99.389541</td>\n",
       "      <td>1152.671</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>6.526027</td>\n",
       "      <td>2018.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-12-31</td>\n",
       "      <td>2.093243</td>\n",
       "      <td>76.441723</td>\n",
       "      <td>3.762476</td>\n",
       "      <td>99.948592</td>\n",
       "      <td>1421.920</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>6.526027</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>2.263523</td>\n",
       "      <td>74.407823</td>\n",
       "      <td>3.510916</td>\n",
       "      <td>108.186675</td>\n",
       "      <td>880.310</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>6.279202</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TIMESTAMP  Ta_Avg (deg_C)  Rh_Avg(percent)  WiSp(m/s,WVc)  WiDi(deg,WVc)  \\\n",
       "0 2016-12-31        2.598411        72.233534       3.590589     110.965587   \n",
       "1 2017-12-31        1.991783        79.143187       3.099593     115.533448   \n",
       "2 2018-12-31        1.794401        76.262630       3.833503      99.389541   \n",
       "3 2019-12-31        2.093243        76.441723       3.762476      99.948592   \n",
       "4 2020-12-31        2.263523        74.407823       3.510916     108.186675   \n",
       "\n",
       "   precip_Tot (mm)       lat        lon     month    year  \n",
       "0         1006.660 -8.648339 -77.550447  6.513661  2016.0  \n",
       "1         1302.440 -8.648339 -77.550447  6.526027  2017.0  \n",
       "2         1152.671 -8.648339 -77.550447  6.526027  2018.0  \n",
       "3         1421.920 -8.648339 -77.550447  6.526027  2019.0  \n",
       "4          880.310 -8.648339 -77.550447  6.279202  2020.0  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##getting yearly avg for the temp, hum, wind dir, ding vel, lat, long, and monthly sums\n",
    "pre_arte_yr_sum = clim_arte_d[['TIMESTAMP','precip_Tot (mm)']].groupby(pd.Grouper(key='TIMESTAMP',freq='Y')).sum()\n",
    "clim_arte_yr=clim_arte_d.groupby(pd.Grouper(key='TIMESTAMP',freq='Y')).mean()\n",
    "clim_arte_yr['precip_Tot (mm)']=pre_arte_yr_sum['precip_Tot (mm)']\n",
    "clim_arte_yr=clim_arte_yr.reset_index()\n",
    "\n",
    "clim_arte_yr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1220.92275"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_yrly_prec_arte16_19= clim_arte_yr['precip_Tot (mm)'][0:4].mean()\n",
    "avg_yrly_prec_arte16_19 ## in mm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get preciptation obs/modeled ratios\n",
    "* monthly ratios for artesonraju, and for aruntani\n",
    "* get thermal year ratios for quelccaya & huascaran\n",
    "* get overall obs/modeled ratio - to find avg BC and dust dep on other glaciers...maybe get avg and stand deviation for 5 yrs 2014-2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average ratio between Obs/GC from 2015-2019 at Aruntani:0.15140115350800074\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/tmp/ipykernel_32626/2423668962.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  clim_arun_1519_m['GC-prec_tot (mm)']= prectot_2014_19m['Met_PRECTOT'][12:].sel(lat=-16.56, lon=-70.21, method='nearest').values\n",
      "/tmp/ipykernel_32626/2423668962.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  clim_arun_1519_m['Obs/GC ratio']= clim_arun_m['precip_Tot (mm)']/clim_arun_1519_m['GC-prec_tot (mm)']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Tprom (C°)</th>\n",
       "      <th>Tmax (C°)</th>\n",
       "      <th>LLUVIA (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>GC-prec_tot (mm)</th>\n",
       "      <th>Obs/GC ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-31</td>\n",
       "      <td>2.258065</td>\n",
       "      <td>7.116129</td>\n",
       "      <td>2.470968</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>76.6</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>446.630188</td>\n",
       "      <td>0.171507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-02-28</td>\n",
       "      <td>2.714286</td>\n",
       "      <td>7.039286</td>\n",
       "      <td>2.692857</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>75.4</td>\n",
       "      <td>2</td>\n",
       "      <td>2015</td>\n",
       "      <td>291.537781</td>\n",
       "      <td>0.258629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-03-31</td>\n",
       "      <td>2.538710</td>\n",
       "      <td>7.616129</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>80.6</td>\n",
       "      <td>3</td>\n",
       "      <td>2015</td>\n",
       "      <td>209.339172</td>\n",
       "      <td>0.385021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-04-30</td>\n",
       "      <td>1.860000</td>\n",
       "      <td>6.953333</td>\n",
       "      <td>1.586667</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>47.6</td>\n",
       "      <td>4</td>\n",
       "      <td>2015</td>\n",
       "      <td>262.068787</td>\n",
       "      <td>0.181632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-05-31</td>\n",
       "      <td>1.446452</td>\n",
       "      <td>7.564516</td>\n",
       "      <td>0.025806</td>\n",
       "      <td>-16.576667</td>\n",
       "      <td>-70.2075</td>\n",
       "      <td>0.8</td>\n",
       "      <td>5</td>\n",
       "      <td>2015</td>\n",
       "      <td>49.065899</td>\n",
       "      <td>0.016305</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Fecha  Tprom (C°)  Tmax (C°)  LLUVIA (mm)        lat      lon  \\\n",
       "0 2015-01-31    2.258065   7.116129     2.470968 -16.576667 -70.2075   \n",
       "1 2015-02-28    2.714286   7.039286     2.692857 -16.576667 -70.2075   \n",
       "2 2015-03-31    2.538710   7.616129     2.600000 -16.576667 -70.2075   \n",
       "3 2015-04-30    1.860000   6.953333     1.586667 -16.576667 -70.2075   \n",
       "4 2015-05-31    1.446452   7.564516     0.025806 -16.576667 -70.2075   \n",
       "\n",
       "   precip_Tot (mm)  month  year  GC-prec_tot (mm)  Obs/GC ratio  \n",
       "0             76.6      1  2015        446.630188      0.171507  \n",
       "1             75.4      2  2015        291.537781      0.258629  \n",
       "2             80.6      3  2015        209.339172      0.385021  \n",
       "3             47.6      4  2015        262.068787      0.181632  \n",
       "4              0.8      5  2015         49.065899      0.016305  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "clim_arun_1519_m=xr.Dataset()\n",
    "clim_arun_1519_m=clim_arun_m[0:60] #01/2015-12/2019\n",
    "clim_arun_1519_m['GC-prec_tot (mm)']= prectot_2014_19m['Met_PRECTOT'][12:].sel(lat=-16.56, lon=-70.21, method='nearest').values\n",
    "clim_arun_1519_m['Obs/GC ratio']= clim_arun_m['precip_Tot (mm)']/clim_arun_1519_m['GC-prec_tot (mm)']\n",
    "avg_clim_arun_ratio_avg= clim_arun_1519_m['Obs/GC ratio'].mean()\n",
    "print('Average ratio between Obs/GC from 2015-2019 at Aruntani:'+str(avg_clim_arun_ratio_avg) )\n",
    "clim_arun_1519_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average ratio between Obs/GC from 2016-2019 at Artesonraju:0.05510705914293407\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/tmp/ipykernel_32626/880376815.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  clim_arte_1619_m['GC-prec_tot (mm)']= prectot_2014_19m['Met_PRECTOT'][24:].sel(lat=-8.65, lon=-77.55, method='nearest').values\n",
      "/tmp/ipykernel_32626/880376815.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  clim_arte_1619_m['Obs/GC ratio']= clim_arun_m['precip_Tot (mm)']/clim_arte_1619_m['GC-prec_tot (mm)']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIMESTAMP</th>\n",
       "      <th>Ta_Avg (deg_C)</th>\n",
       "      <th>Rh_Avg(percent)</th>\n",
       "      <th>WiSp(m/s,WVc)</th>\n",
       "      <th>WiDi(deg,WVc)</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>GC-prec_tot (mm)</th>\n",
       "      <th>Obs/GC ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>3.590323</td>\n",
       "      <td>78.069681</td>\n",
       "      <td>2.524847</td>\n",
       "      <td>131.858522</td>\n",
       "      <td>87.11</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>1015.035156</td>\n",
       "      <td>0.075465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>3.285207</td>\n",
       "      <td>87.240368</td>\n",
       "      <td>3.168761</td>\n",
       "      <td>112.026129</td>\n",
       "      <td>224.75</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>952.654724</td>\n",
       "      <td>0.079147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>3.448494</td>\n",
       "      <td>83.103757</td>\n",
       "      <td>3.274742</td>\n",
       "      <td>110.619364</td>\n",
       "      <td>167.02</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>726.096313</td>\n",
       "      <td>0.111005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-04-30</td>\n",
       "      <td>3.269431</td>\n",
       "      <td>78.296926</td>\n",
       "      <td>3.369300</td>\n",
       "      <td>104.347229</td>\n",
       "      <td>101.91</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>515.030457</td>\n",
       "      <td>0.092422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>2.855447</td>\n",
       "      <td>70.213689</td>\n",
       "      <td>3.731614</td>\n",
       "      <td>95.313419</td>\n",
       "      <td>20.23</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>440.234802</td>\n",
       "      <td>0.001817</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TIMESTAMP  Ta_Avg (deg_C)  Rh_Avg(percent)  WiSp(m/s,WVc)  WiDi(deg,WVc)  \\\n",
       "0 2016-01-31        3.590323        78.069681       2.524847     131.858522   \n",
       "1 2016-02-29        3.285207        87.240368       3.168761     112.026129   \n",
       "2 2016-03-31        3.448494        83.103757       3.274742     110.619364   \n",
       "3 2016-04-30        3.269431        78.296926       3.369300     104.347229   \n",
       "4 2016-05-31        2.855447        70.213689       3.731614      95.313419   \n",
       "\n",
       "   precip_Tot (mm)       lat        lon  month    year  GC-prec_tot (mm)  \\\n",
       "0            87.11 -8.648339 -77.550447    1.0  2016.0       1015.035156   \n",
       "1           224.75 -8.648339 -77.550447    2.0  2016.0        952.654724   \n",
       "2           167.02 -8.648339 -77.550447    3.0  2016.0        726.096313   \n",
       "3           101.91 -8.648339 -77.550447    4.0  2016.0        515.030457   \n",
       "4            20.23 -8.648339 -77.550447    5.0  2016.0        440.234802   \n",
       "\n",
       "   Obs/GC ratio  \n",
       "0      0.075465  \n",
       "1      0.079147  \n",
       "2      0.111005  \n",
       "3      0.092422  \n",
       "4      0.001817  "
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clim_arte_1619_m=xr.Dataset()\n",
    "clim_arte_1619_m=clim_arte_m[0:48] #01/2016-12/2019\n",
    "clim_arte_1619_m['GC-prec_tot (mm)']= prectot_2014_19m['Met_PRECTOT'][24:].sel(lat=-8.65, lon=-77.55, method='nearest').values\n",
    "clim_arte_1619_m['Obs/GC ratio']= clim_arun_m['precip_Tot (mm)']/clim_arte_1619_m['GC-prec_tot (mm)']\n",
    "avg_clim_arte_ratio_avg= clim_arte_1619_m['Obs/GC ratio'].mean()\n",
    "print('Average ratio between Obs/GC from 2016-2019 at Artesonraju:'+str(avg_clim_arte_ratio_avg) )\n",
    "clim_arte_1619_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>Ta_Avg (deg_C)</th>\n",
       "      <th>Rh_Avg(percent)</th>\n",
       "      <th>WiSp(m/s,WVc)</th>\n",
       "      <th>WiDi(deg,WVc)</th>\n",
       "      <th>precip_Tot (mm)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>year</th>\n",
       "      <th>GC-prec_tot (mm)</th>\n",
       "      <th>Obs/GC ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.089015</td>\n",
       "      <td>84.827034</td>\n",
       "      <td>2.613762</td>\n",
       "      <td>116.966900</td>\n",
       "      <td>178.49775</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>2017.5</td>\n",
       "      <td>709.503479</td>\n",
       "      <td>0.154570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.371336</td>\n",
       "      <td>88.408904</td>\n",
       "      <td>2.319420</td>\n",
       "      <td>129.142608</td>\n",
       "      <td>188.40000</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>2017.5</td>\n",
       "      <td>881.985596</td>\n",
       "      <td>0.161626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.338453</td>\n",
       "      <td>89.858218</td>\n",
       "      <td>2.494653</td>\n",
       "      <td>115.283727</td>\n",
       "      <td>207.88000</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>2017.5</td>\n",
       "      <td>815.555603</td>\n",
       "      <td>0.101346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.482912</td>\n",
       "      <td>82.268596</td>\n",
       "      <td>3.030799</td>\n",
       "      <td>106.467502</td>\n",
       "      <td>101.83750</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>2017.5</td>\n",
       "      <td>523.286499</td>\n",
       "      <td>0.065922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.424544</td>\n",
       "      <td>75.619410</td>\n",
       "      <td>3.458074</td>\n",
       "      <td>101.855355</td>\n",
       "      <td>52.77750</td>\n",
       "      <td>-8.648339</td>\n",
       "      <td>-77.550447</td>\n",
       "      <td>2017.5</td>\n",
       "      <td>342.519531</td>\n",
       "      <td>0.012534</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   month  Ta_Avg (deg_C)  Rh_Avg(percent)  WiSp(m/s,WVc)  WiDi(deg,WVc)  \\\n",
       "0    1.0        2.089015        84.827034       2.613762     116.966900   \n",
       "1    2.0        2.371336        88.408904       2.319420     129.142608   \n",
       "2    3.0        2.338453        89.858218       2.494653     115.283727   \n",
       "3    4.0        2.482912        82.268596       3.030799     106.467502   \n",
       "4    5.0        2.424544        75.619410       3.458074     101.855355   \n",
       "\n",
       "   precip_Tot (mm)       lat        lon    year  GC-prec_tot (mm)  \\\n",
       "0        178.49775 -8.648339 -77.550447  2017.5        709.503479   \n",
       "1        188.40000 -8.648339 -77.550447  2017.5        881.985596   \n",
       "2        207.88000 -8.648339 -77.550447  2017.5        815.555603   \n",
       "3        101.83750 -8.648339 -77.550447  2017.5        523.286499   \n",
       "4         52.77750 -8.648339 -77.550447  2017.5        342.519531   \n",
       "\n",
       "   Obs/GC ratio  \n",
       "0      0.154570  \n",
       "1      0.161626  \n",
       "2      0.101346  \n",
       "3      0.065922  \n",
       "4      0.012534  "
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arte_rats_mon = clim_arte_1619_m.groupby('month').mean()\n",
    "arte_rats_mon=arte_rats_mon.reset_index()\n",
    "arte_rats_mon.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average ratio between Obs/GC from 2016-2019 at Artesonraju: 0.05510705914293407\n",
      "Average ratio between Obs/GC from 2015-2019 at Aruntani: 0.15140115350800074\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "preci_rat_df= pd.DataFrame()\n",
    "preci_rat_df['aruntani(obs/GC)']=clim_arun_1519_m['Obs/GC ratio']\n",
    "preci_rat_df['artesonraju(obs/GC)']=clim_arte_1619_m['Obs/GC ratio']\n",
    "\n",
    "\n",
    "labels= ['Aruntani', 'Artesonraju']\n",
    "medianprops = dict(linestyle='-', linewidth=2.5, color='C1')\n",
    "meanpointprops = dict(marker='D', markeredgecolor='C0',\n",
    "                      markerfacecolor='C0')\n",
    "\n",
    "print('Average ratio between Obs/GC from 2016-2019 at Artesonraju: '+str(avg_clim_arte_ratio_avg) )\n",
    "print('Average ratio between Obs/GC from 2015-2019 at Aruntani: '+str(avg_clim_arun_ratio_avg) )\n",
    "\n",
    "_=plt.boxplot(preci_rat_df.dropna().values,medianprops=medianprops, meanprops=meanpointprops, meanline=False,\n",
    "                  showmeans=True)\n",
    "_=plt.xticks(range(1,3),labels)\n",
    "_= plt.title(\" Precipiation ratios for weather stations in Andes. \", y=1.05)\n",
    "_=plt.ylabel('Ratios (Obs./GC)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uploading ice core data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "###uploading BC flux from snow\n",
    "BC_snowconc_xls=pd.ExcelFile('../BC_Andes_files/BC_snow_peru.xlsx')\n",
    "em_dep_data= pd.read_excel(BC_snowconc_xls,\"Emilie-snowpits\" )\n",
    "huas_dep_data= pd.read_excel(BC_snowconc_xls,\"Emilie-ice_core\" )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Altitude (m a.s.l.)</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2014-2015</td>\n",
       "      <td>1.567773</td>\n",
       "      <td>33</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.517304</td>\n",
       "      <td>5.502673</td>\n",
       "      <td>5.651505</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_14/15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.144440</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_15/16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2016-2017</td>\n",
       "      <td>1.598363</td>\n",
       "      <td>28</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.693070</td>\n",
       "      <td>4.184044</td>\n",
       "      <td>4.431032</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_16/17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>2.187704</td>\n",
       "      <td>45</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.627503</td>\n",
       "      <td>5.647757</td>\n",
       "      <td>5.659169</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_17/18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>2.697947</td>\n",
       "      <td>40</td>\n",
       "      <td>N/A</td>\n",
       "      <td>3.640879</td>\n",
       "      <td>2.585271</td>\n",
       "      <td>3.519208</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_18/19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Altitude (m a.s.l.) Snow pit date Thermal Year  Annual thickness (mwe)   n  \\\n",
       "0                6768           N/A    2014-2015                1.567773  33   \n",
       "1                6768           N/A    2015-2016                1.144440  20   \n",
       "2                6768           N/A    2016-2017                1.598363  28   \n",
       "3                6768           N/A    2017-2018                2.187704  45   \n",
       "4                6768           N/A    2018-2019                2.697947  40   \n",
       "\n",
       "  Snow accumulation (mwe)  Average BC concentration (ng.g-1)  \\\n",
       "0                     N/A                           4.517304   \n",
       "1                     N/A                           5.172117   \n",
       "2                     N/A                           4.693070   \n",
       "3                     N/A                           5.627503   \n",
       "4                     N/A                           3.640879   \n",
       "\n",
       "   BC Conc. Stdv ± (ng.g-1)  BC flux (mg.m-2.yr-1)  lat   lon              loc  \n",
       "0                  5.502673               5.651505 -9.1 -77.6  Huascaran_14/15  \n",
       "1                  6.743365               5.099515 -9.1 -77.6  Huascaran_15/16  \n",
       "2                  4.184044               4.431032 -9.1 -77.6  Huascaran_16/17  \n",
       "3                  5.647757               5.659169 -9.1 -77.6  Huascaran_17/18  \n",
       "4                  2.585271               3.519208 -9.1 -77.6  Huascaran_18/19  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##editing dataframe to look the same as the ones following\n",
    "huas_dep_data['lat']=-9.1\n",
    "huas_dep_data['lon']=-77.6\n",
    "huas_dep_data['loc']=['Huascaran_14/15','Huascaran_15/16','Huascaran_16/17','Huascaran_17/18','Huascaran_18/19']\n",
    "huas_dep_data.insert(0, 'Altitude (m a.s.l.)', \"6768\") \n",
    "huas_dep_data.insert(1, 'Snow pit date', \"N/A\")\n",
    "huas_dep_data.insert(5, 'Snow accumulation (mwe)', \"N/A\")\n",
    "huas_dep_data.insert(8, 'BC flux (mg.m-2.yr-1)', huas_dep_data['Annual BC flux (mg.m-2.yr-1)'])\n",
    "del huas_dep_data['Annual BC flux (mg.m-2.yr-1)']\n",
    "huas_dep_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Altitude (m a.s.l.)</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2014-2015</td>\n",
       "      <td>1.567773</td>\n",
       "      <td>33</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.517304</td>\n",
       "      <td>5.502673</td>\n",
       "      <td>5.651505</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_14/15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.144440</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_15/16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2016-2017</td>\n",
       "      <td>1.598363</td>\n",
       "      <td>28</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.693070</td>\n",
       "      <td>4.184044</td>\n",
       "      <td>4.431032</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_16/17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>2.187704</td>\n",
       "      <td>45</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.627503</td>\n",
       "      <td>5.647757</td>\n",
       "      <td>5.659169</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_17/18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>2.697947</td>\n",
       "      <td>40</td>\n",
       "      <td>N/A</td>\n",
       "      <td>3.640879</td>\n",
       "      <td>2.585271</td>\n",
       "      <td>3.519208</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_18/19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Altitude (m a.s.l.) Snow pit date Thermal Year  Annual thickness (mwe)   n  \\\n",
       "0                6768           N/A    2014-2015                1.567773  33   \n",
       "1                6768           N/A    2015-2016                1.144440  20   \n",
       "2                6768           N/A    2016-2017                1.598363  28   \n",
       "3                6768           N/A    2017-2018                2.187704  45   \n",
       "4                6768           N/A    2018-2019                2.697947  40   \n",
       "\n",
       "  Snow accumulation (mwe)  Average BC concentration (ng.g-1)  \\\n",
       "0                     N/A                           4.517304   \n",
       "1                     N/A                           5.172117   \n",
       "2                     N/A                           4.693070   \n",
       "3                     N/A                           5.627503   \n",
       "4                     N/A                           3.640879   \n",
       "\n",
       "   BC Conc. Stdv ± (ng.g-1)  BC flux (mg.m-2.yr-1)  lat   lon              loc  \n",
       "0                  5.502673               5.651505 -9.1 -77.6  Huascaran_14/15  \n",
       "1                  6.743365               5.099515 -9.1 -77.6  Huascaran_15/16  \n",
       "2                  4.184044               4.431032 -9.1 -77.6  Huascaran_16/17  \n",
       "3                  5.647757               5.659169 -9.1 -77.6  Huascaran_17/18  \n",
       "4                  2.585271               3.519208 -9.1 -77.6  Huascaran_18/19  "
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###creating a dataframe & editing to be same formatting at snowpit dataframe\n",
    "huas_2014_9=huas_dep_data.copy()\n",
    "\n",
    "huas_2014_9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Site</th>\n",
       "      <th>Altitude (m a.s.l.)</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5670</td>\n",
       "      <td>2016-07-04</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.85</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.02</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.8</td>\n",
       "      <td>Quelccaya Summit_15/16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5670</td>\n",
       "      <td>2018-08-29</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.32</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.8</td>\n",
       "      <td>Quelccaya Summit_17/18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6010</td>\n",
       "      <td>2019-07-19</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.85</td>\n",
       "      <td>2.09</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.11</td>\n",
       "      <td>-9.15</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran Col_18/19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6768</td>\n",
       "      <td>2019-08-03</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.63</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran Summit_18/19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Site Altitude (m a.s.l.) Snow pit date Thermal Year Annual thickness (mwe)  \\\n",
       "0                   5670    2016-07-04    2015-2016                    N/A   \n",
       "1                   5670    2018-08-29    2017-2018                    N/A   \n",
       "2                   6010    2019-07-19    2018-2019                    N/A   \n",
       "3                   6768    2019-08-03    2018-2019                    N/A   \n",
       "\n",
       "Site    n Snow accumulation (mwe) Average BC concentration (ng.g-1)  \\\n",
       "0     N/A                    0.37                              4.85   \n",
       "1     N/A                    0.86                              1.51   \n",
       "2     N/A                    0.85                              2.09   \n",
       "3     N/A                     0.4                              0.66   \n",
       "\n",
       "Site BC Conc. Stdv ± (ng.g-1) BC flux (mg.m-2.yr-1)    lat   lon  \\\n",
       "0                        2.98                  3.02 -13.90 -70.8   \n",
       "1                        2.05                  1.32 -13.90 -70.8   \n",
       "2                        1.61                  2.11  -9.15 -77.6   \n",
       "3                        0.78                  0.63  -9.10 -77.6   \n",
       "\n",
       "Site                     loc  \n",
       "0     Quelccaya Summit_15/16  \n",
       "1     Quelccaya Summit_17/18  \n",
       "2        Huascaran Col_18/19  \n",
       "3     Huascaran Summit_18/19  "
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#editing datframe to look the same as the ice core dataframe\n",
    "#huascaran:-9.1,-77.6 \n",
    "#quelccaya:-13.9,-70.8\n",
    "dep_data=em_dep_data.set_index('Site').T\n",
    "lat=[-13.9,-13.9,-9.15,-9.1]\n",
    "lon=[-70.8,-70.8,-77.6,-77.6]\n",
    "dep_data['lat']=lat\n",
    "dep_data['lon']=lon\n",
    "dep_data=dep_data.reset_index()\n",
    "dep_data['loc']=dep_data['index']\n",
    "del dep_data['index']\n",
    "dep_data.insert(3, 'Annual thickness (mwe)', \"N/A\")\n",
    "dep_data.insert(4, 'n', \"N/A\")\n",
    "dep_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'GEOS-Chem vs. observation altitude (m)')"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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os726nxs3bugdf3Uin5WVVW+9qXv37gGomrPx4GmzsLCweu+fvo81ACQlJeGXX37B2bNnkZ+fj8rKylr7+T7PDbl79y4qKioQERFRc6rufr169cL3339f7+PO9/XflKysLPz00084deoUsrOzoVKpau1/2PvYmqpfw/Wdsqrvdf0wnw31KS4uBlA1n7IhVlZW9Sahjo6OyMjIqPd5dXJygk6nQ0FBQZ0fkNXHqj42IYZksITIwcEBd+/erfcDJyYmBrdu3QJQNcmuW7duLXI8gN8vieqY6vulY2pqisGDB9fMHVCr1fj777/xySefYPny5RgyZAi6du2KxMTERpM6BwcHpKenIzc3l/d8h/vd/yvqfiKRqNZEyOpJsvfu3Wu0bpNSqayzrb5Eo/pLs6EkRCQSQavVNnicB40bNw4nTpzA5s2ba0Ziqkcxqkejqr311lvw8PDAxo0b8eOPP+LHH3+ESCRCXFwcFi5cCC8vL97HfVBpaSmsra3rna8lEolgY2ODwsLCOvuqf6E2tP3+qyP5xl/9nO3Zs6fRmMvLy3nHA+j3WF+6dAmzZs2CTqdDr169EB8fDwsLCwgEAiQmJuLAgQONTtTlo/qxaWhEoXp7fQkO39d/Y9LT0zFx4kQoFApERkYiNjYWFhYWEAqFyMzMxObNmx/6Pram6tewWCyus6++x/hhPhvqUz2RurKyst5J1UDjnxsN7a/ep9Fo6uyrTtIbOh4hLclgCVFERAQSEhJw6tQpTJw40VCHqdGzZ09s2rQJJ0+exMsvv9xo2+qrW/hcNVY9vH7p0iVs27YNCQkJ6Nq1K8aPH19nSP/BeNLT03Hq1Cn07t1bvzujh+oPmCFDhjRZyNIYhgwZAgsLC2zbtg2vvPIK5HI5jh07huDgYAQHB9dqKxQKMWvWLMyaNQuFhYU4f/48du7ciT179uDOnTvYuXNnvQkNH5aWlpDL5dBoNHW+ULRaLYqLi+uMiAH/nvptaPv9H/B846++zfLlyzFo0CC97kdjI476PNbff/89VCoVVq5ciZiYmFr7fvjhhxYpBVF9Pxt6DKtPKxvqkvXffvsNJSUl+Oyzz+q8V3fs2FHn9GJrqj4F29CPi/qSxMZew9WP5YPtgZb7bLCzswNQlWg1NkrUkqpHhh72lDkhfBhsDtH48eMhEomwd+/eVrlkcvjw4bCyssKVK1dw4sSJBtudOHECV65cgbW1NYYNG8a7/+p5J9Wn25oyefJkAFVXmzX0hVDtYX6l+vr6wsrKCpcuXar3F5axSaVSjBgxAnl5eTh58iS2bdsGrVZbZ8TiQXZ2dhg6dCi++eYb9OrVC2lpaQ1eScNHly5dwLIszp07V2ff2bNnodPp6p2bk52djYyMjDrbz5w5AwD13qap+Lt37w4A9cbyMPR5rFNTUyGTyeokQ8C/9+1BAoGg3nkeDfHx8YGpqSkSExMhl8vr7K++bL2hx/BhpaamAqiqevyghu5jfapPK+tz34HGH6/qEbCcnJw6+8rKympOm96va9euYFkW58+fr7OvvvvT0p8N1WUA+J5iawnVx3qYq/MI4ctgCZGnpyeeffZZaDQazJ07t8H6IfrMB2iMhYUF3nzzTQBVE2fr+9C4cOECXn31VQBVE//uHxH466+/ak3Svl9ycnLN6Y3IyEhe8fTs2ROTJ09GSUkJnnrqqXo/4FiWxY4dO2pObzSHSCTC9OnTkZ+fj48//rjOHAmgavL4nTt3mn2Mh1X9hbxlyxZs3boVIpGoTqE1tVqNU6dO1Uk4NRpNzZfp/VWQ8/LykJyc3GBBzwdVl1dYsmQJKioqarZXVFTUXG5f30imTqfD4sWLa52mSU9Px6pVqyASifDII4/oHf+gQYPg6emJNWvW1Kn5U+3ixYu14uSLz2MNVJ3eLSkpwc2bN2tt//vvv3H8+PF6+5bJZCgqKqr3NVYfiUSCMWPGoLy8vE4l9rS0NKxatQpisRhjx47l1Z++qi+LfzBZOHbsGDZs2MC7n+r5T/pO7G3s8bKwsICvry8uXLhQ672p0+nw2Wef1Xub6lGur7/+utZ8r5KSknrnCLX0Z0P1PKWGPicN4fLlywBQb+JOSEszaKXq559/HhzHYfny5XjsscfQrVs3hIWFwdraGqWlpcjMzKw5fdVQonHmzJkGFzp9cBLzxIkTUVpaii+++AKPP/44oqOj0a1bNzAMg+vXryMhIQECgQCLFi2qVaUaqPqQfP/99+Hm5oaIiAi4uLhArVYjNTUVx48fh0ajwYwZMxqc1Fqf9957DwKBAGvXrsXIkSMRHR2N4OBgSCQS5Obm4vTp08jJydFrpKo+zz33HG7evIm1a9fi0KFD6NWrF5ycnFBYWIjU1FRcuHABL7/8cs1E29bWs2dPeHl5Ye/evdBoNBg4cGDN8Hs1lUqF2bNnw83NDd27d4erqysqKytx8uRJJCcnIz4+vlYdki+//BKbN2+u93RIfcaMGYMDBw5g9+7dGDVqFAYPHlxThygjIwMjRoyoSW7uFxQUhCtXrmD8+PHo27dvTR0ihUKB119/vWYCqT7xi8ViLF26FE899RTmzZuH8PBwdOnSBVKpFDk5Obh69SrS09Nx/PhxvZfC4PNYA1W1cY4fP45p06bV1Ey6du0azp8/j2HDhmHv3r11btO7d29cvXoVTz31FCIjIyGRSBAcHFyzZld9Xn31VZw7dw6rV6/G1atXERMTU1OHSKlU4t1336130npLmDZtGjZt2oQXX3wRQ4cOhZOTE5KSknDs2DGMGDGCd7FPHx8fODk5YefOnRCLxXBxcQHDMBg7dmyDtYiAph+vJ598Em+//TYee+wxDB8+vKY+kEajQXBwcJ1kdfTo0di1axcOHjyI0aNHY9CgQdBqtdizZw9CQ0ORlpZWJ4aW/Gzo1asXrKyscPz48SanJbSUEydOwMrKCr169WqV45HOzaAJEcMwWLBgAUaNGoW1a9ciISEBO3bsQEVFBczNzeHh4YHHHnsMY8eObXBi9ZkzZxoc3q7vyrQnnngCcXFxWLlyJU6fPl3zC8PZ2RlTpkzBzJkz6y3w9frrryMyMhInT57E5cuXsX//fmi1Wtjb22PAgAEYP358ox/89RGLxfjggw8wfvx4rFu3DufPn8fly5eh0WhgZ2eHkJAQvPnmmw+9SKJYLMby5cuxdetWbN68GYcPH0Z5eTlsbGzg7u6OF1980eil7x999FF88803AOpO8AWqRk9ee+01JCQk4OLFi9i/fz/Mzc3h6emJ999/v2aE52F8+eWXiIqKwsaNG2sKZ/r5+WHOnDl47LHH6r2NtbU1fvrpJ3zxxRfYtGkTysrK4O/vjzlz5tR6TPWNPzg4GFu3bsVvv/2Gw4cPY9OmTRAIBHBwcEDXrl2xYMGCOgUW+WrqsQaqCpSuWLEC33//PXbt2gWhUIiwsDCsXLkS6enp9SZEzz77LBQKBQ4dOoQLFy5Ap9Nh3Lhxjb4vZDIZ1q1bhx9++AH79u3Db7/9BqlUirCwMDz55JOIjY1t1n3kIzg4GCtXrsTXX3+No0ePQqvVIjg4GMuWLYOlpSXvhEgoFGLZsmVYsmRJTSLHcRx69uzZaELU1OM1ceJEcByH33//HZs3b4a1tTUGDRqEl19+GS+88EKd/hiGwTfffIMff/wRmzdvxurVq+Ho6IgJEybg+eefR2hoaJ3btORng6mpKcaNG4c//vgDycnJBi+UmJKSgkuXLmHmzJmdco080voYju+kGEIIIZ1a9WjqlClT8M477xj0WJ9//jlWr16N3bt3G2wUkZD7GWwOESGEkI7F3d0dM2bMwPr16w1awykvLw9//fUXZsyYQckQaTUGPWVGCCGkY3nuuedgZmaGjIyMZlfib0pmZibmzp1bs7AuIa2BTpkRQgghpNOjU2aEEEII6fQoISKEEEJIp0cJESGEEEI6PUqICCGEENLpUUJECCGEkE6PEiJCCCGEdHqUEBFCCCGk06OEiBBCCCGdHiVEhBBCCOn0KCEihBBCSKdHCREhhBBCOj1KiAghhBDS6VFCRAghhJBOjxIiQgghhHR6lBARQgghpNOjhIgQQgghnR4lRIQQQgjp9CghIoQQQjqhhIQEzJkzB5GRkejevTtGjhyJdevW1eyfMWMGgoKC6vx7+eWX6/SlVCrx8ccfIzY2FmFhYRg/fjwOHDhQ73FPnDiByZMnIywsDL1798Z7770HhUJhsPvJl8jYARBCCCGkdW3evBlvv/02Jk2ahNmzZ0MsFuPu3bvQaDS12nl7e+O///1vrW02NjZ1+ps/fz5u3LiB1157De7u7ti8eTPmz5+PFStWoH///jXtEhISMG/ePAwaNAgvvfQS8vLysHjxYty+fRtr1qyBQGC8cRqG4zjOaEcnhBBCSKvKzs7G8OHDMX/+fMydO7fBdjNmzIBCocDWrVsb7e/IkSOYN28eli1bhiFDhgAAOI7DtGnTUFJSgt27d9e0nThxIrRaLTZt2lST/Jw4cQJz5szBV199hZEjR7bAPWweOmVGCCGEdCIbNmwAUJXwtIR9+/bB0tISgwYNqtnGMAzGjRuHu3fv4s6dOwCA3NxcXL16FWPHjq01EtS3b184OTlh7969LRJPc1FCRAghhHQiZ8+ehZ+fH/755x8MGzYMXbp0QVxcHBYvXgy1Wl2rbUpKCqKiotC1a1cMHToUy5cvr3NaLSkpCf7+/nVOdwUFBQEAbt++Xeu/AQEBdWIKDAxEUlJSi93H5mh0DlFJSQnKyspaKxZCCCGkxVlYWEAmkxk7jBqG+m7lOA4Mw9TZbmVlBSsrq5q/8/LykJeXh48//hgvvvgi/P39cfr0afz444/Izs7GkiVLAAA9e/bEyJEj4evri/Lycuzfvx/ffvstrl+/ju+++67W/fH29q5zXGtr65r99/+3evuDbW/cuNHcu94iGkyISkpKMHToUMjl8taMhxBCCGlR1tbW+Oeff9pEUlRSUoLekX3ACnUt3reJiQkqKyvrbJ8/fz4WLFhQ8zfHcVAqlfjyyy8xatQoAEBMTAxUKhV+/fVXvPDCC/Dy8sJLL71Uq5+BAwfC3t4eK1aswLlz5xAZGVmzr75ErKF9DbVtrI/W0GBCVFZWBrlcjj///BPOzs6tGRNpo7Zt24Y33ngDN2/eBAAoy37hfdvfs0/ybrvxTg/ebbs45fJuq2b5XVSZeNeF//F9s3m3fcM9gXdbL9kLvNsKYM67rT4YgaVB+uVLwPP4l64k4k7aSvSLc+LV/rgih3cMox0n826bU7aed9u0Sv4/NBWsKa92bqJi3n1K9PjeKdRJebdNquT/3tGBfxAarvZ7tzBdifRLxeg+2q3Ol6itqPbIy9nthbi8VY6ysrI2kRCVlZWBFergmO4HkVbcYv1qRRrkeSTX+519/+gQgJrHITY2ttb2uLg4/Prrr7h+/Tq8vLzqPc6jjz6KFStW4NKlSzUJkUwmqxn9uV/1gEr1iFD1cRtqW9/IUWtq8hvC2dkZ7u7urRELaeOGDRuG559/HlKpFPb29ihV8P/CtNDp8cYvtODdVGLPv3YFxzMh4gr53y+xfQnvto7O/L8A3GzrXtbaEAFjmMSFERj3w0kgsGq6EYArV2/B19cMzi4SXu1lpkLeMbi68H8MuFL+/SpV/F8LQh2/qZ4OerzFTPT5Ia7j3zhHxb+Si47jP4VVfV9CpCxWI/1KIboOc4GlU93n3FpcOwaW06EtTpcVacUQafm9ZvXB5zs7MDAQly5danB/Y5e+syxbp42/vz/++ecfsCxba3v1nKHAwEAA/84dSkpKqpOM3b59G+Hh4Y3GbWht71VC2iw/Pz+4u7vj8ccfN3YohNQoKCiGrV3Lf7GQtoXVcchKlOPC5nT49baHrbsZr9tVVrT8qan2rvrS+CNHjtTafuTIETAMg9DQ0AZvW30Jfvfu3Wv1p1AocPDgwVptt2zZAh8fH/j7+wOoStZCQkKwffv2msQKAE6dOoXc3FwMHTr04e7YQ6LCjEQvb7zxBt58800AgLzyNO/blelMeLfVavj/0va3yOPd9miuP692UpmKd5/Pu9VfibU+PrJXebfVB8uV8m6rz2gSxxp3/iDbdBMAQH5BNgY694W1Cb8vyBCTb3nHIBbyHx1PVRXyb6vhd3oPAIq0/E6JmgnUTTf6f9aCCt5thbyfCcBNXMS7bRnPU4EAUJ6Sj0vHS2FuLcSEcRawdykFUP/rXib8974pS3Ww5soA8B9x7Qzi4uIQFxeHDz/8EMXFxQgICMDp06excuVKTJ06FW5ubjh37hx+/PFHDB06FG5ubigvL8eBAwewadMmDB8+HD179qzpr3///oiJicHbb7+NkpISuLu7Y8uWLTh//jyWL19e69ivvfYannzySbzyyiuYMmUKcnNzsXjxYnTv3h3Dhw9v7YeiFkqIiF4KCwshlfKfU0CIIWk0WpQrVbC2ptdkR5WVXI6UE6WIGmQFZ0/+P6wA4OKpCvgEmuDsfgMF14598803WLp0KX7++WcUFxfDxcUFL730Ep566ikAgIODAwDg22+/RXFxMQQCAXx8fLBw4cI69YsYhsHy5cvx5Zdf4quvvoJCoYC/vz+WLVuG+Pj4Wm179+6NFStWYOnSpZg3bx7Mzc0xePBgvP766xAK+f8YNgRKiIheDh48iC5duhg7DEIAADqdDiKR0Kjl/onhsCyHxJMliB2ofzKUdF2FghwtYgbwm4vW2ZiZmeHNN9+sGfF/kJeXF3788Ufe/VlYWOC9997De++912Tb6hGqtoY+RYhe7t69i4iICGOHQQjpYNQqHVRlWrBs1WpS5aVaXD5YBHNrEZy99J8jdvFkOXrFm0Msoa85wg+NEBG9lJSUNDrhjpDWJBQKwbIsiorKYWvLbw4RaXvk+Wqc3pYHjgPUKhYMALFUACdvU/QcZg+GUerdp6e/BPu3KKAqF4DmEBE+KCEivKWlpUGpVBp18T1C7icWixAXF4FDh45hwgTjXrJL9MNxHIqyK5GXqkLq9TKE9reBW4A5OI4DxwKM4OEK9fUaaIGYAebIzQDO8b/2gXRiNJZIeCkoKEDv3r3h6elJdalImxIa4oe0NP5FCUnbkH5TifP/VF2Z1+sRR7gFVF1NxzAMBEKmRaoWMwwDkdi41Y9J+0EjRKRJKpUKMTExYBgGV69eNXY4hNQikYih0/G/NJwYX3mpDjdOlKD3WEdYO1ANKdI2UEJEGlVUVAQ3NzeoVCq89NJLdUrAE9IWcFzDC1u2N6yOw6nNuSjJrYSjjyk8Yj0gMWv/H9WaShZZKSqk31ahIKsS/pH2lAyRNqX9v8uIQV26dAkqlQpisRg//vgjvvrqq5p9d5UXefdzumAs77ampvwLzPU0T+HddpuS32TwKPc03n12t+rNu60+dHoURRTqscSGPkUcDUGoR6FDvkxMJLC0DECFMgR2dk0/Ft0duvHuW6W5zrttKcu/FlKOuuE41eVaZOTkIfzRQOTclOPuoXREj3FqMtnTp4CiXI+iiLZC/hOaQ8S137ulCh3SU9VITalERpoarm4SDAw1gc9YGwQ58V+vT5/XeIW69ih2VnkZgB28b086L0qISKPi4+NRWFiICRMmID8/39jhEFKv4CAvXLp0C4MGRRs7lIcmMRMhINYRifuzET7OAym7S3Bmey5MzOoWrTMxFcLJxwy2rq1bmDI9RYOr51SoqGDh6CyCo6sIji4iWNlzyEhT497dqgRIVcHB3VMCHz8TDBxiBakpTVslbRclRKRJtra2SElJqVln5sKFC+jRo4dxgyLkPr1iQvDLr9sQFxcBsbj9f6y5dpWhrKASSUfzEDvOGbkp5WB1HB5cIF5VpsPFvfnwDbeCV5Th49JqOJw/WYF7SWrEDDCDhZUABTk65GRoceWsCrqyCtg5iOEXYIIhI6xh7yjqEKcxSefQ/j85SKsIDg7Gnj178M033+Cll17C1KlT8exnxo6KkCo2NlZwcrLFneQMdAn2NnY4LcKvjwNOrboLldIEbkEWDbZzD7bAsXVZiPAXw8rGMB/p2ekanDlWAUWxDh6+Yox9/N/RHntHEYLDqqpIm2lNITGhUSDSPtErl/CyevVqZGVl4eWXX4ZYLEZZWZmxQyKklqAgL9y8ec/YYbQYoUgA7552OL87H2pVwyu2m1qK4NPdCueOlEGn5Wq2cxwHluVQqWKhLK19e52OQ1GeBpUqfvOOEo5UoEuYCSbNscaAERYNnvqiZIi0ZzRCRHixt7fHxx9/jP379+P27dtwc3PD8X/O4Yu38jDtWRtMeYoqwRLjCg7yxpEjF6DT6Yy+SGRLcQuVQVIux/mdeYgc49TgMhS+4VbIOlyA9d9XzfOruuoOYBhAJGEgYBhY2gjh4WcCeaEW6SkaSM0EUJWziBlsCXe/hucglStZlJWyCOgmodNfpEOjhIjwtnDhQixcuBATJkzAjz/+CI7jmr4RIa3EysoctrbWuJ2U3mFOmzEMg66xtrh2uBAnN2QjcqQjzGXiOu2EIgFiR1hDq+HAMNVVnv+t9MyyHLLuqZGVqoaNgwghvS1hZilEUZ4Gh7eUQCBk4Opd/+Kp5UoWFpYCSoZIh0fjm0RvGzduxK1btxASIYWltYBGh0ib0b9/OPbtT4BGozV2KC2GYRiEDLCDV6glTm7MRkF6RYNtRWIGQhEDgaB2pWeBgIG7rwmiB1oiONwMZpZVI2i2jmL0G22N0/8okJtRf7kLVTkHqRklQ6Tjo4SINIuLiwtuXFbhyVdtjR0KITX8/Tzg7eWC3//YgaIi/rWc2jqGYeAdaoWIYQ64+E8+7l6Ut9gIrYOrBH1GWOP4TjnSbqvq7K9QsjA1o68K0vHRKTNSC6u5wavd00+/CVNLEbpPDcRdTdPts4r5V7h2tVHwbluks+Td1s6SX4G5Ybb8i/FJhUN5tzUUfYo46kOfYngCht/zwOkRK6PH8e83ZnQ/nD13A7/9vh2zZo6Gvb2sRfptiqWgbjLRkCBpFu+2ZfcVUXTxEGPgZEec2ZkPZUEFesTbQSjSf/TGWlB7lMnaC7AbL8XhXcXQlkgQ3susZl+BUgIHSzFkQvMm+3WzGMc7BomYf4FMgYD/54dY3LXW36VmeaDCjIQPSvuJ3hSKMqxbtwsTX/U0diiE1MEwDKKjuqFfv3Bs234ULNux1jkzsxIhdqIT1BUsEk+VtFi/9k4ijJ5qheRENW5dVaFUocPtaypcu1wB/8DWLfxIiDFQQkT0NmXqy7CxscaAKc7GDoWQBkVFdoVAIEDCGf4jfu2FSCxAxFA7pCWWoaKs5eZLSU0FGDTGAjcuqrD771LcvFKJcZNt4OhcdyI3IR0NnTIjevnp57+x78ApnDj6J25hmbHDIaRBDMPgkTH98Otv2xEY4MlrnbP2xMRUWGfydEuwsRdh3EzZv3+L6GuCdA40QkT08sprn+PFBTMQE9Pd2KEQ0iRbW2v06xeOrduOQKdruLhhe6XVcBCJ6QowQloCJUSEt6SkVJSXq/DRhwuMHQohvEVHdYVOx+J2UrqxQ2l5XN31zQghzUMJEeHlq69/R4+IR+HkZA8zM7Omb0BIG6FQKCGXl8HF2c7YobS4qmrUlBER0hIoISJN0mq1ePvdbzBh4jBcOLvB2OEQwltWVj5+/X07YmN7QCbjX6KhvRCJBdBqOtZVdIQYC82WI7WoKk/V2fb8/N8hEjFYsXwMBII7UFXeAQBcK3fj3a+6QsK7rZlj/RVz63O0OIB325Eu/K42CjHJ4d2nPtpCvSBDYblSXu341itqCTcSU7Br1wmMHh2L4CDvZvUh1aNWTj+nj3m3La7YzbvtvqKGa4OZmnJApRoSMzHydPxfBy4i/nWQrE2CebdtE69FVvHA3/xem4RQQkQadft2Nv5YeQI//TgHAgENKJL24dTpq0g4cw2PTxsOFxd7Y4djMBY2YhTnqGFpQ5fFE/Kw6BuONOr5BSsRGOCEx6b2NnYohDSJ4zgcPHgWFy7exBOzxnToZAgAPIPNkHaz3NhhENIh0AgRqaOgoBRTH/sO165noKxMhe1bXzF2SIQ0iWVZ7Np9AtnZhZg9czTMzU2bvlE75+JjisuHS6BUaCG14n9amhBSF40QkTp+/uUIEs4k48UXhiEr41sMHNi16RsRYkRarRYbNx1EUZECM2eM7BTJEAAIRQzcA0yRep3fOn2EkIZRQkTqmDQpCizLYc4TcbCyokvsSdtWWanGX2v/AQBMe2wYTEw610iJf7glUq4pUVnR8QpPtgRdB1vLjhgOJUSkDhuZOYRCAY4cvWnsUAhpFMuyWLtuH2QyS0wYHw9RJ1xmwtxaBFd/U9y5QFdT1adcqTJ2CKSdoISI1HIjMRPBXd+Eq6sMj4wJN3Y4hDSqqEiBrKx8yOVlWP3nbpw5ex05OYXGDqvVBUdZ4t71MlSU0SjRg8qUFcYOgbQTlBCRGiUlJegX9zFCurnjxrXPIZV2rlMPpP2xsDCFt7cLwsICEB3dDVlZ+Vjz1x7cSEwxdmitytRCBBdfM2Ql0xVnD1JSQkR46nzjy6RevXv3xunTp2EiZfD6ajPsy/+uydtcLBrEu39Oj9P4LMd/KQIdxz+njzS9y6udg2kU7z4NpS0UuDNIIUk9foIJeLxmTCTA1Mm9wPz/4xUc5I3Em/dw8uQV+Pm6PfR8Ikaf50HH/5SVuR4FH11EJ3i1s3IxR15aBTzCmv5Yr+R4Hx4iAf9imvq8bjk9Xl/6zAJ6sF+dHs8L6dxohKgT+uyzzzB69Gio1VUVoY8fP46EhAScOXMGS/cFUwFG0q4F+LtDJrPA9z9sRHp6rrHDaTUWNiIo5Vpjh9HmWFrQhSGEH/rm62SuXLmCRYsWYe/evVi4cCFSU1MxbNgwDB06FFFRUbB3odNkpH0TiUSYMD4eI4b3wbr1+3Dz1j1jh9QqSgs1sLSlitUPcna2MXYIpJ2ghKgTOX78OK5cuQITExNotVocOHAAvr6+6Nq1K3bt2mXs8AhpUUGBXpj22DDs2nWiUyRFuSkVsPeQGjuMNocB/1PwpHOjOUQdGMuyeOaZZ7Bx40Y4Ojri1q1bMDExQWVlJQDg2rVrWLhwIT755BMjR0qIYbi6OmDqlKH4a+1eCIVCBPh7GDskg2FZDhk3leBYwNJODBNTIUxMBRCK6XcvIXxQQtRBlZSUwN/fHxUVFZg/fz6uXbuGWbNmYeHChWBZFqmpqXBxcYFUSr8oScfm6uqASRMHY9OWQwjvHoS4uHAwTMcbNeg5wgE5yeXIS63AvaulUFfoUFmuA8MwYP4/J5JIhTC1FKLIRomArhK4edIpNkKqUULUQUVFRUEqlSIrKwsSSe15QQKBAD4+PkaKjJDW5+npjLlPPoqfftmCwEDPDrnoq1gigEcXC3h0sajZxnEcdBoOHABwQGW5DqoyLSzy5LiUoKKEiJD7UELUAW3btg13795Fbm5unWSIkM7K3NwUdrbWkCvKOmRCVB+GYSCS/DsaJjYRwMJGDFcrMVKTNUaMjJC2h04ud0AJCQmwt7eHvX3n+NAnhC+5QgkrS3Njh2F0JUUsrG2Exg6DkDaFRog6IIVCUWtuEKu5wfu2N1TuvNsWKPl/sUjM+P8atTPhv3L3GLtLvNsGW4TxaqdPIToty7/omz5F6wxSFFHPGIyN5fR4bMHvfnUN9sb163fh6urQ3LAapNam8W6bpvidd1sLQSWvdmEm/I9/MTUA4f6W8LZwbLKtlUkf3v3q8/oSivhPcNdp03m3VWmu1/q7UkuFGQk/NELUAcnlcpiamho7DEKMKi0tB8ePX8LVa3fA/v+K52FhAbhyNQllZZ1viYuMVA1OHirHzr9LIZer0b0HjSATcj9KiDoghUJBCRHptMrLVdiw8QC2bDuCiopKnD17Axs3HQQA2NvL0D0sEIcOnzdylK2nopzF4T1KnDhQAUsrAUJ7SvH4jCCIRPTxT8j96JRZB9StWzfs3bsXKpWKLqsnHYZSqYKZmUmjl8yXlirx2x87EBzkhbGP9IdYLIJOp8P3P2zC7aQ0BAZ4wt3DEWfOXG+wj46iqECH6xcrkZKkRmA3E4yfbgbx/0+wFlNtIkLqoHdFB/TRRx9BKpVi5syZxg6FkBaRnlGAr7/djpWrDqO8vP45NSpVJf78ay8iegRh6JBeEIurfu8JhUKMGNYbu/echEajhVgkQom8DJWV6la8B4bHcRxuXavE1r9KsXqFHLs3lcHcUoBJs63Qq79pTTJECKkfJUQdkEAgwEcffYRt27YZOxRCWsSZM0kYOqQH7OwscOxY3YsEWJbF3xsOwNvLBX37dq+z38/PHe5ujjh27CL8/Nzh4myHS5eTWiP0VnPlXCWuX6pEZF8pJsy0xLS5VojoJYWpGX3ME8IHvVM6gLKyMowePRqenp54+eWXUVBQgKysLFhZWRk7NEIeGsdxSE7OQVCgGwYOCMW162nIz699Fd7hw+fBcRyGDolp8JTa0CExuHDxFvLzixHZsysuXLwJjuNa4y60iuRbavSNN4ObpximZoIOWY2bEEOihKid+/jjj2Fra4uEhATExsZi5cqVcHBwwJIlS+Dr62vs8EgnoVRW4uLFe7h8JQ1FRWUt2jfDMPDycsCVq6kwN5ciLq4rtu88h9LSChQXl+HwkWu4cu0OJoyPh0DQ8EeapaU5+vULx67dJ+Hl5QytVoesrPwWjdVY1JUcFHIW9k5UW4iQ5qJJ1e0Uq7mB/7y/FJ/990e89eY8/Oe95///y+AdXLt2G59+/iMemzISrOYGdqZP5d3vnuzhvNuqNfw/fHu6868jMtLuKu+2/W3qnh5piIgxbg0eQ9UWMoa8vFLk55fh2vUsKOQqlCul8Pd3AcdxOHI4BXZ2lnB0sIZQVPs1ImD+vfpRn9EZkcgcx4/fQWi3Lojq2QMlxSxW/HAQEokYfr6umDVjFMzNm76yMiqyCy5fvo1r1+8ivHsgLl66BTe3hmvxcHo8Z7dKvuXdtpQ14d1WwjT9uzU9XY0evv3RzZbf+8Fcj9pC+tSDqlDzf+9KJL15t2UECt5tH6yFJKSf/YQnSojaKbVajS+W/Io335iLD95fUGtfSEgg1qxebKTISGewb/9NaDU6RER4wsnJEnY2/jA1rfqS1+l0uHMnB3JFOXQ6ttbt7k+I+Kg+62NpaQY3VztIJGIIBAIMGxqJYUMj/20n4Hd6WCAQYOiQXti5+zhmPD4CK37YhJEj+jY6stQepN7RoFcg1RUi5GFQQtROffX1SqjVakyfNsbYoZDOiOPQv38AvL3tAAAS0b8jHkKhEEFBbvXeTMDwrwJuKF5eztBotKis1EAoFECprIBlO17Oo0zBIj1Fg+kjKCEi5GG0759Fndjzzz2GyJ4hCO3xCL76+ndjh0M6GY5Du520yzAMbGRWUCpV8PJyweUrd4wdUrOVynXYtaEUPWKksLLifxqOEFIXJUTtlIWFOU6fXIcP3l+A19/8AqdOXzJ2SIS0GwxTNYcpvEcQkpL4rwHWlmSmarB9XSm6hZsgJIIKsBLysOiUWTv31pvz8NfanXj2uQ9w6sRfMDWlD0ZieBzHoZ0OEAGoGiXiOA4eHk7IyyuCUlnBa1K2sVSqWJw6VI6CXB3EEgaVKg4sy2HgCHO4eIiNHR4hHQKNELVzJSUKhIUEITUtCz//sgEFBcXGDol0Au35lFk1juMgkYgREuLXppfyUFdy2Le1DGIJg0GjLdAn3gzDx1tg4mxrSobaM4Zp+X/koVBC1I7t238Sdo698de6nSgtVaJ37x74c812VFSojB0a6eDa+wiRTsdCKKwqCdAl2Acp97KMHFH9KspZ7N5YClsHEfrEm8HGXggHZxGsZEKIRO34CSCkDaJTZu3YS698BqDqkuTS0nIEB/mgoKAYv6/cgkEDeyEgwKvd/4onxBCqEqKq34OqSnVNyYC2oCBXi5wMDTgWSLxUga6hYoT3ktJ7mRADo4SoFXAs/6JinC6DV7szWaMwcGwJUu4BpWXlmD3fGjcUk2ETwkEu1eDXzd9BIGQQ3U+KJRWP8z5+Zgr/S3e7deFfbHGG40nebaNlQ3m3FQmMexm3iufzBQAi8I/1weJyjTFUwcfGYmBgCpHQSq849cUYsG+dToe8/GJkZuUjKSkNiTdTMDAnEs7OdrXaafR4fkt0/OfvuYgltf7mOA7p99Q4c0qJinIW3n4m4DgOEx6xQ/+wb3j1Ka/Yy/v4+twvUyn/Yq36FFuEHu9dAcd/GSKx0L3W3yJB250bRtoWSojamaNHz+Hrb//AgcNpKFOwsHMQYPITFnj6NRsAVfM6fAIk8PYX494dDQ7vKYfcJg1WoR70C5O0mKpTZu339dS1qy/OnL0OD3dHhIUFICjIC3+u2Y3x4+Lh4+PaqrGUFGtxZH8plEodontbwDfABAJB+31sCWmvKCFqw1JTM7F56wEcPXoW164lISMjB2qNFv7+npgwwxJTn7SEzLb+p7A6MXJ0EWHXb3Ko80phGxsIoZQmYZKWkZKSj/JyNRwdraBQqCE1EUMmM4dYLATDMNBotJBI2ubrLbZvd8T2rb3MhaODLTZuOoDhw/ugW9fWWQcwI02Nf3bK0TPGHKE9TCkRIsSIKCFqg7Ky8jBuwgKcO38Nlpbm8PR0QZ8+4RgU3wtTJo+ARCLBmaxRvPoytxDAcUgI5BdTkbvzEmRRvjD1sG3Xv+6J8VlZm+JeagHu3MlFUbEStrb2qFSpoSitgFgkhIWFFAWFpfDzdcbIET1hadn2T1t4e7tg+uMjsWbtXpSVVSAmuptBj1dWqsP+3XIMGWkNDy9J0zcghBgUJURtgEqlwpChj6KwsBDm5mJcvJgIHx93XL6wGSEhgQ/dPyNgIOvpDamrDMVn76Lsdg5kEV6Q2Fq0QPSkM5o4IbrW3/fPJcrLk6NCpYabqy0OH7mG9RtO4IlZja9E31Y4OdniiVmj8edfe1BWqkRsPzO9fzwU5WuRdE0FjZpDUJgUDi51R8kUch22bSxG955mlAwR0ka0/U+oDi4x8RYCg8Jx40YiuncPhZ2NNZYtfQe3E3e3SDJ0P6mLDM6jesDUzQb5B28g/9ANVOYp9Fp1nJCmODpaw8vTASKREIPiw8AwDBIT+U/iNTaZzBJPzBqDe6k52L79Yp0FahuiLNXh0HYFDmxVQGomgJ2TCEd2luLsEWWtdtnpamxZX4zQHmYIj2y/a6gR0tHQCJERnDt/ERv+3owjR0/gzJnz6N49BOfOHoWjowPvq8yaixEKYNnFFeYBTlDeyUPRiSSAAcx8HGDm4wBOpwNXqQYjEYMR0cuDPByGYTCgfwi2bz8DX18nmJsZf3FXPszMpJg5YyTWrl+J9X8nYML4KEgkDb8frlxNx46tJQgKM0XcCEsI/79GkF8XE2xdVQKfYBPYO4lw+XQ5kq6pMGaYDbx9286l/oQQSoha3euvv4Mvv1oGB3t7BAT6Y+uWtRg9mv9lrS1FIBLCMtgFFkHOUBeWoTwlH3l7r0KeewuMWAyBqRQWsdE014g8NF8fJ5iYiFFaqoK5mbGj4U8sFmHSxCjs3n0Ff6w8hjFjIuDs9O+pwfLySuTkyHHxUiry80sxZLw1bB1qf6RKTARwcBahKE8LhgFuX1VhzHQZvGkhVkLaHEqIWtny73/Cu++8iffff8vYoQCo+gVvYm8JE3tLyCJ9wP1/HaKyo6ehzSuA2MnByBGS9kQuV6K8XA0XF5ta2zUaHUSi9neGXiAQYOTI7rhyNR1r1pyEg4MVNGot5IoK6HQsHBysEBTojDGjw3FOfr7O7VUVLHLSNYiJt8CBLQqE9zWD1LT9PQ6EdAaUELUGtrTmf62tLKFUFtfadr+i0p95dbmuOIb34bNuOfJuK3asAACY93RH+cUrYITekHg6QVDP5dMzXfgXW4yw5h+vPsUWDVkYkA9RA89jffSJ1dj3S58YysoqUFSkxNFjV5GXVwKRSAA/X1eMGhkDgUAAlmVRWqqDqdTWYMUWBQL+hftYPQqlVhe9DAmxRkBANDIySmBqKoalpQksLEzuG0FVwktqV+f2ikotrEWVuHUIcLe2Qny4PRiGgaf1y7xjEIlDeLWz49kOADjOMMU89Sm2SEhbQwlRK3Nzd8H167eMHUaTJO6OEEhNoEpKQ8WVOzAJ8IBZqJ+xwyJthFarQ3ZOMRISbiMlJReWFjL07t0VYaE+YFkOGzYdwyefrYGLsy28vZ0hEgmRmVWAoCAnY4febCYmIvj58a/kDgCWVkLEDZCB4wBff1M6BU1IG0YJUSsLCvDDmXOXjB0GLyJ7a1jYh0KnUKL02GVKiDqxwsJS7Nt/CaVlKlSUV0JZXgk7WwuEhHjh0bExkIhlNW2FQuCxKQOh1epw5cpdlFdUYszoXvD3a90K0G0BwzDoGkrlLQhpDyghamUDBvTG5q27jR2GXgSWZuC0WrCqSgikNBm0M8rNLUFlpRajRvaEqVQCa2uzJusKiURCREQEtFKEhBDycCghamXjx43AvGfegEKhgJUV/3kPxsQwDES2VtAWKSBxffhJ1uXlWqSllsLN3RyWllSUrj3QanWwtjaDq4utsUMhpEMQWltBxLZcBXdOUNFifXVWdLlDK7O1tYGJiQS7dx82dih6EdnJUJmcBV1p+UP1czOxGL/9fAPXrhbij99uYtfOeyjIpzdyW6fVtc+rxAghhC8aITISYTv7cpEGeaDiqgalhy8CAgYCMylOZBaB44DAcHM4evA7lbbvnzRMmhwAZxczVFRocflSAf5edwdOzmYYPNQDVlY0YtQWabUsREKhscMghBCDoYTICDQaDfz9vI0dhl4YoRBmPQJg2t0fbFkF2IpKePvfgrqSw/mDcpiaC+DVxQyOHhKYWQqhUXMoyFRD5iCGmWXVF6lWy0KjZuHkXDVMbGoqQq/ezoiMcsS5s3n468/bmD4jCFLjX3FOHqDTsRCKKCEihHRclBC1Mq1WC5blEBjoa+xQmoVhGAgtzSC0NIObf1Vi4xVsiqy7KmTcUeHayaoaLywLSM0FUClZmFkKkWufBHmJGr5+1nUuPRaJBOjV2xlaDYutW1Iw/TFPSCT05duWaLV0yowQ0rFRQtQKtJprNf+fdCcTDANIxHeh1dRtm162mVefx3Me4318k3z+X2Rdw7N4t422uK8mS3jVP47jUFamg07Lwlomhk7HIT9PDTHnCzMzMRwdG149vH+cFfbuuYu//76KSZNCWzwpMkSxQ5M28A5qjSKOWq0OQmHrJkT6FFs0VL/mpvyX1fEx6WOQGPh3yr8oIgMqoEjIg+gnXyv76psNsLLquCtcMwwDS0sRZDaSqqvTRAK4uErh4yODk5N5o4XpGIbBsOG+sLc3w88/n0ViYh40Gl0rRk8aotWyENEpM0JIB9YGft92HiUlZfjt971Y8sUzxg6lzWIYBsOGBSItrQSHD9/Fzp03YWlpAhcXK8TFeUMma7nLVAl/Oq2OEiJCSIdGCVErmvnEf2FnZ4XnnnnE2KG0eZ6eMsycGQGdjkVJiQq3buXjjz8uIDbWGxERrrQEQivTsWyrnzIjhJDWRAlRK3nlte/xz75z2Ln9U2OH0q4IhQLY2ZmhTx8vBAU5YNeuW7h0KRthYc7o2tURmRk5OHT4NszNJIiN9dd7rSnCD8dxoByUENKRUUJkYFqtFrPn/A9r1x/CmtVvY9DAcGOH1O6oVFpcupQFa2spJk0KQU5OKc6dy8TatZfh6GiH6Y9HobJSi127rqFnT0/07u1DI0gtjB5PQkhHRwmRARUVFcHf3x+VleVY/9e7eGQM/6tQyL9yckpx+PBdWFlJsXt3VdkCsViA7t1dMGpkBBwdq66ycnKywubNl5ByrxC9Ynzg4GABsVgIU1Oxke9B+2dqaoLCglJjh0EIIQZDCZGBsCyLqKgoWFhYID3lD0gkVIG5uTw9ZRgyJADHj99DZKQbYmI8YPL/17vff8m5lZUU06dH49KlDJw8mYzi4nJUVuowbVok3NxkRoq+Y+gZ4Ytfft0PHx8n+Pu7GDscQghpcZQQNRPHKhrdP2XKLGRlZeFeyjWIxBfBcpW8+s3W8rskPy/Dhlc7ADDjeDeFr0UB77ZiIf9aKiI9aqQ8WFdHKACio2QICvTBn2vOwt9PAA+P+mvvCIUC9OzpiZ49PQEA586n4fiJZEycEA5DzAnWpwaQjpUbpF99CJjm1Z+xkVli6uRhWPf3YTwyxhwB/m4tHFldbBPvsfsZqmYRw/B/HoRCKrHeFrBc7ZFMFkojRULaG7psxACWffcjNm7cih071sPR8eFXhydVrK1N0aO7O65cyeR9m+5hbuA44OdfTuLylTSwLGvACDs2d3cHTJk0ANu2n8TRY1eg01GNKEJIx0EJkQEsWfwtHn10DOIH9jd2KB1Ojx7uuH07D8XF5bzai8VCTJkcgSGDg3HpYio2bjoHrZa+yJvL3d0Bc58cifSMfKxavR/l5Spjh0RI+2RhDlhZtNw/i45b8Le1UEJkAN1CuuDypSvGDqNDMjOTILafH/5aew5yeQWv2zAMA19fe0yf3hcMA2zYeJaSoodgZWWOaVPj4eHhgF9/34Pz529Dra5nHRpCCGlHKCEygOXLv8S91DT89dffxg6lQ4qK9EJkpBdW/3kWeXn8r3wSCgUY92gkJBIR/t5wBjodnT5rLoZhMCg+AiOGRyMpORO//raHkkxCSLtGCZEBiIQiyGTWmDtvAY4fP2nscDqk6CgvDOgfgD//PIvKSi3v2wmFAjw6NgIAcPTYLUOF12n4+bpi6uSBsLI2x7Xr94wdDiGENBslRAYwafJMlJTIUV5egbj+I+DlO9fYIXVIgYGOYFkOHKfHZXQABAIBRo8Kx/nzKaispFM9LSHQ3w2pqbnGDoMQQpqNLrtvYampqTh9+iyOHt0DjVqD8+cvok9vepgNIS+vFDY2ZpBK9S+8aGkphbe3PW7cyER4uHfLB9fJcBz0TkwJIaQtoW/qFrbky2VwcLBH3z69AAADBvSDWvWPkaPqmHQ6FiJR8wc5u3Z1w5Ur6ZQQtYDbdzLQPczP2GEQQkizUULUTDrNjXq3b9+2DfEDw2vt16cYXqqGX90iSQH/p67ck/8cmyjzu7zbAr56tG15MpkZ5HKu2UUM/XwdsWfPFRQWlsHOzqKFo6urrRVbbAqjR7x+fgG4cDENoaHdW+z4hiq22GGxeiytokehVIPRJ149PPh+EEBtkOOQjofmELWg71dsRFp6Dl6YP8XYoXQKlpYmUKs1UKv5J3z3MzERw9lZhtw8/hWkSf1iorshN7cQxcX8q0sTQkhbQgnRQ8rIzMMzz30GF7fheOmVJVj01hOIiupq7LA6tPz8Uty8mQMAkMnMUVzS/NL83bt74tixW9BompdUkSoCgQDduwfg/Pmbxg6FEEKahU6ZNZNKpUL38Om4m5IJJ0dbTJkyFIsWzoajo62xQ+vwTpy4ixuJOXBytERBgQY6bfPrCXXt4oo7STlYtz4BfXoHwNPTDiKRsAWj7TxiokPw+8odYDkWgwdFQyCg31uEkPaDEqJmmj3nQxQWyXHz+t/w83M3djidBsdxSEsrwry5faFSaWBuZgd7++bPh2AYBqNHh+PixXs4cuQmCgpK4eIqw6iRPWBjQ6Xw9SGTWeLpuePwy2/bERToBS8vF2OHRAghvFFC1EybNh/Gb7+8R8lQKysoKINILIS9fdUkaGELTA4VCgWIjPRFZKQvKis1uHgxFX+uOYlHx/aEuzuN+OnD1FQKM1MTsCxdgk8IaV9oTLuZbGwscebMdWOH0emk3CuCj7edwfo3MRGjVy9/9O8fjC1bz+PwkUSDHauj8vN1x7nz9V+FSQghbRUlRM00c8Yo/PnXHmOH0encu1cIbwMmRNVCQzzwxOw4JCZmYfv2izh9+g6uXc8Ay9L6Z03p1SsEt2+nQaejtc0IIe0HJUTN9J93n0JpqRL/7Dtt7FA6DZ2ORXpaMby8Wuc0lrm5CWbOiIW9vQVKy1S4eDEVP/18GBUVVNekMfn5JbCzl0EopMnphJD2g+YQNZPEJAXdurrh629+wYABjc9jkZr05t1vBctvGQpGj4EKV89C3m1dRG23Jk92thwymSnMzCQGPc79BRStLIHYvo41f+/bdwk7d97ClMmxBo2hLRRbbK4SeSns7Qx/nOZimLYbW6tpb0Uc9SASh9T6WyjOMVIkjeMszcAJWu7CDY4FoGqx7jolGiF6CFFRvki8mWXsMDqNe/eKWuV0WWPi40ORlVWE/Py2mzgaW2lpOSwszIwdBiGE6IUSoocgMRHRnJJW1FrzhxojFArRq1cQNm0+jdLSCqPG0laVliopISKEtDuUED2EW7ey4eZqY+wwOgW1WoucHAU8PGTGDgW9YgLh4WGPc+fvGDuUNik7uxDOzlSugBDSvlBC9BDS04rg5+fYdEPy0C5cSIermwwSifGnvTEMg+Bgd6TcyzN2KG0Oy7LIzs6Hmyu/RYoJIaStoIToIeTnKxAS6mHsMDq8a9eycO58GkaO6GbsUGrk5ZXAyZEm5z4oL68YllbmMDWVGjsUQgjRCyVED0HHstA0c6V1wk9aWhEOHLiFqVN6QiYzNXY4NQoKFLC2pqU9HpSdUwBXFxodIoS0P5QQPYRB8d3w+x/HjB1Gh1VYpMSWLZfxyCNhNUt1tBVRkQFISLiNS5dSwHG0TEW13NwiODnR/CFCSPtj/AkZ7ZRE3A2ffPwGQsKmIjfHHh4eTg221afuiYWwklc7juHdJaxM2l9xivJyNf7++wL69fOHj0/LXFkmbMEaPE5OMkx/vD927DqHM2dvw9bWElqtDn36BMPTo/4RkvZWW4hj+ZcWqI4hN7cIAf6d9DSyPvV69KkD1FHp83jp+L8Wdbr0Wn+zunz+xyGdGo0QPYSgQC84Odnif4tXGjuUDkWr1WHTpksI8HdEeHjb/XJ1cpJhzuxBGBQfhi7B7ggMdMWmTaeh1XbOJSs4jkNeHo0QEULaJxohekj2djLk5xcbO4wOg+M47N59A1KpGPHxgcYOp0kMw8DPz6Xm78tX7iE1Na/Wts6itLQcQqGAahARQtolGiF6SAKhAJpOOiJgCCdPpqGgoAyPPBIKhtHjvGAbEeDvijt32uZSAYaWk1sIR0caHSKEtE+UED0kpbICtjIrY4fRIdy4kYfLl7MxcWJ4m6g31BwB/i5IutM5l3PJyy2CEyVEhJB2ihKih8CyLIqKFHB6iKq8byz8GH+t3dJyQbVTGRly7N9/BxMmhMDSsv3WsHF0tEZlpRZyudLYobS63LwiODkbd2kVQghpLkqImmnfgTNwdhsOtVqDGdNHNquPg4dOYPGSFVj0zuctHF37UlCgxJYtNzByZBCcnNrW5fX6Uqu14DjOYKf7OI5DaWl5m7zUPye3kEaICCHtVvs8L2FEarUaoaGhSEpKwvBhvbB+7aeQSps3ovH1Nz8BALy92+6VVIbEcRyuXs3BoUN3ER/vB3//9j+6kJiYAU9PB1hZtfzE4vJyFdatP4y8/BKYmpogNMQH3cP8YGff9GX3Go0WJSWlsLOzhkDQ8r+DNBotFHIl7HnEQggBdBYSMEKTlutPpwHaX4WVNoUSIj2xLIvbt29j04b/Yczofg/Vl7l51ZdmWVnnO71SWanF3r1JyMsrw7RpPeDg0DGqPssV5bCza/l6Q6Wl5fhzzQEEBrpj9qxhyM0txpWrd/HbH3vg7++P0aNiIRLVfjtzHIdz5xNx61YqMjPzIDU1AcdxGDwoGt26+rboKFZeXhFs7awgFApbrE9CCGlNlBDpSSqVIjY2FtNnvo+TJ/YhLCykydvoNDfq3W5lWfVLvbCwoKaYWGI5v8u1WTH/UyauZgrebS0F/JciEelTWO0+2dml2LbtBjw9ZZg1KwJice0v0ZYsoNgcD1NA0c/XF+vWH4aAMUX3ML+HGjHhOA7FxWWQK5TYsfM0wnv4I7Zv1evN2dkWzs62GDigB7Zuv4jvvt+A2L49EBEeBJ1Oh9zcIpw6fRUlJWXo168HJowfCFNTKVJTs7Hnn1M4f/4mhg/r3WjNIH0KPubm3Wrx02Usy/91KxDQhQ0G0waKSOpT3PbBAVCBgIZNCD+UEDXDkSNHMHjwQPSMjMOAAf3w3LNPYezYUbxPRcyd9wkCAjxgLauaL1NczP+Dvz3jOA5nzmQgISEdQ4b4o0sXR2OH1OI8PRwxe+ZQXLqcjFV/7oe7uwMmjIuteW2wLIvLl5NxLzUXvr6uCA5yh4mJpE4/crkS+w6cR2pqLsxMTRA/sAe6dfWu004sFmHihEHIzi7Ath3HsHPncQgEDBwcbeDn445Hx/avNXLk5eWCuU8+ivMXbmL1n7vQv39PRPbs8tD3Oy+viC65J4S0a5QQNYNAIMCB/dvx/Ypf8OOPv2LylFmQSk1w7uxRBAUFNHrbt97+Dr+v3IFuXX0x7bFhMDc3RWlpOX76ZQvmPvlo69wBIygrU2PHjpvQaHSYNSsC1tbt90qypjg4yDBkcE/ED+yBtesP4/sftsPKyhyqikoUFZfCxdkWXbt4IfFmKvbsPQNvb2d4ezmhsFCBgkIF5HIlVCo1wnv449EFfSESNX4aimEYuLo64Jl542smWzd2OkwgECAqsiv8/dzx+x87cO9eFvz9PdA9LKDZp9FycgoRGODZrNsSQkhbQAnRQ3j2mSfx7DNPgmVZ9Isbhh7hfXH2zGGEhHStt315uQrffLsWDMMgJqYbEs5eh5OTLYYOicErr36NWTOad7VaW3c3WY4De9PQvbsLYmO9IRC0v4KLzSEUCvHYlIHIySlGhaoSplIT2NhYwNS0aiJlZGQQKioqkXQnE2lpebC3t0JQkAesrcxhZ2fVrOREn9vY2FjhyTljkXIvC+fPJ+LkqSvo0T0QEeFBkEr5T/akJTsIIR0BJUQtQCAQ4NjRvRg0eAwio/rj9KkD6NEjrE67yVPfgoWFKXQ6Fv5+Hvhr7T949+0n8eorj+PnX7Zix64TQJAR7oCBaLUsjh3Nwq2bJRg/thc8PWXGDqnVCQQCuLo2fPWcqakJwkJ9ERbq24pR/cvKyhzdwwIQFuqPtLQcnL9wEz/8tBl9+3RHSDdfXomRQqGESCSEublpK0RMCCGGQXWIWohAIMChgzsRF9cXMb3icfbs+Zp9arUavfo8gYOHzmHdmk9hKjXBoneWQyqV4MUXpkAgEEAms0TC6WtGvActJz+vAkcOZ+LnH29AXqLGzNnBnTIZak8YhoGXlwvGjxuIMaP6ITk5A3+s2omysvImb5ubVwQnp/ZfMoEQ0rnRCFEL+2fvFox5ZDL69B2CBQuexv/++xHiBjyNO8kZuHrpLyiVKvz04yIo5EpMmTIUAJCUlI7CwhJMnjQYa7HXyPegecpKNUhMLMKN68WoqNCiazcbTJzkB3sHGjVob3x93eDj44rDh89j+fcb4OfnjuBgb3TrWv8oVm4OFWQkhLR/lBAZwPZt6/H119/h7Xc+wrJlP0Kn0+H77xZi8NDnkZmVB6FQCJ2OxcYth7Fm1Yd49vnP4e/viZ49u2BtYvtJiNRqHZJul+DGjWLkZCsRECDDwHg3eHhatMuFWcm/GIbBwIGRiIkJQeLNezhw8CxEIiGCAr3qtM3NK0JgPdsJIaQ9oYTIQF566Xm88MKz+OWXlTh75gCem/9fREd1xakTv8LZ2Q5Tpy3Cxk2HsHvPKRw9dhHbtiwxdsi8sCyHzHQtbt9QozjzGlxdLRAaaodHx/lCLKYzsB2NmZkUPSOCce9eFoqK6i8PkZtXhLh+4a0cGSGEtCxKiJqJ4VEITigA5j39Ar5Z9gG6hdhg885oHDr4LZZ9cwWnTubgw0+isWX7L7CzM0Fk32soKLuGPSn8asJoZTresfqb5fFu62Exrs42juOQk61E4s0C3EwshIWFGKHdHBAy2hvm5nVr6NTHUMUWjV3EsS3gWDnvtvoUW6yWkpKFtPRcjB4VW2df9ZIddnb8+jVUAUV9CvcZjKEKGPItgNoGCijyjtWAGPbBDRVGiYO0P5QQtYJ7dxX4z4dRKCxUYdrkf9Clqw1+WzUIw4Z7oUfIWgwZ1vbqt3Ach/z8ctxMLETizQIIGAZduthj8pQusLevWnJEJOCXDJH2S6PRYseu4xg5ok+9BSRpyQ5CSEdBCZGBsSyL8nIt+g90w08rrsPaWoKDR6tGYYqLVMjNKcf8F0KNHOW/CgsrcPNmIW4mFkCjYREcbIexYwPh5GRO84I6oaNHL8DF2a7euUMAkJNbBGe6wowQ0gFQQmRg6elVa5Tt2pGKtWtuo1cf55p93393DdbWEvj6GX+4vzRfhcRDudAKFQgKtsPwEX5wdaXJ0Z1ZdnYBLl2+jafnjW+wDS3ZQQjpKCghMjAPDw+Ehtnh6yWXIBQJ8MHH0TX7tm9NQWycqxGjq1KYpsSN/TkI6OuAZ+N6dppK0qRhLMti+45jiI+PgoWFWYPtcnOLGhw9IoSQ9oQSIgMTCAT45+DYOtszM8qQmlqKZT/0N0JU/1IWq3Fjfw5CR7hC5mJKyRABAJxOuAapVIIe3QMbbENLdhDSfFozESAWt1x/Gvo6f1h0nbQRsCyLKRP2wM/PGj17Gm/Fd02lDld2ZcKvtz1kLlRAkVQpKpLj5MkrGD0qttFTpnJ5GcRiES3ZQQjpECilbGVaLYvJ43cjI0OJEwkTjBYHx3G4sT8Hth7mcO1i/DlMpG3gOA47d51A796hsLVt/HWRS/OHCCEdCCVEzcRpM3m3vaY4AQC4fr4cb83KAMMw+HK9O4qtLqP4gVp3IpE7rz7tXPnXnhHWKcwB3D1bCFajQ3CsMwT37RfpUUdEnxpAhqoXJGCMW/ekOXV92rLLV5JQUVGJ3r2avvIxL7eoZskOQ9UX4ovj+L8f9KFPfSN9YtCrbhLf+kJtoAZQm/Dg4yBoA/WZSLtACVErOHdMibXLC3HlbAWiB5jj/RWuEImMd7YyL7kMWYkKRE30gEBIc4ZIlbKychw4cAbTHhsOgaDp12dObiGCg70NHxghhLQCmkNkQDt27oetQ1e8NSsDpQod3lzijI9/djdKMqTIq7qsXp5TgeSEQgQPcISJOeXD5F97/zmN7mGBcHGx59U+N6+YFnUlhHQY9I1oAHl5BRg77gmcOXsJ/eN6wb9XEqY8bdzidRnX5KiQa3BpZzZsXE2Rn6KEvZe5UWMibcet26nIyi7AI2PieLVXqzUoVfBfsoMQQto6GiFqYev/3g43z57IyyvAxXN7sf+fddBpgTIF/7XHWhrHcShKL0dQfwc4+Jgj724ZzG1a7nJP0r5VVqqxe89JjB4ZC7GY32+kvLxi2NlZ05IdhJAOgxKiFvTrr3/hscefw/znn0By0imEhXWFQCCAV4AEmSlqo8VVWlAJgYiBuY0EXQY6YsBcP3h2tzFaPKRtOXDwLPx83eHjw79IaC7VHyKEdDCUELWQL7/+AXOfeQPvvvMSvlryfq19jq5ipN01XkJUnFkBWw8zMAwDhmEgktDTTqqkpeXg1q1UDB4UpdftaMkOQkhHQ3OIHlJWVg5Gjp6Ba9dv4X+fv4NXX3m6ThsndzGunq0wQnRVNBU6iCV0aoPUptVqsX3nMQwb1humplK9bktLdhBCOhoaKngI+/YdgZdvDMorVLh142i9yRAAaDUceFzFbDB5d5Ww82x4PSrSOR0/fhn2djJ00fPSeVqygxDSEdEIUTOlF76IyY9tw8BBjvhtdSSAb5BZXH/bVI0DCnRAstqxydXjJSItr+M7W/ArNqZT6yDVKOEhK4e5uOnTdlq+ReAAmEqaLt5H2pbqAooqVSWOHb+BmJgwaDRSSKUmNW0KC0sgEDCwsan/CrKSEgUkEgtYWjrpfXyWVTTdqBkMVRjSUAUfDUKP9y4VcSSkLkqImmnRGxdRWcni+597NdnWyr7qiq6irErYuel3auJh5SfcQ7CfKcyt6akm/5JKTfDE7HE4d/46vl26CiEhgfD0cEHy3XQkJd0Dx3Ho3bsH+vQOr1OkMTe3EI6Oxi0jQQghLY2+JZth3bp1WLPqLhZ/EwWptOmHUF3BQiIVoDindRMiXaUWytRidHtE1mrHJO2Hp6crPD1dUVqqxLnz13D9xh24ujriuWcfg1qtwcbN+6DTsegfV3vCdU5uAZyd+RVvJISQ9oISIj1t3boV06ZNw1PPBGLyVO962+h0HFLulsLeQQqJWICj67Lh4mcGr9DWG6bmOA5Fl7Ng6mIFsQmt5UMaZmlpjoEDYmptMzMzxcjhcVj/927E9Yusdao3N7cQXYJ9WztMQjoUjbkQrEnLXeyiq6QLZx4WJUR62LdvH8aPH4+nn34aiz4oaLDdxr9TodWwUMg1qFTr4B5sji69W7fuT2VhOcruFcJjdDcAV1v12KRjcHa2h9RUips376JLF7+a7Xl5hRjQX7/L9AkhpK2jhIino0ePYsSIEZgxYwaWL1+OjPzJ9baTy9UozFfhmflBAAC1msV+ZX5rhgoAUGaUwMLLFiIzSasfm3QMDMNg6OA++HvDHhQUlqBvn3BotVooFGWwt6fCnoSQjoUSIh7Onj2LQYMGYfz48fj9998bbWthIQbLAaoKHUzNRDAxEYIpb/0V5ctSCuHYx6fVj0vah/LyChQWlkAqNYFUagKO41BWVo7iYgVkMku4uVVdQebj4465T03Clm0HkZ2dj+ioUNjZ29SZaE0IIe0dJURNuHLlCvr27Ythw4Zh/fr1TbYXChk4OUlx7GgeHJ2k8PaxaIUoa6vILQWrZSF1bP1jk7aNZVns238SFy8mws5ehkqVGpWVajAMAzNzU9jIrJCZmYu+fSMQEx0GALCxscaMx8fg7w17sWXbAXh7uRn5XhBCSMujhKgRarUaffr0QWxsLHbs2MH7dsNHueHM6QIc3JeNMY96AA4GDLIeRZezYBvm2mTNI9L57N5zDPkFRXjxhRkNVqcuKVHgx5/Ww8XZHp6eruA4DiKRCOMeHYz33l+K/nGRrRw1IYQYHiVE99FWnq7191NPfQSBgMOenR/X2SevvNlwR2JAqVHAw5+Dg2cmEpV2SD4vR/adclg7SuDTwwqWtvXP7VFr+T0lZkJN/bdXqMAWKeA0xBuC/2/jImqgYmQ9VLoM3m31uWZOwBjmCjtGUH/xwNbCsYYp3GeI+3Xm7HXcSU7C3CfHwsREDZatv1CnlRXwyCO9sP7vrTAzN0VxkQKurg6IiekGezszeHlaN7vAoj6Plz6PgT7xGKqIoz70KfjIMAZ4jVMRR/KApUuXYtmyZQgODsbWrVtr7Ttx4gS++eYb3Lx5E+bm5hgyZAhee+01WFnVfi8plUp89dVX2LNnDxQKBfz9/fH8889j0KBBdY7Ht8/WRAlRI3btPoFnn56g93yJ5NsqpN5VY/J0WzAMg6QzJchNqUC3OFsUZqpwalMOPLtZwr+ndYsvtKrMLoWFhzUEIprj0VlxHIesrHyUV1SivFyFrKx8ZGTkoUJViRmPj6hVlbohgQGeePaZCZDLlbCyMsfVa8k4dy4RcXHhkMnoC5KQjiQpKQk//fQT7O3r1hdLSEjAvHnzMGjQILz00kvIy8vD4sWLcfv2baxZs6bW9+P8+fNx48YNvPbaa3B3d8fmzZsxf/58rFixAv37929Wn62JEqJGlJSUYsBA/U8PXL1UgdBwU7AccPxQKTJvidB7gjOk5iLYukrh0dUCiSeKcWhVBrxCLOHTwwpiEyE4jgOr0UIgbv7TIpKKoSosB8dxdMqsk+A4DpmZ+UhNy0ZpaTlS07Kh0ehgI7OEVCqBi4s9unX1hYuLPcR6vLZMTaU1p9ViorshJrqboe4CIcRIWJbF22+/jUmTJuH27dtQKGqPtn7xxRcICAjA119/XZOoODg4YM6cOdizZw9GjhwJADhy5AhOnjyJZcuWYciQIQCAXr16IT09HZ9//nmthIhvn62NEqIGFBXJodOx6Nc3TO/b9owxx+F9CiQcVyKomxS9x1clQ9Wk5iKED3VAWbEad87LcXh1JiSmQlSUalGQL4B5iBfMgj3ACPRPaCzcrZB+MBmshoWQVrjvUJTKCmRk5qGsrALKsnIoSpWQy5UoLJKDYRgEBXpCJrNEYIAnfHxoDhkhpGm///47cnJy8Ouvv+LZZ5+ttS83NxdXr17FwoULa43a9O3bF05OTti7d29N8rJv3z5YWlrWOj3GMAzGjRuHd999F3fu3IG/v79efbY2SogacOjweUgkYkil+i+14eElwfQn7cCyVVedHVXW/zBb2EjQY7ADSovUYHUcTC1FSEqMguLUTVRmFMJmUHcwQv2GDsuyFDB1MKdkqANRKitw8uQVXLp8G66uDrCyMoeFuSmcnOwQFOQNmbUF7O1llAARQvSSnp6Ob7/9FosXL4aFRd2rkm/fvg0ACAgIqLMvMDAQSUlJNX8nJSXB39+/zumuoKCgmr78/f316rMpcrkchYWFYBgGtra2sLZ+uPl2lBA14OTJy7Cza/6DyzAMhDxzkvsnWAvNpZAN6o6iHWegK6uAyNqcVx+cjkXB1VwUXc+BU4xnc0ImbQzHcbh6LRn79p1Gly4+eHreeFhZ8Xs9EEI6p5ycnDrbrKys6kxW5jgO77zzDmJjYzF48OB6+yopKQGAehMNa2tr3Lhxo1Zbb2/vetvd35c+fT6IZVkcOHAAe/bswZkzZ1BQUHvFCHt7e0RHR2PEiBGIj4/Xey4SJUQNuHotGZ4eTkY5NsMwEJhLoSuv5JUQVeSXIfPIPUgsJfAZ0wUSq9ZbQJYYRklJKfbsPYXiklJMe2w4XFxoMVVCSNMef/zxOtvmz5+PBQsW1Nq2fv16XLt2Dbt27Wqyz4ZGnx/c3tgoNd+29W3X6XT466+/8MMPPyA/Px+mpqYIDQ1F//79IZPJwHEc5HI5UlNTcfDgQezcuRMODg545plnMHXqVAh5jk5QQtQAmY0VEhPvGe34YltLqLMKYeJi22i7SrkKaf/cgXNvT1j52NBpk3ZOp9PhdEIiTiekICa6GyZOiIdIRG9TQgg/f/75J5ydnWtte3B0qKioCF988QWefvppmJqa1kyk1mq1YFkWCoUCJiYmkMlkAP4d1bmfXC6vNcojk8kabAf8OyKkT5/VRo0ahZycHIwcORJjx45FVFRUg6M/LMsiISEB27ZtwxdffIHVq1dj9+7d9bZ9EH3SNmDFd2/CxX0kvvl2LV58YWqrH9800A1Fu8/BLNgDQvOGR3xKbhdAFmgPa9/GEyfStqlUapxOSMTlK8lwcJDhyTmPwMbG+PVyCCHti7OzM9zd3Rttk5ubi9LSUixZsgRLliypsz8qKgpz587F9OnTAVTND4qNja3V5vbt2wgPD6/529/fH//88w9Ylq2VrFTPGQoMDATw79whPn1Wi4uLw7x58+otC/AggUCA3r17o3fv3njllVfw008/NXmbapQQ3Uco7lrz/w5OwIcfLMIbCz9F3IBxiOxZ+0kKtPuCd78bS77j3ZbVVY3wMCZSmAZ5ouRYImTxPepMrjb5/6KLEqEOEPz7d31KdGa8j3+ltOHztw/qI77Ku625SR/ebTubiopKrP5zP+ztrTFl0gA4O9sC4AxS9FGfYoeGKjpJ2gBDFVukgo/tgqenJ1auXFln+6effory8nJ8/PHHcHV1hbOzM0JCQrB9+3bMmjWrJtE5deoUcnNzMXTo0JrbDhkyBBs2bMDBgwdrzUnasmULfHx84O/vDwB69Vlt0aJFzbqfDg4Oet2WEqJGLFr0Oo4eO4n4+NEoyE+BRNK6K8ebBntAU6BA2aVkWPasOyO/4Ho+Cq7nwa0vTaJur8rLVfhzzQF4eztj8KAIOuVJSCehNWPASlvu/c4K+fdlbm6OmJiYOturT63dv++1117Dk08+iVdeeQVTpkxBbm4uFi9ejO7du2P48OE17fr374+YmBi8/fbbKCkpgbu7O7Zs2YLz589j+fLltY7Dt8/WRglRE3bt3AgbWw/MnbcAf/z+Q6sem2EYWMYEo2TfeSgSbkLiKAMjEUHsKIO6tBK5F7IRMC4YJtY0ibo9yswswIZNRxEW6osB/btTMkQIaXN69+6NFStWYOnSpZg3bx7Mzc0xePBgvP7667UmKzMMg+XLl+PLL7/EV199VbN0x7JlyxAfH9+sPptSUVGBzMxMlJSUgOO4OvujoqL0uq+UEDVBIBDgu2VLMPuJZ/HhB4vg5eXVuseXiCAbHIGKO1lQ5xSDrVSj9HQikqwUcIpwoWSoHeI4DufO3cbR41cwckQMugTTCB8hxPhWrVpV7/a4uDjExcU1eXsLCwu89957eO+995psy7fP+pSXl+Ozzz7Dli1boNVq6+yvXqkhMTFRr34pIeJh2rTJeGruAqxatR7vvPN6qx9fYCKGebd/EzFOo0OgXSrE5q17Co80H8dxKC4uQ3ZOIc6duw2tVodZM4bC3t64i9MSQkh785///Afbt2/HkCFD0LNnz4cuyFiNEiIePvzwvxAIBHjjjReNHQoAgBELKRlqR1Lu5WDnrtPQanVwcbFDSDdvhIfXrehKCCGkaQcOHMDEiRPx8ccft2i/lBDxsG37LkRFRbT6pGrSMezcdRoD+vdASDdvY4dCCCHtnlgsRmhoaIv3Sz9ReXhi9uM4ceI0Ll26YuxQSDskEgpha0OXGBNCSEuIiYnB5cuXW7xfGiG6DyOovxDeCy++gY2bdmLwkLHIzc2FSCSCSBzCu99+Frd4tz1kFcirnVkjdYce9GdOb95tHaX864gImb95t+2jx7pwEhH/ScZCtPwcnJasv6PRaFFcUgYHh7YxV0if+8Zy/F8LAqblEz59YtWnvhLLKni3FTTwmdDu6VMvqC3EoE/Nogf7ZZX8b0vahYULF2L69On4448/MG3aNIjF4hbplxIinvbu3QsnJyeMGTOGdxlwQnJyi+Fgbw2xmN5qhBDSElxdXfHyyy/jzTffxBdffAEHB4c6czIZhsH+/fv16pc+pXmSSqXYs2cP+vbti19++QVzZhmveBRpP7KyCuDqamfsMAghpMPYtGkT3n77bYjFYvj4+NRZq625KCHSQ+/evfHaa6/hmWeewdBBp+Du7mLskEgbl5lVCF8fep0QQkhLWbFiBbp06YKff/4ZtrYtt44nTarW0//+9z+4uLhg/gtvGzsU0g7kZBfBxZkW3iWEkJaSm5uLCRMmtGgyBFBC1Cyvvvoq9v5zGCzLGjsU0oZxHIcSeRlsbCyMHQohhHQYPj4+kMtbfvFpSoiaYcGCBdDpWKz+c5OxQyFtWFFRKczMTCCRtMwVEIQQQoCnn34aa9asQU5OTov2S3OImkEgEMDJ0R6XLl/HzBkTjR0OaaNOnLyO0BAfY4dBCCEdSnJyMpycnDBixAgMGTIE7u7u9V5l9vzzz+vVLyVEzcRyHIRCGmAj9cvKKsSd5Ew8/+wjxg6FENIGacwAgSnTYv2xnejraNmyZTX/v23btnrbUEL0kLhGCrYdOHAImzfvxKefvofMzGzk5ORh0OCxYERuTfbrbmLPOwZrkwpe7TIr+Beiu5PH//hJAv5tg8z4D1e6K37n3dZHxn/NOKHQnXdbQ6iveCHLstj9zzHExflDLKkEy1UaIbLWpU8RR74MUexRX1TEsY1oC4UkSZtx4MABg/RLCREPv/22GnPnLYCFhTlW/PALGIZBz549MWLECGOHRtqgs+fuQMAIEN7D19ihEEJIh+Pm1vRARHN0okG25nv77Q8wdcoElBRnYM2aX/Dnnz8jISHB2GGRNqi4uAzHjydi9KhIMEzLDYcTQggxLEqIeCgtUyIsrGrtssmTxmPypPF1JnARAgBHjl5HdHQA7OyMf7qHEEI6gq+//hplZWV6306hUOCrr77i3Z6+1Xno2zcGK1f9ZewwSBtXXFyG5OQcREcFGDsUQgjpMLZt24b4+Hj897//xc2bN5tsf/XqVXz88ccYNGgQduzYwfs4NIeIh3fffRNxccPx5JPP45dfvjN2OKSNunzlHkJDPGFiQnWHCCGkpezZswe//vorfv31V/z++++wt7dHWFgYPD09YW1tDY7jIJfLce/ePVy5cgXFxcWwsrLC3LlzMXv2bN7HoYSIh759emH7tvV4dNxjOHbsJLZvX4/gLj2NHRZpY6RSMQoL6WoYQghpSRKJBM888wyeeOIJbNu2DXv27MHp06frXG1mYWGByMhIDB8+HCNHjoREItHrOJQQ8TRy5FDcS7mG0WMmoWu3KMyePRs///wzzSUiNSLCfXHs2A2UlVXAwsLU2OEQQkiHYmJigkmTJmHSpElgWRZZWVkoKioCwzCwtbWFi4vLQ30n07e5HlxdXXDh/HGsWvkj1q1bB1tbW2zevNnYYZE2QiIRIyjIDVevpRk7FEII6dAEAgHc3d0RFhaG0NBQuLm5PfQABY0Q3YfhWVjt8elPYdLkmZg+fTomTJgAHx8f/PLLLxgwYEC97X1sl/COwT/vS17tNlzif8qO0/G//JsR8V+wNkst4922UJvMu61d5Un+bfUozMi3eKCObf6igSEhdtiz9wqiopza/WX3QgH/4p/GLqLI6fGcMXrcL9L+cNwDrwUDFA0lHRONEDWTRCLB+vXrkZaWBk9PT8THxyMkJAQXLlwwdmjEiDw97aBSaVBSUm7sUAghhOiBEqKH5O7ujkOHDiExMRGmpqaIjIxEdHQ0kpKSjB0aMQKGYWBmJoFKpTF2KIQQQvRACVELCQoKwtmzZ3HmzBkolUoEBQVh0KBByMrKMnZopBXl5SugUKhgZ2dh7FAIIYTogRKiFhYZGYnr169j//79SElJgYeHB8ZPfAMlJfwXiSTti07HIiUlH2fOJOOvv05h8OBukEhoeh4hhLQnlBAZSHx8PO7evYv169fj7NkbcHYbgdlzPkB5ucrYoZEWdO9ePn7+5TAOH05EXp4CEydEoXuYp7HDIoQQoif6GWtgEyZMwNjRbvj19+14c+FSOLsNx/kzqxAQ4GHs0MhDUCorsW//NWRkFGHI4BAEBjq3+6vKCCGtRysFGLOW64/jWq6v9iI9PR2nT59GQUEBxowZA3d3d6jVahQUFMDe3l7vwow0QtRK5sweg9ysPejWzReRMTORmppt7JBIM2Vnl+DX347AwkKKp+cNRFCQCyVDhBDSir744gsMHz4c7777Lr799lukp6cDANRqNUaNGoU1a9bo3SeNELUCobhr1X8BnD51EhE9+yEy5gnkZN+pk8H6SfN59Sko0WO9LD1+Oegstbzb+knzeLet4PjHW1hxlndbG9MR/GNQX+XdtiFXrmTj0KG7GD48EEFBlhAIlNDxL93Emz41gNpCv3xrPOnD2LWN9MWy/OcJCnjWPAPqqavTAhjG+LWYDHG/AECnTX/g70KDHIcYz9q1a/HLL79gxowZGDhwIObMmVOzz8LCAvHx8Th06JBe65gBNELU6gQCAc6dPQKO4zBx0gxjh0N44jgOhw4l4/TpdDz+eA8EBTkYOyRCCOmU1qxZgyFDhuDtt99Gly5d6uwPCgpCSkqK3v1SQmQEIpEImzetwc6de7Fp0zZjh0N4OHcuE8nJRZgxIxz29ubGDocQQjqte/fuoU+fPg3ut7GxQXFxsd79UkJkJAMG9MOzzzyFKVNn48qVa8YOhzSC4zicOZOOsWO7wtRUj1OVhBBCWpyJiQkqKioa3J+VlQUrK/6npatRQmREy5YtRlxcX/TpOxh5efzmDpHWV1hYDoZhYG/fgpeEEEIIaZawsDDs27ev3n2VlZXYunUrIiIi9O6XEiIj2/fPVri6uCCiZyxY1gCzc8lDu3evGN7eNnQlGSGEtAFPPvkkLl26hNdffx23bt0CABQUFODYsWOYMWMGcnNza0205ouuMjMygUCACxeOwcHRF6+9/jYCnzF2RORBarUOIhH9diCEkLagT58+eP/99/HJJ59gx44dAIA33ngDACAWi/HRRx8hPDxc734pIWoDLCws8PVXn+P5+a/igzFRsHMzNXZI5D5duzpi1aqLCA11hotL+7oUnBBCOqIpU6YgPj4ee/bswd27d8FxHLy9vTFixAg4OTk1q09KiNqIp5+eg6XLfsB3867ivZ3Rxg6H3EcmM0VkpDsuXsyCi0uQscMhhBACwMHBATNmtFz5GkqIWgHDswjbrl174Ovrjayd1zF8QuMjEZZ+JbyPr7wh492WKxfybnuv0p53WwcR/6J1gab8+9WxLV/cTcvWLTLo42eC8xtSoGVdm92vRMR/jTND3C99+9UnXkPQp9hjWyjiqE+xxY7KUMUW9Sl6+eDrhoWypcMhHRQlRG2Il5cXunQ3wY71iiYTImJYOh2LxMRCFBdV4PbtIpSUVCI0jIoxEkJIa5s5c6bet2EYBn/88Ydet6GEqI2JjjPF37/x/zVEDONucglOnEiHr68NRo3yh62dKSQS/qNnhBBCWkZGRkadbRUVFTXFF62srMBxHEpLq0YHbWxsYGamf5kUSojamHEzrPD7tyU4vFuJASOoIrKxWFhIIBELMWSIj7FDIYSQTu3gwYO1/k5PT8fMmTMxc+ZMzJ07Fw4OVaP3+fn5+PHHH3HgwAH8/vvveh+HriVuY2ztRegzyBRfv19g7FA6taysUpiZUVVqQohh6MwBrUXL/dN1ot/Pn376KcLDw7Fo0aKaZAiommT99ttvo3v37vjss8/07pcSojborf85oDBfh31bW34FccLPiRMZ8PSiSbKEENLWnDlzBlFRUQ3uj46ORkJCgt79UkLUBslsRYgbaoalHxUZO5ROa/LkLrh8KQ8nTtQ9d00IIcR4GIZBcnJyg/vv3LnTrJUFKCFqoxb+1x4lRTrs2UijRMbg7GKB6TNCcDOxAOfPZRs7HEIIIf+vb9++WLt2LbZs2QKO42q2cxyHzZs3Y926dejbt6/e/dKk6jbK0lqEASPNseyTQroE30gsLCSYOCkYa/68jsSbhejXzwNeXtbGDosQQjq1t956C1evXsVbb72FxYsXw9vbGwzDICUlBYWFhXBxccFbb72ld7+UELUx0Y7La/5//c9KOLlNwrWdYzDniRG12omER3n3Kc3nP3Sok/Jvuy89mHdbG59y3m0DJdd5t9WnQDvvQoPatJr/tbOxxLPPxCEpqQDbttzGSy/1bfYir/oURTRUYUahgH9CZ6gY+NInVn1wetwvRo8Y9Cke2J6KOLaFYov6eLBIpwBqgxyHGI+zszO2bt2Kn376CQcOHMCVK1cAAB4eHhg/fjyeeuopWFnp/x6jhKgNs7Iyx+yZw/DiK8vx6Ni+sLVtPx+iHUn1wq4mJvR2IYSQtsDS0hKvvPIKXnnllRbrk+YQtXHfLV0ARwcZono/D4WCStAbg07HYvv2RIwYEdjs0SFCCCFtG/3kbeMEAgFOHV+KqN7PwzdwBo4f/hrBwcZdY6qzEQgYBAU54OTJNLi4WEEqpbcNIYQYy5YtW3i1e/TRR/Xqlz7Z2wFHRxmSb/2BQUPfQET0s9i+9WOABipaDcMweOSRLvjnnyRs3nwdU6aEQSCgJ4AQQoxh4cKFYBim1hVmAOqM4FNC1EGJRCIcOfglZsz6HGMeeRt+S2bBPNDF2GF1GgzDYMiQAKxefRHXr+ciNNTZ2CERQkintHLlyjrbdDod0tLSsGbNGpiamuKll17Su19KiNqZVX8shFyhxN7XVqLLd09B6mFn7JA6DYGAQZ8+Xjh1Ko0SIkIIMZLo6Oh6t/fu3Rvjxo3DxIkTcePGDfTq1UuvfmlSdTu0bfNHMPVzws2XfgPLssYOp1NxcDBHYWE5yss1xg6FEELIAyQSCR555BGsWbNG79vSCFEbIzYdxqvdX9usMSEkCz2P/4rxcx0abft80hO8j291l3+OLE/nXwbgjpMj77blFom82+pTK4dvHaLG6t/Y2lgjLMwXJ07kYfiwrgarLaTS8V8yRMTwr5VjqDpEhqgZpM/xBULDFC/tqDWLDFVbyFD0eR4IkUgkyM3N1ft2NELUTolEAvQbZY0NPxUaO5ROJyLCA0m38+pM6COEEGJceXl5WLt2Ldzd3fW+LY0QtWPz3nXGtMhbSNivQMxgKtrYWmTWppDJTLH+7wsYNswDlpYmxg6JEEI6jZkzZ9a7XS6X4+7du9BoNPj888/17pcSonbMSiZCryGW+N/LGVh1MhBmlvR0tgahUIBp06Jw/Hgyfv/9PEaNCoavr62xwyKEtCNaKQDTFhxl1naeL/SMjLpTChiGgbW1NYYOHYrHH38cERERevfbWR6/DmvRd+6Y1TcJr025h+W7/I0dTqchFArQv38A3D3E2LYtEZMmhcLFhRbhJYQQQzt48KBB+qU5RO2cQCDAlxt9kJFcie/fzzZ2OJ2Ot7cNHB0toFTSApKEENIazp49i6Kiogb3FxUV4ezZs3r3SwlRB+DgKsFrX7pj5+oi3LlWYexwOh0PDytcvkzJKCGEtIaZM2fixIkTDe4/ffp0g/OMGkMJUQcRN8oaphYCXDvTAgvAchys2XI46BSw15XCkq0A6IqqBsXEeKKkRIUdO26iooLqExFCiCE1dYWvTqeDQKB/ekMJUQciMRGgME/b7NuLtTq4awoQVZEM/4I0uCSnwzUlDUElaYgovwsXbTEEHBWCfJBIJMCMGeEwMRHit9/OQ6GoNHZIhBDSoT24btn9Ll68CBsbG737pEnV7dRQt5/rbOsZ9gJuHM3D0KW190nc/mmyP/MyLcITCqC6rUL25XKoC3W19ktdxHCMUMHZsRi3dR7QciKYZgt5x5us4L/ESLYt/wJ3QVr+BQyVmuu82pmLu/HuU8uWAgAEImDgIGeYWeiw/u+zmPZ4CCQS/o9PazFUsUW+/erTpyGKPRpSWyji2J4Yqtgiy5XW/hstMGpOjO6PP/6otYbZp59+iq+++qpOO4VCgbKyMkyYMEHvY1BC1IF88tGz6B07B3l5RXB05H8ZuIlKh4jTBSg6pEDp7fpHN1TZGmTvlMMuWoOgbulI1HoBaHtf+MYWHe2KokIV9uxJxpgxAY3+iiGEEMKPlZUVXF1dAQCZmZmQyWSws6v9Q5thGAQEBKBHjx6YNWuW3seghKgD6dmzCxwcbPDOeyvw44pFvG/X5XIxSi8oG0yG7ld4phzONiK4uBRCDv7LcXQWDMNg8BBv/Ln6Gs6cyUJMjJuxQyKEkHZv3LhxGDduHAAgPj4er776KgYNGtSix6A5RO3M33//jdLS0gb3PzF7DDZsOMC7P0mlDjYlGpRc5n91WtFZJRyEcjA00bpeYrEQEyYE48L5HNy8WWDscAghpEM5ePBgiydDACVE7cr27duhVCphadlwAcB3Fj2B8goV/li1k1efHqlKlKVUglXzT27URTpo5VrYq8t436azsbQywSNjA3H4UJqxQyGEEMJDuz5ldvLkSdy7dw/Tpk2rs2/BggVYunSpEaIyjOTkZKSmpmL+/PmNtpNKpRg5oi/e/+BHzJoxqsl+bXNVqMjS/1JxVbYa9m5K5JtQdeaG2NhIoVbrmm5ICCGkQfHx8RAIBNi9ezfEYjGv0SGGYbB//369jtOuE6LOxM/Pr8lkqNqypa/D23csjhy5gP79G1/PRajmAFb/U1+sFhCzzb/EvzMoKVZBIKBJ1YQQ8jDc3KrmYlZfpFI9ubqldYqEqL7Rovu3lZSU4PvvvwcAVFRUQKlUYtq0aejZs2dN+7t37+K7776DiYkJWJaFubk53n333Zr9Z8+exYYNGyCRSABUFY56/fXXYW1tjbNnz2Lbtm0wNzdHaWkpRCIRXnnlFVhbW9eK55lnnsG6devAcRzi4+MRHh7eZFx/bzgIKytzXLmajHKlCqpKNWKiu6FfbA/MmvM+7iVva/Sx4USAyEL/q8XEVgJUMHTGtSFlZWps25aEIUN8jB0KIYS0a6tWrWr075bSKRKippSXl2POnDlwcnICAGg0Gjz99NP46quvapKWr7/+Gv/9739hamoKAGDZfwsUXrt2DevXr8dnn30GkajqIa2s/PeKLRMTE3zwwQc1lTOTkpLw0UcfYfHixbViSEhIwIcfflizLSsrq8G4zKX/xr9p8xEs/t98WFqaAQDe/c9P+P67hejR83G8/+GPQIR3g/e91EYC+2Apis6X8368BBIG5p4myBKZ8r5NZ6LVstiy5TZCQx0QFMy//hIhhJCmZWVlwdbWFlKptN79KpUKRUVFeo8ktfuEaNu2bbh582ad7SUlJbz7ePBBE4vFGDNmDM6dO1dzrlKn09V68O8vC7527Vq8/PLLNckQUJUEVQsLC6vVf0BAQK2ECQBKS0sxefJkveMSiFIxeIgPbOzja9rF9itEZo4En3zyKd566y08tXckLOzrf+HobIQoz7SGmYcE5en8Fii1CpKC4ziUFVvCvJjf6ba0NAde7QDgtL0/77axMv7F3e6V8VshOdjanXefWq728TmOw569aTA10yG6j2Wd/XxVaDJ5tzUV69GxgQqN8y2iqE9hSL20s8FKgR7PA98ijq1V6LAxAob/nEJD9dte6ExZwLwF35Batv1/ofM0aNAg/O9//8OYMWPq3X/w4EG8+uqrSExM1Kvfdv/4PfLIIw1OqtbHrVu3sGPHDuh0OohEIty7dw9xcXE1+2fPno0333wT0dHRiIuLg6PjvzV48vLymsxEt27dips3b0IoFIJhGNy6davWfjs7O1hYWOgdF1A3cZLJZEhPT8frr7+OFStWYMuLxzH9z8H1xiW000ForYNTfwukbS6BTtn4G9TETgTbSDModObQCagw44MunM9HXm4FHnucijISQoghNLWWGcuyzfr8bfcJUXNpNP9eWZWSkoJVq1bhnXfeqRkF2r17NxSKf0vmR0VFISoqCjdu3MCaNWtQVlaGt99+m9eDvmLFCvj6+uLNN9+s2Xbt2rVabe4fXdInLqDumi4Mw9Sc0vvtt9/Qf0B/aFVaiKT1P90mQ5TQbbKCx6My5OxXQJVb/2Rpc28JnPpbghUwyFQ7AJIm7ngnU16uxZFDmRAIGaxYfg0sy4FhGAgEgIBhIDUVwcnJFI5OZnB2NoOLqznEYuMPbVRWapGcXILAQFuIRMaPhxBCmtLYd29ycnKj5Wka0ikSIqGw7khGenp6zf/v378fU6ZMqXVK7MyZMwgODq5zu65du6Jr16744YcfcPXqVYSFhcHBwQHZ2dlwcXGp9/jXr1/HM888U/O3RqPB5cuXm4xbn7gaEhcXB5FEiMsbU9Dz8YB62whdtJAOLUPlfgu4DLWCtpyFIlEFjUIHMIDEVgTrrqZgGIATC3BX5QY1q895ms7BzEyEZ54LAQAIhAwEAgYcV/VrhmWBcqUGubnlyMkpx50kOfLzK+DqZg5vb0u4uJrDzc281UeVrl3Lx66ddwAAL7wYRQkRIaRN2rx5MzZv3lzz9/fff4/169fXaSeXy5GUlITBg+s/K9KYTpEQOTg4IC0tDZ6engCAjRs31poD5ODggJSUFISGhgKoSpaKiopq9SGXy2tdFZaamorRo0cDAKZOnYqvvvoKn332WU3yVfUlyNb8XV5eDjOzqknP69atQ0BA/cnJg3E3FRcfLt1tcX3bvQYTIgAQB6ghsFCgYJ09TGVaWHWt/mLmAIaBwFyIMrUJsiocoWJpaKghZuYNJ4pmZiLYO5iiW0jVRGuVSou0tDKkp5bi2tVCWFpKMPoRb0gbGMlrSWq1DsePp+NmYiF8fWWwtzdrleMSQkhzKBQKZGRULebNMAyKiopQUVF7hQWGYWBmZoYJEybg5Zdf1vsYneIT8LnnnsPnn38OExMTMAyD2NhYeHt71+wfM2YMPvroI5w7dw5SqRQWFhYYN24ccnNza9osWbIEKpUKZmZmqKioQFhYWE1thNDQUEyYMAHvvPMOTExMIBAIUFlZiddeew02NjZYsGABFi1aBFtbWwgEAvTp06fWHKSG8ImLj/Cp/tj++mmwLFsrEXyQ0EWLJLUXpFo1bMxLIeaqTitWMhIUlVtBw3WKl0urkUpFCAyUITBQBpblsGNbCi6cz0efvvWPNLaUslI1/v47EQ4OZpg1Oww7tifBy7t9rSxPCOlcZs2aVbNga3BwMBYtWtTgpOrmYrgGZidlZGRg0KBBOHDgANzd+V91Q9qeVy5OxDfRmzD4nZ4IfbTxujjH/xfDu1+tlP/pnYJY/kUcJ0ac4932NXf+54n5X2U2k3efKl0G77ZNyc0px5bNdzH36W6o1GXxvp2pmP8Cssm3tNi/PwURPZ3Rq5cbGIbBhr8T0S3EAV262NdqKxLwf2z5XmWmD336NMTxDUmfq6boKrOH6zczqxgjRi1uM99l1d+tlU9MBaxb8Oo5eSlMflvbZu5ne0QTBjoBgUAAn1gXHF96renGxGicnM0gkQiQl8t/oV19JCWV4MCBexg/Phi9e7vXzFcKCLDFrVuFBjkmqXLzZgY2bT6F0wm3mm5MCDEKOgfSCTztmIkp37mhV2gWHI9cxLhJDZ+u2+3FP0e2ucV/nS7L6/wnYR9z9ePd9gk7fovYAkC2lt8vbSdVAu8+W5rUTImsvDRY2/P/5ahlm/6lnXynFP/szsSkyd3g4KKrVR8pJTUbDk6mdWsmGaBmUUcayeE4DkqlCnK5EnKFEmWlFSivqER5uQqqSg38/VwRGOCO0wmJuH7jHvr06orjJ69DZu2Arl34P7+6FhyFbA69akfp8RO7tfplebw/SNs2cyb/UftqDMPgjz/+0Os2lBB1EjIbMYaOtMOXn6U2mhAR4+rR0xr/7M6DQAAEBT/8cHphQSXOnM5HRkY5Hp3gCWcXs1r77yTJkZtbgSHDPB/6WB0Zx3HIzi7CrdvpyMgsgEKhhFyuhEQihrWVGaxlFrAwl8LcXAoHexlEYiHOnLmJnbsS4OZqh1kzhsLCwhS2dlbYvuMUugR7Up0qQniqnkxtaJQQdSKvvuWJIX0vorBADTt7ulKsLfL2McfgYY44c6rooROilLul2LMzExFRdhg42AVSad3yE0VFKvj5W8PEhIps3o9lWdy+nYXc3ErkF8iRkZEPExMxggI90CumC2TW5rC2NodE0vDIZ4/uVSOd9yc+nh6O0Gh0KCxUwN6+fY2WEWIsBw/ym//5sCgh6kS8fEwhk4nw43eZeOs/tOhoW8UweKgERaNhcTNRjhNH8/DoBE+4uJo12JbjONBAxb90Oh2uXk3DiZOJMDeXws/XG127eGHIoAjIZBZ6jerU11at1qCyUgOZrG5VekJIy1Gr1TWLrfNFCVEn02+gDHt3FlFC1IaxOg5paeU4cjC/zr4Hv2R1LAedWgFVJYtKlQ4qlQ4KhQYODiaYOMUL9g71r2FH6iopUWLDppOQiEUYNSoS3l6OLb6Glk7HQigUQCSiETlCDOHatWvYsGEDdu/ejYQE/eaDUkLUycx93g3bB19GmUILCyt6+tsiN3dTDIi3x/+vvoIHC2PcXylDIGBgYWYBE6kQUqkQJiYCWMskvJcE4arqbnZ6d+5kY9v2M+jTJxgx0YEGm99jYiKGRqOFRqOFWEzvP0JaQklJCbZt24YNGzYgKSkJHMfVqjXIF70jO5ngruawshbif5+m4sPP+V/NRVqP1FSI7uEy3u3FQivDBdPBsSyLI0ev48qVe5g4sQ88PRwMejyhUAgHe2vk5BbDw92wxyKkozt27Bg2btyIgwcPQqPRwNvbG88//zyGDRvGazWIB1FC1AnNf9kD//34Hha+5wUzM3oJdGZVI0Sdc4hIqVRh85YEcByHp54cAnPz1jm9aGdvjcJCBSVEhDRDeno6Nm3ahC1btiAnJwe2trYYNmwYduzYgZdffhlDhw5tdt/0bdgJzZ7niuVfZ+Cd1+7iy+WBxg6HkFaXnlGATZtOITTUGwP6d2t0SZuWVlZaDiurhie6k07CVAeY8a/l1iR1C/bVBm3fvh0bNmzA2bNnIRQKMWDAALzzzjsYMGAAMjIysH379oc+BiVEnYCf/U91tn395VbMeeodfPvF+/Dy+nfpB7O41bz7VWfYN93o/1lk8K/yl33Pjnfb0z78L10u0przaucoSuLdp5dZT95t5ZU3ebfVx8N8tWrZcrAcV39xR31yBAMUcWxpcnk5lMpKXL9WhBuJ6RgzOgoBAa6N3qall5eQy5XIzSuBg4OId99qbRqvdvoUOmwLBTL1Ksyoh3L19Vp/V2jKDXIc0rpef/11eHh4YNGiRRg9ejRkMlnNvpYa5aalOzqpGdPHIjjIB6MfedbYoRBiUGVlKvyz7xp+/uUI9uy5AoGAwdPzhjWZDBnCvgPnER0V1Gqn5wjpKMRiMTIzM3HgwAEcPXoUKpWqxY9BCVEntmPb97h5KwU//fy3sUMhxtKB6xCp1Vrs2XMFK344CI1ai2eficecOf0xdGi4URKSpDuZyMoqRJ/e3Vr92IS0dydOnMCiRYtQUlKCN954A3369MGiRYtw9uxZNLBGvd7olFkn5uXlhueeeQwvvfwpHp82CmZmNK+hs+mol91nZRVj67YLcHO1wfznh0Aq5b+WniGwLIsdO09j3KN9IRaLwLbM5zchncb/tXfn4U2V2R/Av/cmudmX7vsGhbKUTSjIIltBERBEGZcR0dEZxkFcRp3RGVzH9eeGjsigjs6o4zIzOC4oshYQBEFB1lbasnanW5qk2ZP7+6NaiN3elKY3bc/neXwkycmbk7RNTt773vMaDAYsWrQIixYtwtGjR7FmzRqsW7cOH3/8MSIjI8FxHKzWC9u3jmaI+rgVLz4ArU6Da667R+pUCOkSh4+U4N//2YMpUwZh3ryLJC+GgKamjzIZj/S0eKlTIaTHGzp0KB555BHs2LEDzz77LDIzMwEADz74IObPn49Vq1ahqIh9LehPqCDq43iex38+XIH1G3biq6++kzod0s1EEb1qiqi4uApbtuRj0Q0TMWRwUsd36CZyOQ+vt3efBURIdxMEAVdccQXefvttbNq0CbfddhssFgv++te/Yv78+UGPRwURwdQpY3HpjAn4xXV3w+/vAacLEfIjr9cHq9UJURRhtTqx9vPvsfDqHMTEdO2WGxdKp1PD5/PDYmmUOhVCeqXk5GTcddddyMvLw+uvv46ZM2cGPQatISIAgDX/fQnRcRNR+vc8pC6ZIXU6pJs0be7as2aI8vMr8P33JSgvt8AvihAUMmi1Bvj9Ii66KB3JyZFSp9gCz/Po3z8RxcXluOii4DvoEkLYcByHyZMnY/LkyUHflwoiAgDQaDR48fn7cfudTyDuyhwoY6XvU0JCryctqhZFETt2HEd+QQWmTxuItLQoCELTJqlnq0T4fH4kJUVInGXbBg5IxoGDxVQQERKmqCDqA3jFEKa4pcv+gidWPI+6J/6JJ74Y2WH8cwkLmXOIOexljlWVsy+Cfev0BObYGQnHmOLqfGwNHAEg0WdhjnW31vywDT6wn4bkdrOPq1ME9t5x+cwQfTwcXneLWLU8iDU4jAff5ej8oay9e0+hqOgsblw0FlqtMuC2xERTp8dtTzC73XfUaHHAACPWfVmBenMljEb23zFW9U72nb3VCvafrUqW3Jl0uhRrc0oAcPpKAy67fC1/twlpDa0hIgF+/8ZglBXbUfBNaLrIkjAjAj1hgqi8vAHffHMKV189qkUx1FMoFHIMHZqCg4dOSZ0KIaQVVBCRADEpKqQO1uJ/K05LnQrpJhwHuJx++DtojuPziSg4asa3e2rw/b5aFOQ3oLzMDqvVA7vdC4vFBbPZhdpaJ8xmF2xWDxwOL7zeC1uo73B48MmnB3HZZYNhMqkvaCypDRmSisKicqnTIIS0gg6ZkRbmLU3Cq3cWwu30Q1BRzdybuT1+7PvWgr27LUhIEjB7XjQEIfBn7nb7kX/UjH3f1sJgUCA2TgWfT4S9zA5LgweWBg8AAWVlNiQmaKHRKuDzifB5/fD6/PB4ROh0CkRHq5AQ60J0tBZGowp6vRIGgxIyWdu/Y6dP12HTph8wKCsOgwb1/B4+RoMG9kaX1GkQQlpBBRFpYfSl0VAoi7H5nXLMXiL9+gESOiaTAolJSlw+Lxq7dzTgf/8+iwmTTYiIkKPa2ojjx60oOGJGcqoWs2YnISm59W7mcl6PXV9XoLbGiSvmZwTc5veLaGhwo6bGAUutHCdP1sNqdcFqdcHj8WHatP7Izo5rjnc4PDh6tAoF+QVwOD2YNLE/srMTQvo6dBee5+B0eqROgxDSCiqISKviUlUo/v7C2qCT8DdqjB6jxjQtHM69LAIFR+3YtcMMe6MfUSY/UlK1uOGmfjAahQ7Hyhkbh7f+no+SM1akpJ5bjMzzHCIilIiIUEI1KLDALi1twEcfHYHRqEJjoxunT9cjP/8s+vePwiWXZCIjIxI833tmKXfvPoZhw1KlToOEAYXaC2i6sDh2sZ+4QlpHBRFpVVyGGuXFdqnTIN2I4zgMydZiSHbTGVBBnWUGQKHgMWVqEvK2lOHGm7LA8x0v105ONmLMmGRs2lQEo1GFuDgdfvObsdDpBMj43tX6wev14eChU1j6u1lSp0IIaQUVRKRVqYM1KNhtljoN0sNkDTLh+/3VOHyoFiNGRjPdZ+LENEycmBbizKRXWWVGRIQWOl3PXhhOSG/Ve+aiSZeKSlTC7aItuUlwOI7D9Nxk7NpZAaeTpvDPpxTkcDo9EEX6uyIkHNEMEQlwddzVAIDRl9bizfufxus3VWDtZ7dBEFr+qjyVY2Me11fI/q1YW8Ecitqd7GcefTOd7ewep4+9MaSaO8wca5KxfxC6RBlzrIZjP63d7WNfFybn2JtOyvlza4bi4jXo19+I3bsqMW164JohbxDNKcPhkFlHzRaDER1tgF6vxrbtRzBt6jDm+7G+DhGqcZ1NTRI+P3uvM5ungDnW4S0LuOykTXUJI5ohIq1KT4/Czh33ID+/Ev0zH8WRI9Q7hbCbdEkC8o/Uoa7OKXUqYYPjOMyfNxYHDpyUOhVCSCuoICJtys5OxPHiRzF0aAImXfIiXn11u9QpkR5Cq1MgZ1wctuWVdRzchxgMatgdLvh8NGtBSLihgoi0SxDkWP/l7Xjowcux/MG1mDd/NbxeWhtCOnbR6BjU1Tlx8gT7obfeTiaTIT0tFvv2n5A6FULIz1BBRJjce28utubdhe++O4PJU16WOh3SA8jlPKZOS8a2raXw+S5s+47eZOaMkdi5Mx+HD9P2OISEEyqICLNRo1Kw6+t7UVBQgZdfzpM6HdID9M80QKcXcPBAjdSphI3YWCMW3TAVGzcdQE0NzZ4REi6oICJBSU+PwoPLL8ejj30Jv9MtdTokzHEch2nTk/DNrirY7XSo9SexsUZkD01FfkGJ1KkQQn5EBREJ2r335kKh4GHdxX7KOem7oqPVyBpkwq6dQfRT6AMa7U44HW4cOXKaehMREgaoDxEJoNNcyxQ3YMAbsB7eizlLVEzx2xLZe6ToStlnEjgfe7+ek9VRTHFynn29S6Kynjk2GDqefUf0ESr2WQZBpu84KATGT0zAP98swNjRHGJjdZLkEE54To/EhCRs234QBT9UQybTYeiQ9FZjfWDr1yPIQ7NHmtt7hjm2xr6ROTZUfZNsnsAWIY1eAOh4Lz5CaIaIdEru9EtQlV8ndRqkh9Bo5Bg/MR55ecdpNuRHE8YPxZ8f+CWuvuoSbNq8j07FJ0RiVBCRTrl58S/gqHPB76WzhwibESOjYbW6UVRUK3UqYSU1JRYRJj0Ki6hnEyFSooKIdMrw4UPA8UD5YfpwI2x4nsOMGf2xdetxeKmQDpA9NB35BbSWiBAp0Roi0mkcz8PVQGeaEXYZGZGIitLiu+9KcfHFoVnz0hP175+Ib/YWYPVra5GVlYJh2RmIiTFJnRYJIa3GBV7bdR/BfpcLDsbY3bt349NPP8X333+PyspKGI1GDB8+HHfccQeysrICYr/++mu8/PLL+OGHH6DVajFz5kzcd999MBgMAXGNjY1YsWIF1q9fD4vFgszMTNx+++3Izc3tomcYejRDRDpNpuDw7VsFsNN+VSQI06f3w549JbDZqJj+icmkw9Lb5mHu3PEQRRFvv7sJe/f+IHVapJf64IMPUF5ejptvvhlvvPEGHnjgAZSXl2PhwoU4cOBAc9yePXuwZMkSxMfHY/Xq1bj//vuRl5eHJUuWwO8PnOVdtmwZ1q5di7vuuguvvfYaMjMzsWzZMmzf3nO2fKIZItJpc56fiE2Pfot/zP0ct+9aKHU6pIeIjNRg2LB4fPXVScyendXxHfoIjuOQkhyDlOQYjL5oIN77YAscThfGT4gEx3FSp0d6kUceeQRRUYFn3U6aNAm5ubl488038corrwAAnnvuOQwYMAAvvfQSeL5p/iQmJga33HIL1q9fj9mzZwMAtm/fjl27dmHlypWYOXMmAODiiy9GSUkJnnnmGUyZMqUbn13n0QwR6bT0CQm4dd1ceF1+7F59ROp0SA8yYUIajh+vRUWFVepUwpLJpMNNN16K4uJy/HfNXlitNAtLus7PiyEAMBgMSEtLQ2VlJQCgqqoKhw8fxvz585uLIQCYOHEi4uLisGHDhubrNm3aBL1eH3B4jOM4LFiwACdOnEBxcXEIn03XoYKIXBBezmPaAxdhz+tHseWJb6VOh/QQKpUckydnYMuWYlpI3AadTo2bb7oUMTEGvP7GVqzfcKjFYQpCukpdXR2KioowYMAAAEBhYSEANF8+38CBA1FUVNR8uaioCJmZmQGFE4Dm9Ug/jRXu6JAZCcDJk5hjr43Y0/T/JcC2tBg8dPsJOAtK8PqaBKg0gX8Y/xs1mnlcA3sfOMid7B+m/pNaprgCD3uzxwjBzhx72hrJHGt1KZljHx/8KXNslMDemFGtYP9dUMmSmeJkvLH53yNH6HHg+3oUHnNgyJCEdmN7Ap7r+qaXMpkMM6ZfjPHjRuKDf+9AcZENgwendPnjtCeYho96gX3Gz+krZY51eNlbEtjFwPeeIN4ieoWfZnjOZzAYWiyCPp8oinjooYfg9/tx6623AgDMZjMAwGhs+XdoNBqRn5/ffNlsNiM9Pb3VuPPHCnc0Q0S6xNTLtPhwaxLOVvhwzTTqp0I6xvM8ZszIQt7WQng81JSwPVqtCpMmDMbOXT/QjBpp1w033IDc3NyA/95+++127/Pss89i8+bNeOyxx9C/f/+A29pav/bz69tb59ZT1sDRDBHpMkkpCvxvRzJmDDuDr7c0YmIu24wM6btSUyORlGjCN9+cxCWXZEqdTljLykrCzl0FOHz4NIYNS+sxHzKke7333nuIj48PuK692aEVK1bgrbfewvLly3HVVVc1X28ymQC0PrvT0NAQMHNkMpnajANan2UKR1QQkS6l0fEYNlqJ1c+bqSAiTKZNG4h//GM3hg9PgtGoljqdsMVxHC6dORIff/wNtm47jIyMOCQmRsKgV8Ng0MBo1ECtbjrU2tjoxMFDp1BRUQ+NRkBKcjQGDUqGXM5+OJj0TPHx8UhOZjuE/fLLL2P16tX4wx/+gMWLFwfc9tPaoaKiIkyaNCngtsLCQowaNar5cmZmJjZu3Ai/3x+wjuintUMDBw7s1HPpblQQkS637E8RWLKwEhUlHiSkKKROh4Q5o1GFiAgNTp+uw/Dh7OuW+qLUlBjcecdc1NXZcPJUFaqqzCgqqoDVaofZbIdaLcBo1KCqyoxBg5KRNTARdocbBw+dwoaNBzB58hCMGZ1Js0sEK1euxKpVq3DXXXfh17/+dYvb4+PjkZ2djbVr1+Kmm25qLnR2796NqqoqXHrppc2xM2fOxJo1a5CXl4cZM2Y0X//JJ58gIyMDmZk9Y/aXCiLS5YaNViGtnxx/XHIW735JH3CkfXv3ngLHAUOHtlxYTVriOA5RUXpERQUu4hZFEXV1NtTWWpCaGgOV6twO72NzBqC6ugGfff4tTpyowhVzc6DRsC/cJ73LW2+9hVdeeQXTpk3DhAkTApoxCoKAIUOGAADuu+8+3Hrrrbjnnntw7bXXoqqqCs8//zxGjBiBWbNmNd9nypQpGDduHJYvXw6z2Yzk5GR88skn2LdvH1atWtXdT6/TqCAiIfHc32Nx7fRybPrMhpnzdFKnQ8LYwUNlmDM7GzIZneNxIdoqlH4SE2PEzYunIS/vMF57fQNmzhiBoUNTwXEcqqrMOHGyCiajBoMGJdMMUi+3devW5v//9O+fJCUlIS8vDwAwfvx4rF69Gq+88gqWLFkCrVaLGTNm4A9/+ANksnOHXzmOw6pVq/Diiy9ixYoVzVt3rFy5EtOnT+++J3aBqCAiIZGSIeCyK7V45k+1mDZbI3U6JEzV1jXCYfdAqaS3ou4gk8kwc+ZIDBmagnXr9mHrtiOIjjY0HWLLSsL+/cfB8zyysmhmtzd79913mWMnT56MyZMndxin0+nw8MMP4+GHH76Q1CRF70IkZJY/F4WvNtlxxy+rgN9InQ0JJ6IoYsuWYzh8uBxTpgxAdDTNInanpMQo/PrWmaiutqC8vA4LrhwHlUrAd/uKcTT/DBVEpE+igoh02tjELzqM2f1VIUaPXYhBW97EpPtymMbds+8i5hxMxS7mWP0ptjUTDQoV85jflAxhjvUHsWSDD2Lf09WGqcyxtyVtY44dpGZvsqdSs53VAjQVQxs2FqD6rBW33XYJ1OoLX3jf05o4BoO14aNfDG4bFI7jEBtrRGzsudcue2gqtm8/iqNHz2Do0KaGjMG8thphKHOsz9/AHGt100a3JPTooD0JqezsgXjy8btR8HHP2MuGhN6RIxU4c6YO11wzukuKIdJ1VCoB119/CbZtP4IteYeoCSTpU6ggIiF35x2L4HP7UP5dy5bypO85fboWY3PSad1QmEpMiMSvbs5FSUkNPv7kG3g8XqlT6pWMSici1I4u+8+opA2ALxQVRCTkBEFARLoB+948LHUqJAyIIsDzdBZTONNolFh0wxTIZDxee30DNm85iO1fHYXZ3Ch1aoSEDBVEpFuMv2cMyr6rQvWxWqlTIRLjeY4OxfQAcrkM8+eNw+zZY6BWC3A63Pj7m5vw3zVf4+SpKvoZkl6H5qxJt0gdn4i47GhsuHc7Fn1+Vcd3IL0Wz3Pw+ejDtKfolxGHfhlxAIBp07Jx8NApbNx4AF6vDyNHZmDwoGSYTFq4XB74/G6o1UIHIxISnqggIt3mshem4l9z/oe8R77G9McmSp0OkQjHc/DT7EKPJAgK5IwZgDGjM1FaVosDB07iX+9th9XmgEIuhwgnxl+ciYkTe8beVYScjwoi0m00kSpc9vxkfHn3NiTlJCBrbj+pUyISkMl4+Hx+5vh771uDF55fGMKMSLA4jkNKcjRSkqMBoHlTz9q6Cvz9zW0YPz4zYJNPQnoCKohIp/EK9h48i6J3Nf1jPmA6YsC/H9+FJVPOICWj5fT6ujHDmMfVl7Lv3q2wss1KqKrZF/yKQbzna4rYY7kgZlDOVGYwx97ZL405Nndc24vgfS4fjv/3JDw2Dzg5j36yt6HTc7hisQCluu3XL0rmQqXdgQaRQ5S5/X5PKboFAACvvwF299F2Y4Ppf9Nbexax9isKlsdXyhTn8wMmkwaJiRHYkpePGblD290CJJifQ4RyHHNsg+d/AZcFDqCPOsKCSnjS7W5fHo2BQwXcdlU53G72mQISHkSfiAPPHULsuBgMvW0whvw6Czffp8LoKXKs/osT/g7WB/F804cn6Z0WXDkaJ09WY/du6j1GehYqm4kkVv4nEfNGn8aKh2px///FSJ0OCULp1nKYBptgGhD4DT9jkAyZ2Tx2funF5LkK7FjnQWQMh6E5595mDu3348BeDqPHnyuaPvnAhzOnRKhUgMsFTJnJY/jotr+rVVba8c7bP+CnSTSv14/rr4lAdnYiAGD//jP4+JMDUAg/zh6KwN13TYfBoMb+/Wewbl0htDolrFYn5HIed90xCwZD0357b/5jK0YMT8OY0YGHc/9w/3t44i/XQKlUYEveEezceQwqtQIOhxt6nRrLbr8MavYG572aWi3gumsvxjvv7oRaI2DUSPZZSUKkRAURkYRKxWPabB32fGWXOhUSpKrdZzH8rtYPUU2eo8AbTzkxeW7bHag9HhFKVVPBs22DD3GJHK68/tyhz5XPeJHWj0NKK9ubORxePPH4d3jyqXEwGs/theJ3RwEAjuZX4KP/fY/HHp0LubxpTJf7XGNBQZDjoQcXNK9vKS6uxFPPfIpnnroeAHDlvBy8/MqXAQVRba0Nep0KSmXTc4qO1uORh69uvv3rXcfw6qoNuO+e69p8zn2NwaDG9deNx/sf7ILb5cXYsf3aPXxGSDiggohIZsGNeqxbY4Xb7Ycg0NHbkPL7keKrR/zBOsj9IjgAfhGoN6lRkBgDu4r9VGm3xQPB0Hq83sTDZm7/kJnLKUKrbfpwPPCtiLsfDFwHNvlSHt/t8iP72pb3/XpnBWbNSg0ohgBAp2u6/NFH+7Fs2dTmYggAlMK5t7ns7MSAxb6ZmfFwuTzNl6OidLDbXXA63VD9+Jp8+tl3mD9vTHPMiOGBMx4TJ2RhzUd72n3OfVFUlA6Lb5yE/67ZixMnz2LEiNTm2ziOQ0y0Hn5RRF2tDTabE7ZGFxptLlhtTlitDrhcXowckYZRo9LA0Q4vpBtQQUQkw8s5iGhaU0JCJ9FTj3RHNbw2H8wHHHCe9UD0A3ItD8MgFy6xOmAVFPgmKwX+LvhhyIW2ZwK8bhHmeh8SUpqOL5WeFvHPVYFbQ7hcQGZW62OcPm3D+PFxbY5fXW1DQnz7i3XXfr4fhYUV4GUcOI5DUVHgljIzZwzDxk2HMe+K0QCAg4dO45ZfTT33HLw+/HfNHlRU1IOXNb1elZXsG5X2JUajBr+6eTL27DmOgoLy5uv9fhGVlWYoFHJERmqh16mg06uQmGiCVquC3tD0+7F/3yn8bfUWZA70YcKEZOj01OOIhA4VREQya9+3ICpGBrmcKqJQSfXUINlei8qNFthLPQG3eRp8cJR7UL3LhoSZBkzxnML27PQOiyLBoIDb4m51lsjWIEJvbCpmOA74+VxR8TEPIqJkUKubHiMlncPNS4N5GxJxIUde3nzra/TPSMW998xpvi4/P/AsqunTsvHHB97DvCtGo6CgDEMGJwfc/vwLn+PyWSNx/XUTmq9bctsbnU+ql5PJeEyYMKBT950zZySmTh2MbTu34K23DmLkyDiMHZcIlYo+ukjXo08iIplvdzowPIdWooaK0duIFEcdyj5vaFEMnc/vFFH2RQP8VS7kFHV8inX8+FiUbi5v9bavvvBgXG7Th5XexKHRcq4karT6cOSAF5lZ5wopb5D7hqam6nHihKXN26Ojtaisavv2goJK5OZmN1/2eHw4dPhMQIxCIUNkpA6VlWZ8/Om3WHDlmIDbz1ZbMGLEucNmtbU2nDxZHdwTIcy0WiWmTUvDzb8ajsZGD/7+xgEcOnSWtg4hXY4KIiIJv9+P8hIvZl/dyspZ0iX6Oc7CfMQO11mGqsMPVG2xwuR0Q+hgd/OkaYmo/8GMhqLAw0SnjvlQesKHnGlNBVHGIB7HDviab/d4gIpSGUT/uQ+ynIkc1n/qCxjHZhVhb2z9w27SJQn48sszsFjcAdd7vU1jLLz6Iqx8dVtA40dRFJsvi6IIu93VfNuaj/YgMzO+xeMsuDIHaz7ag/r6RsTGBh6CczjcAeOv+WgPBgxoOQbpWgaDEpfP7o+FvxiE7/dX4t8f5uPsWdpslnQdmnck3WJU1J+b/+10uvHQwx8B4mncdvXjLTrazhyxg3ncXSdGMMcaj7M1v9FWMA8JMYjDN4KN/RutV8k+cMwhV4vreN4LTZoH1Ued7I/Z6Iej3IPRjWdRUR2L7w+2/dpyEUNxcPUeiJ5qgJdhkyEafIwRwuwxuOPAuQXNHkMxvrq/HFDIwAkKpE86iw3H3Kir/bGp5yjg1OZKfPGYBTIlD4iA3ydi8PVpuEK5GQBQ47Zit3lz85iz7vDhkZe+BMcBHA/4PMBvrnZgxIhYDMgC5syJxyOP/RtKpQw8z8Hl8mHZsotgMqlw668H4JFH1yAiUgue43DxxQMQE92yoWH20BQ89PB/8ZtfT29x269unooH/vwBIiOaivnZl4/ED8fKmF/nUPGLVqlTgM8fmrVUVfZzP3/OAFy6UMSRgw689a9D6DdAicnT9c1nsUUJgwLu61F4ALA1l+xOUapGKNW+jgMZuVROVHYcRtpBBRHpVsdPVGHCxL/A7xdx952XUXv/EIkwNsJd54XXFlwHRMsPDkRN6njhKidTQJ81qfmyNaccrv/tAjxeQHGuIFKMyYRiTGbz5f7GAyjacDpgrPQZ8Uif0fYMyy0PBxYsUfEyXHOnNuC6EZGxzf8ePToeo0e3Pl5mZgSee3ZywHVTp7TecT2zfxxmnHd47Sdjc/pjbE7/gOtWvLC4zfxJ1+N5DsNHaTB4qApr3q/HiSIX+g+kw+/kwtCnEelWVosTjY1u3HLLFDz+OO1PFSoymQ9ee/DtoL0OETwX/NoMPkoP5YLx8J1o/zuqOkIJr8sHl9XdbpzUCosqkJBggiDQd8ZwphB4XDJdj907bfD7aU0RuTBUEJFuNXJkGv7x1m+wcuUmlJTUSp1Or+UXOXDy4E/H4mVAZ9eq8tEGyLPb70rMcRz0CVpYymyde5AQO3nqLJ58+mO8+68d+N1tM6VOhzBIThWgUvEoPRPeRTYJf1QQkW73i4VjIZPxOHmqRupUeq1GuwqqWDm4IP/C1UkCPGJoZ0XisqNQsqcqLGeJMtJjsfxPC/D4Y9dAraaeNz1FQqIC1VVBnrJIyM9QQUQkIZfzqKsLz1mC3sDhUMPv46Hrr+w4+EccDxiHqlBjjgphZoAxSYfYoZEo2UNLQEnXMNf7YDDKOg4kpB1UEBFJKBQybN58ROo0erUGhx6RY7TgGCd8jNlNRVSjQx3axAAkjIhG/WkrvK6uO8uG9E3Fx5yoq/UiNZ1m9MiFoYKISOKpJ36Bt9/ZiYXX/BV+f/CLf0nHamqNEBUKJM42dlgU6QcoEZWjRVltbPuBXUAURdhrnZDJeTgbWrYMICQYp064MHqctnnDYEI6i36DiCRuvXUqNm+8H5s3H8UTT34qdTq9FI+TZYngTSqkXR8J41AV+J/tM6ZOUCBhlgGxk/UorYmBwxna2SFRFFG08QxObC1FwshoaGNCPxtFejetTgarhWYayYWjc0pJt1DIkltcN2lCMhYvOog3/v4VHn/0jubrb4jezTzusWnsMxr2swlMcRqWzs4/krnZZ7cUVvZxnVHs0//+ds8mk+FEVRIiDTZEjDYjerwfXqsPfl/T5q4cz8Hq1qC4PBJevxw4bxmG4TT7omdxY8vmhq3ZPDUddQXViJ4/HbUyHgUlbccK6eyvV7aGfbd5QZ7acdCPZHz7G8WeL5jGiDzH9noFOy4rt/dMx0E9xIBBSnz2kRkpaQISkwUoZIaA2xWy8Fu8T8ITzRARST395K2w2Zz47dKXpE6lF+NRZzHgeFUqTlQkosYbi3rEoKwhFsfKU1FeE9tUDHUDv8MFXiWAk9FbD+ka0TEKTJmux64ddJIGuTD0rkQkZTLp8P67f8I/396AL9axf8snneP2CjDb9Ki3GtDo0KI73wK8zkZYvvkBqvS4bntM0jek9VOivtYLp4PWI5LOo4KISG7eFROw6Je5uO6GJ2A207e83sjrbETtD3ugGZAI7RD2Q1aEsJDLOcTGKVBV6ZE6FdKDUUFEwsIbr90Do1GLW37znNSpkC7m93lhPnEQuoT+UA9Ikjod0kvFJypQWU4FEek8KohIWOB5HitfvgNfrNuL6gp6U+stRL8Pdcf2QqExQBNLM0MkdFLTBRzLd8LeSB2rSedQQUTCxpXzJyKzfyJ+M/s0So7TmSG9gaexAQAHQ9pQcFzwe6sRwiohSUBcggLFxV1/Vh7pG+i0exJWvv3mVYybfi1+ddkp3PtULC6/xiR1SuQCuBpqIBiiqBgi3UKn4+HuId3PY5RWaFRd98XPrqQmpxeKCiLSLRTqy5jijGrg4O5/YflD/8LzD3yGol0ZeOefd0EQFK3G/9L1KnMO/zd2NlOc7yD7n0VEEfsbGm9nj1UxRwJ+gX2i16di3+/JFcTeUIYzgYc5RVGExXwavrrTiE8eDeHH20+Vsfffcaa0/jNvzXHHKeZYtWIXc6xBOYE5NlQ9i1j5/A0hiQ2G18/+vOQ8++9ClDqHKS5aXwF4tVCd1/dMKbMDKGB+LNJ30SEzEpaefHwRPv90OfK2HkJM/E34v+f+J3VKJAhORx1sDWVISMmBoGT/4CPkQghKGVzunjFDRMIPFUQkbOXmjkBl2T9x++8ux+NP/AdJqbdg77eFUqdFGHjcjVBpIqEQtFKnQvoQQeg5h8xI+KGCiIQ1nufx1JM3orLsH+jfLw6z5z4Op5MWXIc7v88LXsZ+yIuQrqBUyuBy01lmpHOoICI9gk6nRt7mx6FQyHHlVU9LnQ7pgFyhhtNeD1EUpU6F9CGCIKMZItJpVBCRHkMul+Pzz5Zj+1dH8fa7eVKnQ9qh1cdBFP2wmHvPJqIkPPn9ItxuH+x2L7w+P60hIp1GZ5mRHmX0RZm46865+N3S1Th9qhrJN0udEWkNx/GITRiOitJvIZML0OkTpE6J9DKHDtZg4/qmglshyCCTcZDLeaSnxkqcGempqCAiPc4zTy1GSko0/nj/24j/RI3ln7Cdkku6l1yhRlziKFSV7YdMJkCtiZI6JdKLDB4SieKiBigUPObOS2/udSXn2NsfEHI+OmRGeqTbfzcbhQWrUHncjrV/PSF1OqQNglKP6LihqK3KlzoV0ssoFDzmXZkBm82DnTsqpE6H9AI0Q0TCjlKzkCmu3wDgvj+8jhee/R4r7rkERpOy3fi9I9mas+2oG8YUBwDOKIE5NrKA/c9NaWY/U0ZuZ48Vg+gY7Y1mz9evaL2JoyiKqG+sBhdlgjNCBk0Z+3ewImsMe6yW/ZCcu2EPc+xYE/tsg0YYyhwbTBNHqdU72V+vYKgV7Bv9nt9oMYAMuHZhAt59dz/iomQYPjyhxWsryGgrD8KGZohIj3b3PSMRE6PGrBmfwev1S50O+ZnG2jPwOCyISM6WOhXSS2k0CixcOAzbtp3EqVP1UqdDejAqiEiPtzFvHmpqnJg26WNUVtilTof8yOO0wXL2BKLSRoKX0WQ0CZ2oKA2uvHIIPvusADU1NqnTIT0UFUSkx4uO0SBvx5VwuX24aPiHuOmGTaivc0qdVp8miiLMFcegj+0HuaCROh3SB6SmmjBtWj/857/70dhIG52S4FFBRHqFlBQ99u6/Bm/+MxcHDtQge9AHWPrbbbAHsb6GdB2ntQY+twO6yBSpUyF9yLBh8UiIN6KoqFrqVEgPRPPYpFe5fE4aLp+Thg/fL8RjD+9FVr93ccONWfjLk2MBsO/eTjpP9PvRUHEMpoQscDx95yLdy2RSw24P/+19EoUG6JVd9xFsFejL34WidyvSK133y4EoKF6EBx/OwZr/FGNgxr/w3crv4PfTwutQc9nrwcvkUBnYzxIjpKtotAIae0BBRMIPFUSkV/vt0mwUnlyEpcuGoeDDfLw/7T0UrS2UOq1eTSZXwud10z5mRBJajQB7IxVEJHhUEJFej+d5/PFPo3HDtkXof3l/fP3E19h872b46TT9kJArteA4Dh6HRepUSB+k0dAMEekcWkNEerT4qDeZY5/MvAZYPRx7b07AjdfvwBdXfIgPP5qCQUMCG7m9NGs385h7qtOZY0sHRDLHavLbbzJ5vuiD7M0WZW72IlBoZI/1aM7/bsVBE5UMW30pInSmgDhdKfusUcmmNObYL2exb+iZqqljjhW4dcyx46LaaB4Yhrx+9maFte4fQpKDUQyiYSJ7/1Oo1CbYbA3w+RsAAD4/nYZP2NAMEelzxl4cg++PzkNKmhYzp27EqCGfYfn9+3G2ik7V7yqayCQ4Gqrg93qkToX0MWq1Ag4H/d6R4FFBRPokjUaOtetzsffAHFw2Owmff1aC0cPWYu5lm+GmU/UvmEyuhMoQi8a6UqlTIX2MVquA3U5r2EjwqCAifVpCogbPPD8aBwvmY9O2S1FaYsfq3M9Qup/6mFwoXXQqGmtLIIq0Vot0H5mMh0Ihg9NJX2xIcKggIuRHg4YY8d2huUjJicW/b92Gr14+JHVKPZqgMYKXC3BaaqROhfQxWq0Au50Om5HgUEFEyHnkch4L/joJMx8aje/eKcQ7126iQ2gXoGmW6IzUaZA+RqNRoJFOvSdBooKIkFYMv6ofbvlsFhprnPjb9M9w4D/FUqfUI6mNcfA4rHDbG6ROhfQharWCZohI0KggIqQNpiQdfrtpDgZdloK8/zuAVyZ9jLV/2I2KI7VSp9ZjcLwMpqTBqD25H5aq47BWnYDTWkvrikhIaTR0phkJHvUhIqQdPM/jssdyMO3+Udj92lEUbS7D+zfmQa6UIWlkFDSzvYgY1w887dnVJrUpHjKFCvaGSkDkYKkohM/thC4mDbrYDHAcex8lQlhotQKOHKlCfb0DVisVRoQNFUSkz0iO+Q9T3HMRZa3fkNP0P7vdjr+tfhfv/msNjjz6MdRaDstfjMfEGdp2xy1KjWfO9ZWIqcyxNT72ho/R+ezroZR17B8kfln7nfPUciPUUUaIMgDRgNdlR23JIcDphikhq9X76IJYenR4fzp7bHQic+yxxDjm2Kdlf2WOzTLdyRwbCnJezxyr5g3MsQ4/e3fyBk8bf2cXSK40YugwHVRqLzxeDxqsrpA8Dul96GstIUHSaDS4957f4sD+TdhQ0A9jL9Fg+ZIK3HZlCYryqbljR0S/Hw5bNXxeJ3gZfScjXc9oVOGi0fEYNy4JY8awfxEhfRsVRIRcAEHg8eirCXjj82Q4HH78ek4prr3kFL5cQ/t4tcbndaGqeBeclhpEp10EQ2x/qVMihBAAdMiMkC4xYIgKb29IQ0WJG399rAbPPXAWLz9ajcsXGvC7P0dBEOi7BwDYas5AqYuEKWEwrR0ifVqcwowIRde9L9Qr6ESFC0Xv0oR0oYQUAU//PRHr8/thwWIj1q+xYM7wk/j33+ulTi0s+LwuCCoDFUOEkLBDBREhISAIPH77x2h8cSgDCxYb8doztbhnwh58+ORxVJf03XVGMoUKXo9D6jQIIaQFOmRGSAjxPI+lf47GjctM+MufbdjzeTU2v1MBlU6GfiP0mHR1LMZcHt0nTtv3epzwOCyQK9s/G48QQqRABREh3UBvkGPJi4MAADazG9ver8R3G2rw5h+L8Nb9RfjFAxnIXcR+OnhPIooibHVnYKk+Dk1kEoxxmVKnRAghLVBBRMjPcPIk5tjJ6UXMseMdG5r+kQIsfRrA000X//zgm3jxyY9QkqdF3qbnAAA6fjnzuH8VcpljHZXsfXX0NvaeRTJX2ws6zTXH4bCeRWLyOMDIPjskd4rMsYZi9hk2X6mKObb8YApz7KsLpzPH/sr/N+bYIYYrmOKC6S0UjDjNDOZYqzufOdbuLWeOlXPsz80rNvzsct89RE2C0/vn6QkJc089cSsO7n8Ne78twPyrHpI6nS7lbKyDzVyK2JSLIFeopU6HEELaRAURIWEga2AKtm5+AZs278fU3Hvh9fb8U2i9HgdqKg4jKiEbMrlS6nQIIaRdVBAREiZyxmRh766VOHL0JJZOOoyacrfUKXWa3+9DddlBGCLToNZGSZ0OIYR0iAoiQsJIdnYGzpx4H6ZoOe6cfhgv3XkcdVU9qzASRT9qKw5DIWihj0iTOh1CCGFCBREhYUajUeHZz4di8fJkFO5vxNJLDuPlu45LnRYTv98HS+1J+H1eRMUPoQaMhJAegwoiQsLUrBvjsGrncCz/Zya+3dSA5VcVwGkP37VFTns9Kk5+DYe9DqbYAeB4mdQpEUIIMyqICAlzwyYY8dwXQ3C21IVbR3+Pv91/CpY69lPiu4PNXIqa8oOIjBuM+NQcKFVGqVMihJCgUB8iQnqAhAwV3tg7El/8owqfrq7E9o9rkZKpwoKlCcBQaXPz+dyorylCfNo4KASNtMkQQkgnUUFESDdRqC9jjr06pfUZlqsfBvAwsGfvESx/8G949b4DkCufx7IX0pEzI6LDcVfeyN48sOazBKY4v1cGfgvga7RAxbXfa8jL3msRPiX7+iNVPfvAPoE9B1sKew5fbxrGHHt8HPuZd9Pi2Jp/5uqOMo+ZourPHKtWsDcqDVWs129ljnV4ygIuOz0e5vuSvo0KIkJ6oHFjs7F546twu924/OYFeHHpCcy6KQY3LU/t9lx4uQKxiSNQU5UPn9cNg4m9uzMhfVWSvB4xiq4bTyMHgCCqfdICrSEipAcTBAFL/y8Dd76UgfVvV6Pwe5skeajUEYhLHAlzbTFEMYhpIEIICRNUEBHSC4yfHYnoJAGbP6yWLAeFoAXH8fB5XZLlQAghnUUFESG9RHJ/Fc784JDs8R2NtXA66uH305oNQkjPQwURIb1E/5FaVJd1f1drURRhMZegpuoI1JooeL20uzghpOehgoiQXiJnhgmNFh/M1aEvikRRhMtcjcaKk2goOgBbQynik3OgNSTA1lAGUQzfBpKEENIaKogI6SXSBmkQnaDAH+cWoKQotIfObCWFsJ4phN/thGCIRHzKWCgEDUwRGfD7fairPkaLqwkhPQoVRIT0Is9+PgRxqUr8cW4+PnyhrOM7dJLXboU+ZQD0aYOhiU8D/+M2HRwvQ2zCCLicDbDUnwrZ4xNCSFejPkSEhCG58mLm2F+kvRNw+aa9wOrXPsRdv38ahzcJ2LLxLaSkNDVZzFZdxzzuvJq2Yz1aARZFNdRD9AAA08lzDVU4mQLRSSNQeWYP9NEZARu8ClYf8+N7dOx7oXm07A0UFXb2mSuhgX3cxhT2cc+UsTdmzBPZcqiPYu8Sfm3kHubYNJmBOVbO65ljg+Hwdr6494nsv3Okb6MZIkJ6odt+ex1On9gMQSFH/4GX4a67n4Lb3XVri4TkGLhLz7Z5u0LQgJcJcLvYOwwTQoiUqCAipJeKj4/BkUNr8dQTd+Of73wMY8RYrP2ovkvGlkUa4bc74Xe3fYq9ShMJh026vkiEEBIMKogI6eXuu/cW1NfswW23XYc//74U/32vtlseV29KQaOlApUl38Fuq6ZF1oSQsEZriAjpA3iex4oXHoBP2IC//Kkc1We9WPr7uE6P56u3gFcpwSnafgsRlDokZkyA3VoFc20x6qsLERM/HIJS1+nHJYSQUKEZIkL6kN/dHYc/PZaA114+i/m5hait8XZqHGdRCYTU+IAF063hOB5aQwLik8fA63XCR00bCSFhigoiQvqYX/4qGut2ZMHl9CM3pwBrPqgL6v6uk+XwNdigGsi+q73NUgG1JgpqbXSw6RJCSLeggoiQPigpRcD6rwdh0a3ReOz+Miy+6jjs9va7S4t+P5zHTsNxuBi6i4eBk7MfcVeqjPC4bbSOiBAStmgNESE9HK8Ywhw7NPlQwOV/rAZ+v/QQZsyYgSkjT2Dr1q0YN24cAGBEylIAgNfpge20GbWHKxFlUCJ2USqUxnoA585YK43MbPdxRTECXpsCVpih1rHNEgXTW0gM0Vc7wcpewNk97PnKBPatTdw+tn5M1a7QrM3y+CwhGTdUPYt6iv76q5Bo7LqfmaHRBuDzLhuvL6KCiJA+bvjw4aisrMTcuXMxYcIEPPDAA+jXrx9OHD0CESK8dg+0iQbEjU+FLsnYqcfgOA4qYyzc9nqo9XTYjBASfqggIoSA53msW7cOixcvxtNPP4333nsPidP6geMAhU4JXsHeNbotCpUezoaSLsiWEEK6Hq0hIoQ0e+edd5CZmYlPP/0UqkgNlBGaLimGAECpi4Sr0QxRZD9cRAgh3YUKIkJIgH79+uH48eNdPi4vV0AmF+B1O7p8bEIIuVBUEBFCAmRlZaGioiIkYytUOnictL8ZIST8UEFECAkwaNAgNDQ0hGRsmUINn4eaMxJCwg8VRISQAIIghKxfkFzQwOOyhWRsQgi5EFQQEUIC8DwfsoJIpYuG01pDDRoJIWGHTrsnhASQyZrOKotTsa/1KYxja0oYYVZBJsrhM5uhVLff08hlCM3bkxjESXPqWvYz4lxG9oFtGiVzrEXpYYpLT6hlHtMtsr+2XjGINV8+9tBgGj7KOfYmjnohsFGpU2kHsJX5/qTvohkiQkgArVYLny+IT7YgqTQRcDtDs0aJEEI6iwoiQkiAnJwcuFwu+P2h6Rckk6vg87pCMjYhhHQWFUSEkACpqangOA71J0Izi8PzMvh8bIeBCCGku1BBRAhpQaPRoOpQTUjGVmmj4bCehZv6ERFCwggVRISQFqKiolBTWBeSsRWCBpHxg3G2dB+c9tA8BiGEBIvOMiOEtJCcnIxTp7p++46faPRx4Hk5asoPQ2dMhDG6PziOvp+RvsNg+D1MpuQuG89mKwXweZeN1xfROxAhpIUBAwbAVtkY0sdQaaOQkD4ebqcFNeWHadNXQoikqCAihLQwcuRIOOpDv8WGTC4gJmkkRL+vqSjyh+50f0IIaQ8dMiOEtDBnzhz8/ve/R4ynAhqD0GH8hkS2ztO6sta+g/Ew6UahruQwys/ugylpCAS1Iah8uSA6X3M+9li5nb1AUzSyN2YUGti/izojO379AcATRMfJs172Rocmvpw5VqdIZI7VC4OYY1Uy9kNLnJiIqioLKirMKC+vR2FRaE4OIL0PFUSEkBYGDBgApVaG3e+fQe5tmSF/PI6XITJ1BOz15ag5uQ/6mAyo0vqF/HFJz+bz+VFd3YiKCisqKqyorLTC0iAgKkqPxAQTUtOikZ4Rh/c/OCx1qqQHoIKIENKqtFEROLy+olsKIgDgOA7ayCQodZGoKvwafHQkBK2pWx6bhD+/X0RtrR2VlVaUl1tQWWlDdXUjTCYVEhL0SEjQY+TIBCQnDoZcfm62rLycuqITNlQQEUJaNe7aFLx394Fuf1xXYx14uQCZoO72xybhQRRF1Ne7UFVpR2WlHbVV1aiqskGvVyI+Xo/4eB2GDIlDXJwOghB4qPD8YoiQYFBBRAhp1aCpsfD7RNgtbqZ1RF3B1ViPhopCxPTLARTsG6CSnksURVgsblRW2psKoAo7qqrsEAQZEhI0iIvXYPCkdMTF6aBWK6ROl/RiVBARQlrF8zw4HjhbZEP66MiQP57P40LdmYOITM6GQqUDbe7R+7jdfpjrvaiv88DZUI6qKgeqKu3gOCAuXoP4BA3G5MQiPl4DjfZc8aOSRUiYNekrqCAihLRJF6XErvdPh7wgEkU/6koOQROZDJUhJqSPRbqfx+PHmg/Oor7OA1OEAhGRciTFchg2IgqXzkqBTqcAx3FSp0n6OCqICCFtmnJrBta/WBjyx7GePQmAgyGWzizrjY4XOaDW8Lh2UTJ4vqnw0QsJEmfVtzU2NmLFihVYv349LBYLMjMzcfvttyM3N1fq1CRDBREhpFVJinrMmq/B58/4kSCrBc+33TtHjHYzjcn5Wl8DIno84PwA5xXx0w4enJ+9X5AoC2Z2gX1ct559ga4/iHdTmSOIWAVbLySfGJo+uy72lwu6Nq7PP9yI4aN0zcVQsGS8sdOxPE8d0FuzbNky5Ofn47777kNycjI+/vhjLFu2DKtXr8aUKVOkTk8SVBARQtpkiGpaTG2r9zb/OxSMcQNRV3YYNWcOICp1JHiezhTqLerrPKir9SCjP501GC62b9+OXbt2YeXKlZg5cyYA4OKLL0ZJSQmeeeaZPlsQ0dYdhJAO+byhHZ/jeUQmDwPH8bDVnArtg5FulX+kEYOGaCELahaPhNKmTZug1+sDDo9xHIcFCxbgxIkTKC4uljA76VBBRAjpkBjE1hidxXE8NKYEuJ3WkD8W6R4+n4gfjjZiyDCt1KmQ8xQVFSEzM7PFYfCsrCwAQGFh6NcNhqMOD5mVlZV1Rx6EkDBjrmpauyKXy2Gp8YPn2lnLYmYrYnyu9vvIuKxVkHEcfC4r/EHMKASxjRd8QSyKEb3ssX4H+/dLMZjFCvVsC47sZ13sQzayr6vRBJGr92frnU6fcoCXyeFx86iqCLzNJrBvHqyRsxfJCnl9wOWqqvDsVF1ZWRmS8Vob12AwwGA4tz+g2WxGenp6izij0dh8e1/U5q/6Ty/e4sWLuy0ZQkj46devH/71gANA2x/MAtYwjcX60dRQs4cxMowcC82wsi/Z4rYFMWYwsUAwa8fqW7lOho/eb+3674IYN5jYloxGI3S6tpZ8dy+dTgej0Ygbbrihy8dWKpWtjrts2TLccccdAde11+agr7ZAaLcg+vbbb2GxWLozH0IIIaRL6XQ6mEwmqdMAAJhMJmzcuBE2m63LxxZFsdVi5vzZoZ9yaG0WqKGh6SvLTzNFfU27k6E/n2YjhBBCyIUxmUySFmiZmZnYuHEj/H5/wDqin9YODRw4UKrUJEWLqgkhhJA+ZObMmbBYLMjLywu4/pNPPkFGRgYyMzMlykxa1IeIEEII6UOmTJmCcePGYfny5TCbzUhOTsYnn3yCffv2YdWqVVKnJxlO7I7zaQkhhBASNmw2G1588UVs2LAhYOuOGTNmSJ2aZKggIoQQQkifR2uICCGEENLnUUFECCGEkD6PCiJCCCGE9HlUEBFCCCGkz6OCiBBCCCF9HhVEhBBCCOnzqCAihBBCSJ9HBREhhBBC+jwqiAghhBDS5/0/5WtnnmQcYZAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#NOT IN PAPER\n",
    "viridis_trans = fp.cmap_trans('viridis')# makes tranparent at lower end\n",
    "viridis_trans_r = fp.cmap_trans('viridis_r')\n",
    "\n",
    "dep_data_lat, dep_data_lon, dep_data_site =dep_data.lat, dep_data.lon, dep_data['loc']\n",
    "dep_data_alt = dep_data['Altitude (m a.s.l.)']\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([-85, -60, -20, 5])\n",
    "\n",
    "\n",
    "met_dt['geo_height'].plot(ax=ax, vmin=0, vmax=6500,cmap=viridis_trans_r,add_colorbar=False)\n",
    "\n",
    "bounds =  np.linspace(0, 6500, 29)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(dep_data_lon, dep_data_lat,c=dep_data_alt, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm,s=200,\n",
    "           cmap=viridis_trans_r, edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "plt.text(-70, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='left',va='bottom',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "\n",
    "cbar = plt.colorbar(label='Altitude (m)',fraction=0.038, pad=0.04 )\n",
    "cbar.set_ticks([0,2000,4000,6500])\n",
    "cbar.set_ticklabels([0,200,4000,6500])\n",
    "\n",
    "plt.title('GEOS-Chem vs. observation altitude (m)', y=1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Huascaran elevation: [3891.9417]\n",
      "Quelccaya elevation: [4411.955]\n"
     ]
    }
   ],
   "source": [
    "print(\"Huascaran elevation: \"+ str(met_dt['geo_height'].sel(lat=-9, lon= -77.5).values)) #huascaran\n",
    "print('Quelccaya elevation: '+ str(met_dt['geo_height'].sel(lat=-14, lon= -70.625).values ))#quelccaya"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/977223234.py:5: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  huas_2016=huas_2016.append([huas_2016.loc[1]]*1,ignore_index=True)\n",
      "/tmp/ipykernel_32626/977223234.py:7: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  dep_2016=huas_2016.append([dep_data.loc[0]],ignore_index=True)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Altitude (m a.s.l.)</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.14444</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_15/16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5670</td>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.850000</td>\n",
       "      <td>2.980000</td>\n",
       "      <td>3.020000</td>\n",
       "      <td>-13.9</td>\n",
       "      <td>-70.8</td>\n",
       "      <td>Quelccaya Summit_15/16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Altitude (m a.s.l.)        Snow pit date Thermal Year  \\\n",
       "1                6768                  N/A    2015-2016   \n",
       "2                5670  2016-07-04 00:00:00    2015-2016   \n",
       "\n",
       "  Annual thickness (mwe)    n Snow accumulation (mwe)  \\\n",
       "1                1.14444   20                     N/A   \n",
       "2                    N/A  N/A                    0.37   \n",
       "\n",
       "   Average BC concentration (ng.g-1)  BC Conc. Stdv ± (ng.g-1)  \\\n",
       "1                           5.172117                  6.743365   \n",
       "2                           4.850000                  2.980000   \n",
       "\n",
       "   BC flux (mg.m-2.yr-1)   lat   lon                     loc  \n",
       "1               5.099515  -9.1 -77.6         Huascaran_15/16  \n",
       "2               3.020000 -13.9 -70.8  Quelccaya Summit_15/16  "
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###creating a dataframe & editing to be same formatting at snowpit dataframe\n",
    "huas_2016=huas_dep_data.copy()\n",
    "huas_2016=huas_2016.drop([0,2,3,4])\n",
    "#huas_2016\n",
    "huas_2016=huas_2016.append([huas_2016.loc[1]]*1,ignore_index=True)\n",
    "##making datframe with the 2016 locations only\n",
    "dep_2016=huas_2016.append([dep_data.loc[0]],ignore_index=True)\n",
    "dep_2016=dep_2016.loc[1:2]\n",
    "dep_2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/685595224.py:2: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  dep_2014_9=huas_2014_9.append([dep_data.loc[0:1]],ignore_index=True)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Altitude (m a.s.l.)</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2014-2015</td>\n",
       "      <td>1.567773</td>\n",
       "      <td>33</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.517304</td>\n",
       "      <td>5.502673</td>\n",
       "      <td>5.651505</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_14/15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.14444</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_15/16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2016-2017</td>\n",
       "      <td>1.598363</td>\n",
       "      <td>28</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.69307</td>\n",
       "      <td>4.184044</td>\n",
       "      <td>4.431032</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_16/17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>2.187704</td>\n",
       "      <td>45</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.627503</td>\n",
       "      <td>5.647757</td>\n",
       "      <td>5.659169</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_17/18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6768</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>2.697947</td>\n",
       "      <td>40</td>\n",
       "      <td>N/A</td>\n",
       "      <td>3.640879</td>\n",
       "      <td>2.585271</td>\n",
       "      <td>3.519208</td>\n",
       "      <td>-9.1</td>\n",
       "      <td>-77.6</td>\n",
       "      <td>Huascaran_18/19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5670</td>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.85</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.02</td>\n",
       "      <td>-13.9</td>\n",
       "      <td>-70.8</td>\n",
       "      <td>Quelccaya Summit_15/16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5670</td>\n",
       "      <td>2018-08-29 00:00:00</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.32</td>\n",
       "      <td>-13.9</td>\n",
       "      <td>-70.8</td>\n",
       "      <td>Quelccaya Summit_17/18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Altitude (m a.s.l.)        Snow pit date Thermal Year  \\\n",
       "0                6768                  N/A    2014-2015   \n",
       "1                6768                  N/A    2015-2016   \n",
       "2                6768                  N/A    2016-2017   \n",
       "3                6768                  N/A    2017-2018   \n",
       "4                6768                  N/A    2018-2019   \n",
       "5                5670  2016-07-04 00:00:00    2015-2016   \n",
       "6                5670  2018-08-29 00:00:00    2017-2018   \n",
       "\n",
       "  Annual thickness (mwe)    n Snow accumulation (mwe)  \\\n",
       "0               1.567773   33                     N/A   \n",
       "1                1.14444   20                     N/A   \n",
       "2               1.598363   28                     N/A   \n",
       "3               2.187704   45                     N/A   \n",
       "4               2.697947   40                     N/A   \n",
       "5                    N/A  N/A                    0.37   \n",
       "6                    N/A  N/A                    0.86   \n",
       "\n",
       "  Average BC concentration (ng.g-1) BC Conc. Stdv ± (ng.g-1)  \\\n",
       "0                          4.517304                 5.502673   \n",
       "1                          5.172117                 6.743365   \n",
       "2                           4.69307                 4.184044   \n",
       "3                          5.627503                 5.647757   \n",
       "4                          3.640879                 2.585271   \n",
       "5                              4.85                     2.98   \n",
       "6                              1.51                     2.05   \n",
       "\n",
       "  BC flux (mg.m-2.yr-1)   lat   lon                     loc  \n",
       "0              5.651505  -9.1 -77.6         Huascaran_14/15  \n",
       "1              5.099515  -9.1 -77.6         Huascaran_15/16  \n",
       "2              4.431032  -9.1 -77.6         Huascaran_16/17  \n",
       "3              5.659169  -9.1 -77.6         Huascaran_17/18  \n",
       "4              3.519208  -9.1 -77.6         Huascaran_18/19  \n",
       "5                  3.02 -13.9 -70.8  Quelccaya Summit_15/16  \n",
       "6                  1.32 -13.9 -70.8  Quelccaya Summit_17/18  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##making datframe with the 2015-2019 locations only\n",
    "dep_2014_9=huas_2014_9.append([dep_data.loc[0:1]],ignore_index=True)\n",
    "\n",
    "dep_2014_9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.872085690930392"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bc_huas_avg= dep_2014_9['BC flux (mg.m-2.yr-1)'][0:5].mean()\n",
    "bc_que_avg=dep_2014_9['BC flux (mg.m-2.yr-1)'][5:7].mean()\n",
    "bc_huas_avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.17"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bc_que_avg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Observations with estimated fluxes for Peru"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### NOT IN PAPER\n",
    "# coordinates\n",
    "#Quelccaya= 13.9 S, 70.8 W\n",
    "#huascaran  = 9.1 S, 77.6 W\n",
    "dep_2016_lat, dep_2016_lon, dep_2016_site = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_2016_BCflux = dep_2016['BC flux (mg.m-2.yr-1)']\n",
    "\n",
    "fig = plt.figure(figsize=(8, 12))\n",
    "#import matplotlib as matplotlib\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "#ax.stock_img()\n",
    "ax.add_feature(cartopy.feature.LAND, color='0.98')\n",
    "ax.add_feature(cartopy.feature.OCEAN, alpha=0.5)\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-85, -60, -20, 5])\n",
    "\n",
    "huas_dep_min= huas_dep_data['BC flux (mg.m-2.yr-1)'].min()\n",
    "huas_dep_max=huas_dep_data['BC flux (mg.m-2.yr-1)'].max()\n",
    "\n",
    "bounds =  np.linspace(0, int(huas_dep_max),9)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(dep_2016_lon, dep_2016_lat,c=dep_2016_BCflux, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm,s=300,\n",
    "           cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "\n",
    "    \n",
    "ax.coastlines(resolution='10m');\n",
    "\n",
    "#fig.savefig('aeronet_loc.png', bbox_inches='tight')\n",
    "cb = plt.colorbar(label='BC flux (mg/m² yr)',fraction=0.038, pad=0.04 )\n",
    "\n",
    "plt.title(\"BC flux for 2015-16 (ice-core + snowpit)\", fontsize=20, y=1.05)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC flux total wet+dry deposition 2015-2016. (GFED4s-Only)')"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lat_16, lon_16, site_16 = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_BCflux_16 = dep_2016['BC flux (mg.m-2.yr-1)']\n",
    "\n",
    "#import format_plots as fp\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "\n",
    "(Dep_therm_15_16['BC_flux']-Dep_therm_15_16_noGFED['BC_flux']).plot(ax=ax, cmap='BuPu', vmin=0, vmax=100,add_colorbar=False)\n",
    "\n",
    "\n",
    "bounds =  np.linspace(0, 120, 25)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(lon_16, lat_16,c=dep_BCflux_16, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm,s=200,\n",
    "           cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "#add coastlines\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "\n",
    "cbar = plt.colorbar(label='BC flux (mg/m² yr)',fraction=0.038, pad=0.04 )\n",
    "cbar.set_ticks([0,30,60,90,120])\n",
    "cbar.set_ticklabels([0,30,60,90,120])\n",
    "\n",
    "plt.title('BC flux total wet+dry deposition 2015-2016. (GFED4s-Only)', y=1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC flux from dry+ wet Deposition 7/15-7/16. (Total)')"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#NOT IN PAPER\n",
    "lat_16, lon_16, site_16 = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_BCflux_16 = dep_2016['BC flux (mg.m-2.yr-1)']\n",
    "\n",
    "#import format_plots as fp\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "(Dep_therm_15_16['BC_flux']).plot(ax=ax, cmap='BuPu', vmin=0, vmax=100,add_colorbar=False)\n",
    "\n",
    "bounds =  np.linspace(0, 120, 25)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(lon_16, lat_16,c=dep_BCflux_16, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm, s=200,\n",
    "           cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "\n",
    "cbar = plt.colorbar(label='BC flux (mg/m² yr)',fraction=0.038, pad=0.04 )\n",
    "cbar.set_ticks([0,30,60,90,120])\n",
    "cbar.set_ticklabels([0,30,60,90,120])\n",
    "\n",
    "plt.title('BC flux from dry+ wet Deposition 7/15-7/16. (Total)', y =1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#NOT IN PAPER\n",
    "# coordinates\n",
    "#Quelccaya= 13.9 S, 70.8 W\n",
    "#huascaran  = 9.1 S, 77.6 W\n",
    "dep_2016_lat, dep_2016_lon, dep_2016_site = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_2014_19avg = [bc_huas_avg, bc_que_avg]\n",
    "\n",
    "fig = plt.figure(figsize=(8, 12))\n",
    "#import matplotlib as matplotlib\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "#ax.stock_img()\n",
    "ax.add_feature(cartopy.feature.LAND, color='0.98')\n",
    "ax.add_feature(cartopy.feature.OCEAN, alpha=0.5)\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-85, -60, -20, 5])\n",
    "\n",
    "huas_dep_min= huas_dep_data['BC flux (mg.m-2.yr-1)'].min()\n",
    "huas_dep_max=huas_dep_data['BC flux (mg.m-2.yr-1)'].max()\n",
    "\n",
    "bounds =  np.linspace(0, int(huas_dep_max), 9)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(dep_2016_lon, dep_2016_lat,c=dep_2014_19avg, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm,s=300,\n",
    "           cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "    \n",
    "ax.coastlines(resolution='10m');\n",
    "\n",
    "#fig.savefig('aeronet_loc.png', bbox_inches='tight')\n",
    "cb = plt.colorbar(label='BC flux (mg/m² yr)',fraction=0.038, pad=0.04 )\n",
    "plt.title(\"BC flux averages for 2014-2019 (ice-core + snowpit).\", fontsize=20, y=1.05)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'Annual mean BC flux from fires for 2014-2019. (GFED4s-Only)')"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#NOT IN PAPER\n",
    "#lat_16, lon_16, site_16 = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_2014_19avg = [bc_huas_avg, bc_que_avg]\n",
    "\n",
    "#import format_plots as fp\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "#(Dep_therm_15_16['BC_flux']-Dep_therm_15_16_noGFED['BC_flux']).plot(ax=ax, cmap='BuPu', vmin=0, vmax=100,add_colorbar=False)\n",
    "(BCDST_flux2014_19y_avg['BC_flux']-BCDST_flux2014_19y_avg_noGFED['BC_flux']).plot(ax=ax, cmap='BuPu', vmin=0, vmax=100,add_colorbar=False)\n",
    "\n",
    "\n",
    "bounds =  np.linspace(0, 100, 25)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(lon_16, lat_16,c=dep_2014_19avg, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm, s=200,\n",
    "           cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "\n",
    "cbar = plt.colorbar(label='BC flux (mg/m² yr)',fraction=0.038, pad=0.04 )\n",
    "cbar.set_ticks([0,25,50,75,100])\n",
    "cbar.set_ticklabels([0,25,50,75,100])\n",
    "\n",
    "plt.title('Annual mean BC flux from fires for 2014-2019. (GFED4s-Only)', y=1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#NOT IN PAPER\n",
    "#lat_16, lon_16, site_16 = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_2014_19avg = [bc_huas_avg, bc_que_avg]\n",
    "\n",
    "#import format_plots as fp\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "(BCDST_flux2014_19y_avg['BC_flux']).plot(ax=ax, cmap='BuPu', vmin=0, vmax=200,add_colorbar=False)\n",
    "\n",
    "bounds =  np.linspace(0, 200, 25)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(lon_16, lat_16,c=dep_2014_19avg , transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm, s=200,\n",
    "           cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "\n",
    "cbar = plt.colorbar(label='BC flux (mg/m² yr)',fraction=0.038, pad=0.04 )\n",
    "cbar.set_ticks([0,50,100,150,200])\n",
    "cbar.set_ticklabels([0,50,100,150,200])\n",
    "\n",
    "plt.title('Annual mean BC flux 2014-2019. (Total)', y=1.05, fontsize=20);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GC results w/ observations without taking precip differences into account"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/2464359555.py:23: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  dep_table=dep_table.append(dep_2016)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux [FF]</th>\n",
       "      <th>GC BC Flux [GFED4]</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loc</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Huascaran_15/16</th>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.14444</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>30.372728</td>\n",
       "      <td>20.868343</td>\n",
       "      <td>9.504385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quelccaya Summit_15/16</th>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.850000</td>\n",
       "      <td>2.980000</td>\n",
       "      <td>3.020000</td>\n",
       "      <td>52.806366</td>\n",
       "      <td>29.755522</td>\n",
       "      <td>23.050844</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Snow pit date Thermal Year  \\\n",
       "loc                                                        \n",
       "Huascaran_15/16                         N/A    2015-2016   \n",
       "Quelccaya Summit_15/16  2016-07-04 00:00:00    2015-2016   \n",
       "\n",
       "                       Annual thickness (mwe)    n Snow accumulation (mwe)  \\\n",
       "loc                                                                          \n",
       "Huascaran_15/16                       1.14444   20                     N/A   \n",
       "Quelccaya Summit_15/16                    N/A  N/A                    0.37   \n",
       "\n",
       "                        Average BC concentration (ng.g-1)  \\\n",
       "loc                                                         \n",
       "Huascaran_15/16                                  5.172117   \n",
       "Quelccaya Summit_15/16                           4.850000   \n",
       "\n",
       "                        BC Conc. Stdv ± (ng.g-1)  BC flux (mg.m-2.yr-1)  \\\n",
       "loc                                                                       \n",
       "Huascaran_15/16                         6.743365               5.099515   \n",
       "Quelccaya Summit_15/16                  2.980000               3.020000   \n",
       "\n",
       "                       GC BC Flux (mg.m-2.yr-1) GC BC Flux [FF]  \\\n",
       "loc                                                               \n",
       "Huascaran_15/16                       30.372728       20.868343   \n",
       "Quelccaya Summit_15/16                52.806366       29.755522   \n",
       "\n",
       "                       GC BC Flux [GFED4]  \n",
       "loc                                        \n",
       "Huascaran_15/16                  9.504385  \n",
       "Quelccaya Summit_15/16          23.050844  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep_2016['GC BC Flux (mg.m-2.yr-1)']=[(Dep_therm_15_16['BC_flux']).sel(lat=-9, lon= -77.5).values,Dep_therm_15_16['BC_flux'].sel(lat=-14, lon= -70.625).values]\n",
    "#remove dep_data Geos column from dataframe\n",
    "col_name=\"GC BC Flux (mg.m-2.yr-1)\"\n",
    "seventh_col = dep_2016.pop(col_name)\n",
    "#adding column to 7th position\n",
    "dep_2016.insert(9, col_name, seventh_col)\n",
    "\n",
    "dep_2016['GC BC Flux [FF]']=[(Dep_therm_15_16_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,Dep_therm_15_16_noGFED['BC_flux'].sel(lat=-14, lon= -70.625).values]\n",
    "#remove dep_data Geos column from dataframe\n",
    "col_name=\"GC BC Flux [FF]\"\n",
    "tenth_col = dep_2016.pop(col_name)\n",
    "#adding column to 7th position\n",
    "dep_2016.insert(10, col_name, tenth_col)\n",
    "\n",
    "dep_2016['GC BC Flux [GFED4]']=[(Dep_therm_15_16['BC_flux']-Dep_therm_15_16_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,(Dep_therm_15_16['BC_flux']-Dep_therm_15_16_noGFED['BC_flux']).sel(lat=-14, lon= -70.625).values]\n",
    "#remove dep_data Geos column from dataframe\n",
    "col_name=\"GC BC Flux [GFED4]\"\n",
    "eleventh_col = dep_2016.pop(col_name)\n",
    "#adding column to 7th position\n",
    "dep_2016.insert(11, col_name, eleventh_col)\n",
    "\n",
    "dep_table=pd.DataFrame()\n",
    "dep_table=dep_table.append(dep_2016)\n",
    "#deleting unnecessary columns for figure\n",
    "del dep_table['lat']\n",
    "del dep_table['lon']\n",
    "del dep_table['Altitude (m a.s.l.)']\n",
    "dep_table=dep_table.set_index(\"loc\")\n",
    "dep_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/760782190.py:42: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  dep_table14_9=dep_table14_9.append(dep_2014_9)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>loc</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux [FF]</th>\n",
       "      <th>GC BC Flux [GFED4]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran_14/15</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2014-2015</td>\n",
       "      <td>1.567773</td>\n",
       "      <td>33</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.517304</td>\n",
       "      <td>5.502673</td>\n",
       "      <td>5.651505</td>\n",
       "      <td>25.827883</td>\n",
       "      <td>21.62375</td>\n",
       "      <td>4.9595394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Huascaran_15/16</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.14444</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>30.372728</td>\n",
       "      <td>20.868343</td>\n",
       "      <td>9.504385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Huascaran_16/17</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2016-2017</td>\n",
       "      <td>1.598363</td>\n",
       "      <td>28</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.69307</td>\n",
       "      <td>4.184044</td>\n",
       "      <td>4.431032</td>\n",
       "      <td>32.87784</td>\n",
       "      <td>23.962778</td>\n",
       "      <td>8.91506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Huascaran_17/18</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>2.187704</td>\n",
       "      <td>45</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.627503</td>\n",
       "      <td>5.647757</td>\n",
       "      <td>5.659169</td>\n",
       "      <td>30.562918</td>\n",
       "      <td>23.457605</td>\n",
       "      <td>7.1053123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Huascaran_18/19</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>2.697947</td>\n",
       "      <td>40</td>\n",
       "      <td>N/A</td>\n",
       "      <td>3.640879</td>\n",
       "      <td>2.585271</td>\n",
       "      <td>3.519208</td>\n",
       "      <td>25.551554</td>\n",
       "      <td>21.74455</td>\n",
       "      <td>3.807003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Quelccaya Summit_15/16</td>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.85</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.02</td>\n",
       "      <td>52.806366</td>\n",
       "      <td>29.755522</td>\n",
       "      <td>23.050844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Quelccaya Summit_17/18</td>\n",
       "      <td>2018-08-29 00:00:00</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.32</td>\n",
       "      <td>63.182507</td>\n",
       "      <td>29.433075</td>\n",
       "      <td>33.74943</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      loc        Snow pit date Thermal Year  \\\n",
       "0         Huascaran_14/15                  N/A    2014-2015   \n",
       "1         Huascaran_15/16                  N/A    2015-2016   \n",
       "2         Huascaran_16/17                  N/A    2016-2017   \n",
       "3         Huascaran_17/18                  N/A    2017-2018   \n",
       "4         Huascaran_18/19                  N/A    2018-2019   \n",
       "5  Quelccaya Summit_15/16  2016-07-04 00:00:00    2015-2016   \n",
       "6  Quelccaya Summit_17/18  2018-08-29 00:00:00    2017-2018   \n",
       "\n",
       "  Annual thickness (mwe)    n Snow accumulation (mwe)  \\\n",
       "0               1.567773   33                     N/A   \n",
       "1                1.14444   20                     N/A   \n",
       "2               1.598363   28                     N/A   \n",
       "3               2.187704   45                     N/A   \n",
       "4               2.697947   40                     N/A   \n",
       "5                    N/A  N/A                    0.37   \n",
       "6                    N/A  N/A                    0.86   \n",
       "\n",
       "  Average BC concentration (ng.g-1) BC Conc. Stdv ± (ng.g-1)  \\\n",
       "0                          4.517304                 5.502673   \n",
       "1                          5.172117                 6.743365   \n",
       "2                           4.69307                 4.184044   \n",
       "3                          5.627503                 5.647757   \n",
       "4                          3.640879                 2.585271   \n",
       "5                              4.85                     2.98   \n",
       "6                              1.51                     2.05   \n",
       "\n",
       "  BC flux (mg.m-2.yr-1) GC BC Flux (mg.m-2.yr-1) GC BC Flux [FF]  \\\n",
       "0              5.651505                25.827883        21.62375   \n",
       "1              5.099515                30.372728       20.868343   \n",
       "2              4.431032                 32.87784       23.962778   \n",
       "3              5.659169                30.562918       23.457605   \n",
       "4              3.519208                25.551554        21.74455   \n",
       "5                  3.02                52.806366       29.755522   \n",
       "6                  1.32                63.182507       29.433075   \n",
       "\n",
       "  GC BC Flux [GFED4]  \n",
       "0          4.9595394  \n",
       "1           9.504385  \n",
       "2            8.91506  \n",
       "3          7.1053123  \n",
       "4           3.807003  \n",
       "5          23.050844  \n",
       "6           33.74943  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep_2014_9['GC BC Flux (mg.m-2.yr-1)']=[(Dep_therm_14_15['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_16_17['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_17_18['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_18_19['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['BC_flux']).sel(lat=-14, lon= -70.625).values,\n",
    "                                        (Dep_therm_17_18['BC_flux']).sel(lat=-14, lon= -70.625).values]\n",
    "#remove dep_data Geos column from dataframe\n",
    "col_name=\"GC BC Flux (mg.m-2.yr-1)\"\n",
    "seventh_col = dep_2014_9.pop(col_name)\n",
    "#adding column to \n",
    "dep_2014_9.insert(9, col_name, seventh_col)\n",
    "\n",
    "dep_2014_9['GC BC Flux [FF]']=[(Dep_therm_14_15_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_15_16_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_16_17_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_17_18_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_18_19_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    Dep_therm_15_16_noGFED['BC_flux'].sel(lat=-14, lon= -70.625).values,\n",
    "                                   Dep_therm_17_18_noGFED['BC_flux'].sel(lat=-14, lon= -70.625).values]\n",
    "#remove dep_data Geos column from dataframe\n",
    "col_name=\"GC BC Flux [FF]\"\n",
    "tenth_col = dep_2014_9.pop(col_name)\n",
    "#adding column \n",
    "dep_2014_9.insert(10, col_name, tenth_col)\n",
    "\n",
    "dep_2014_9['GC BC Flux [GFED4]']=[(Dep_therm_14_15['BC_flux']-Dep_therm_15_16_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                  (Dep_therm_15_16['BC_flux']-Dep_therm_15_16_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                  (Dep_therm_16_17['BC_flux']-Dep_therm_16_17_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                  (Dep_therm_17_18['BC_flux']-Dep_therm_17_18_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                  (Dep_therm_18_19['BC_flux']-Dep_therm_18_19_noGFED['BC_flux']).sel(lat=-9, lon= -77.5).values,\n",
    "                                  (Dep_therm_15_16['BC_flux']-Dep_therm_15_16_noGFED['BC_flux']).sel(lat=-14, lon= -70.625).values,\n",
    "                                 (Dep_therm_17_18['BC_flux']-Dep_therm_17_18_noGFED['BC_flux']).sel(lat=-14, lon= -70.625).values]\n",
    "#remove dep_data Geos column from dataframe\n",
    "col_name=\"GC BC Flux [GFED4]\"\n",
    "eleventh_col = dep_2014_9.pop(col_name)\n",
    "#adding column \n",
    "dep_2014_9.insert(11, col_name, eleventh_col)\n",
    "\n",
    "\n",
    "dep_table14_9=pd.DataFrame()\n",
    "dep_table14_9=dep_table14_9.append(dep_2014_9)\n",
    "#deleting unnecessary columns for figure\n",
    "del dep_table14_9['lat']\n",
    "del dep_table14_9['lon']\n",
    "del dep_table14_9['Altitude (m a.s.l.)']\n",
    "dep_table14_9=dep_table14_9.set_index(\"loc\")\n",
    "dep_table14_9=dep_table14_9.reset_index()\n",
    "dep_table14_9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### adding normalization components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>loc</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux [FF]</th>\n",
       "      <th>GC BC Flux [GFED4]</th>\n",
       "      <th>GC-precip (meters)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran_14/15</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2014-2015</td>\n",
       "      <td>1.567773</td>\n",
       "      <td>33</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.517304</td>\n",
       "      <td>5.502673</td>\n",
       "      <td>5.651505</td>\n",
       "      <td>25.827883</td>\n",
       "      <td>21.62375</td>\n",
       "      <td>4.9595394</td>\n",
       "      <td>5.520202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Huascaran_15/16</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.14444</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>30.372728</td>\n",
       "      <td>20.868343</td>\n",
       "      <td>9.504385</td>\n",
       "      <td>5.886655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Huascaran_16/17</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2016-2017</td>\n",
       "      <td>1.598363</td>\n",
       "      <td>28</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.69307</td>\n",
       "      <td>4.184044</td>\n",
       "      <td>4.431032</td>\n",
       "      <td>32.87784</td>\n",
       "      <td>23.962778</td>\n",
       "      <td>8.91506</td>\n",
       "      <td>5.698125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Huascaran_17/18</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>2.187704</td>\n",
       "      <td>45</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.627503</td>\n",
       "      <td>5.647757</td>\n",
       "      <td>5.659169</td>\n",
       "      <td>30.562918</td>\n",
       "      <td>23.457605</td>\n",
       "      <td>7.1053123</td>\n",
       "      <td>5.023031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Huascaran_18/19</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>2.697947</td>\n",
       "      <td>40</td>\n",
       "      <td>N/A</td>\n",
       "      <td>3.640879</td>\n",
       "      <td>2.585271</td>\n",
       "      <td>3.519208</td>\n",
       "      <td>25.551554</td>\n",
       "      <td>21.74455</td>\n",
       "      <td>3.807003</td>\n",
       "      <td>5.653023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Quelccaya Summit_15/16</td>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.85</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.02</td>\n",
       "      <td>52.806366</td>\n",
       "      <td>29.755522</td>\n",
       "      <td>23.050844</td>\n",
       "      <td>12.992325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Quelccaya Summit_17/18</td>\n",
       "      <td>2018-08-29 00:00:00</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.32</td>\n",
       "      <td>63.182507</td>\n",
       "      <td>29.433075</td>\n",
       "      <td>33.74943</td>\n",
       "      <td>11.412748</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      loc        Snow pit date Thermal Year  \\\n",
       "0         Huascaran_14/15                  N/A    2014-2015   \n",
       "1         Huascaran_15/16                  N/A    2015-2016   \n",
       "2         Huascaran_16/17                  N/A    2016-2017   \n",
       "3         Huascaran_17/18                  N/A    2017-2018   \n",
       "4         Huascaran_18/19                  N/A    2018-2019   \n",
       "5  Quelccaya Summit_15/16  2016-07-04 00:00:00    2015-2016   \n",
       "6  Quelccaya Summit_17/18  2018-08-29 00:00:00    2017-2018   \n",
       "\n",
       "  Annual thickness (mwe)    n Snow accumulation (mwe)  \\\n",
       "0               1.567773   33                     N/A   \n",
       "1                1.14444   20                     N/A   \n",
       "2               1.598363   28                     N/A   \n",
       "3               2.187704   45                     N/A   \n",
       "4               2.697947   40                     N/A   \n",
       "5                    N/A  N/A                    0.37   \n",
       "6                    N/A  N/A                    0.86   \n",
       "\n",
       "  Average BC concentration (ng.g-1) BC Conc. Stdv ± (ng.g-1)  \\\n",
       "0                          4.517304                 5.502673   \n",
       "1                          5.172117                 6.743365   \n",
       "2                           4.69307                 4.184044   \n",
       "3                          5.627503                 5.647757   \n",
       "4                          3.640879                 2.585271   \n",
       "5                              4.85                     2.98   \n",
       "6                              1.51                     2.05   \n",
       "\n",
       "  BC flux (mg.m-2.yr-1) GC BC Flux (mg.m-2.yr-1) GC BC Flux [FF]  \\\n",
       "0              5.651505                25.827883        21.62375   \n",
       "1              5.099515                30.372728       20.868343   \n",
       "2              4.431032                 32.87784       23.962778   \n",
       "3              5.659169                30.562918       23.457605   \n",
       "4              3.519208                25.551554        21.74455   \n",
       "5                  3.02                52.806366       29.755522   \n",
       "6                  1.32                63.182507       29.433075   \n",
       "\n",
       "  GC BC Flux [GFED4]  GC-precip (meters)  \n",
       "0          4.9595394            5.520202  \n",
       "1           9.504385            5.886655  \n",
       "2            8.91506            5.698125  \n",
       "3          7.1053123            5.023031  \n",
       "4           3.807003            5.653023  \n",
       "5          23.050844           12.992325  \n",
       "6           33.74943           11.412748  "
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep_table_norm = dep_table14_9\n",
    "dep_table_norm['GC-precip (meters)']=np.nan\n",
    "dep_table_norm.loc[0, ('GC-precip (meters)')]= (prectot_1415_therm['Met_PRECTOT'].sel(lat=-9, lon= -77.5).values/1000)\n",
    "dep_table_norm.loc[1, ('GC-precip (meters)')]= (prectot_1516_therm['Met_PRECTOT'].sel(lat=-9, lon= -77.5).values/1000)\n",
    "dep_table_norm.loc[2, ('GC-precip (meters)')]= (prectot_1617_therm['Met_PRECTOT'].sel(lat=-9, lon= -77.5).values/1000)\n",
    "dep_table_norm.loc[3, ('GC-precip (meters)')]= (prectot_1718_therm['Met_PRECTOT'].sel(lat=-9, lon= -77.5).values/1000)\n",
    "dep_table_norm.loc[4, ('GC-precip (meters)')]= (prectot_1819_therm['Met_PRECTOT'].sel(lat=-9, lon= -77.5).values/1000)\n",
    "dep_table_norm.loc[5, ('GC-precip (meters)')]=(prectot_1516_therm['Met_PRECTOT'].sel(lat=-14, lon= -70.625).values/1000)\n",
    "dep_table_norm.loc[6, ('GC-precip (meters)')]=(prectot_1718_therm['Met_PRECTOT'].sel(lat=-14, lon= -70.625).values/1000)\n",
    "dep_table_norm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "### filling out normalized table with the data for huascaran, quelcayya BC & DUST\n",
    "dep_table_norm.loc[0:5, ('Precip obs/GC ratio')]=dep_table14_9['Annual thickness (mwe)'][0:5]/dep_table_norm['GC-precip (meters)'][0:5]\n",
    "dep_table_norm.loc[5:7, ('Precip obs/GC ratio')]=dep_table14_9['Snow accumulation (mwe)'][5:7]/dep_table_norm['GC-precip (meters)'][5:7]\n",
    "dep_table_norm['GC BC DryDep']=[(Dep_therm_14_15['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_16_17['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_17_18['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_18_19['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['DryDep_BC']).sel(lat=-14, lon= -70.625).values,\n",
    "                                        (Dep_therm_17_18['DryDep_BC']).sel(lat=-14, lon= -70.625).values]\n",
    "dep_table_norm['GC BC WetDep']=[(Dep_therm_14_15['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_16_17['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_17_18['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_18_19['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['WetLossTotal_BC']).sel(lat=-14, lon= -70.625).values,\n",
    "                                        (Dep_therm_17_18['WetLossTotal_BC']).sel(lat=-14, lon= -70.625).values]\n",
    "dep_table_norm['GC BC DryDep [FF]']=[(Dep_therm_14_15_noGFED['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_15_16_noGFED['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_16_17_noGFED['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_17_18_noGFED['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_18_19_noGFED['DryDep_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    Dep_therm_15_16_noGFED['DryDep_BC'].sel(lat=-14, lon= -70.625).values,\n",
    "                                   Dep_therm_17_18_noGFED['DryDep_BC'].sel(lat=-14, lon= -70.625).values]\n",
    "dep_table_norm['GC BC WetDep [FF]']=[(Dep_therm_14_15_noGFED['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                         (Dep_therm_15_16_noGFED['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_16_17_noGFED['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_17_18_noGFED['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_18_19_noGFED['WetLossTotal_BC']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    Dep_therm_15_16_noGFED['WetLossTotal_BC'].sel(lat=-14, lon= -70.625).values,\n",
    "                                   Dep_therm_17_18_noGFED['WetLossTotal_BC'].sel(lat=-14, lon= -70.625).values]\n",
    "dep_table_norm.loc[0:7, ('GC BC DryDep [fires]')]= dep_table_norm['GC BC DryDep']-dep_table_norm['GC BC DryDep [FF]']\n",
    "dep_table_norm.loc[0:7, ('GC BC WetDep [fires]')]= dep_table_norm['GC BC WetDep']-dep_table_norm['GC BC WetDep [FF]']\n",
    "###DUST\n",
    "dep_table_norm['GC DST DryDep']=[(Dep_therm_14_15['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                 (Dep_therm_15_16['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_16_17['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_17_18['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_18_19['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['DryDep_DST']).sel(lat=-14, lon= -70.625).values,\n",
    "                                        (Dep_therm_17_18['DryDep_DST']).sel(lat=-14, lon= -70.625).values]\n",
    "dep_table_norm['GC DST WetDep']=[(Dep_therm_14_15['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                 (Dep_therm_15_16['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_16_17['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_17_18['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_18_19['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                        (Dep_therm_15_16['WetLossTotal_DST']).sel(lat=-14, lon= -70.625).values,\n",
    "                                        (Dep_therm_17_18['WetLossTotal_DST']).sel(lat=-14, lon= -70.625).values]\n",
    "dep_table_norm['GC DST DryDep [FF]']=[(Dep_therm_14_15_noGFED['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                          (Dep_therm_15_16_noGFED['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_16_17_noGFED['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_17_18_noGFED['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_18_19_noGFED['DryDep_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    Dep_therm_15_16_noGFED['DryDep_DST'].sel(lat=-14, lon= -70.625).values,\n",
    "                                   Dep_therm_17_18_noGFED['DryDep_DST'].sel(lat=-14, lon= -70.625).values]\n",
    "dep_table_norm['GC DST WetDep [FF]']=[(Dep_therm_14_15_noGFED['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                          (Dep_therm_15_16_noGFED['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_16_17_noGFED['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_17_18_noGFED['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    (Dep_therm_18_19_noGFED['WetLossTotal_DST']).sel(lat=-9, lon= -77.5).values,\n",
    "                                    Dep_therm_15_16_noGFED['WetLossTotal_DST'].sel(lat=-14, lon= -70.625).values,\n",
    "                                   Dep_therm_17_18_noGFED['WetLossTotal_DST'].sel(lat=-14, lon= -70.625).values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>loc</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux (mg.m-2.yr-1)</th>\n",
       "      <th>...</th>\n",
       "      <th>GC DST DryDep</th>\n",
       "      <th>GC DST WetDep</th>\n",
       "      <th>GC DST DryDep [FF]</th>\n",
       "      <th>GC DST WetDep [FF]</th>\n",
       "      <th>GC BC Norm_Flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Norm_Flux [FF]</th>\n",
       "      <th>GC BC Norm_Flux [GFED4]</th>\n",
       "      <th>GC DST Norm_Flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC DST Norm_Flux [FF]</th>\n",
       "      <th>GC BC_norm fire %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran_14/15</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2014-2015</td>\n",
       "      <td>1.567773</td>\n",
       "      <td>33</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.517304</td>\n",
       "      <td>5.502673</td>\n",
       "      <td>5.651505</td>\n",
       "      <td>25.827883</td>\n",
       "      <td>...</td>\n",
       "      <td>5.098427</td>\n",
       "      <td>130.2149</td>\n",
       "      <td>5.097639</td>\n",
       "      <td>130.20135</td>\n",
       "      <td>8.261855</td>\n",
       "      <td>6.949627</td>\n",
       "      <td>1.312228</td>\n",
       "      <td>42.0803</td>\n",
       "      <td>42.075664</td>\n",
       "      <td>0.15883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Huascaran_15/16</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.14444</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>30.372728</td>\n",
       "      <td>...</td>\n",
       "      <td>7.2974267</td>\n",
       "      <td>251.04256</td>\n",
       "      <td>7.1599503</td>\n",
       "      <td>245.08076</td>\n",
       "      <td>6.968512</td>\n",
       "      <td>4.900208</td>\n",
       "      <td>2.068304</td>\n",
       "      <td>56.103261</td>\n",
       "      <td>54.806737</td>\n",
       "      <td>0.296807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Huascaran_16/17</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2016-2017</td>\n",
       "      <td>1.598363</td>\n",
       "      <td>28</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.69307</td>\n",
       "      <td>4.184044</td>\n",
       "      <td>4.431032</td>\n",
       "      <td>32.87784</td>\n",
       "      <td>...</td>\n",
       "      <td>4.606831</td>\n",
       "      <td>105.420815</td>\n",
       "      <td>4.5489936</td>\n",
       "      <td>103.646095</td>\n",
       "      <td>10.310613</td>\n",
       "      <td>7.555579</td>\n",
       "      <td>2.755034</td>\n",
       "      <td>34.178084</td>\n",
       "      <td>33.622426</td>\n",
       "      <td>0.267204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Huascaran_17/18</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>2.187704</td>\n",
       "      <td>45</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.627503</td>\n",
       "      <td>5.647757</td>\n",
       "      <td>5.659169</td>\n",
       "      <td>30.562918</td>\n",
       "      <td>...</td>\n",
       "      <td>4.3555183</td>\n",
       "      <td>101.490776</td>\n",
       "      <td>4.355952</td>\n",
       "      <td>101.55502</td>\n",
       "      <td>14.076978</td>\n",
       "      <td>10.85874</td>\n",
       "      <td>3.218238</td>\n",
       "      <td>48.558266</td>\n",
       "      <td>48.586681</td>\n",
       "      <td>0.228617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Huascaran_18/19</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>2.697947</td>\n",
       "      <td>40</td>\n",
       "      <td>N/A</td>\n",
       "      <td>3.640879</td>\n",
       "      <td>2.585271</td>\n",
       "      <td>3.519208</td>\n",
       "      <td>25.551554</td>\n",
       "      <td>...</td>\n",
       "      <td>5.1977167</td>\n",
       "      <td>133.77252</td>\n",
       "      <td>5.1981525</td>\n",
       "      <td>133.76865</td>\n",
       "      <td>12.85704</td>\n",
       "      <td>10.965731</td>\n",
       "      <td>1.891309</td>\n",
       "      <td>69.041634</td>\n",
       "      <td>69.04022</td>\n",
       "      <td>0.147103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Quelccaya Summit_15/16</td>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.85</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.02</td>\n",
       "      <td>52.806366</td>\n",
       "      <td>...</td>\n",
       "      <td>14.685607</td>\n",
       "      <td>726.2292</td>\n",
       "      <td>14.519327</td>\n",
       "      <td>720.6103</td>\n",
       "      <td>2.687976</td>\n",
       "      <td>1.760347</td>\n",
       "      <td>0.927629</td>\n",
       "      <td>35.367417</td>\n",
       "      <td>35.04112</td>\n",
       "      <td>0.345103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Quelccaya Summit_17/18</td>\n",
       "      <td>2018-08-29 00:00:00</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.32</td>\n",
       "      <td>63.182507</td>\n",
       "      <td>...</td>\n",
       "      <td>12.564603</td>\n",
       "      <td>415.0957</td>\n",
       "      <td>12.576922</td>\n",
       "      <td>415.7098</td>\n",
       "      <td>5.968101</td>\n",
       "      <td>3.031409</td>\n",
       "      <td>2.936692</td>\n",
       "      <td>43.843862</td>\n",
       "      <td>43.902457</td>\n",
       "      <td>0.492065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      loc        Snow pit date Thermal Year  \\\n",
       "0         Huascaran_14/15                  N/A    2014-2015   \n",
       "1         Huascaran_15/16                  N/A    2015-2016   \n",
       "2         Huascaran_16/17                  N/A    2016-2017   \n",
       "3         Huascaran_17/18                  N/A    2017-2018   \n",
       "4         Huascaran_18/19                  N/A    2018-2019   \n",
       "5  Quelccaya Summit_15/16  2016-07-04 00:00:00    2015-2016   \n",
       "6  Quelccaya Summit_17/18  2018-08-29 00:00:00    2017-2018   \n",
       "\n",
       "  Annual thickness (mwe)    n Snow accumulation (mwe)  \\\n",
       "0               1.567773   33                     N/A   \n",
       "1                1.14444   20                     N/A   \n",
       "2               1.598363   28                     N/A   \n",
       "3               2.187704   45                     N/A   \n",
       "4               2.697947   40                     N/A   \n",
       "5                    N/A  N/A                    0.37   \n",
       "6                    N/A  N/A                    0.86   \n",
       "\n",
       "  Average BC concentration (ng.g-1) BC Conc. Stdv ± (ng.g-1)  \\\n",
       "0                          4.517304                 5.502673   \n",
       "1                          5.172117                 6.743365   \n",
       "2                           4.69307                 4.184044   \n",
       "3                          5.627503                 5.647757   \n",
       "4                          3.640879                 2.585271   \n",
       "5                              4.85                     2.98   \n",
       "6                              1.51                     2.05   \n",
       "\n",
       "  BC flux (mg.m-2.yr-1) GC BC Flux (mg.m-2.yr-1)  ... GC DST DryDep  \\\n",
       "0              5.651505                25.827883  ...      5.098427   \n",
       "1              5.099515                30.372728  ...     7.2974267   \n",
       "2              4.431032                 32.87784  ...      4.606831   \n",
       "3              5.659169                30.562918  ...     4.3555183   \n",
       "4              3.519208                25.551554  ...     5.1977167   \n",
       "5                  3.02                52.806366  ...     14.685607   \n",
       "6                  1.32                63.182507  ...     12.564603   \n",
       "\n",
       "  GC DST WetDep  GC DST DryDep [FF] GC DST WetDep [FF]  \\\n",
       "0      130.2149            5.097639          130.20135   \n",
       "1     251.04256           7.1599503          245.08076   \n",
       "2    105.420815           4.5489936         103.646095   \n",
       "3    101.490776            4.355952          101.55502   \n",
       "4     133.77252           5.1981525          133.76865   \n",
       "5      726.2292           14.519327           720.6103   \n",
       "6      415.0957           12.576922           415.7098   \n",
       "\n",
       "  GC BC Norm_Flux (mg.m-2.yr-1) GC BC Norm_Flux [FF] GC BC Norm_Flux [GFED4]  \\\n",
       "0                      8.261855             6.949627                1.312228   \n",
       "1                      6.968512             4.900208                2.068304   \n",
       "2                     10.310613             7.555579                2.755034   \n",
       "3                     14.076978             10.85874                3.218238   \n",
       "4                      12.85704            10.965731                1.891309   \n",
       "5                      2.687976             1.760347                0.927629   \n",
       "6                      5.968101             3.031409                2.936692   \n",
       "\n",
       "  GC DST Norm_Flux (mg.m-2.yr-1) GC DST Norm_Flux [FF] GC BC_norm fire %  \n",
       "0                        42.0803             42.075664           0.15883  \n",
       "1                      56.103261             54.806737          0.296807  \n",
       "2                      34.178084             33.622426          0.267204  \n",
       "3                      48.558266             48.586681          0.228617  \n",
       "4                      69.041634              69.04022          0.147103  \n",
       "5                      35.367417              35.04112          0.345103  \n",
       "6                      43.843862             43.902457          0.492065  \n",
       "\n",
       "[7 rows x 30 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep_table_norm['GC BC Norm_Flux (mg.m-2.yr-1)']=dep_table_norm['GC BC DryDep'] + (dep_table_norm[\"Precip obs/GC ratio\"]*dep_table_norm['GC BC WetDep'])\n",
    "dep_table_norm['GC BC Norm_Flux [FF]']=dep_table_norm['GC BC DryDep [FF]']+ (dep_table_norm[\"Precip obs/GC ratio\"]*dep_table_norm['GC BC WetDep [FF]'])\n",
    "dep_table_norm['GC BC Norm_Flux [GFED4]']=dep_table_norm['GC BC DryDep [fires]']+ (dep_table_norm[\"Precip obs/GC ratio\"]*dep_table_norm['GC BC WetDep [fires]'])\n",
    "dep_table_norm['GC DST Norm_Flux (mg.m-2.yr-1)']=dep_table_norm['GC DST DryDep'] + (dep_table_norm[\"Precip obs/GC ratio\"]*dep_table_norm['GC DST WetDep'])\n",
    "dep_table_norm['GC DST Norm_Flux [FF]']=dep_table_norm['GC DST DryDep [FF]']+ (dep_table_norm[\"Precip obs/GC ratio\"]*dep_table_norm['GC DST WetDep [FF]'])\n",
    "dep_table_norm['GC BC_norm fire %']=dep_table_norm['GC BC Norm_Flux [GFED4]']/dep_table_norm['GC BC Norm_Flux (mg.m-2.yr-1)']\n",
    "dep_table_norm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>loc</th>\n",
       "      <th>Snow pit date</th>\n",
       "      <th>Thermal Year</th>\n",
       "      <th>Annual thickness (mwe)</th>\n",
       "      <th>n</th>\n",
       "      <th>Snow accumulation (mwe)</th>\n",
       "      <th>Average BC concentration (ng.g-1)</th>\n",
       "      <th>BC Conc. Stdv ± (ng.g-1)</th>\n",
       "      <th>BC flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Flux (mg.m-2.yr-1)</th>\n",
       "      <th>...</th>\n",
       "      <th>GC DST WetDep [FF]</th>\n",
       "      <th>GC BC Norm_Flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC BC Norm_Flux [FF]</th>\n",
       "      <th>GC BC Norm_Flux [GFED4]</th>\n",
       "      <th>GC DST Norm_Flux (mg.m-2.yr-1)</th>\n",
       "      <th>GC DST Norm_Flux [FF]</th>\n",
       "      <th>GC BC_norm fire %</th>\n",
       "      <th>GC-BC total(ppb)</th>\n",
       "      <th>GC-BC BB(ppb)</th>\n",
       "      <th>GC-BC FF(ppb)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran_14/15</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2014-2015</td>\n",
       "      <td>1.567773</td>\n",
       "      <td>33</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.517304</td>\n",
       "      <td>5.502673</td>\n",
       "      <td>5.651505</td>\n",
       "      <td>25.827883</td>\n",
       "      <td>...</td>\n",
       "      <td>130.20135</td>\n",
       "      <td>8.261855</td>\n",
       "      <td>6.949627</td>\n",
       "      <td>1.312228</td>\n",
       "      <td>42.0803</td>\n",
       "      <td>42.075664</td>\n",
       "      <td>0.15883</td>\n",
       "      <td>5.285660</td>\n",
       "      <td>0.83952</td>\n",
       "      <td>4.44614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Huascaran_15/16</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>1.14444</td>\n",
       "      <td>20</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.172117</td>\n",
       "      <td>6.743365</td>\n",
       "      <td>5.099515</td>\n",
       "      <td>30.372728</td>\n",
       "      <td>...</td>\n",
       "      <td>245.08076</td>\n",
       "      <td>6.968512</td>\n",
       "      <td>4.900208</td>\n",
       "      <td>2.068304</td>\n",
       "      <td>56.103261</td>\n",
       "      <td>54.806737</td>\n",
       "      <td>0.296807</td>\n",
       "      <td>6.107338</td>\n",
       "      <td>1.812702</td>\n",
       "      <td>4.294636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Huascaran_16/17</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2016-2017</td>\n",
       "      <td>1.598363</td>\n",
       "      <td>28</td>\n",
       "      <td>N/A</td>\n",
       "      <td>4.69307</td>\n",
       "      <td>4.184044</td>\n",
       "      <td>4.431032</td>\n",
       "      <td>32.87784</td>\n",
       "      <td>...</td>\n",
       "      <td>103.646095</td>\n",
       "      <td>10.310613</td>\n",
       "      <td>7.555579</td>\n",
       "      <td>2.755034</td>\n",
       "      <td>34.178084</td>\n",
       "      <td>33.622426</td>\n",
       "      <td>0.267204</td>\n",
       "      <td>6.470145</td>\n",
       "      <td>1.728847</td>\n",
       "      <td>4.741298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Huascaran_17/18</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>2.187704</td>\n",
       "      <td>45</td>\n",
       "      <td>N/A</td>\n",
       "      <td>5.627503</td>\n",
       "      <td>5.647757</td>\n",
       "      <td>5.659169</td>\n",
       "      <td>30.562918</td>\n",
       "      <td>...</td>\n",
       "      <td>101.55502</td>\n",
       "      <td>14.076978</td>\n",
       "      <td>10.85874</td>\n",
       "      <td>3.218238</td>\n",
       "      <td>48.558266</td>\n",
       "      <td>48.586681</td>\n",
       "      <td>0.228617</td>\n",
       "      <td>6.453952</td>\n",
       "      <td>1.475484</td>\n",
       "      <td>4.978468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Huascaran_18/19</td>\n",
       "      <td>N/A</td>\n",
       "      <td>2018-2019</td>\n",
       "      <td>2.697947</td>\n",
       "      <td>40</td>\n",
       "      <td>N/A</td>\n",
       "      <td>3.640879</td>\n",
       "      <td>2.585271</td>\n",
       "      <td>3.519208</td>\n",
       "      <td>25.551554</td>\n",
       "      <td>...</td>\n",
       "      <td>133.76865</td>\n",
       "      <td>12.85704</td>\n",
       "      <td>10.965731</td>\n",
       "      <td>1.891309</td>\n",
       "      <td>69.041634</td>\n",
       "      <td>69.04022</td>\n",
       "      <td>0.147103</td>\n",
       "      <td>4.779830</td>\n",
       "      <td>0.703127</td>\n",
       "      <td>4.076703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Quelccaya Summit_15/16</td>\n",
       "      <td>2016-07-04 00:00:00</td>\n",
       "      <td>2015-2016</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.85</td>\n",
       "      <td>2.98</td>\n",
       "      <td>3.02</td>\n",
       "      <td>52.806366</td>\n",
       "      <td>...</td>\n",
       "      <td>720.6103</td>\n",
       "      <td>2.687976</td>\n",
       "      <td>1.760347</td>\n",
       "      <td>0.927629</td>\n",
       "      <td>35.367417</td>\n",
       "      <td>35.04112</td>\n",
       "      <td>0.345103</td>\n",
       "      <td>7.286661</td>\n",
       "      <td>2.514651</td>\n",
       "      <td>4.77201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Quelccaya Summit_17/18</td>\n",
       "      <td>2018-08-29 00:00:00</td>\n",
       "      <td>2017-2018</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.32</td>\n",
       "      <td>63.182507</td>\n",
       "      <td>...</td>\n",
       "      <td>415.7098</td>\n",
       "      <td>5.968101</td>\n",
       "      <td>3.031409</td>\n",
       "      <td>2.936692</td>\n",
       "      <td>43.843862</td>\n",
       "      <td>43.902457</td>\n",
       "      <td>0.492065</td>\n",
       "      <td>6.960534</td>\n",
       "      <td>3.425033</td>\n",
       "      <td>3.535501</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      loc        Snow pit date Thermal Year  \\\n",
       "0         Huascaran_14/15                  N/A    2014-2015   \n",
       "1         Huascaran_15/16                  N/A    2015-2016   \n",
       "2         Huascaran_16/17                  N/A    2016-2017   \n",
       "3         Huascaran_17/18                  N/A    2017-2018   \n",
       "4         Huascaran_18/19                  N/A    2018-2019   \n",
       "5  Quelccaya Summit_15/16  2016-07-04 00:00:00    2015-2016   \n",
       "6  Quelccaya Summit_17/18  2018-08-29 00:00:00    2017-2018   \n",
       "\n",
       "  Annual thickness (mwe)    n Snow accumulation (mwe)  \\\n",
       "0               1.567773   33                     N/A   \n",
       "1                1.14444   20                     N/A   \n",
       "2               1.598363   28                     N/A   \n",
       "3               2.187704   45                     N/A   \n",
       "4               2.697947   40                     N/A   \n",
       "5                    N/A  N/A                    0.37   \n",
       "6                    N/A  N/A                    0.86   \n",
       "\n",
       "  Average BC concentration (ng.g-1) BC Conc. Stdv ± (ng.g-1)  \\\n",
       "0                          4.517304                 5.502673   \n",
       "1                          5.172117                 6.743365   \n",
       "2                           4.69307                 4.184044   \n",
       "3                          5.627503                 5.647757   \n",
       "4                          3.640879                 2.585271   \n",
       "5                              4.85                     2.98   \n",
       "6                              1.51                     2.05   \n",
       "\n",
       "  BC flux (mg.m-2.yr-1) GC BC Flux (mg.m-2.yr-1)  ... GC DST WetDep [FF]  \\\n",
       "0              5.651505                25.827883  ...          130.20135   \n",
       "1              5.099515                30.372728  ...          245.08076   \n",
       "2              4.431032                 32.87784  ...         103.646095   \n",
       "3              5.659169                30.562918  ...          101.55502   \n",
       "4              3.519208                25.551554  ...          133.76865   \n",
       "5                  3.02                52.806366  ...           720.6103   \n",
       "6                  1.32                63.182507  ...           415.7098   \n",
       "\n",
       "  GC BC Norm_Flux (mg.m-2.yr-1)  GC BC Norm_Flux [FF] GC BC Norm_Flux [GFED4]  \\\n",
       "0                      8.261855              6.949627                1.312228   \n",
       "1                      6.968512              4.900208                2.068304   \n",
       "2                     10.310613              7.555579                2.755034   \n",
       "3                     14.076978              10.85874                3.218238   \n",
       "4                      12.85704             10.965731                1.891309   \n",
       "5                      2.687976              1.760347                0.927629   \n",
       "6                      5.968101              3.031409                2.936692   \n",
       "\n",
       "  GC DST Norm_Flux (mg.m-2.yr-1) GC DST Norm_Flux [FF] GC BC_norm fire %  \\\n",
       "0                        42.0803             42.075664           0.15883   \n",
       "1                      56.103261             54.806737          0.296807   \n",
       "2                      34.178084             33.622426          0.267204   \n",
       "3                      48.558266             48.586681          0.228617   \n",
       "4                      69.041634              69.04022          0.147103   \n",
       "5                      35.367417              35.04112          0.345103   \n",
       "6                      43.843862             43.902457          0.492065   \n",
       "\n",
       "  GC-BC total(ppb) GC-BC BB(ppb) GC-BC FF(ppb)  \n",
       "0         5.285660       0.83952       4.44614  \n",
       "1         6.107338      1.812702      4.294636  \n",
       "2         6.470145      1.728847      4.741298  \n",
       "3         6.453952      1.475484      4.978468  \n",
       "4         4.779830      0.703127      4.076703  \n",
       "5         7.286661      2.514651       4.77201  \n",
       "6         6.960534      3.425033      3.535501  \n",
       "\n",
       "[7 rows x 33 columns]"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###geting concentrations\n",
    "### GC normalized / annual thickness etc\n",
    "### (mg m-2 yr-1) / (m yr-1) = (mg/m3) / (997 kg /m3density of water) = (mg/kg of water) *(10**6 (ng/mg))* (1/1000 (kg/gr))\n",
    "#BC_ppb_Andes=xr.Dataset()\n",
    "#BC_at glacier['BC_ppb'] = (model_BC normalized/snow accumulation [mwe])*(1/997)*(10**6)*(1/1000)\n",
    "dep_table_norm['GC-BC total(ppb)'] = ((dep_table_norm[\"GC BC Norm_Flux (mg.m-2.yr-1)\"][0]/dep_table_norm['Annual thickness (mwe)'][0])*(1/997)*10**6*(1/1000),\n",
    "                                (dep_table_norm[\"GC BC Norm_Flux (mg.m-2.yr-1)\"][1]/dep_table_norm['Annual thickness (mwe)'][1])*(1/997)*10**6*(1/1000),\n",
    "                                (dep_table_norm[\"GC BC Norm_Flux (mg.m-2.yr-1)\"][2]/dep_table_norm['Annual thickness (mwe)'][2])*(1/997)*10**6*(1/1000),\n",
    "                                (dep_table_norm[\"GC BC Norm_Flux (mg.m-2.yr-1)\"][3]/dep_table_norm['Annual thickness (mwe)'][3])*(1/997)*10**6*(1/1000),\n",
    "                                (dep_table_norm[\"GC BC Norm_Flux (mg.m-2.yr-1)\"][4]/dep_table_norm['Annual thickness (mwe)'][4])*(1/997)*10**6*(1/1000),\n",
    "                                (dep_table_norm[\"GC BC Norm_Flux (mg.m-2.yr-1)\"][5]/dep_table_norm['Snow accumulation (mwe)'][5])*(1/997)*10**6*(1/1000),\n",
    "                                (dep_table_norm[\"GC BC Norm_Flux (mg.m-2.yr-1)\"][6]/dep_table_norm['Snow accumulation (mwe)'][6])*(1/997)*10**6*(1/1000))\n",
    "# BC ppb from fires  found by taking the GC model fire percentage contribution\n",
    "dep_table_norm['GC-BC BB(ppb)'] = (dep_table_norm['GC-BC total(ppb)'] *dep_table_norm['GC BC_norm fire %'])\n",
    "\n",
    "dep_table_norm['GC-BC FF(ppb)'] = (dep_table_norm['GC-BC total(ppb)'] *(1-dep_table_norm['GC BC_norm fire %']))\n",
    "dep_table_norm\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Snow accumulation averages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_huas_snow=dep_table_norm['Annual thickness (mwe)'][0:5].mean() ###huascaran 2014-2019 ice core\n",
    "avg_que_snow=dep_table_norm['Snow accumulation (mwe)'][5:7].mean() ##quelccaya snowpits\n",
    "avg_arte_snow = avg_yrly_prec_arte16_19/1000 ## yearly precip in mm for artesonraju\n",
    "avg_arun_snow = avg_yrly_prec_arun/1000 ## yearly precip in mm for artuntani"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels=['Huascaran']\n",
    "_=plt.boxplot(dep_table_norm['Precip obs/GC ratio'][0:5],medianprops=medianprops, meanprops=meanpointprops, meanline=False,\n",
    "                  showmeans=True)\n",
    "_=plt.xticks(range(1,2),labels)\n",
    "_= plt.title(\" Precipiation ratios for ice core. \", y=1.05)\n",
    "_=plt.ylabel('Ratios (Obs./GC)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precipitation obs: GC ratio at Huascaran average: 0.3343435561969633\n",
      "Precipitation obs: GC ratio at Quelccaya average: 0.051916341372378605\n"
     ]
    }
   ],
   "source": [
    "print(\"Precipitation obs: GC ratio at Huascaran average: \" + str(dep_table_norm['Precip obs/GC ratio'][0:5].mean()))\n",
    "print(\"Precipitation obs: GC ratio at Quelccaya average: \" + str(dep_table_norm['Precip obs/GC ratio'][5:7].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precipitation obs: GC ratio at Huascaran: 0    0.284006\n",
      "1    0.194413\n",
      "2    0.280507\n",
      "3    0.435535\n",
      "4    0.477257\n",
      "Name: Precip obs/GC ratio, dtype: object\n",
      "Precipitation obs: GC ratio at Quelccaya: 5    0.028478\n",
      "6    0.075354\n",
      "Name: Precip obs/GC ratio, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(\"Precipitation obs: GC ratio at Huascaran: \" + str(dep_table_norm['Precip obs/GC ratio'][0:5]))\n",
    "print(\"Precipitation obs: GC ratio at Quelccaya: \" + str(dep_table_norm['Precip obs/GC ratio'][5:7]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average ratio between Obs/GC from 2014-2019 at Huascaran: 0.334\n",
      "Average BC contribution from fires from 2014-2019 at Huascaran: 21.971%\n",
      "Average BC contribution from fires during therm yrs 2016 & 2018 at Quelccaya: 41.858%\n"
     ]
    }
   ],
   "source": [
    "avg_clim_huas_ratio_avg=dep_table_norm['Precip obs/GC ratio'][0:5].mean()\n",
    "avg_BCfire_huas= dep_table_norm['GC BC_norm fire %'][0:5].mean()\n",
    "avg_BCfire_que= dep_table_norm['GC BC_norm fire %'][5:7].mean()\n",
    "print('Average ratio between Obs/GC from 2014-2019 at Huascaran: '+ (str('%.3f'%avg_clim_huas_ratio_avg)) )\n",
    "print('Average BC contribution from fires from 2014-2019 at Huascaran: '+str('%.3f'%(avg_BCfire_huas*100))+\"%\" )\n",
    "print('Average BC contribution from fires during therm yrs 2016 & 2018 at Quelccaya: '+str('%.3f'%(avg_BCfire_que*100))+\"%\" )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2536500662470819"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "###create dataframe with obc/GC ratios for Arte, Arun, Huascaran\n",
    "avg_prec_rat_huas_que= dep_table_norm['Precip obs/GC ratio'].mean()\n",
    "avg_prec_rat_huas= dep_table_norm['Precip obs/GC ratio'][0:5].mean()\n",
    "avg_prec_rat_huas_que"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.15338609296600558"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_rat_andes_wArun = (avg_prec_rat_huas_que + avg_clim_arte_ratio_avg +avg_clim_arun_ratio_avg)/3\n",
    "avg_rat_andes_wArun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.154378562695008"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_rat_andes = (avg_prec_rat_huas_que + avg_clim_arte_ratio_avg)/2\n",
    "avg_rat_andes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 4800x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##FIGURE in paper: Figure 3\n",
    "#\n",
    "fig, ax = plt.subplots(figsize=(16, 8), dpi=300)\n",
    "x = np.arange(len(dep_table14_9['loc'].unique()))\n",
    "\n",
    "# Define bar width. We'll use this to offset the second bar.\n",
    "bar_width = 0.4\n",
    "\n",
    "\n",
    "width = 0.35  # the width of the bars\n",
    "rects1 = ax.bar(x- bar_width/2 , dep_table_norm['Average BC concentration (ng.g-1)'],bar_width,yerr=dep_table_norm['BC Conc. Stdv ± (ng.g-1)'],\n",
    "       align='center',alpha=0.5,ecolor='black',capsize=10,label='Observations', color='lightsteelblue')\n",
    "rects2 = ax.bar(x + bar_width/2, dep_table_norm['GC-BC total(ppb)'] ,bar_width, label='GEOS-Chem: Fossil fuels', color='purple')\n",
    "rects3 = ax.bar(x + bar_width/2, dep_table_norm['GC-BC BB(ppb)'],bar_width, label='GEOS-Chem: Fires', color='indianred')\n",
    "plt.axvline(x=4.5, color='b',ls='--', lw=4)\n",
    "#adding text inside the plot\n",
    "plt.text(1.5, 12, 'Huascara\\u0301n', fontsize = 20, color='b')\n",
    "plt.text(5.25, 12, 'Quelccaya', fontsize = 20, color='b')\n",
    "\n",
    "ax.set_ylim([0,13])\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('BC (ppb)', fontsize = 20)\n",
    "ax.set_title('Observed and modeled BC at two mountain sites. ', y=1.05, fontsize = 20);\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(['2014/15','2015/16', '2016/17', '2017/18','2018/19','2015/16','2017/18'], fontsize = 22)\n",
    "ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15),\n",
    "          ncol=3, borderaxespad=0.5, fontsize = 18 );\n",
    "fig.savefig('../PP1_figs/BCAndes_Figure3.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     17.009183\n",
       "1     18.081962\n",
       "2     37.865942\n",
       "3     14.685901\n",
       "4     31.282293\n",
       "5     50.240433\n",
       "6    360.962513\n",
       "dtype: object"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## annual percent errors\n",
    "#percent error_annual_huas_gue = (dep_table_norm['GC-BC total(ppb)']-dep_table_norm['Average BC concentration (ng.g-1)']).values\n",
    "percent_error_annual_huas_gue = (((dep_table_norm['GC-BC total(ppb)'])-(dep_table_norm['Average BC concentration (ng.g-1)']))/(dep_table_norm['Average BC concentration (ng.g-1)']))*100\n",
    "percent_error_annual_huas_gue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Uploading 2009 Illimani ice core data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_year</th>\n",
       "      <th>Année hydro</th>\n",
       "      <th>Accu (mweq)</th>\n",
       "      <th>Concentration rBC (ppb) Annual mean</th>\n",
       "      <th>FLUX rBC (µg.cm-2.an)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>2009-03-01</td>\n",
       "      <td>0.359565</td>\n",
       "      <td>3.096745</td>\n",
       "      <td>10.946131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007</td>\n",
       "      <td>2008-03-01</td>\n",
       "      <td>0.737826</td>\n",
       "      <td>7.399482</td>\n",
       "      <td>71.921419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2006</td>\n",
       "      <td>2007-03-01</td>\n",
       "      <td>0.710260</td>\n",
       "      <td>2.946420</td>\n",
       "      <td>17.952666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005</td>\n",
       "      <td>2006-03-01</td>\n",
       "      <td>0.642551</td>\n",
       "      <td>4.103627</td>\n",
       "      <td>21.148685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2004</td>\n",
       "      <td>2005-03-01</td>\n",
       "      <td>0.580903</td>\n",
       "      <td>5.513808</td>\n",
       "      <td>37.609487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2003</td>\n",
       "      <td>2004-03-01</td>\n",
       "      <td>0.570598</td>\n",
       "      <td>4.294443</td>\n",
       "      <td>21.961327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2002</td>\n",
       "      <td>2003-03-01</td>\n",
       "      <td>0.693373</td>\n",
       "      <td>5.249672</td>\n",
       "      <td>25.784562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2001</td>\n",
       "      <td>2002-03-01</td>\n",
       "      <td>0.658651</td>\n",
       "      <td>3.112414</td>\n",
       "      <td>24.543243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2000</td>\n",
       "      <td>2001-03-01</td>\n",
       "      <td>0.929442</td>\n",
       "      <td>2.912897</td>\n",
       "      <td>21.253947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1999</td>\n",
       "      <td>2000-03-01</td>\n",
       "      <td>0.509507</td>\n",
       "      <td>4.606468</td>\n",
       "      <td>20.841179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1998</td>\n",
       "      <td>1999-03-01</td>\n",
       "      <td>0.541240</td>\n",
       "      <td>3.640558</td>\n",
       "      <td>18.396703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1997</td>\n",
       "      <td>1998-03-01</td>\n",
       "      <td>0.525354</td>\n",
       "      <td>2.907735</td>\n",
       "      <td>19.161310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1996</td>\n",
       "      <td>1997-03-01</td>\n",
       "      <td>0.689598</td>\n",
       "      <td>2.824890</td>\n",
       "      <td>23.431274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1995</td>\n",
       "      <td>1996-03-01</td>\n",
       "      <td>0.845859</td>\n",
       "      <td>2.639575</td>\n",
       "      <td>23.658087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1994</td>\n",
       "      <td>1995-03-01</td>\n",
       "      <td>0.970669</td>\n",
       "      <td>2.120734</td>\n",
       "      <td>12.978239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1993</td>\n",
       "      <td>1994-03-01</td>\n",
       "      <td>0.848040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    start_year Année hydro  Accu (mweq)  Concentration rBC (ppb) Annual mean  \\\n",
       "0         2008  2009-03-01     0.359565                             3.096745   \n",
       "1         2007  2008-03-01     0.737826                             7.399482   \n",
       "2         2006  2007-03-01     0.710260                             2.946420   \n",
       "3         2005  2006-03-01     0.642551                             4.103627   \n",
       "4         2004  2005-03-01     0.580903                             5.513808   \n",
       "5         2003  2004-03-01     0.570598                             4.294443   \n",
       "6         2002  2003-03-01     0.693373                             5.249672   \n",
       "7         2001  2002-03-01     0.658651                             3.112414   \n",
       "8         2000  2001-03-01     0.929442                             2.912897   \n",
       "9         1999  2000-03-01     0.509507                             4.606468   \n",
       "10        1998  1999-03-01     0.541240                             3.640558   \n",
       "11        1997  1998-03-01     0.525354                             2.907735   \n",
       "12        1996  1997-03-01     0.689598                             2.824890   \n",
       "13        1995  1996-03-01     0.845859                             2.639575   \n",
       "14        1994  1995-03-01     0.970669                             2.120734   \n",
       "15        1993  1994-03-01     0.848040                                  NaN   \n",
       "\n",
       "    FLUX rBC (µg.cm-2.an)  \n",
       "0               10.946131  \n",
       "1               71.921419  \n",
       "2               17.952666  \n",
       "3               21.148685  \n",
       "4               37.609487  \n",
       "5               21.961327  \n",
       "6               25.784562  \n",
       "7               24.543243  \n",
       "8               21.253947  \n",
       "9               20.841179  \n",
       "10              18.396703  \n",
       "11              19.161310  \n",
       "12              23.431274  \n",
       "13              23.658087  \n",
       "14              12.978239  \n",
       "15                    NaN  "
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###uploading BC flux from snow\n",
    "BC_Illimani_xls=pd.ExcelFile('../BC_Andes_files/Illimani99_harvard.xlsx')\n",
    "Illimani_dep_data= pd.read_excel(BC_Illimani_xls)\n",
    "Illimani_dep_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.612016351942094"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Illimani_2004_2009 = Illimani_dep_data['Concentration rBC (ppb) Annual mean'][0:5].mean()\n",
    "Illimani_2004_2009"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC for Huascarán & Quelccaya between 2014-2019 and Illimani between 2004-2009.')"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7TJgwAW3btsX+/fsxbdq0Mk+imnh7e8PDwwN79uzR+CVVGdu2bQMAzJgxAwYGBmWup/zRuX37dhQXF1fpOa9fv45hw4Zh48aNcHR0xOTJk9GzZ0+Eh4djwoQJOHXqVLn2c/LkSYwYMQL//PMP2rRpg+nTp6Nv375QKBT466+/Kr3ujz/+iOjoaHh4eGDSpEkYOnQocnNz8dVXX5XqVjBhwgQApU+eSlu3bgUAjBkzRm3Z/v374ejoiBEjRmDcuHGwsbHB6tWrMX78eOTk5JTr+JUyMzMxfvx4xMbGYsSIERg+fDgSEhLw9ttvlzo2AFi6dClmzZqFiIgI9OjRQ/XF+ffff6s9v/LcZWJiAhMTE9V5bP78+aquEj4+PkhJSVF7P96/fx9JSUkAnl7MeJby376+vqplWVlZmDBhAn7++WdoaWlh5MiRGD58ONLS0vDWW2/hl19+qfQxPKu4uBgzZszA4cOHERAQgNGjR6OgoAA//fRTqQKyMpTniecv6l29ehUFBQXw8vKCsbGx2mNSqRT+/v4ASr9WlbV8+XLcuHED33777Uu/qypLeYzPHmtRURGuXLkCAwMDdOrUqdQ2ygK+qsepvACnqVuScllISEi59/ff//4XDx48gLe3N6ZOnYpBgwYhKSkJ7777LhYvXlzmdm+99RbWr1+PV155BePHj4e+vj7++usvfPbZZ6XWXbNmDd58800kJCRg+PDhGDFiBGJjYzF+/PhKX4ypKcePH8fcuXNhaWmJcePGoVWrVti5cydef/111fejXC7HqFGj4OXlhRMnTmDu3LmlLlpV9jx38uRJzJw5E0ZGRhg3bhw6deqEU6dOYdKkSaUuqFfWf/7zH+zYsQO9evXCpEmTIJFIsGTJEixcuLDURZrTp0+rLnS1b98eU6ZMga+vLw4fPozRo0fj+vXrqnXnz58PFxcXAMCUKVNU58spU6YA+L/z3vPvT+XFnCtXrqhd5A0LC4NcLlc7XwLAhx9+iLfeegvx8fEIDAzExIkTYWZmhl9//RUzZ86EXC6v9DE864cffsAPP/wAZ2dnTJw4EU2bNsXWrVtVvweqqrrOI1U5xyq7ob/55ptwdHSs+kFpoDy+5y8+KfN069at1DaajrMyr82LzpfGxsawsLBAampqqeK4QsrTrKbslvfbb7+p/vv666+F8ePHC87OzsLcuXPVmvp27dr10u4TlVFWNyNlU+Tw4cOFnJwc1fLc3FwhKChIkMlkwr///qvxmN55550KdUlRdg155ZVX1F6P5//T1JXxwoULL2zm1NR1IisrS0hNTS21bnJystC1a1ehf//+asvnz58vyGQy4caNG6W2eX4/b775piCTyYRPP/1UKCkpUXssOztbyMrKUv374cOHpZrHBUEQzpw5I7i4uAiffvqpxmOVyWTCpk2bNB5vfHy8oFAoSi3/5ZdfBJlMJuzbt09tufJ19fT0FG7evKnxWJ7f5kVSU1OFsWPHCjKZTPDz89P4mlVEcXGx0K5dO0Emkwn37t176fr+/v6CTCYTrl27plr2oq4hmrrRFBcXC3369BHc3d1LNfs/fPhQ8Pf3F7p27ar2t9PUlTE1NVXw8vIS2rVrp7H7QHJycqXWFQRBuH//fql1SkpKhHfffVeQyWTC1atX1R4bNGiQ4O7uXur9Gh8fLzg7Owtjx45VW56YmFiqK6ogCMLWrVsFmUwmrFixotRjZVG+ZxcuXKj2mYiPjxe8vb2Fdu3aqXVfCAkJUXWDyMzMVNuX8u/11VdfqS1/UVfGbdu2CTKZTFi/fr1q2aZNmwSZTCZMnz5daNeunZCXl6d6bNiwYYKHh4fa31fZ9WflypVq+y4oKBBmzJghODs7C9HR0VU+BplMJsyaNUvIz89XLX/y5InwyiuvCK+88opQVFSk8RjLa8WKFYJMJhMWLVqktnz9+vWCTCYTPv/8c43b/fXXX4JMJhO+//77Mvdd3q6M165dE9zc3IRffvlFtayyXRnLcvXqVUEmkwndunVTex/HxsYKMplMGDx4sMbtIiIiBJlMJowaNarMfZenK6PyHHjy5MlSjx0/flz1mXj06FG5jkfT572wsFCYMmWK4ObmVqqbuPKcFxQUJKSnp6uW5+bmCn369BFcXFzUnjshIUFo166d4O3trdZdqaSkRPX9V9tdGV+0rqurq9p58tnu7t7e3sLu3bvVtvvggw8EmUwmHDlyRG15Rc9zzz7/+fPn1R778ccfNZ4jKtptUPna9e3bV607ckFBgTBmzBhBJpMJu3btUi3PyMgQOnXqJHTu3Fm4deuW2r5iY2OFjh07CsOHDy93pvj4eEEmkwkLFixQLbtz547qfCmTydSO/auvvhJkMpkQFhamWqZ8nV5//XW1c5kg/N935Zo1a6rlGLp37y48ePBAtby4uFiYMGFCqd8BlVGd55HKnmOzsrKEHj16CBMnTlT9tlMee0W7MpYlOztb8PPzE5ydnYXbt2+rPdalSxdBJpOVGkKi1LFjR0Emk6m+Qyvz2iiHonz33Xcaszk7OwsymUzYu3dvZQ+xYl0Zly5dqvpvzZo1uHTpEpycnDBo0CC1qvrx48cAUCuz6gFPmy+Bp1fcjIyMVMsNDQ1VrWXKloxn6ejo4L333qvQzFpK2dnZaq/H8/9VFxMTE1haWpZa3qxZM/Tv3x93795VXU1/lqZZYZ7dT2pqKvbv3w8bGxu89957pZqbjY2NYWJiovp306ZNNV4t9vf3R5s2bXD27FmN+V1dXTFu3DiNjzk4OEAikZRarux+cObMGY3baerup5yoIzIyUuM2z8vPz8e0adMQExOD3377DcbGxpg8eTLCw8NLrduvXz+88sorL91nZmamqvXL1tb2pesr19HUFbS8Tp48ifj4eEyaNKlUs3/Tpk0xa9YsPH78+KVXvP/55x/k5ORg3LhxGrsPPPtZrsi6ANCiRYtS60ilUtVVz+f/zuPHj0dRURH++ecfteVbt26FIAil3k92dnYau22NGjUKxsbGZb43y6KlpYW3335b7TPh4OCAyZMno7i4WK1L1rp16wAAX3zxBUxNTdX2M2LECLi6ur6wC+TzNF0BDgkJgZWVler5L126BODp4OybN2/ilVdeUX0209PT8e+//8Ld3R2zZ89W27eenh7eeecdCIKglqkqx/Dxxx+rDXK2srJC7969kZ2djXv37pX7uJ8XERGB33//HUZGRnjjjTfUHlN2+3n+Sq6S8rxVke5BmhQUFODdd9+Fk5NTtV3Rfl5mZibeffddAE+7Oz37Pi7vcWrqaloRPXr0AAD88ccfKCgoUC3Pz89Xm2irvM+j6fOuq6uLiRMnQi6Xl3kuevvtt2Fubq76t6GhIYYMGQKFQoGoqCjV8j179qC4uBiTJk1S664klUrx7rvvVrrrVE0ZNGiQ2nlSKpWqZrps27Ythg4dqrb+8OHDAQA3b95UW17Z89zAgQNLtRApexyU9/vyZZ7vjqynp4c333wTwP/9PgOefndkZWVh4cKFaNOmjdo+2rZti9GjRyM6Ohq3b98u1/M6ODjAzs4OoaGhqpY55ftr4cKF0NLSKnUuNTQ0hIeHh2pZcHAwtLW18fXXX5easOG1116Dubm52vmvKsfw+uuvo3nz5qp/a2trY8SIEQBQ4WEHz6ru80hlz7FffPEFMjIy8M0332j8bVdVgiDgo48+wpMnTzB+/PhSk8QpW42f/e36LOXxKHNX5rVRni+3b99eqsvv4sWLVe/DqrTcV6gieXbq97y8PNy+fRs//vgj3n77bdy+fVs17bAyWE38YTSJjo6GVCrV+CPR29sbWlpaGu93ZmdnV+mui+WdLr86XLp0CcHBwbh69SpSU1NLdX1LSUlRfdiHDBmCw4cPY8yYMRgwYAB8fHzg5eVV6sdyZGQkFAoFvL291cYVlEUQBPz777/YtWsXbt68iaysLLWuhspuR8979gT4vLy8PAQHB+PIkSOIi4tDbm6uWreHR48eadyuffv2pZYpi5zyfhj++OMPxMTE4H//+59q7NPkyZMxc+ZMLF68GD179gTwtKk7OTn5peMgAZR7XM3z61dmhjcl5TjDpKQkjWMXlX3v79y5g+7du790P5rGN1VlXeBpsbBq1SqcOnUKiYmJpWZoev7vPGzYMPz444/YsmULZsyYAeBpt7ldu3bBzMwMAwYMUFu/uLgYW7Zswb59+3Dnzh1kZ2erdQOq6LgTW1tbjd0UlOeX6Oho1bKrV69CR0cHBw8exMGDB0ttU1xcjLS0NKSnp5cab6iJnZ0dHBwcEBoaCoVCAYlEgosXL8LPzw/e3t7Q1tZGSEgI/P39VT9GfHx8VNtHRkaipKRE1ZXoecouOc+Og6jsMZiYmGgc66A811S2YLh37x7mzZsHuVyOn3/+WeMP/Rep6OewLD/88AMSExOxbdu2Ms9vzzp69Gip7xlXV9dSM3op5eXlYd68eYiLi8OsWbNU4ybKq7q+Z6dMmYLDhw/j8uXLGDRoELp37w5BEHDq1Cnk5uaiSZMmePToUbkLnqSkJPz5558ICQlBcnKyWrEHlP15fHY4hJKm87ry8+ft7V1qfQcHB9ja2uLBgwflylobNB1XkyZNAEDjbNTK8c3PX7Cr7HmuvK9rVWj67dWpUydoa2urfSaU3x03b9586ffV80VPWXx8fLBjxw7cuHEDbm5uCA0NhY2NDTp27Ih27dqpCrO0tDTcunULXbt2VV3Iys/Px82bN2FhYYG1a9dq3L+urq5a1/KqHENN/C3EOI9oOscePnwYu3fvxqefflquW2App/1/lomJCaZNm1bmNt9++y0OHjyITp06VWqm2Ioeq6b1vby8MHbsWGzZsgVDhw5Fv379YGZmhsuXLyMyMhJt27bFrVu3yj3GV5OKNxX9f8qrDkuXLkX37t3x119/Ydy4cbC1tVWddKrSElARyimQNbXoaGtrq/p8Ps/GxqY24lXJkSNHsHDhQujp6cHPzw8tWrSAgYEBpFIpLl68iIsXL6qNq+rbty9WrFiBv//+Gzt37sSWLVsAPP0CeOutt1STtSh/NJV3kotvvvkGa9euhY2NDfz9/dG0aVPV1aVdu3aV+UVY1j2IiouLMXXqVEREREAmk2HgwIGwtLRUtV6+aOCwpqshyg+BpoleNNmzZw90dHRUV6uaNm2KdevWYdKkSZg/fz6++uorDB8+HKdPn0ZhYWGpYkATc3Nz6OjooLi4GMnJyS+dCl/5+dDUIlpeGRkZAKDxB/WzXjZdrfLKUXneDxVZNysrC6NGjUJiYiI8PDwwbNgwmJmZQVtbG1lZWQgODi71dzY2NsbQoUOxefNmXLhwAT4+Pjh27BgeP36MqVOnlmoNXrRoEY4cOQIHBwf07t0b1tbWqnPB2rVrKzyGr6z3rHL5s1cJMzIyIJfLX9pKnpeXV67CDHjaarZ161Zcv34dOjo6SEtLg4+PD4yNjdG+fXvVDw3l/z5bmCnfD5GRkS+8Gp6bm1vlY3i+dU1J+RmuzODnuLg4TJkyBZmZmfj555/Ru3fvUusoP/9ljal52VXT8rh48SI2bNiA+fPnl7oNTFmOHj2qmqhAKSgoSGNhlpeXh7lz5+LSpUuYPn26xnHQtXGcwNPv8vXr12PlypU4ePAgtm7dCkNDQ/j4+OCtt95STZRQnvNUQkICRo0ahaysLHTq1An+/v4wNjaGlpYWHjx4gF27dpV5Xtf0ftJ0Xld+/l70Oa1LhdmLvq9e9Njz45oqe57T9LoqP6Pl/b58GU1/Cy0tLZibm6v99lKen5RjhctSkenVfX19sWPHDoSEhMDFxQWhoaGqi4a+vr7466+/kJ2djQsXLkAQhFLjcQVBQFpaWrl7OlXlGKrjt8vzz1ET55GKbpORkYFPP/0UPj4+qnHiL3Pjxo1Sr7mdnV2Zhdl3332HNWvWwNvbGytWrND4e9/Y2Bjp6enIzs7W+H2r/N5TtpBV9hz7+eefw8PDA1u3bsWBAwcAPP2NvWrVKmzfvh23bt2q0nwVlS7MlExNTeHo6Ijr16/j+vXrsLW1VXX7ioqKQnZ2dpW/OF7GxMRE1Y3s+Subcrkc6enpGpsqa6tFT0l5xfH5E66Sptfq119/hY6ODnbs2FGq2fbTTz8tNSsN8LSptUePHsjLy8O1a9dw8uRJbNq0CXPnzlVN1qA8WZenNSE1NRXr1q2DTCbDpk2bSr2WL5rprazX+NixY4iIiEBQUBC+/fZbtccePXpUrd1BNVHerPDZD/ezxdn777+PtLQ0VXdPZfeSF9HW1kaHDh0QHh6O8+fPv7Awu3Pnjuoq9LM//JSvl1wuL9XFVlMLhPL9smzZMo0/YstLuZ+UlJSXtvZWZN1t27YhMTER8+fPLzW705UrVxAcHKxxu/Hjx2Pz5s3YsmULfHx8VF+CY8eOVVsvMjISR44cgZ+fH1auXKn2+dc0EUl5PDsbqablz35GjY2NVbPFVhfl8YaEhKiOR1l8denSBStXrkRGRgYuXLgAExMTtavuymxl3eNFk5o4hsq4c+cOpk6dioyMDCxevLjMliblgPLnZ2JTun//PgBU6R6B0dHREAQBS5YsKXMWXeXr/s8//8DV1RXffvttqXOZJjk5OZg7dy7Cw8Mxa9asMienatmyJbS0tJCQkKDxfFAdx6lkaGiIN954o1S30YSEBDx+/BgtW7YsNXOmJqtXr1Z1ZVJe9FLau3dvqcK1MpTv8SdPnqBt27alHi/r81uf1cR5rjo9efJErYse8PTCTEZGhtrvBeXfbvfu3apJPapKeW48f/48fHx8kJGRoSq+fHx8sGLFCoSGhmq8kKXM5ubmVu73Zk0cQ2XU5HmkoufY5ORkpKen48KFC2W+JtOnTwcAfPDBB5g2bRpGjBhR6hxRlq+//hpr165Fly5dsGLFijInVnN0dER6ejri4uJKFWaPHj1CXl4emjVrptq+KufYUaNGYdSoUaWWf/zxxwA09+wqr2rpjK1sglU2+zk4OMDPzw+FhYXlOmFUZCY9TVxdXaFQKDSODwoLC0NJSQnc3Nyq9BzVQVkMaWpJvH//vsYf3vfv30ebNm1KFWUKhUI11qQshoaG8PX1xQcffIC5c+eiuLhYNYujh4cHpFIpwsLCXnp1KiEhAQqFAl27di1VlD18+LDCU+sCUN3cVdPd28uaKr06KW/4/PzMOc2aNcO6detgb2+P7777DpGRkfjwww/LfbNAZd/9NWvWlOrC86xly5YBAPz8/NSuRCt//CQnJ5fa5tlxFkodOnQAAI3v/Yro2LEjAJSa5bOq6ypPbBX9O7u4uMDLywtHjhzBtWvXcP78eXh7e5f6HCjfR7169Sp1USYiIuKFf4OyJCcna3xPKwuXZ88lHTt2RGZmJm7dulXu/Uul0he2Jvn4+EAikSAkJAQXLlyAg4ODqmuIr68vFAoFdu/ejbi4OHTu3Fmty4Tyc12R90NljqG6xcTEYPLkycjMzMSSJUvKLMqAp+95fX19XL58udSVToVCoRpr8+wPsIqSyWSqL97n/1N2/R45ciRGjRqlNi7qZbKzszFz5kzVLU3K+jEFPO1C5enpifz8fI1/T+XnryrH+TLKsdlDhgwp1/ov+rxXV+Gv/PxpOn8kJCRoPHfWdzVxnqtOmv624eHhkMvlahceld9XL/vt8izlBe2yWpRsbGzQpk0bXLp0STVeWfmZ8PLygq6urupcamZmpnb+NjIyUnU9U7aEvUxljqG61fR5pKLnWHNz8zLPl8qiJiAgAKNGjYJMJiv3cQqCgP/9739Yu3YtunbtipUrV75wtmtlHk3zE2g6zuo+x549exYPHjxA586dq3ST9ioXZkePHkViYiJ0dHTUxuF8/PHHMDY2xsqVK/H3339rbCVKSkrCokWLcOXKlSplGDlyJICn907Iz89XLc/Pz8dPP/0EABor29rWunVrGBsb49ixY2rN+wUFBfjyyy81bmNnZ4e4uDi1li1BELB06VKNg0tDQkI0nqSVz6csMCwtLTFw4EA8fvwY3333XamTXm5urqrLiPLeP5cuXVL7QZmbm4uPP/64zBbAF1Hu8/kTekJCAn788ccK76+ilO+Hd999t9SPcCsrK/j5+an+XdZYN00GDx4MX19f3L9/HwsXLizVb7ykpAS//vor9u7dCwMDg1InVOVVlucnqwkJCcG+fftKPV/v3r3RokULbNy4scxp8a9cuaL2udBk+PDhMDY2xubNmzX+4Hn2YkJF1lUOzn/+7xwdHY0VK1a8MNP48eNRXFyMBQsWaJz0Ayj7fZSamorPP//8hfsvS0lJCX788Ue1z0RCQgLWrVsHbW1ttcH6ym4Xn3zyicbW57y8vFL3GzQ3N0daWlqZP6asrKzQtm1bXL58GWFhYWpdb7y8vKCnp6d67Z7/wrCyssKQIUMQFRWF33//XeNnMz4+Xu3+M5U5hup048YNTJkyBbm5uVi2bJlqfGdZjIyMMGzYMOTl5ZVqWV+/fj0ePHgAf3//co1zKIufnx+++uorjf8pr8R+/vnn+Oqrr8o10Q/w9ALmtGnTcPXqVSxYsEA1JvtFxo8fD+DpoPJnx6JGRERg//79sLS0RL9+/SpxhOo0deU5deoU/v77bzRt2lQ1Uc/LlPV5PHPmDLZv317lnMDTIlFHRwfr169XO3crFAp8//331dY9ry6pifNcdVq+fLnad11hYSF+/vlnAP/3+wx4OpmQqakpli5dqnGyC4VCUeq+hcoLH5omOVPy8fFBfn4+goOD0apVK1Xrnb6+Pjp27IgDBw4gPj4enTt3LjVWctq0aSguLsaHH36o8eJ4Zmam2vT3lTmG6lQb55GKnmNtbW3LPF8q64Lp06fjq6++Uvtt9SKCIOCTTz7Bxo0bERAQgOXLl7/0AvmIESOgq6uLDRs2qJ0bMjMzVd+Zz/+OqMw5VtP5Mj4+Hp9++im0tLTw1ltvlXr8zp075b4tU4W6Mj7bpSMvLw937txRVZSLFi1S62fs5OSEVatWYcGCBfjuu+8QHBwMX19fNGnSBHl5ebh586aqIHt+9rCKGjJkCI4dO4YDBw5g0KBB6NOnDyQSiapoHDBgQKmZj8Sgo6ODKVOmYNmyZRg+fDgCAwMhl8tx/vx5NGnSRDU271nTpk3DZ599hqCgIPTt2xfa2tq4fPky7ty5g549e+LEiRNq63/77beqit3Ozg46Ojq4fv06Lly4ADs7OwwaNEi17qeffopbt25h8+bNuHjxIvz9/aGjo4PExEScPXsWy5cvR5cuXWBjY4NBgwZh3759GD58OLp27Yrs7GycP38eurq6cHV11Ti5yov07NkTLVu2xOrVqxEbGwtXV1ckJyfjxIkT6NGjxwtPwtVh+vTpiIyMxKFDhzBo0CD06NEDLVq0QFpaGk6fPo1Hjx4hKCgIZ8+exbfffqv6wfsyWlpa+O233/Cf//wHp06dQp8+fdC9e3dVC93Zs2eRmJgIXV1d/Pjjj6Wa/UeOHIlVq1ZhxYoVuHnzJpycnBAXF4czZ84gMDCw1M1kn73v25w5c+Dp6QlXV1fo6+vj4cOHiIyMREJCAs6ePfvCK02Wlpb46aefsHDhQtXNzJ2dnZGTk4OYmBgkJyerJrupyLrDhg3DqlWr8PXXXyM0NBQtW7bE/fv3cfLkSQQGBmL//v1lZurfvz+++eYbpKSkwMLCQuNV+Pbt28PLywuHDx/GuHHj4OXlhdTUVJw+fRqOjo4aP1Mv4+zsjIiICIwYMUL1Xj9w4ACysrLwzjvvqE1G4evri7feegs///wz+vXrh4CAANjb2yMvLw9JSUkICwuDl5cXVq1apbZNZGQkZs2ahU6dOkFXVxcuLi5qN6j18fFRteY+W5jp6urCy8tL1S3n+dnWgKef6/v37+O3337Dv//+Cy8vL1hbW+PRo0e4c+cOIiMj8fPPP6u1wlX0GKqL8keGsvvR1atXNRaBU6dOVRsrs2jRIoSGhmL16tW4ceMGPDw8cOfOHRw7dgxWVlYa7321bds21VVuZcvOiRMnVMVo69atMWfOnGo/RqX58+cjKioKLVq0UHWTfF6fPn3UWhgGDRqEw4cP49ChQxg+fDh69uyJjIwMHDhwAAqFAl988UWpXgzh4eGqIkjZG+L+/fuqm5gDKNXlsn///nB2dkbr1q2hq6uLqKgoXLhwAZaWlvjjjz/K1Y0ReHofwp07d+I///kP+vbti6ZNm+LWrVs4c+YMBgwY8MLPe3nZ29vjrbfewrfffougoCAMGDAAJiYmOHv2LLKzs+Hs7Kw2UVlDUBPnuerUunVrDBo0CP3794e2tjaOHTuG+Ph49OjRQzUDJQBYWFjgt99+w+uvv44xY8bA19cXbdq0gVQqRXJyMq5cuYKMjAy18bG+vr5YtWoVPvnkE/Tr1w+GhoYwNTXFpEmT1NZZv349UlNTERgYqJbN19dXVdBqOl+OGjUK169fx8aNGxEYGAh/f3/Y2toiMzMTiYmJCAsLw4gRI1QFcGWOoTrV1nmkMufY6vT7779j27Zt0NfXh6urK1auXFlqnecnV3JwcMC7776LL7/8EiNHjsTAgQOho6ODQ4cO4eHDh5gxY0apidwq89p8+OGHSEpKQrt27WBmZob79+/jxIkTkMvl+PLLL1W9ip6lnJSlPOemChVmz1bOWlpasLS0RM+ePTFp0iTVpBLP6tixIw4ePIht27bh2LFjOHnyJLKysqCvr4+WLVti+vTpGDNmTJWubCr9/PPP8Pb2xo4dO1QTXjg5OWHGjBmqirguWLhwIQwMDLB161Zs3boV1tbWGDhwIBYsWKBWNCmNGzcOurq6WLt2Lf755x/o6emhU6dO+Oabb3D48OFShdncuXNx9OhRREVFISQkBBKJBM2bN8err76KqVOnqn3BmpmZYfPmzVi7di3279+PrVu3QiqVwtbWFiNHjlSbUeirr76Cg4MD9u/fjw0bNsDS0hK9evXCwoULsXDhwgq/DoaGhli7di1+/PFHXLx4EeHh4XBwcMBrr72G6dOnV8sX+Itoa2urfrhu374d586dU51wOnfujIkTJ8LLywsRERGYPHkyPvjgA5iZmZVrJkJTU1P8/fffOHjwIHbv3o2QkBCkp6erWhs9PT3x7bffauy3bGVlhfXr1+P7779HWFgYwsLC4O7ujr///huJiYmlCjPgabe/3bt3Y/Xq1Th58iR27twJqVQKGxsbuLm5YcGCBeWaeKJHjx7YsWOHaka1c+fOwdTUFK1bt8bcuXMrtW7Tpk2xYcMG/Pjjj7h06RLOnj2L1q1b47PPPoOvr+8L/866uroYMmQI1q5di6CgII2DfbW0tLB8+XIsXrwYp0+fxrp169C0aVOMHj0a8+bN0/iZehkzMzP8+eef+OGHH7Bz507k5OSgTZs2mDFjhsbifM6cOfDy8sK6detw6dIlHD9+HMbGxmjatCnGjBmDwYMHq60/b948ZGVl4cSJE7h8+TJKSkoQFBSkVpj5+voiODgYEokEXbp0Udve19cXISEhsLa21jjGxtjYGOvWrcPWrVuxd+9eHD58GIWFhbC2tkbLli3xwQcflLpqWdFjqC7Z2dmqLkQhISFlTqUeFBSkVphZWFhgy5YtWLp0KY4dO4ZLly7B3NwcI0aMwH/+8x+Nt2q5dOlSqXEkMTExqi/Kzp0712hhppyQIj4+vswxtHZ2dqXGnP78889Yv349duzYgfXr16u+A+bNmwcvL69S+4iPjy91nKmpqWrLni/MhgwZgrNnz+LKlSuQy+WwtbXFjBkzMHv27ApNTuTi4oLg4GDV51Eul8PFxQVLly6FiYlJtZ3Xp0+fDhsbG6xatQq7du2CkZER/P398c477+Dtt9+ulueoS2riPFedfv31V/z+++/Ys2cPHj16hKZNm2LBggWYM2dOqXHmvr6++Pfff/H333/j7NmzCA8Ph46ODpo0aQIfH59SrRPdunXD+++/j61bt2LNmjUoLi6GnZ2dWmGmbAlTKBSlehH4+vri119/BVB2l7TPPvsMAQEB2Lx5M86fP6+aUM7W1hYzZ84sdWG/osdQnWrrPFKZc2x1UrZ4FRQUlNm7RtPkSpMnT4adnR3+/vtv/PPPPxAEAU5OTnjjjTcQFBRUah+VeW169uyJLVu24ODBg8jNzYWlpSX69u2LWbNmVcu4Q4lQXXMLE9ELxcTEYMKECTAwMMD69eurZdB+Qzd58mSEhYXh4MGDfL2IiIioQatbd2IkasCcnZ2xePFipKenY9q0aXVqSue6KCIiQtXFlkUZERERNXRsMSOqZcob0To4OJRrGv7GZuPGjUhJScHOnTvx5MkTbNmy5YU3KiciIiJqCFiYEVGd0qtXLzx8+BAODg6YP39+uafqJiIiIqrPWJgRERERERGJjGPMiIiIiIiIRMbCjIiIiIiISGQszIiIiIiIiETGwoyIiIiIiEhkLMyIiIiIiIhExsKMiIiIiIhIZCzMiIiIiIiIRMbCjIiIiIiISGQszIiIiIiIiETGwoyIiIiIiEhkLMyIiIiIiIhExsKMiIiIiIhIZCzMiIiIiIiIRMbCjIiIiIiISGQszIiIiIiIiETGwoyIiIiIiEhkLMyIiIiIiIhExsKMiIiIiIhIZCzMiIiIiIiIRMbCjIiIiIiISGQszIiIiIiIiESmLXYAInoqIyMDOTk5YscgIqJGyNjYGObm5mLHIGrUWJgR1QEZGRno27cvMjMzxY5CRESNkJmZGQ4fPszijEhELMyI6oCcnBxkZmZiw4YNaNasmdhxqApWrFiBZcuW4dq1a2JHIVK5cOECFAoF/Pz8xI5CtSQ6OhrR0dEYNWrUS9f9+++/sWHDBuTk5LAwIxIRCzOiOqRZs2awt7cXOwZVQUBAAL7++mtYW1tDX19f7DhEAACJRAJnZ2eeXxqJpKQkXL16FZMmTULz5s1fur4gCLWQiohehpN/EBFVo969e8PMzAxz5swROwqRypMnT2BtbS12DKphcrkcFy9exPr16zF06NByF2W5ubm1kI6IXoYtZkRE1UgqlWL27Nn466+/xI5CBODpD+/U1FRYWVmJHYVqiCAIiIiIwLFjx9CsWTNMnToVTZs2Lde2T548gYGBQQ0nJKLyYGFGRFTN0tPTYWRkJHYMIgBPx7Dq6uqya20DdvnyZVy4cAFjxoypUHdVQRBw9OhRdOzYEZs3b67BhERUHuzKSERUzUJCQuDp6Sl2DCIAQHFxMXR1dcWOQTWkuLgYJ0+eRFBQUIXHEIaEhCAnJwdeXl41lI6IKoKFGRFRNUtMTISPj4/YMYiogcnLy0NOTg4UCgUEQUB6ejp27dqF1q1bl2s82bMUCgVOnjyJoUOHQktLq4YSE1FFsCsjEVE1y8nJQadOncSOQQQA0NHRQV5eHrKzs2FiYiJ2HKqk+Ph4VXfD/Px8SCQSGBkZwdXVFYGBgRXen0QigYuLC/78809O/kFUR7AwIyKqRmFhYSgpKUHXrl3FjkIEADAxMUGnTp1w4sQJDB06VOw4VAGCIODevXu4ffs2rl27hpEjR8LJyQmCIEChUEAqlUIikVRq3xKJBCNGjEBQUBDi4uKwc+fOak5PRBXFroxERNUkPj4e/fv3h7u7OwwNDcWOQ6TSvn173L9/X+wYVEEhISHYu3cvdHV1MW3aNDg5OQF4WlRpaWlVuih7lkQigY6OTpX3Q0RVxxYzIqJqkJWVhc6dO8Pa2hoXL14UOw6RGl1dXZSUlIgdgyrgyZMnOHv2LGbNmgVLS0ux4xBRLWBhRkRURffu3YNMJoNcLseCBQs4LTnVORKJBAqFQuwY1aa4uBh//fUXUlNT4ebmhoEDBzaIz11+fj5u3ryJqKgoJCYmol+/fizKiBoRdmUkIqqi48ePQy6XQ0dHB7/88ovYcYhKMTMzQ0FBAfLz88WOUi2ysrKQkZGBOXPmAAD27dsncqLKS0tLQ3h4ODZu3IjFixcjNjYWXl5eeOuttziNPVEjwxYzIqIqmj59OoKCgtCzZ0+YmpqKHYeoFIlEAmdnZ1y5cgV+fn5ix6kyKysrBAQE4J9//sHkyZPx119/YfPmzRpbzYyNjeHm5lbh6eSr6vr16wgNDUVBQQEcHBxU/5mbm+POnTuIjY3FnTt3UFxcDCcnJ7Rv3x4jR46Enp5ereYkorqDhRkRURVJpVJYWlriwYMHCAoKAgBcvnyZV7upTvHz88OmTZvg4+MDqbT+d5jx8/NDcnIyjh8/jtmzZyM2NhYlJSVqE2IIgoCMjAxs2LABgYGB6NixY43nKigowOHDhxEXF4cBAwbAyMgIiYmJuHPnDk6ePIns7Gw0b94cbm5u6Ny5M2xsbKplEg8iqv9YmBERVRNHR0fs3LkTRUVF+Oabb/DGG2+wayPVGba2tjA0NERCQgJatmwpdpwqk0gkGDRoEH799VcEBATAw8OjzHXbt2+PVatWoU2bNjA2Nq6RPLGxsTh+/DjS0tLQvn17zJ07V9X61bx5c3Tu3BkAUFhYyFYxItKIhRkRUTXZvHkz2rZti6ioKGhrayM7O1vsSERqXF1dcePGjQZRmAGAgYEBunTpgi1btmDq1KllTvtubW2Njh074sCBAxg5cqSqxVAQBAiCgIKCAsjlcrWuyMXFxXjy5AksLS1fWkgJgoB9+/ahf//+aNWqFQwMDMpcl0UZEZWFhRkRUTVxcnLCokWLEBcXhxMnTsDBwQHBwcF466238NNPP2HKlCliR6RGztXVFRs2bEC/fv0aTPe5Hj16ICMjA9u2bcOYMWOgra35p03Pnj2xbds2fP3116obNAuCAIlEohqb1qxZM8hkMiQlJeHWrVswNTVFTk4ORo8eDUdHxzIzPHnyBFKpFK6urjVyjETUOLAwIyKqRj/99BMAoFevXvjf//4HQRAAAEZGRmLGIgIA2NjYQFtbG/Hx8Q2m1UwikWDo0KHYtWsXVq9ejXHjxsHExKTUerq6upgwYQLkcjkkEgmkUikkEomqQC0pKUFMTAzu3LmDli1bol+/fjA2NkZcXBy2bt2K8ePHw8HBQWOG7OxsmJub1+RhElEjUP9H/xIR1UHHjx9HZGQk3N3dYW9vj5EjR4odiQgSiQQ9evTAgQMHGtR9zbS0tDBy5Ei4uLhg5cqVSEhI0LieRCKBjo4OtLW1VYXZs/twc3PDkCFD0KlTJ9VYtFatWmHEiBHYvHkzkpKSNO43JyenxsauEVHjwcKMiKiGWFhY4Pr161i6dKnYUYhU3N3dYW5ujrVr1yIrK0vsONVGIpGgW7duGDJkCDZv3owrV65U277btGmDIUOGYMOGDbh9+3apx1mYEVF1YGFGRFRDpk+fjhYtWmDYsGFiRyFSkUgkGDNmDNq0aYO//vqrQRVnACCTyTB9+nScPXsW+/fvr7aWQRcXF4wZMwa7d+9GaGio2mMZGRnsrkxEVcbCjIioBiQmJuLIkSNYtmyZ2FGISpFKpejWrRu8vLywd+9e1VjIhsLa2hqzZ8/Gw4cPcfbs2Wrbb8uWLTFr1iycPXsWUVFRyMjIwPnz53Hjxg24uLhU2/MQUePEwoyIqAYMHz4cjo6OGDhwoNhRiMrUrVs3ZGZmIiIiQuwo1U5fXx+jRo3CmTNnUFRUVG37NTMzw9ixY3HixAmsXr0aN2/exMyZM2FtbV1tz0FEjRNnZSQiqmaff/45rl69iuvXr4sdheiFtLS0MHz4cKxfvx6tW7fWOJthfWZiYoKSkhJoaWlV637t7e2xYMGCat0nERFbzIiIqpFCocAXX3yB7777Ds7OzmLHIXopW1tbdOrUCbt3725wXRrlcjmkUmm1F2ZERDWBhRkRUTU6duwYFAoFFi1aJHYUonILCAhAWloa7t+/L3aUaqW8gTQRUX3AwoyIqJp8+OGHGDx4MJycnCCV8vRK9Ud6ejry8vLQtGlTsaNUKxZmRFSf8JcDEVE1yMrKwvfff4/58+fjwoULYschKre4uDisXr0a/fv3h4GBgdhxqpWOjg7kcnmDupk2ETVcnPyDiKgaTJ48GZaWlvjpp5/EjkJUbpcvX8axY8cwcuRItG7dWuw41U4qlUJXVxeFhYUNrugkooaHhRkRURWdO3cOe/bswYEDB8SOQlQugiDg5MmTiIyMxPTp0xv0VO/W1tZITExE27ZtxY5CRPRC7MpIRFRFr776Knx8fNCvXz+xoxC9lEKhwL59+xAbG9so7r/VoUMHXLt2TewYREQvxRYzIqJKuH//PkaPHo3o6Gjk5+fjypUrYkcieqmSkhLs3LkTeXl5mDZtGvT09MSOVOPc3d1x7Ngx5OfnszsjEdVpbDEjIqqE7777DleuXMGnn36K7OxseHh4iB2J6IWKioqwceNGKBQKTJw4sVEUZQBgYGCANm3asNXsBRra/euI6isWZkRElTBu3DiUlJRg4cKFMDQ0FDsO0Qvl5eVh7dq1MDMzw+jRo6Gt3bg6zPj7++PcuXMoKioSO0qdVFBQIHYEIgILMyKiSlHOYMcujFTXyeVyBAcHo1WrVhgyZEijvMdes2bN0KJFC1y8eFHsKHVSdna22BGICCzMiIgqLCQkBG3btoWbmxu6dOkidhyiF0pOTkZmZiYePHiADRs24NKlS3j8+LHYsWpdz549ERISwtYhDXJzc8WOQERgYUZEVCHx8fEICAhAnz59EBER0ShbH6h+MTMzg4ODA7y9veHp6Ym4uDisWbMGd+/eFTtarbK2toa9vT1u3boldpQ6h4UZUd3QuDqZExFVgaurK27evAkbGxvs2bNH7DhE5WJqaooJEyao/t2uXTtcunQJ58+fh4ODA3R0dERMV7tatmyJhIQEtG/fXuwodYpCoRA7AhGBLWZERBq99957GDNmjOoHy5YtWxAbG4vIyEhERUWJnI6oatzd3SGVSvHHH38gJSVF7Di1xsrKCqmpqWLHqHNMTU3FjkBEYIsZEVEp//77L77//ntoaWnhl19+Qb9+/TBlyhRMmjQJ7u7uYscjqjI9PT1MmDABERERCA4OxsiRI1UT2jRkjx8/RpMmTcSOUec4ODiIHYGIwBYzIiI1x44dQ0ZGBrS0tFBSUoLNmzfDw8MDAQEBWLt2rdjxiKqVh4cHRo8ejR07diAuLk7sODUuJiYGjo6OYseoc7S0tMSOQERgYUZEjVxRURHGjx8PS0tLuLq6IjAwEHPmzEFJSQmAp9Ph//zzzzhy5IjISYlqRqtWrTBq1Chs27YN9+/fFztOjVIoFLh06RKuXbuGpKQkZGZmQi6Xix2LiAgAuzISUSOWmJgIV1dXaGlp4fXXX0d4eDgWLlyIefPmQaFQ4N69e2jZsmWjuxkvNT6Ojo4ICgrCtm3b4O/vDx8fH7Ej1YhJkybhxo0biImJwYULF5Cbm4vc3FxIpVLVDKtGRkYwMzODqakpvL29YW9vL3JqImos+GuDiBolhUKBTp06wd7eHtevXy817b1UKoWTk5NI6YhqX5s2bTB79mysWLECLi4uMDc3FztStTMwMICXlxe8vLxUywRBQFFREYCn54Xc3FxkZmbi1q1bOH/+PMaMGSNWXCJqZFiYEVGjtGzZMqSlpeHu3bu8FxnR/2dmZgYzMzNkZWU1yMJME4lEAj09PdW/DQwMYG1tDQA4c+aMWLGIqBHirxEiapQuX76Mli1bwtDQUOwoRHVKRkYGTExMxI4huidPnqgKNCKi2sDCjIgapezsbBgYGIgdg6jOcXNza/T36hMEAdevX0eLFi3EjkJEjQi7MhJRo5SdnQ0jIyOxYxCJRhAE3Lt3Dw8ePIC1tTVcXFwgkUjg6emJbdu2wdvbG/r6+mLHrDWCICAmJgZ37tzBw4cPAYD3LSSiWsXCjIgapZycHBZm1GhlZ2fj33//RUZGBmQyGU6fPo07d+5g8ODBsLe3R+vWrXHmzBkEBgaKHbVWZGVlYf/+/UhNTUWnTp3g7OyMVq1acfwpEdUqFmZE1CjJZDLs3LkTCoWCP76owcjNzX3pBYe0tDSsWbMGXl5eGDduHLS0tFBYWIilS5eiQ4cOcHBwQIsWLXDr1q1aSi2epKQkXLhwAbdu3ULnzp0xatQo3h6DiETDsw8RNUp//PEHNm/ejDfeeAO//fab2HGIquzWrVvYuHEjnJycMGbMGOjq6pZaJycnB+vWrUNAQAA6deqkWq6np4e+ffti7969mDt3LnR0dJCamgq5XN6gChWFQoGwsDBcvXoVGRkZ0NXVRZcuXTBw4MBG1W2TiOomXiYmokZJV1cX//nPf7B27VqxoxBVi5CQEAQFBUFHRwfnz58v9bhcLsemTZvQoUMHtaJMyd3dHUZGRggNDUW7du1gaGiI6Ojo2ohea44dO4aoqCj0798fCxYswBtvvAE/Pz8WZURUJ7AwI6JGIS0tDb169YKjoyM+/PBDZGVl4eHDh7CyshI7GlGVFRcX4/79+3BxcUG/fv0QGhqKzMxMtXUOHjwIU1NTdO/eXeM+JBIJBg0ahDNnziA7OxudOnXC5cuXayN+rYmKisKwYcNUt8qQSCRiRyIiUmFhRkQNmkKhwDvvvIMmTZogNjYW3t7eWLZsGczNzbFhwwa4urqKHZEaiaysLISFhSEiIgIZGRnVum9tbW3Y2dkhIiIC5ubm6NKlC3bv3o28vDykpqbi0KFDiIuLw/Dhw19YjFhZWcHb2xsHDx6Ei4sLHj9+jLS0tGrNKpbMzEzI5XJejCGiOqvhdBwnItJgzpw5CA4OxnfffYe33npLtTwsLAzfffcdFi5cKGI6asiSk5Px6NEjXLt2DdnZ2cjJyYGzszOKi4tx8OBB2NrawsrKqswxXIIgVOj59PX1ceTIEbi6uqJbt27Yu3cvFi9eDAMDA8hkMkyZMgV6enov3Y+/vz+WLVuGu3fvwsPDA1euXEHv3r0rlKUuun37NhwdHdlKRkR1FgszImqwMjIysGbNGixZsgTz5s1Te8zb2xvbt28XKRk1Brt374a+vj68vb1hY2MDMzMzVWFUXFyM2NhY5OTkoKSkpErPoyw0TExM0KpVK2hpaUFLSwvDhg3DsGHDKrw/HR0d9O3bF6dPn8aQIUOwYcOGBlGY3bx5Ex06dBA7BhFRmViYEVGD9cknnwAAhgwZInISaowUCgUGDBiApk2blnpMR0cH7dq1EyFV+chkMvz7778wMDBAdnY2SkpKoKWlJXasSnvy5Ani4+MxatQosaMQEZWJY8yIqMH67LPPIJPJ4OjoiNWrV4sdh6je0NLSgomJCfLy8tCqVStcu3ZN7EiV9vjxY6xduxYDBw4sV1dOIiKxsDAjogbL2toa0dHReOONNzBz5kzcu3dP7EjUiAiCUK/HM0kkEgiCAE9PT8TGxoodp1Kio6OxZs0a9OnTh90YiajOY1dGImrwfvjhB2zZsgVTp07F0aNHNd54l6i6NZTCzNHREfv27UNRUVGd/uzk5ORg3759ePz4MXR1dZGXlweJRIIJEybAzs5O7HhERC/FwoyIGrxHjx7B3d0dly9fxqpVqzB+/HiYm5uLHYsagYZQmBkbG8PJyQmXL1+Gj4+P2LE0ysvLQ3BwMNq2bYuePXuiuLgYhoaGMDU1rddj44iocWFXRiJq0LZv346mTZviyJEjSEtLQ/v27bFx40YUFxeLHY0auIpOd1/XPDvhh5ubG+7evStyIs0yMzPx999/w8XFBX369EGTJk1gZ2cHCwsLFmVEVK+wxYyIGjTlNPkmJibIzMxE165d8ejRI6xduxa9e/dGq1at6nWrBtVd9b0ro1wuV91jraCgAAYGBiInekoQBCQkJCAhIQElJSUIDQ1Ft27d6mxrHhFRebEwI6IGbdq0afj999+Rnp6OJUuWQCKRYPjw4YiKisLevXthZGSEvn37wt7eXuyo1MDU98KspKQESUlJiImJwfXr1xEfH4+AgABYWVmJkkcQBNy8eRMnT56EXC5H27ZtIQgCJk2aBFtbW1EyERFVJxZmRNTgHDhwAEuWLMHZs2eRnZ0Ne3t7vPbaa5g/fz4AQCqVwsPDA+7u7oiMjMSmTZvQrVs3dOnSpV7/kCaqTu3bt8e5c+fQokUL+Pr6ws3NDatXr8b48eNrfTKNhw8fYu/evZDL5ejduzfatm3LzyoRNTgszIioXrt16xb++ecfnD59GlFRUXjw4AFKSkrg4uKCd999FwsXLoSpqanGbaVSKTp06IAWLVpg69atiI+Px7Bhw3ivI6oWgiDg9u3bsLKygrW1NTIyMmBoaAgzMzPo6OgAeNpdUPn/65o+ffqgT58+asusra2xceNGBAUFoU2bNrWS4+bNm/j333/Rp08feHp6siAjogaLhRkR1Ut37tzB0KFDER0dDTMzM7Rq1Qo9e/ZE//79MWLECNXYmPKwsLDAzJkzcfDgQaxYsQKDBg2Ck5NTDaanxsDCwgKxsbHIy8tDVlYWLCwsVP9fX18fenp6yMjIgIuLCwYOHAhDQ0OxI7+Us7Mzxo0bhy1btiAwMLDG7w2WmpqKf//9FxMnTuSU90TU4LEwI6J6ISMjA3369EF+fj4MDAxw5coVtGvXDnfv3oWjo2OV96+trY3BgwcjJiYGe/fuRbNmzdC7d29YW1tXQ3pqjKZOnVrmY8nJyZDL5WjatCkOHz6MnTt3YuLEifWiNcjBwQFTp07Fhg0bkJ2dja5du1Y4d2JiIq5cuQKFQoEuXbqgWbNmpdZ58uQJgoODERgYyKKMiBoFTpdPRHVeWFgY2rZtiwcPHqB9+/awtLTE+vXrERERUS1F2bOcnZ3x+uuvw87ODqtXr8a2bduQnJxc76c+p7rF1tYWDg4O0NXVxYABA5CRkYF79+6JHavcbGxsMGPGDERGRuLgwYPl/nykp6dj3bp12L59OywtLWFtbY3169fj1KlTauvFxMRgzZo16N27Nzw9PWviEIiI6hy2mBFRnXTu3Dns2LEDJ0+exNWrV+Hn54eDBw/C2Ni4xp9bW1sb/v7+6Ny5M8LDw7F582bo6emhffv2aN++PYyNjZGdnQ0TE5MKdZkk0kRLSwu9evXCnj178Prrr9eb95SpqSmmT5+OzZs3Y/v27QgKCiozuyAICAsLw8mTJ9G1a1dMnDgRUunTa8MdO3bE0qVLVRdd9u/fj9u3b2PUqFFo1apVLR4REZG46sfZn4galWnTpiE4OBhNmzaFi4sLTp48iYCAgFrPoaurCz8/P/j6+iIhIQERERFYuXIlCgsLoa+vD1tbW0yaNKnWc1HD4+bmhn379qGgoKBWLj5UF319fUyaNAk7d+7EmjVrMHz4cFX3X0EQkJubi6SkJISFhSEnJwczZ84sNd2+kZERmjRpgpSUFGRmZiI2NhavvfYadHV1xTgkIiLRsDAjojpn/fr1WLlyJWbNmiV2FACARCJBixYt0KJFCwwcOBASiQQKhQJLlizBgwcPOP6FKiQtLQ1yuRxNmjRRLRMEAXK5HFpaWiImqxxtbW2MHj0aYWFhWLVqFZo1a4aCggJkZmYCAJo0aQI3Nzd4eXlpbFFLT0/HkydP0KpVK/z5558YMGAAizIiapRYmBFRnWNoaIjc3FyxY2ik7H6lpaWFbt26YevWrejRowfc3Nw4zT6VKTs7GykpKTh16hTS09MBAB4eHggMDIREIkFhYSGKi4vrTTfG50kkEnTu3Bnt27fHgwcPYGhoCFNTUxgZGb10YpD8/HwAwJYtW2Bvbw9nZ+faiExEVOfUz28AImrQmjZtiitXrogd46VeeeUVWFhY4MKFC9i3bx969eoFPz8/sWNRHVFcXIwHDx7g3LlzSExMhImJCQICAuDm5oaioiJs3rwZn3/+OVq0aKFqdX348CEcHBxETl55BgYGFb6/WdOmTdGrVy9oaWnB1dW1hpIREdV9LMyIqM5xdHREdHS02DHKpXXr1mjdujXi4+Nx4MABFmaNWHJyMo4dO4acnBzk5eUhLy8PNjY26NixI8aNG6fWTVFfXx9Tp06FXC7H5cuXUVxcjDFjxsDe3l7EIxCHlpYWXnnlFbFjEBGJjoUZEdU5fn5+WLJkidgxKqR58+Z48uQJiouLoaOjI3YcEsGDBw8glUoxdOhQVVc+ZddXTSQSCXR0dNClS5daTElERHUV72NGRHXO8OHDkZ6eDoVCIXaUctPW1oaNjQ0ePnxYLfvLzs5GVFQUcnJyqmV/VPPkcjksLS3RvHlzmJubv7AoIyIieh6/NYiozunYsSMkEgnCwsLEjlIhLVu2RGhoqGpyh8q6dOkSli9fjmvXrmHp0qXYs2cPUlNTqykl1ZT6OqsiERHVDezKSER1Vn37kdujRw8cOXIEf/31F/T09GBqago9PT1IJBL4+/uXa/xQSUkJDhw4gHnz5sHKygq5ubkIDQ3FqlWr4OjoiIEDB8LIyKgWjoYqSi6X19tZFYmISHz8BiGiOkehUEChUEAmk4kdpUL09PQwePBgDBw4EKmpqcjJyUFBQQFyc3OxdetWNGnSBO3bt0fr1q1hYmKC3NxcJCYmws7OTnVT4by8POjp6aluwmtkZIRevXrB398fp0+fxt9//43Zs2dDX19fzEMlDeRyOW+ZQERElcbCjIjqnPv37wMATE1NRU5SOVKpFDY2NrCxsVEt69ixI6KjoxEdHY1Dhw5BKpVCLpfDzMwMmZmZsLS0hL6+Pp48eaLxPk66urro06cPCgsLsX37dowbN46tM3WMXC5nayYREVUav9WJqM6JjY1tcDMbamtrw8PDAx4eHhAEAVlZWVAoFLCwsEBxcTFSUlJQWFgIExMTNGnSpMz99O/fHzt27MC2bdswevRoFmd1CLsyEhFRVXDyDyKqc/74448XFif1nUQigZmZGSwsLAAAOjo6sLe3h5OT00uPW0tLCyNHjoSuri6WL1+O2NhYyOXy2ohNL8HCjIiIqoLfIERUp8THx2P37t3YsWOH2FHqLGVxduvWLRw/fhxbt26Fubk57O3t0bt3b5iYmIgdsVEqKSlhYUZERJXGbxAiqlNGjx6NNm3aICgoSOwodV7btm3Rtm1blJSUIDU1FVFRUfjjjz8QGBiIDh06QCKRiB2xUeF0+UREVBUszIiozpgwYQIuXbqE8PBwsaPUK1paWmjSpAl69eoFNzc3/PPPP7h48SK8vLzg7u6O6OhonD59GqampujTpw9atGghduQGi8UwERFVFgszIhJdUVERRowYgYMHD+Lw4cPo2LGj2JHqnZycHFy9ehXW1taYPn064uLicPHiRaxcuRKOjo6YMmUK0tPTsWXLFnTv3h3e3t4sIoiIiOoQFmZEJKr4+Hi4ublBW1sbR48eRY8ePcSOVC/FxcXh6NGjMDc3R15eHhQKBXR1deHr64vhw4fDwsICdnZ2aN68ObZs2YI7d+7Ax8cHVlZW0NXV5X3RqoGhoSGePHkidgwiIqqnWJgRkWjkcjm8vb3RsmVLREZGQirlRLGV5erqij59+uD8+fMICAhAly5dNN5ywNLSErNnz8bFixdx/PhxpKeno6ioCHPmzIG1tbUIyRuOLl26YO3atWjZsiW7ixIRUYXxVxARiSYwMBD5+fkIDQ1lUVZFWlpa8Pf3x4wZM3DhwgVkZGSUua62tjb8/Pwwc+ZMvP322/Dz88OpU6egUChqL3AD1KRJE4wYMQJbtmxBfHy82HGIiKie4S8hIhLFJ598gtOnT+Ps2bMwNjYWO06DYW1tjfbt2+Pq1avl3qZLly7IzMzEypUrcf36dQiCUHMBGzgnJyeMGDECmzdvRkhICF9LIiIqNxZmRCSK5cuXY+7cufDw8BA7SoPTpUsXXL58Gbm5ueVa38DAANOnT0fPnj1x9uxZ7N69m61nVeDk5IRZs2bh5s2b2LBhAwoLC8WORERE9QALMyISRZs2bXDhwgWxYzRI5ubm6NKlC4KDg8tdnEkkEjg7O2P69OnIysrCrl27WJxVgaWlJaZOnQozMzOsWrUKV69ehVwuFzsWERHVYSzMiEgUf/zxB65evYqTJ0+KHaVB6t69O1xcXLB69WqkpqaWeztdXV2MHz8e+fn52LlzJ7viVYFUKsXgwYPRq1cvREREYO3atSx2iYioTCzMiEgUBgYGMDQ0xMiRI3H58mWx4zQ4EokEPXv2RJcuXfD3339XqCDQ0dHBuHHjkJGRwVbNKpJIJHBxccHkyZMhCAJu374tdiQiIqqjWJgRkSiGDx+OvLw8pKWl4ZVXXoGXl5fYkRqkdu3aQS6XV7jlS1tbG8OHD8fZs2dRUlJSQ+kaD4lEAplMhri4OLGjEBFRHcX7mBFRrQsLC0NMTAxiYmJw+/ZtREZGYtiwYWLHapASExNhb28PLS2tCm9rbW0Na2trxMTEwM3NrQbSNS6CILBrKBERlYmFGRHVuh9++AGtW7dG27Zt0bZtWwwYMEDsSA1WSUkJtLUrf6pv3749bt68ycKsGsTExKB3795ixyAiojqKXRmJqNYdP36cLWS1xMLCAunp6ZXe3tnZGbdu3UJOTk41pmqc2rRpg/DwcLFjEBFRHcXCjIhq1ZdffonU1FQsWrRI7CiNgrIwq2wXOhMTE5ibm+Px48fVnKzx8fPzw927d8t9CwMiImpcWJgRUY27c+cOpkyZAgsLC/z3v//FL7/8Ant7e7FjNWhJSUm4desW9PT0oKenh+zs7Ervy9PTE8ePH+ckIFWkr68PZ2dnXL16VewoRERUB3GMGRHVmCdPnqBjx4548OAB7OzsMHv2bHz44YcwNzcXO1qDd/jwYcTFxaF58+bIycmp0s2Nvb29cevWLWzZsgV+fn5wcHCo1GQiBPj7+yM4OBjFxcXo3r07JBKJ2JGIiKiOYGFGRDVm1KhRKCkpQUJCAlvIapFcLkdycjIWLVqErKwsGBkZwdLSstL7k0gkGD16NMLDw3Hw4EGkpaWhZcuWGDp0KExMTKoxecPXpEkTvPrqq1ixYgXc3NzQpEkTsSMREVEdwcKMiGpEVlYWTp06hTNnzrAoq2WJiYmwtraGmZkZzMzMqmWfurq68PPzg5+fH/Lz8xESEoLg4GCMGDECtra21fIcjYWxsTF0dXU5dT4REanhGDMiqhHGxsYwMDDA2bNnxY7S6Ny9exetW7eusf0bGBigV69e6NKlCzZu3IiQkJAae66Gqk2bNggLCxM7BhER1SEszIioRkilUgwfPhxLly4VO0qjc+/evRotzJQ6deqEWbNmISQkBHv37sW5c+dw48YNKBSKGn/u+s7Pzw/R0dFixyAiojqEhRkR1Zjvv/8eSUlJiIiIEDtKo1FYWIiUlBQ4ODjUyvOZmZlh9uzZMDU1RU5ODs6dO4dVq1ahqKioVp6/vkpJSeH4MiIiUsPCjIhqjL29PVq0aIGffvpJ7CiNRlxcHOzt7aGtXXtDiE1MTBAQEIB+/fph5syZsLGxwYEDB2rt+eujjIwMWFtbix2DiIjqEBZmRFSjOnbsiMuXL4sdo9Go6fFlLyORSDBgwADcuHGjSvdOa+hycnI4oyUREalhYUZENUpHR4c3Jq5FYhdmAKCnp4dOnTph8+bNKCgoEDVLXZWVlcXCjIiI1LAwI6IadffuXTg6Ooodo1HIzs5GTk4OmjVrJnYU9O7dG2ZmZrh69arYUeqkpKSkOvF3IiKiuoOFGRHVqKSkJLi5uYkdo1G4cOECWrduDalU/FO7RCKBm5sb7t69K3aUOqewsBAZGRlo2rSp2FGIiKgOEf/bm4gatPT0dHTq1EnsGA1eaGgobt68iYEDB4odRYUzD2qmbC3T0tISOwoREdUhLMyIqEYpFAoUFhaKHaNBi4mJwdmzZzF58mQYGRmJHUfl8ePHMDc3FztGnZOUlITmzZuLHYOIiOoYFmZEVKN8fX3x888/ix2jwUpOTsbu3bsxbty4OlcE+fr64sSJE4iOjoYgCGLHqTMePnzI8WVERFRK7d3ohogapf/973/o1asXcnJyYGxsLHacBiUrKwubNm3C4MGDYWdnJ3acUlq2bIlx48Zhz549OHfuHExNTSEIArp37w5bW1ux44kmJSUFfn5+YscgIqI6hi1mRFSjevToAWNjY/z6669iR2lQioqKsGnTJnTu3LlOT67i4OCAefPmISAgAO7u7mjZsiV27NjRaFvQ5HI50tLSYGNjI3YUIiKqY9hiRkQ1ztzcHCkpKWLHaDAUCgV27NiBZs2aoWvXrmLHeSmJRAJnZ2fVv8PDw5GcnNwox1k9efIElpaW0Nbm1y8REaljixkR1TipVIri4mKxYzQYR44cQVFREQYPHgyJRCJ2nAqTyWS4deuW2DFE8fDhQ06TT0REGrEwI6Ial5+fD0tLS7FjNAhhYWG4desWxowZU2+nW5fJZIiNjRU7hihSUlJYmBERkUYszIioRhUVFSE7O7tKk1PMmTMHhw4dqsZU9dPt27dx6tQpTJgwAQYGBmLHqTQHBwc8fvy4Ud5GgYUZERGVhYUZEdWYHTt2wMrKCrq6uhgxYkSl9rFp0yb8+eef+Oyzz6o5Xf3y4MED7Nq1C2PGjKn3rY8FBQXQ0tKqsQlABEFAdnZ2nZtgRBAETpVPRERl4uhjIqp2aWlp6NixIxITEzF27FisW7eu0pMdLFmyBMDTVpbGSBAEhIaG4vTp0xg6dChatGghdqQqi4iIgKurK/T19at931lZWdiwYQMyMjJgbGyMDh06oEOHDjAzM3vptoWFhcjOzoaVlVWNjN3LyckBAN42goiINGJhRkTVrqCgAAkJCbh06RK8vLyqtC9DQ0MAT39wNzZ5eXnYvXs3cnJyMHv2bFhYWIgdqVpkZGTA2tq62veblpaGdevWwdvbG76+vnjw4AGuXbuGFStWoH379ujXrx+kUvWOIgqFAhcuXEBsbCySk5NhYGAAqVSK/v37QyaTVWs+ZTfG+jhhCxER1TwWZkRU7Zo3bw43Nzf07t0bly9fhqOjY6X3ZWJiAgB49OhRdcWrF+Li4rBz5064u7vX64k+NGndujX27t2LoqIidOjQoUoFpyAISEtLQ3p6Onbv3o3u3bujU6dOAAB7e3vY29ujd+/e2Lp1K37//Xf07NkT7u7uKC4uxsOHD3Hq1CmUlJTA398f9vb20NfXx+3bt3HgwAGEh4ejf//+1dZ1lN0YiYjoRViYEVGNuHLlCnx9fSGTydC3b18sXLgQ/fr1K9e2CoUCY8eORWBgIExNTQEAjx8/rsm4dYZCocCpU6dw6dIlDB8+HG3atBE7UrVzcXGBmZkZrly5gr/++gsuLi5qU/+XlJQgPDwcSUlJaNu2LZydnaGjo1NqP2lpadi/fz9SUlJgYGCAoUOHom3btqXW09fXx+TJkxEfH4/du3dj+/bt0NLSQtOmTSGTyRAQEKDWktamTRu89tpruHDhAv766y8MHDgQ7u7uVT7ulJQUODk5VXk/RETUMLEwI6Iaoauri0uXLuGHH37AmjVrMHDgQJiZmSEqKuqlNxaePn06tm/fjqysLDg7O8Pc3BxJSUnYu3cvBg8eXEtHUPsyMjKwY8cO6Orq4tVXX23QY5FsbW1ha2uLwMBABAcHY/ny5TAyMkJeXh7S09PRsmVLtG3bFleuXMHevXvh5OSkms0xNTUV6enpkMvl6Ny5M8aPH//SFkWJRIKWLVti4cKFqklBXtSlUEtLC127dkWbNm0QHByM2NhYODs7w83NrdJdEVNSUuDn51epbYmIqOGTCHVt2iqiRigxMRG9e/fGsWPHYG9vL3acGiGXy9GhQwfEx8cjKioKLVu21Ljeo0ePYGtrC0EQ8PHHH+PEiRPIz89Hq1atcPz4cTx58qTUOKGG4Pr169i/fz/8/Pzg5+fXqMYhKRQKJCUloaioCAYGBrCwsFCbGCQ3NxcxMTF48OABmjRpAhsbG5ibm8PCwqJWXqf09HTExcUhNDQUAODl5QVPT0+NrXhlkcvl+Pbbb/H+++9XeiIcoprSGL6DiOoDfjsQUa3Q1tZGZGQkPD094ebmhoiIiFLduhQKBQYNGgQ7Ozs8evQIbdq0wTfffIPg4GAEBQXB0NAQERER6NixozgHUQOKiopw8OBBxMXFYcKECVW631t9JZVKX/hj0MjICF5eXlWeSKayLCwsYGFhgY4dO+Lu3bu4ePEiLl68CH9/f7i5uUFXV/el+3j8+DEsLS1ZlBERUZka3mVnIqqzpFIprly5AldXV7Rv3x4xMTGqx3JycuDq6oqoqCj8888/0NXVxdSpU9G0aVOMHTsW+vr6MDQ0xMmTJ8U7gGoiCAKSkpJw4MAB/PrrrygpKcHcuXMbZVFWn0gkEjg5OWH8+PEIDAxEZGQk1q9fj4KCgpduyxtLExHRy/DSHRHVKqlUqmptcHd3x0cffYRPP/0Unp6eyM7Oxr1795CQkICNGzeiuLgYQUFBAIBz584hLy9P9e/6KCMjA5GRkYiIiIBcLoeHhwdmzJgBKysrsaNRBTk7O0Mmk+HgwYNYvHgxnJ2d0a5duzKn2OeMjERE9DIszIio1kmlUpw/fx7//e9/8e233+Lbb79FUVERgoOD0aFDBzx+/BhaWlpQKBSYMmUKVq1ahXnz5sHb27vMsWl1VUFBAaKjoxEREYGUlBS0a9cOQ4YMgYODQ6MaR9YQSSQSDBgwAN26dUN0dDT27NmD0aNHa7wJeEpKSoOcYZOIiKoPCzMiEs1///tffPrpp1i8eDFu3bqFKVOmIDAwEFu2bIG5uTl69uyJNWvWYNy4cYiKisLly5fFjlwuJSUluH37NiIiInD79m20bt0aXbp0Qdu2bTnGqAEyNjZG586dcfPmTaSlpZUqzARBYFdGIiJ6Kf5CICJRSaVSvPnmm3B0dETv3r1x6NAh7NixAz/++CMuXryIdevW4Y8//oCjo2OdnvRDEATVjJPR0dGwsrKCh4cHBg8eDAMDA7HjUQ27ceMGsrKyNN7vLDs7GxKJpEHf/oCIiKqOhRkR1QmJiYlYtmwZoqKiMGrUKLzyyis4duwYevTogfnz52PBggViRyxFOYlHVFQUrl+/DgMDA7i7u2PWrFmwsLAQOx7VkoKCAuzfvx+jR4/W2CKqbC1j11UiInoRFmZEJLq0tDTI5XL07NkTr732Guzt7REeHg7gaUtEZmYm3nrrLZFTPiUIAh49eqQqxgCgffv2mDRpEpo0aSJyOhLD4cOH4eLionFsGcAZGYmIqHxYmBGR6K5evQoAWLZsGf755x+MGTNG9dj3338POzs7mJubixPuGfHx8di7dy8KCwvh7u6OUaNGwdbWli0hjdi9e/dw+/ZtvP7662Wuk5KSUuqefURERM9jYUZEovPx8YGLiws+//xzGBgY4Ouvv1Y9tn//fowaNUrEdE9dv34d+/fvx5AhQ+Ds7MxijFBcXIw9e/Zg0KBB0NPTK3O9hw8fomvXrrWYjIiI6iMWZkQkOkNDQ9y4caPU8oiICDx69AjvvfeeCKn+T1JSEvbv34/JkyfzXlSkcurUKdja2sLZ2bnMdeRyOdLT02FtbV2LyYiIqD6Sih2AiEgTuVyO/v37w8fHp8yxO7UhJycHW7ZswZAhQ1iUkcrDhw9x5coVDBgw4IXrPX78GJaWlrxNAhERvRQLMyKqc/Ly8tCpUyfk5ORg3759ouUoKSnB1q1b4enpCRcXF9FyUN2iUCjw77//ok+fPi+dAv/hw4cs6ImIqFxYmBFRnbJ//35YWVkhMTERV65cgaWlpWhZDh8+DAMDA3Tv3l20DFT3XLhwAXp6euW6rx5nZCQiovJiYUZEdcLu3bvh5+eHwYMHY/To0Xj06JGoM9ldvnwZt2/fRlBQECf6IJX09HScPXsWQ4YMKdf7goUZERGVFwszIhLVpk2bYGxsjBEjRkAul2PXrl0IDg6GVFr7p6f79+9j7969SElJwdGjRzFixAjo6+vXeg6qmwRBwJ49e9C1a9dyteQKgoCHDx+yMCMionLhaGQiEsX9+/cxZMgQXL9+HYGBgRg2bBjmzZsnaqYLFy6goKAA69evR/PmzXHz5k3Y2dmJmonqjmvXriE/Px++vr7lWj87OxtSqfSl49CIiIgAtpgRkQiWL1+O1q1bo6SkBLGxsfjnn3+Qnp6OvLw80TKVlJTg3r17GDFiBOzs7HD79m1OcU4qOTk5OHLkCIYOHVru1lxlN0Z2hSUiovJgixkR1aoffvgB7733Hr744gt89NFHquWOjo64e/cu3N3dRckVFxcHa2trmJiYYMyYMSgpKYGOjo4oWajuOXjwIDp27AhbW9tyb8PxZUREVBFsMSOiWvPhhx/ivffew2+//aZWlAGAg4MDYmJiREr2tDBTTjYilUpZlJFKbGwskpKS0KNHjwptx6nyiYioIliYEVGNu3XrFmQyGb7//nusXr0a8+fPL7WOo6MjUlNTRUj3VF5eHgwMDER7fqqbCgsLsXfvXgwZMqTCxTpbzIiIqCJYmBFRjdq0aRNcXFxgYGCA+Ph4TJ06VeN6hYWF0NLSquV0/+fGjRto06aNaM9PddOxY8fg5OQER0fHCm0nl8uRnp7OcYpERFRuLMyIqMYUFBRg5syZmD59Oq5du4bmzZu/cH1BEGopmbrc3FwUFxdz9jxSk5mZiYsXL8Lc3BxFRUVqjz1+/BiZmZllbvv48WNYWlpCW5tDuYmIqHz4jUFENWb8+PHQ19fHypUrX7puy5YtkZGRgUePHqFJkya1kO7//Pvvv/Dx8eE9y0iNqakppkyZgvDwcCxevBgdO3ZE8+bNERMTg7i4OJSUlKBnz57o1KlTqZkXOb6MiIgqioUZEdWIpUuXYvfu3di3b1+5phfPzc2FkZERHjx4UKuFWUZGBhISEjBmzJhae06qHyQSCVq3bo3WrVsjIyMDYWFhuH79OhwcHDB48GBkZWVhx44dAABvb2+1bTm+jIiIKoqFGRFVu9WrV2PhwoX4+uuvMWDAAI3ryOVy3Lp1C3Z2digpKcFff/0FLy8vtG/fvtZyCoKAU6dOwdXVVdTxbVT3mZubIzAwUG2ZjY0NAgMDcfToUY2FGccsEhFRRbAwI6JqtWnTJsycORMff/wx3n//fY3rCIKAP//8E7q6unjy5AmKiorQu3dv+Pn51WrWu3fvIjExETNmzKjV56WGw9HREfn5+bh//z5atmwJ4On7m10ZiYiooliYEVG12b17NyZNmoS33noLn3/+eZnrJScnQy6XY968eVAoFJDL5dDV1a3FpE/Fxsaiffv2nCafKk0qlaJfv37YsmULunfvjs6dOyM7OxtSqZSTyRARUYWwMCOianHo0CGMGDECr776Kn744YcXrmtpaYmsrCyUlJRAS0tLlKJMEARER0eXOX0/UW5uLtLS0mBgYAA9PT0IgoDs7GykpaXBxsZG1SLm6uoKGxsb7Ny5EykpKXB2dub4MiIiqjAWZkRUZadPn8agQYMwZcoU/P777y9dX19fH1ZWVjhy5AisrKzg7OwMU1PTWkj6f2JiYmBsbMz7TFEpJSUl2Lt3L27cuAErKyvk5+ejqKgIEokExsbGsLCwwMGDB9G3b1906NABAGBtbY1p06Zh48aNOHjwIFxdXUU+CiIiqm9YmBFRlWRlZSEwMBAjRozA6tWry73d2LFjcebMGezbtw82Nja1WpgJgoAzZ84gICCg1p6T6gdBELBz507I5XK8+eabZbbmpqSkIDg4GE2aNIGtrS0EQYCuri5GjhyJzz77rMxJb4iIiMrCwoyIqmTcuHGwsLDA1q1bK7Sd8qa9nTt3RqtWrSAIAk6cOIHY2Fi0aNECvr6+sLCwqJHMSUlJyMvLg4uLS43sn+on5SydqampmDVr1gtvDt20aVP0798f69evh5GREdLS0tC6dWt4enrC2toaLVq0qMXkRETUELAwI6IqOXXq1EvHlGly+fJlPHr0CLNnz4YgCDhw4ABSUlIwcOBA3L59G3/++Sd8fX3h6+v7wh/IlXHv3j24uLiUuikwNR6CICAxMREFBQXIycnBgwcPkJCQAEEQMGXKlHK959q3b4/WrVsjOzsbZmZmuHTpEsLDwzFw4EDerJyIiCqMhRkRVZpCoUBeXl6lum1dvHgRXbt2RUFBAU6cOIEHDx5g+vTp0NfXR4sWLeDl5YWDBw/i119/hY+PD7y9vaGrqwtBEFBcXFylCUOMjY1x586dSm9P9Y8gCIiPj0dCQgKysrJw9+5dSCQSmJmZwdDQEHZ2dujYsSNsbW0rdE87IyMjGBkZAQD8/f3h7+9fU4dAREQNHAszIqq0q1evQiKRwNHRscLb9uzZE/v27UNBQQE6deqEqVOnqrUymJubY9y4cUhJScHp06exdOlS6OnpITMzEwDQt29fvPLKK5Vq9ZLJZNi7dy8EQWCrWQOTnZ2NpKQkZGdnIycnB1lZWcjMzMSTJ0+gq6uLtm3bwsrKCu3atUOLFi349yciojqDhRkRVdrJkydhYmJSqW1dXFzg7OwMhULxwhaKpk2bYvTo0UhJSQHwtGDLzs7Gzp07cePGDUyaNKnCP65v3boFJycn/ihvQLKysnDmzBlERUXBwcEBJiYmMDY2RvPmzeHm5gZzc3NYWVnxb05ERHUWCzMiqrSwsDA0b9680ttLJJJydxt79r5Qenp6mDVrFn788Ufk5uaW+0a+xcXFOHPmDMLCwjB8+PDKRKY6RhAEhIeH48SJE+jYsSPmz5+v6lpIRERUn7AwI6JKu3nzJtq0aSPKc0ulUpiamiIrK6tchdm9e/ewe/du2NvbY968ebV+3zSqfk+ePMG+fftQVFSEGTNm8J50RERUr7EwI6JKMzMzQ2xsrGjPb2dnh9jY2Je22iUlJWH79u0ICgoSrZCk6qNs+QwPD0dAQAA6d+4MqVQqdiwiIqIq4TcZEVXa6tWrcevWLWzZskWU5/fz88PFixeRl5f3wvXCw8PRtWtXFmX1XG5uLo4cOYJff/0VaWlpmDdvHnx8fFiUERFRg8BvMyKqNEdHR8yfPx+TJk0SZfp5KysreHl5YceOHVAoFGWuJ5VK+eO9nsvOzsbq1atRWFiIadOmYdSoUZWeeIaIiKgu4i8VIqqS3377DR06dICvr+8Li6Oa0qtXL8jlcpw6dUrj46dPn0ZERAQsLS1rORlVl6ysLKxZswYdOnTA4MGDOZaMiIgaJBZmRFRlp0+fRlZWFj744INaf26pVIrRo0fjypUr2LdvH65du4Zbt26hqKgIKSkpCA0NxYIFCyCTyWo9G1XdvXv38Oeff+KVV15Bt27dxI5DRERUYzj5BxFVmaGhIT7//HN89NFH+OCDD2Bubl6rz29sbIw5c+YgLCwMd+7cQVZWFrZv3w6pVIr+/fuzy1s9pFAocP78eVy4cAFBQUFwcnISOxIREVGNYmFGRNVi4cKF+OCDD7B7925MnTq11p/f2NgYPXv2VP27sLAQxcXF5b7HGYlPEASkpqYiOTkZISEh0NXVxezZs2FmZiZ2NCIiohrHwoyIqsXChQthamqKyZMnix0FwNObUOvp6Ykdg8opJiYG+/fvh0QiQfPmzdGlSxd4eHhAIpGIHY2IiKhWsDAjompx7Ngx9OrVi7MfUoUJgoB//vkHo0ePRuvWrcWOQ0REJAr+giKiajF27Fj8+++/uH//vthRqJ6RSCTQ0tLizJlERNSosTAjomrx9ddfw9XVFd26dRNl2nyqv3JyciCXyzmWjIiIGjUWZkRUbU6fPo3Hjx9jxowZYkeheuTBgwews7PjeDIiImrUWJgRUbUxNzfHtm3bEBwcjL1794odh+qJBw8ewN7eXuwYREREomJhRkTVavDgwZg8eTJGjx6NjIwMseNQPaBsMSMiImrMWJgRUbVbvXo1DA0N8e6774odheqB5ORk2Nraih2DiIhIVCzMiKjaSaVSzJw5E1u3bhU7CtVxRUVFvBE4ERERWJgRUQ359NNPkZWVhZMnT4odheqwR48ewdLSkhN/EBFRo8fCjIhqhLGxMczMzHD58mWxo1AddubMGXh4eIgdg4iISHQszIioxgiCAKmUpxnS7O7du3j06BG6dOkidhQiIiLR8RcTEVWb3bt3480330RBQQHOnj2LrKwsBAQEiB2L6iC5XI6DBw+ib9++0NbWFjsOERGR6PhtSETV4ocffsB7770HIyMjLFmyBAqFAn379oWXl5fY0agOOnPmDCwsLODi4iJ2FCIiojqBLWZEVC2++OILLFq0CNnZ2fjrr7+wa9cuHDx4UOxYVAc9fPgQ4eHhGDx4MCf9ICIi+v/YYkZE1SI/Px+dOnUCAEydOlXkNFSXHT16FD169ICJiYnYUYiIiOoMtpgRUbXo0KEDli1bJnYMquOSk5Px6NEjeHp6ih2FiIioTmFhRkTV4pNPPsG5c+fw7rvvih2F6rArV66gU6dOnPCDiIjoOSzMiKhaDBs2DMHBwfjpp5/g4eGB+Ph4sSNRHaSnp4esrCyxYxAREdU5LMyIqNpMmjQJN2/eRFFRERwdHfHmm29CoVCIHYvqkC5duiAqKgpFRUViRyEiIqpTWJgRUbVq27Ytbt68iSVLlmDZsmVo1qwZjh07JnYsqiOMjY3RokULREdHix2FiIioTmFhRkQ14rXXXkNaWho6deqEwMBAuLm5ITw8XOxYVAd4enriypUrYscgIiKqU1iYEVGNMTQ0xP79+xETEwMTExN07twZnTp1QkxMjNjRSEQymQzJyckoKCgQOwoREVGdwcKMiGpc27ZtERoaivDwcBQWFsLV1RU9evRAYmKi2NFIBFpaWtDT02NhRkRE9AwWZkRUa7y8vBAZGYnjx48jISEBLVq0wJAhQ5CWliZ2NKpFCQkJEAQBZmZmYkchIiKqM1iYEVGt69GjB+7cuYNdu3bh8uXLsLGxwcSJE5GXlyd2NKohxcXFuH37Ns6dO4fNmzdj8ODBkEgkYsciIiKqM1iYEZFohg0bhgcPHuDvv//GwYMHYWZmhtdee41TqTcwsbGxWLZsGU6fPo20tDRMmTIFLi4uYsciIiKqU7TFDkBENHXqVEydOhU///wzPvvsM2zYsAExMTFo1qyZ2NGoCrKysrBv3z48efIEgwcPhpOTk9iRiIiI6iy2mBFRnfHmm28iPT0dzZo1g6urK8ee1WNxcXFYuXIlbG1tMW/ePBZlREREL8EWMyKqU7S1tREZGQkXFxe4u7sjMTERUimvIdUXgiAgNDQUZ86cwYgRI1iQERERlRN/7RBRnaOrq4uIiAikp6djzpw5YsehchIEAXv27MG1a9cwe/ZsFmVEREQVwMKMiOokY2NjrF27Fn///TdOnz4tdhwqhxMnTuDx48eYMWMGzM3NxY5DRERUr7AwI6I6a8yYMRg5ciQCAwNx//59sePQC5SUlCA0NBRjxoyBjo6O2HGIiIjqHRZmRFSnbdu2DW5ubujYsSNycnLEjkNlePDgASwtLWFiYiJ2FCIionqJhRkR1XmhoaHQ19eHt7e32FGoDHfv3kXr1q3FjkFERFRvsTAjojpPV1cXV65cwa1bt/DDDz+IHYc0KCoqYhdGIiKiKmBhRkT1QrNmzfDxxx/jo48+4v3N6iAPDw9cvHiRfxsiIqJKYmFGRPXGf//7XzRt2hRDhgwROwo9p1mzZvD09MSlS5fEjkJERFQvsTAjonplz549CAkJwbFjx8SOQs+RyWS4e/eu2DGIiIjqJW2xAxARVUTHjh3h7OyM5cuXo3fv3mLHadSKi4sRFRWFJ0+e4ObNm8jMzETXrl3FjkVERFQvsTAjonqnW7du2L9/v9gxGr3IyEiEhITAyckJo0ePhpWVFScAISIiqiR2ZSSieuett95CUlISQkJCxI7SqJmYmMDY2Bj9+/dHs2bNWJQRERFVAQszIqp3nJ2d4evrixkzZogdpVFLTEyEkZGR2DGIiIgaBBZmRFQvBQcHIyYmBqdPnxY7SqOkUChw6tQptGnTRuwoREREDQILMyKql5ycnNCtWzfMmjVL7CiNklQqxbRp03Ds2DFcvHhR7DhERET1HgszIqq3goODcfv2bU6dL5JWrVph5syZOH/+PCIiIsSOQ0REVK+xMCOieqtly5bo2bMn5syZI3aURsvc3BwTJkzAoUOHsHbtWjx48EDsSERERPUSCzMiqtfWrl2Le/fucfp8ETVp0gT/+c9/0K5dO+zYsUPsOERERPUSCzMiqtfs7e0xdOhQjB8/HgUFBWLHabR0dXXV/peIiIgqhoUZEdV727dvh7a2Nl555RUUFRWJHadRys3NxYEDBzB48GCxoxAREdVLLMyIqN7T1tbG5cuX8fDhQ9jb2yMxMVHsSI2OgYEBHB0dcfr0aRQXF4sdh4iIqN5hYUZEDULLli2RkJCApk2bok2bNrh8+bLYkRoVqVSK8ePHQ09PD7t27YIgCGJHIiIiqldYmBFRg2FoaIjIyEgEBATAz88Pt27dEjtSo6KlpYVhw4bh8ePHuH37tthxiIiI6hUWZkTU4Bw+fBgdOnSAp6cnkpKSxI7TqGhra8Pf3x9hYWFiRyEiIqpXWJgRUYMUEhICBwcHvPLKK2JHaXSaNWuG5ORkTsRCRERUASzMiKhBkkqlCAsLw6NHj7B161ax4zQqTZs2haOjI86dOyd2FCIionqDhRkRNVjGxsYIDAzEBx98IHaURqdz5864ceMGJwEhIiIqJxZmRNSg/f7777h37x7Cw8PFjtKo2NjYQCqVYvv27cjLyxM7DhERUZ3HwoyIGjQnJyf4+/ujX79+HPNUi/T09DBz5kwYGxtjxYoViI+PFzsSERFRncbCjIgavMOHD0OhUCAwMFDsKI2Kjo4OBgwYgP79+2PTpk1IT08XOxIREVGdxcKMiBo8fX19nDp1CmfPnsWXX34pdpxGx9XVFebm5sjNzRU7ChERUZ3FwoyIGgUPDw8sXrwYn332GRITE8WO0+i0bNkSly9fFjsGERFRncXCjIgajQULFkBHR6dabn5cXFyMGzduIDQ0FOHh4YiPj+cMhC/Qs2dP3Lt3D/v37+dYPyIiIg20xQ5ARFSbdHV1q9RilpGRgZMnT+LsufMwNLWAvqEpBEGBrNQUGBnqo1fPHujSpQt0dHSqL3QDoKenhzlz5uDQoUNYuXIlZsyYAUNDQ7FjERER1RkszIioUWnbti02b96MBQsWVHjbuLg4LFu2HFYOMnTsMw5GZlaqxwRBQFpyHI6cOo+QC6F4/bV5LDyeY2BggOHDh+Po0aPYsmULJk+eDG1tfg0REREB7MpIRI3Mp59+igsXLqCgoKBC2z18+BBLf18Gp06BkHn3USvKAEAikcCquSM69BoDha4Zlv6+DMXFxdUZvcHo3bs3DAwMcPjwYbGjEBER1RkszIioURk2bBgMDQ3x1VdfVWi7TZu3wMHNB01atH3hehKJBG29+yCvGDh79mxVojZYEokEw4cPx+3bt3HlyhWx4xAREdUJLMyIqNEZNWoU/vzzz3Kv/+jRIyQkJMJO1qFc60skEji4dcbJU6c5IUgZ9PX1MWHCBBw7dgy3b98WOw4REZHoWJgRUYOzbds2ZGdnl/n4d999h0ePHuHIkSPl2t/Zs+dg6+QOLa3yj4eyaNoChcUluHv3brm3aWysra0xdOhQHD16VOwoREREomNhRkQNyp49e5CbmwsTE5My12nSpAn8/PywaNGicu0z+WEKTKxsK5RDIpHA1KoZHj16VKHtGhsrKyuOxSMiIgILM6IG7/z589i4caPGxyozM2FddufOHdy/fx/Tpk176brLli1DdHQ0bty48dJ15XI5JNKKny6lUi2UlJRUeLvGJC0tDdJKvLZEREQNDb8NiajBcHJywvz588u1roeHB9zd3TFy5MiXrmtqaoLC3LK7RpalMD8HRkZGFd6usUhPT8fu3bsxYMAAsaMQERGJjjeQISIAT1vPlixZUuayjIwMLF++HACQn5+P3NxcTJgwAa+88opq/bt37+L333+Hnp4eFAoFjIyM8Mknn6geDwsLw/bt26Grqwvg6b2/3nnnHZiZmSEsLAz//vsvjIyMkJ2dDW1tbbz55pswMzNTy/Pqq69iy5YtEAQBvXr1gqen50tzbdmyBWZmZrh27Rpyc3NRUFAAX19f7NmzB61bt8by5csxb968Ml+bTq94YcuO3XBw8Sr361mQm4WMx0lwdXUt9zaNSWFhITZt2oSAgAC0bt1a7DhERESiY2FGROWSl5eHGTNmoGnTpgCA4uJizJ07F7/88ouqeFq8eDG+++47GBgYAAAUCoVq+6ioKGzduhXffPON6qbChYWFqsf19PTwv//9T9Wt7datW/jiiy/w448/qmUIDQ3F559/rlqWlJT00lwAsGPHDvz888+qsWcfffQRunbtioULF2LRokWYPHkyjI2NNR57u3btULJpMzKfJMHMunm5Xq+kW9fQubM39PX1y7V+YyIIAnbt2gV7e3t4e3uLHYeIiKhOYGFG1Aj8+++/uHnzZqnlGRkZ5d5H8+bqBYmOjg6GDBmC8PBw9O7dGwBQUlKiVog8O3Zo8+bNWLRokaooA54WY0oeHh5q+2/btq1a4QYA2dnZGDNmTIVzAUCvXr3UJgTx8/PDtWvX8NNPP2HDhg0YPXo0Dhw4oPHYpVIpBg0aiL37D8AzcAJ09Q00rqeU9jAeSbevYfK777xwvcbqxIkTyMvLw+jRoyGRSMSOQ0REVCewMCNqBIYOHYoJEyaUWl7RyT9iYmKwd+9elJSUQFtbG3FxcQgICFA9Pm3aNLz33nvo3LkzAgIC0KRJE9Vjjx49KlVEPW/37t24efMmtLS0IJFIEBMTo/a4lZWVxlatl+UCShdw5ubmSEhIgFQqxc8//4wZM2ZAoVCUORGFf9euePToMS4e2QhXv8EwtWpaah2FQoGUuBu4fek45syepXb89FRaWhpOnz4NXV1dfP/991AoFJBIJJBKpZBKpTA0NETz5s1ha2uL5s2bw87OTq2YF0t+fj5u374Nd3d3FpNERFQjxP+2I6I669lpzO/du4d169bh448/VrWKHThwAFlZWap1vL294e3tjejoaGzcuBE5OTn46KOPyvVD9o8//kDr1q3x3nvvqZZFRUWpraPpB3p5cgEolUEikai6Wk6YMAHTpk3D7t27ERQUVGbGEUHDYW1lhX37d0HX0ARNHd2hb2QGQShBdmoKku9EwNLCHAsXzEerVq1eesyNkaWlJd5++21IJBJoaWlBKpVCEAQoFAooFApkZ2cjOTkZSUlJiIqKwpMnT9CyZUu0bt0a9vb2sLOzq/XC6OLFi9i/fz8AwNXVtU4UikRE1PDw24WIAABaWlqlliUkJKj+/9GjRzF27Fi1rooXL16Ei4tLqe3c3Nzg5uaGFStWIDIyEh4eHrCxsUFycjJsbTXfD+z69et49dVXVf8uLi7GtWvXXpq7IrnKIpVK0b59eyxduvSFhRkABAR0Q9eufoiMjERoWDjSH92BtpYWmjaxwajX56FFixblft7GqqyxfABgZGSEZs2awdPTE8DTlqo7d+4gLi4OFy9eRLNmzRAUFAQdHZ0az5mfn49jx47h9u3bcHR0RJs2bViUERFRjeF0+UQEALCxsUF8fLzq3zt27FDr1mdjY4N79+6p/p2QkIC0tDS1fWRmZqr9+/79+7CysgIAjBs3Dr/88ovafb0EQVD7d15enur/b9myBW3bti1X7pflKo9p06YhJCSkXOtqaWmhY8eOmDt7Ft55axEWvbEQEyeMZ1FWAwwMDODu7o7BgwfjtddeQ0FBAa5evVrjz5ueno4///wTAPDqq68iPz8fjo6ONf68RETUePHSHxEBAF577TV8++230NPTg0Qigb+/v1p3vCFDhuCLL75AeHg49PX1YWxsjKCgIKSkpKjW+emnn1BQUABDQ0Pk5+fDw8MDdnZ2AID27dtj5MiR+Pjjj6GnpwepVIrCwkK8/fbbsLCwwIIFC/Dhhx/C0tISUqkUfn5+5RqjVZ5c5TFv3jwsWrQIx48fR69evSq0LdUObW1t+Pv74/Dhw+jUqVONdWm8evUqDh8+jJ49e6pmjdTS0kJ+fn6NPB8REREASARBEMQOQdTYJSYmonfv3jh27Bjs7e3FjtNo+fv74/Hjx6UmHaG6QxAE/PTTT5g5cyYsLCyqff9Xr17FyZMnMWHCBLULA2fPnkV6ejqGDBlS7c9JT/+ukZGRiImJQevWrdXuQ0g1j99BRHUDW8yIiP6/devWwcnJCceOHVObap/qDolEAlNTU6SmplZ7YXbt2jUcPXoU06ZNg7W1tWq5IAi4d+8e3NzcqvX5GgNBEJCTk4PMzExkZGQgJycH+fn5yMvLQ0FBAdq1a4dWrVrhxIkTuH//Prp06YLjx4/DwsKCNx4nokaHhRkR0f/n6OiIgIAAzJ8/Hzdu3BA7DpXBz88Pu3btwvDhw8s1DvFlkpOTcfr0aTx+/BiTJ09WK8qApwVbfn4+OnToUOXnasgEQUBiYiJu3ryJpKQkZGZmIisrC3p6ejAzM4O5uTlMTExgYGAAGxsbaGtr4/jx48jIyEDLli0xbdo06OvrQ19fH8eOHWNhRkSNDgszIqJnfP755+jRowcKCgrUZnqkusPd3R1yuRyhoaFVLswiIyNx8OBB+Pv7IygoCLq6uqXWefz4Mdzc3Dgj43NKSkpw48YNPHz4EI8fP0ZCQgKMjY3h4uICf39/mJmZwczM7IUzaCpn33x2vKBMJsOuXbuQm5sLIyOjGj8OIqK6gt8yRETPCAgIgL6+PpYtW4Y333xT7DhUBqlUCgMDg0pvX1RUhEuXLiEkJARTp07lzcArQC6X48qVKzh79iysrKzQqlUreHh4YODAgTAzM6vQvjRN4JKTkwMdHR0YGhpWV2QionqBhRkR0XO6du2KNWvWsDCrw0pKSnDz5k0cPHiw1GPP/9gvKSlBfn4+CgoKUFBQgLy8PGRlZcHOzg7Tp09/6Vg1QRBq/abWddXjx4+xdetWmJubY/To0TUyUURxcTH09fX5mhNRo8PCjIjoOYsWLcKQIUMgl8vZfa2OatOmDfr06QNBEKBpcuFnl2lpacHAwEA1fklfXx+Wlpb821ZQVFQU9u/fj8DAQFUXxJpgaGiI3NxcFsRE1OjwW4mI6DkDBw6Erq4uvv76a3z66adixyENTExM0KVLl1p5rsZeIJSUlODQoUO4ffs2pkyZgmbNmtXo8xkaGkJfXx+pqamlJmIhImrIpGIHICKqi5Q33JbL5WJHIRJNZmYmVq9ejaysLMyZM6fGizIla2trpKam1spzERHVFSzMiIg0+OGHHyCRSPDuu++KHYVE1lhbzO7cuYM///wTrq6uGDt2bK3OUpqVlQVTU9Naez4iorqAhRkRkQZSqRSffPIJlixZgrS0NLHjENWK9PT/196dx0VZLuwDv2aYYR1WAXGGVVlEXBAVtygU3ALTwpSDmtqrZplmWZbam8fXt+zUOXVc2mxTy45r4oqvShKK+xaCKCK4sIns+zYzvz/6xSdyA2S4Z+D6/iUzz/Pc1/Cx8OK+n/spwu3bt7Fr1y5ER0djwoQJGDp0aJsW07y8PJSXl6NTp05tNiYRkT5gMSMieoB33nkHTk5OeOaZZ0RHIYE6woxZSUkJdu/ejW+++QYxMTFQKBSYO3cu3N3d2zSHVqtFTEwMgoOD7/tMOSKi9oybfxARPcSuXbvQv39/7N69mwWN2p3q6mrExMQgNTUVvXr1wvz582FiYiIsz6VLl1BZWYn+/fsLy0BEJAqLGRHRQwQEBGDChAmYOnUqCgoKuMV6B9ReZ8wyMjIQHR0NHx8fvP7668JnqGpqanDgwAFMnToVUikX9BBRx8P/8xERPcKPP/4ItVqNmTNnio5CArTHYnbq1Cn8/PPPCA8Pb3g8hGj5+fmwtrZGly5dREchIhKCxYyI6BGMjY3x7bffYuPGjUhOThYdh+ixXLp0CQkJCfiv//oveHl5iY7TQCaTQa1Wi45BRCQMixkRURNMmjQJAQEBGDt2rOgo1MYMfcasrq4OZWVl0Gq1KCgoQExMDCZPngwbGxvR0RqxtbVFcXExampqREchIhKCN0sQETXR3r174ezsjI8//hhvvfWW6DjURgytmGm1Wly4cAHnz5/HnTt3oNVqIZPJYGlpidraWjz11FPo3Lmz6Jj3MDY2houLC9LT0+Hr6ys6DhFRm2MxIyJqIicnJyxevBhLly7FrFmz9G7GgeiP7eZv3bqFkJAQuLm5QS6XAwAyMzMhkUigUqkEp3wwHx8fJCcns5gRUYfEpYxERM2wYsUKODg4cOv8DsSQZsxiY2ORm5uL6dOnw8vLC8bGxpBIJJBIJHBxcYGzs7Nef5ZevXohLS0NVVVVoqMQEbU5FjMiombatWsXjh07hpSUFNFRiBpcv34diYmJmDRpEkxNTUXHaREzMzN4enoiKSlJdBQiojbHpYxERM3Uv39/eHh4YPHixYiOjhYdh3Tsjxmz6upqmJiYPHTGqb6+vuEhyTKZDBYWFrCxsYG1tTWMjIxQX18PtVoNtVoNIyMjyOVyyGQyyOVyGBkZtThjWVkZoqOj8dxzz8HCwqLF19EHPXv2xNmzZzFgwADRUYiI2hSLGRFRC8yfPx9vv/02NBoNH4bbzlVXV2PPnj3Yt28ffHx88Nxzz93zoPHq6mpcuHABJ06cQOfOneHg4ID6+nrcvHkTxcXFKCkpgVqtxs2bN+Hh4QEzMzOo1WrU19ejvr4edXV1sLKygqOjIxwdHeHg4ABra2tYWVnB2tr6gX/HtFotrl+/jv3792PgwIHw8PBoi2+JTllZWaGiokJ0DCKiNsdiRkTUAvPmzcObb76Jbdu2YdKkSaLjkA7Z29vD09MT48ePx969e7Fx40aEhITA2toaBQUFSElJQXJyMjw9PREZGQmlUvnAa8XExECtViM8PLzR6xqNBoWFhcjLy8Pdu3eRmpqK0tJSlJSUAACefvpp+Pj4NBxfXl6O3377DYmJidBoNBgxYkS72TBDKpWiurpadAwiojbHYkZE1AJSqRQqlQqxsbEsZu1cSEhIw5+ff/55nD17FjExMaisrIStrS26deuGV155BZaWlo+8VnBwMNauXYsBAwY02rJeKpXC3t4e9vb295yTmpqK/fv3w8zMDOXl5UhNTcWVK1fg6+uLMWPGwM3NTa839Giu48ePo3fv3qJjEBG1ORYzIqIW8vDwwOXLl0XHoDYklUoRGBiIwMDAFp1vZmaG4OBgHDhwAC+88EKTCpWXlxf8/Pywf/9+2NraQqlUYv78+TA3N29RBn1WWVmJq1evYuHChaKjEBG1ORYzIqIW6tGjB/bs2SM6BhmYfv364cyZMw2zXo8ikUgwYsQIjBgxog3SiZWVlQWVSgVjY2PRUYiI2hzvWCciaiFnZ2duUkDNJpVKMXr0aBw8eBD19fWi4+gVY2NjPsOMiDosFjMiohYKDg5GUVERwsPDodFoRMchA9K1a1d07twZJ06cEB1Fr7i4uECtVvP7QkQdEosZEVELDR48GPHx8YiLi4NKpUJGRoboSGRARo4ciRMnTqCsrEx0FL0hlUoxbtw4XLhwQXQUIqI2x2JGRPQYnnjiCeTm5sLJyQne3t7YsGGD6EhkIOzs7BAQEIDY2FjRUfSKtbU1ysrKoNVqRUchImpTLGZERI9JoVDgwoULWLBgAWbMmIHnn3+eSxupSYKCgnD9+nVkZWWJjqI3LCwsYGNjg6SkJNFRiIjaFIsZEVEr+fjjj3Ho0CHs3bsXoaGhouOQATAxMcHw4cMRExPDGaL/TyKRICwsDAcOHMDVq1dFxyEiajMsZkRErSgkJARHjx5FXFwcNm7cKDoOGQB/f39oNBpcunRJdBS94ezsjKioKERHR/MePCLqMFjMiIhaWf/+/TF37lzMnj2bSxrpkSQSCUaPHo3Dhw+jtrZWdBy9oVKp4OnpiStXroiOQkTUJljMiIh0YNWqVairq8ORI0dERyED4OrqCldXVyQkJIiOolcqKipQWlqKlJQU0VGIiHSOxYyISAekUilcXFzw448/io5CBmLEiBE4ffo0iouLRUfRG126dMGZM2ewZ88epKeni45DRKRTLGZERDoyZMgQHD16VHQMMhDW1tYYOHAgDh06JDqK3hgxYgTeeecdjBs3jhukEFG7x2JGRKQjkyZNws2bN0XHIAMydOhQZGZm8u/NX3h7ewMAvy9E1K6xmBER6UhYWBjq6+uRm5srOgoZCLlcjhEjRuDAgQPcOOZPJBIJevfujeTkZNFRiIh0hsWMiEhHZDIZJBIJCgoKREchA+Ln5we5XI6LFy+KjqJXvL29ce3aNXz55ZeIi4tDUVGR6EhERK2KxYyISIdkMhnefPNNlJaWio5CBuKP7fN/+eUXVFdXi46jNzp37ozXXnsNo0aNQnV1Nb7++mv89ttvomMREbUaFjMiIh366aefcObMGXh5eYmOQgZEqVTCy8sL8fHxoqPoFYlEAg8PD4wePRozZsxAbGwsTp48yU1BiKhdYDEjItKhCRMmIC0tDXfv3sVXX30lOg4ZkJCQEFy8eJFLYR/AwcEBL774Is6fP4+ff/4ZlZWVoiMRET0WFjMiIh2zsbHB//zP/+Dll1/GkiVLRMchA6FQKDBkyBAcPHhQdBS9ZWNjg1mzZsHc3Bxr1qxBbGwsZ8+IyGCxmBERtYF3330X3377LT766CM89dRTqK+vFx2JDMCgQYOQl5eH69evi46it+RyOcaMGYOXX34Zly9fxo0bN0RHIiJqERYzIqI2MmPGDJw/fx4XL15Er169RMchAyCTyTBq1Chun98EVlZWfKg7ERk0FjMiojbUu3dvXLp0CVevXsX58+dFxyED4OPjA0tLS5w9e1Z0FL3n7++P4uJipKamio5CRNRsMtEBiIg6GldXV3Tv3h0LFy7EkSNHRMchPSeRSDBq1Chs3LgRPXv2hLm5uehIesvIyAhjxozBrl27IJfL4eHhAaVSCSsrK1hbW8PGxgYmJiYAgNLSUly4cAF5eXmwsLCAu7s7fHx8YGRkJPhTEFFHxWJGRCTAihUrMHHiRBQWFsLOzk50HNJz9vb2MDU1RWZmJry9vUXH0WteXl5YuHAh7t69i/T0dGRnZ+PKlSsoKSlBSUkJFAoFrKyscOfOHfTs2RPdu3dHRUUFTp06hf379yM0NBR9+vSBRCIR/VGIqINhMSMiEiAiIgJOTk6IiIjgrBk9UlxcHGxtbfk8vCaSSCRwdHSEo6Njo9c1Gg0KCgpQVFQEd3d3GBsbN7w3aNAgZGdnIzo6Gunp6QgLC2uYXSMiagu8x4yISJDt27fj119/RVxcnOgopOcuXLiAp59+mrM4j0kqlcLBwQHe3t6NStkflEolZs2aBblcjs8//xxXr15teC87OxsJCQm8f42IdIYzZkREggwePBgjR45EZGQkcnNzRcchPZWbm4va2tr7FglqfXK5HGPHjsWNGzewd+9eHDx4EDY2NsjPz0f37t1x6tQpREREwM3NTXRUImpnWMyIiATavn077O3tERERgR07doiOQ3pErVZj3759uHLlCsaOHQuFQiE6Uofi7u6OuXPnIjc3F3fu3IGfnx/kcjnMzc2RlJTEYkZErY5LGYmIBFIoFDh48CCio6Px/vvvi45DekKr1WLnzp0oKyvDa6+9xufeCSKRSNClSxf4+/tDLpcDAAICApCUlIRr164JTkdE7Q2LGRGRYE8++SReffVVfPLJJ6KjkJ44efIkiouLMWnSJG5AoWcsLS0RGRmJPXv24NixY9BqtaIjEVE7wWJGRKQHli5disLCwkabDVDHdePGDQwdOhQyGe840Edubm6YOXMmkpKSsHfvXqjVatGRiKgdYDEjItIDjo6OUKlUWLZsmegopAc0Gg0fdKznrKysMGPGDFRUVODLL7/EoUOHcPToUZSVlYmORkQGisWMiEhPvP/++9i2bRtu3bolOgoJJpVKodFoRMegRzAxMcGkSZMQGhoKc3NzlJSU4LPPPsOOHTtw+/ZtLnMkombhGgkiIj0xbdo0rFy5EuHh4UhMTBQdhwRiMTMcEokEPj4+8PHxAQCEhobi/Pnz2LlzJ2QyGQICAtC9e3dYWVmhuroaRkZGvG+QiO6LxYyISI/s2bMHvr6+ePvtt/GPf/xDdBwSxMjIiPctGShTU1MMGTIEgwcPxs2bN3Hu3DkkJCSgvLy8oZANHz4cgYGBgpMSkb5hMSMi0iNeXl749ttvMWPGDAwfPhyjRo0SHYkE4IyZ4ZNIJHB3d4e7uzuA3+8blEqlyM7OxpYtWzBgwABIJBKxIYlIr/AeMyIiPTNt2jRMmTIF48aNQ25urug4JABnzNofqfT3f3J16dIF5ubmOHbsmOBERKRvWMyIiPTQ+vXr4erqisDAQM6cdECcMWu/JBIJoqKicP78eZw7d050HCLSIyxmRER6SCqV4uTJk8jLy8Pf//530XGojbGYtW+WlpaYMmUK4uLicPnyZdFxiEhPsJgREekpOzs7hIaG4ueffxYdhdpYVVUVzMzMRMcgHerUqROioqKwf/9+XLhwQXQcItID3PyDiEiPzZgxA5GRkaJjdAhqtRqJiYk4eiwB+fn50GjUUCgsETigPwYNGgRzc/M2y1JcXAxLS8s2G4/E6NKlC6ZPn47//Oc/SEtLg5+fX8OzzyQSCZycnFBbW4vCwkKUlZWhvLwc5eXlKCsrQ2lpKdRqNfr164eAgACYmpoK/jRE9LhYzIiI9JhMxv9Nt4XExET89NN/YGFlA89e/dE9sAskUgkqSktwIekC9u7dh+BhwQgPC2vYxEFXysrKkJ+fD5VKpdNxSD/Y29tjzpw5SEhIQFJSUsPrarUaBw4cgImJCTp16gRLS0soFAq4uLhAoVDAysoK9fX1OH36NFatWgV/f38EBQW16S8QiKh18Sc+EZEe27BhA7p16yY6Rrt26tQpbN/xM54Mm4jOKtdG71nb2kPp1g2V5aWI37cNRYVFeOGFqTrd5vzYsWPw8/ODXC7X2RikX+RyOYKDg1t0rrOzM0pLS3H06FGsXbsWgwYNwqBBg2BsbNy6IYlI53iPGRGRHjt+/DhGjhwpOka7devWLWzbvgMjIqbdU8r+zFxhhdDnpiLjViYOx8bqLE9eXh6Sk5MRGhqqszGo/bGyskJYWBhmzpyJvLw8rFmzBpcvX25YFklEhoHFjIhIT1VXV+POnTt46aWXREdptw4dOgy//kNh08nhkcfK5MYYPOIZHD58WGfPGDM2NoZareaOjNQidnZ2mDBhAp5//nkcOXIEmzdvRkFBgehYRNRELGZERHqotLQUL774IkxNTeHn5yc6TrtUVlaG5ORkePr1bfI5tvadobC2w2+//aaTTDY2NujZsydOnz6tk+tTx+Dq6oqXXnoJzs7O+PbbbxGrw1leImo9LGZERHrm7Nmz6Ny5M/bt24f33ntPdJx268qVK+ji6gET0+ZtS+/u0xO/JSbqKBXg5+eH69ev6+z61DHIZDIEBQVh3rx5SExMREZGhuhIRPQILGZERHqmoKAANTU1WLx4MRYvXiw6TrtVWVkJU3OLZp9naqZAZWWlDhL9ztnZGXl5eaipqdHZGNRxmJmZYeTIkTh06BDvOSPScyxmRER6ZtSoUVi9ejUWL16M6upq0XHaLZlMBnV9fbPPU9fXQS7X3Y53MpkMSqUSN27c0NkY1LH06NED1dXVyMnJER2FiB6CxYyISA+9+uqrAH7fpY90Q6VS4U7WTWi1zdtoIy/rJpyddfuMsUGDBmHv3r06nZmjjkMikcDV1RXZ2dmioxDRQ7CYERHpKalUivz8fNExHmjevHmiIzwWNzc3KMzNkXWj6fdz1VRX4UZqMoYOGaLDZED37t3h6+uLuLg4nY5DHUd+fj5sbW1FxyCih+ADpomI9JSRkRF2796NgICAJp9TVVWF1atXo7i4GHK5HLW1tbCxscH8+fNhbm6uw7SGRyKRYNiwYBw+Eo8urh4wMnr0j8Tkcwnw7eELa2trned78sknsWbNGowaNQpGRkY6H4/arzNnzqC2thZubm6ioxDRQ7CYERHpqeXLl2Pp0qXIyMjAhg0bHnm8Wq3Gyy+/jAULFsDf37/h9cTERLz66qv4+uuv+Q/8vxg0aBAu/vYbjsX8jKGjn4VMJn/gsSnnT+J2ajIWLXpL57m0Wi3u3r0LjUaD0tJSznTQY7l27RqGDRsGmYz/7CPSZ/wvlIhITy1evBj+/v4IDw/HkCFDHvmg6W3btmHAgAGNShkA9O7dG/3798e2bdsQGRmJLVu2oEuXLnjyyScbjjl+/Dhu3LiBqKiohtfWrVuHa9euwczMDNXV1Rg3bhyGDh36wPGzsrLw1VdfNXxdV1eHv/3tb+jduzeA339rv337dhgb/75xhlarxVtvvQVra2ucOXMGu3fvhoWFBcrKyiCTyfDGG280zEytW7cOffv2xYABAxqN+frrr2PlypUwNTXFoUOHEB8fDzMzM1RWVsLS0hILFiyAiYnJAzNLpVLMmjkT333/PWL+8zV8/AfCo3uvhs09tFoNsm+mI/W306gsLcLrry/Q+WyZWq3Gpk2bUF5ejpEjR8LGxkan41H7p1AoUFJSIjoGET0CixkRkR4bM2YMwsPD8cEHHzyymO3fvx///ve/7/teZGQkFixYgMjIyCaNu3PnTri6umL27NkNry1atAjdu3dHp06d7jm+qqoKixcvxqpVqxrN7pSXlwMAkpKSsHXrVqxcubLht/Z/3g7exMQEy5cvh1T6+63P165dw4oVK/DPf/4TABAREYF//etfjYpZQUEBLC0tYWpqCgBwcHDAihUrGt4/evQoVq1ahUWLFj30s8rlcsyaORMpKSk4Evcrdhw7BGvbTpBKpSgrKYalpSWGDwtG//79H1ryWktBQQGKioowb968hu8H0ePw9/fHli1b4Obmhi5duoiOQ0QPwGJGRKTn1qxZg65du2Lp0qV4//33H3hcYWEh7Ozs7vuenZ0dCgsLmzxmfHw8Pv3000avjR8/HrGxsZg4ceI9x//yyy8YN27cPUvuFAoFAGDz5s14/fXXGy2l+nPJ+WNW7Q9eXl6NilunTp1QUVGBqqoqmJn9/kDon3/+Gc8++2zDMX+dKQwKCsLWrVub8nEhlUrh5+cHPz8/lJSUoLCwEGq1GpaWlnB0dIREImnSdVpDWVkZrKysWMqo1bi6umLYsGH45ZdfMHnyZNFxiOgBWMyIiPScq6srPv/8c8yZMwfh4eEYPHhwi67TnNme69ev44MPPmj0WnV1NXr16nXf4zMyMhotjfyrvLw8KJXKh465a9cuXLlyBUZGRpBIJLh69Wqj90ePHo3/+7//w/jx4wEAFy9exKxZsxrer6+vx+bNm5Gdnd1wL11LnttkbW3dJpt73M+dO3ewZ8+eh34viVrCz88PBw8ehFqt5r2mRHqKxYyIyADMnj0b0dHRGDVqFPLz8xvu0/qzP2bF7jdr9ufX7zcTU/+XBy17eXlhyZIlTc6n1Wofa1bpyy+/RNeuXfH22283vJaUlNTomNDQULzxxhsYP348kpOT4efn1+j9Dz/8EGFhYZgyZUrDazNmzGhxpraWk5ODH374AaNHj75nBpHocZmZmcHW1hY5OTlwdnYWHYeI7oPrJIiIDMTu3bsBAHPnzr3v+2FhYdi8efN939uyZQueeeYZAL8vCywuLm70/q1btxp9XVtb26xsHh4euHbt2gPfd3BweOjsVXJyMkaOHNnwdV1dHX777bdGx8jlctjZ2SEnJwc7duxAREREo/fv3LmDvn37NnxdUFCA9PT0Zn0OUaqqqrB9+3aMGTOGpYx0xtXVFbdv3xYdg4gegMWMiMhAyGQyfPjhh1i/fj1KS0vveX/ChAk4e/bsPYXm0qVLuHLlCsLDwwH8fj/XyZMnG96vqKjA4cOHG50TGhqKTZs2NXqtpKQEZWVl980WEhKC6Ojoe3Z++2MmLjIyEp9++inUanXDe1qtttHXlZWVDX/esmULvLy87vsZt2zZgqKiInTu3LnRe9XV1Y2ut2XLFnh7e983rz6prq7GN998g+7duz9wqShRa/D09MS5c+ca3b9JRPqDSxmJiAzIK6+8ghUrVqBHjx44ffp0o/u2jIyM8Nlnn2HNmjXYunUr5HI5srKy4OHhgY8++qhhqaG9vT0CAwOxaNEimJqawtzcHFFRUcjPz2+41rhx47BlyxYsWrQI5ubm0Gg0qK+vxxtvvAFLS8t7cpmZmeGDDz7AJ598AolEAqlUirq6OowfPx79+vVDr169EBERgXfffRcmJiaQSqWoqanBm2++CVtbW8ybNw9LliyBnZ0dpFIphgwZAkdHx3vG6dWrFxYvXow5c+bc897MmTPx5ptvNizZDA8PR0pKymN/z3UtIyMDNjY2GDFihOgo1M75+Pjg1KlTSE9Ph6+vr+g4RPQXEq1WqxUdgqijy8zMREhICGJjY7n2nx6puLgYgwcPRnp6OrZu3Ypx48Y98Njbt29j+fLl+Ne//iVsQ4vWtmDBAnz00Uf3vc/OEO3duxe2trYPfUYcUWuJjo6Gu7t7o11M+TOISD9wKSMRkYGxsbFBSkoKpk6dimeffRYvvvgiNBrNfY91cXHBe++9h9OnT7dxSt24evUqlEpluyhlarUacXFxSE5ORo8ePUTHoQ7CxMSESxmJ9BSLGRGRgfrmm2+wefNmbNmyBVZWVvjiiy/ue5yrq6vBL5NLT0/H8uXLsX79esybN090nFaRkpKCq1evYs6cOfc8/41IV1jMiPQXixkRkQGbOHEiSkpKMHXqVMybNw/Ozs4GcV9Vc3Xt2hXLli3DypUrGx4wbeju3r0LLy+vdrPElAwDixmR/mIxIyIycDKZDF988QVyc3NhZWWFp5566oFLG0l/VFdXw9zcXHQM6mCMjY1ZzIj0FIsZEVE7YW9vj9OnT6OiogJRUVGi49Aj2NraIiMjQ3QM6mA4Y0akv1jMiIjaEYVCge3bt2Pr1q3Yu3ev6Dj0EP3790d+fj4uXrwoOgq1Y388L7CmpgYVFRUNfyYi/cPnmBERtTNjxozB1KlTMX78ePzzn//EggULREei+5DJZIiMjMSGDRtgYWFx3wdqEz2O+Ph4/PLLLwB+X8JoZGQEuVyO7t27C05GRPfDYkZE1A5t2LABXbt2xcKFCxEdHY24uDjRkeg+HBwcMGnSJPznP//B5MmToVKpREeidiQwMBDXr1+Hg4MDwsLCGh4yT0T6iUsZiYjaqWXLluHy5cs4evQovvrqK9Fx6AFcXFwwZswY7Nu3T3QUamdMTU0RFRWF27dv48SJE6LjENEjsJgREbVjPj4+mDNnDl5//XXU1taKjkP3odVqkZycDCcnJ9FRqB0yMTFBVFQUTp482S4fpUHUnrCYERG1c2vWrIGpqSkGDx7MbfT1UFxcHKqqqhAWFiY6CrVT1tbWiIyMxJ49e5CVlSU6DhE9AIsZEVE7J5VKcebMGVy+fBmDBg1CYWGh6Ej0/92+fRvnzp3D888/DyMjI9FxqB1TKpV45plnsHnzZpSUlIiOQ0T3wWJGRNQBdOvWDWfOnEFmZiYcHBwQFRWF8vJy0bE6NK1Wi5iYGIwcORIKhUJ0HOoAunfvjiFDhmDTpk3cMp9ID7GYERF1ED179kR2dja+++47HDx4ELa2tpgzZw7vPRMkMTERUqkUvXr1Eh2FOpBBgwbBwsIC6enpoqMQ0V+wmBERdTDTpk1Dfn4+Pv74Y/z000+wsrLC22+/zfvP2lBtbS1iY2MxevRobmFObUoikcDOzg4VFRWioxDRX7CYERF1UAsWLEBxcTEWL16MNWvWwNLSEitXrmRBawPXrl2Do6MjnJ2dRUehDsjc3JzFjEgPsZgREXVgUqkUy5YtQ2lpKWbPno1ly5bBzs4OO3fuFB2tXVMoFLzHj4SxsLBAZWWl6BhE9BcsZkREBJlMhk8//RSlpaUICwtDREQEXnjhBc6e6YiLiwtKS0tRVFQkOgp1QBYWFvzFAJEeYjEjIqIGpqam2LRpE3bv3o1t27bB3d0dGRkZomO1O1KpFH369MHZs2dFR6EOiDNmRPqJxYyIiO4RHh6OrKwsWFtbo2vXrlCpVFi4cCGfgdaKBgwYgAsXLqCurk50FOpgLCwseI8ZkR5iMSMiovuys7PDpUuXkJaWhtDQUHz//fewt7dHaGgot9hvBXZ2dnB2dkZSUpLoKNTBsJgR6ScWMyIieqhu3bphw4YNKCwsREJCAs6ePQsnJyckJiaKjmbwAgMDcerUKWi1WtFRqAMxNzdHVVUV/94R6RkWMyIiarLBgwcjNzcXvXr1Qt++ffHxxx+LjmTQunXrhtraWmRmZoqOQh2IVCqFiYkJqqqqREchoj9hMSMiomYxNTXFr7/+ig8//BDvvPMOnnzySS5tbCGJRNIwa0bUlrickUj/sJgREVGLvPXWW7hw4QKSkpLg6OiITZs2iY5kkPz9/ZGWloaCggLRUagDYTEj0j8y0QGIiMhw9e7dG7m5uZg8eTJeeOEFvPbaa3j66aexaNEi9OzZU3Q8g2BqaooRI0Zg/fr1GDhwILRaLVxdXeHq6gqJRNLi62o0Gly5cgVH4n5FVlYW6urqYGZujt69euKpJ5+Eg4NDK34KMjQsZkT6h8WMiIgei7GxMbZt24bCwkL8/e9/x65du/DDDz/A0tISQUFBeOONNxASEiI6pl7r168f7OzscPXqVUilUuzfvx+VlZUICgrCgAEDml3Qbty4gW++/Q5aiQxdvP3R03sIjIxkqK2uwI2MFBz/8B/w8fHBtBemwtTUVEefivSZhYUFzp49i6ysLJSUlIiOQ0QAJFpuyUMkXGZmJkJCQhAbGwtnZ2fRcYgeW2lpKVavXo2ffvoJV69eRadOnbB161YEBweLjmYw8vLysHXrVvTp0wdBQUFNPi8tLQ1ffPkVfAaOhKOr931Lnbq+DqlnYqGuKMDCN15nOeuA8vPzkZ6ejrq6OuTk5GDp0qX8GUQkGO8xIyKiVmdlZYV3330Xly9fRklJCfr164fhw4dj2LBhuHr1quh4eq+urg6pqamoqKiAiYlJk88rKyvDl1+tQ48nwtHZzeeBM21GMjm6DxoFI4tO2PjDj60VmwyIvb09AgMDMXToUAwaNEh0HCICixkREemYQqFATEwM4uPjkZWVBV9fX/j4+GDHjh2io+mloqIifPbZZ8jKysKLL76IwMDAJp+bkHAc9qpusFd6PPJYiUQC7wEhSElJ4cYjRER6gMWMiIjaxBNPPIHU1FQkJyfDxcUFEydOhK2tLZYsWYL6+nrR8fRGQkICevfujUmTJjVrgw6NRoNf4+Oh9O7b5HOMZHIou/VEfPzRlkQlIqJWxGJGRERtytfXF4cPH0ZJSQmmTJmCf//737CxscE333wjOppeKCsrQ5cuXZp9Xm5uLrSQwtreqVnnObr7IvFSUrPHIyKi1sViRkREQigUCqxZswalpaWIiorCSy+9BFdXVyxevBjZ2dmi4wljZWXVol3yKisrYWxq1uzzjE3NUVVd1ezziIiodbGYERGRUDKZDOvWrUNWVhb69euHdevWQaVSwdbWFuHh4di1axc0Go3omG2iqKgIeXl5qKura/a5xsbG0KibvyRUU18HY7m82ecREVHrYjEjIiK94OTkhJ07d6KgoAA5OTl45ZVXkJGRgYiICCgUCvz4Y/vdPVCr1SIuLg5ff/01PDw8MHTo0GZfw8HBARVlxaipLG/WeQW5N7lFOhGRHmAxIyIivePk5IT3338fycnJqK2txZQpU/DCCy/g2WefFR1NJw4cOIC0tDS88sorCA4OhlTa/B/PZmZm6Ns3AFnXfmvyOVqtFjmpFzEs+Klmj0dERK2LxYyIiPSaVCrFunXrcOLECezZswfTp08XHalVpaSkIDU1FVOmTIFCoXisaw0LfgqZqReaPGuWk54ME2MZPD09H2tcIiJ6fCxmRERkEAYOHIh9+/bhhx9+QHh4eLu47+zu3bvYu3cvIiIiYGpq+tjXc3FxwfBhwbgYuxXVlWUPPTbv1jWknTuCmf/14gMfRE1ERG1HJjoAERFRU40aNQrHjh1DSEgIunbtirNnz8Le3l50rBaprq7G5s2bERoa2qr3eD09ZgykEikO790Albc/VF59YGphCeD3pYvFeZnITr2I4rzbmPfqXN5fRkSkJ1jMiIjIoAwePBiZmZno378/VCoV/va3v+GTTz6BnZ2d6GhNVldXhy1btsDT0xN9+zb9gdBNIZFIMGbMaPTp0xtHjsTh5J5vYWZuCSOZDNVVlTAxlmNY8FMYPHgGzM3NW3VsIiJqORYzIiIyOHZ2dkhLS8PKlSuxevVqbNy4EXPmzMHnn38uOtoj1dbW4siRIzAxMcGoUaN0No5SqcTkyVGIiHgOhYWFqK2thbm5Oezt7R+6ucjx48dx48YNREVF3ffrc+fOITMzE+PGjdNZ9uZYtmwZli9fLjoGEdFj4z1mRERkkKRSKZYuXYo7d+5g69atWLduHUaMGIHa2lrR0R4oLS0Nq1atQk5ODkJDQ1u0+2JzmZqaQqlUwt3dHY6Ojvcd8/jx4/jpp5+adL1+/frpTSkDwFJGRO0GixkRERm8CRMm4PTp0zh9+jSsrKwwd+5clJaWio7VSEJCAnbt2oWJEydi+vTpBntvHBER6QaXMhIRUbsQEBCAoqIirFixAqtWrcIXX3yBvn37Yvny5QgPDxearaioCMePH8ecOXNgaWkpNMvjut9Sx7S0NOTm5qKoqAgajQbe3t6YPn06Vq9ejfz8fKjVanTt2hWzZ89uuM6hQ4cQHx8PMzMzVFZWwtLSEgsWLICJiUnDMfPmzcOzzz6LX3/9FVqtFrW1tXj77bdha2vb6Jg1a9a03TeAiEhHWMyIiKjdkEqlWLZsGZYtW4ZffvkF7777LsaNGwcrKyvs3LkTwcHBQnLJZDJoNBrk5eUZfDG7n40bN+Kzzz6Dj48PAOC9997D8uXLMW3aNHTr1g3A7/eC3b59Gy4uLgAABwcHrFixouEaR48exapVq7Bo0aKG1zIzM1FWVtawXPHWrVtYu3Yt/vu//7utPhoRUZvhUkYiImqXhg8fjuPHj6OsrAzBwcEYPnw4/vd//1dIFktLS0RERGDXrl1ITk4WkkGXBg8e3FDKAGDAgAEwMjJqKGV/vHb58uWGr/39/RtdIygoCLdv377n2n++n83V1RUFBQWtmJyISH9wxoyIiNo1c3Nz7Ny5E2vXrsX8+fMxadIkeHl5tXkOT09PTJw4Edu2bYOfn1+bj69Lfy5gAGBtbX3PaxYWFigqKmr4ur6+Hps3b0Z2djaMjIwAADk5OY3OUSqV94ylVqtbKzYRkV7hjBkREXUIr776Kuzt7fHdd98Jy6BSqVBRUYG6ujphGXTB2Nj4ntfkcvk9r2m12oY/f/jhh/Dz88OiRYuwcOFCLFy48J5lnm2xayURkb7g//GIiKjD6Nq1K86cOSNs/JSUFOTk5KCmpkZYBn1x586dRg/XLigoQHp6usBERERisZgREVGH0bdvX6Smprb5uFqtFkePHkVMTAzc3d1RXFzc5hn0TXV1daNliVu2bIG3t7fAREREYvEeMyIi6jDGjh2LdevWobKyEubm5jodS6PRIDU1tWEmqKamBrNmzUJ8fDzOnj0LlUoFiUSi0wz6bObMmXjzzTdhZ2cHAAgPD0dKSorgVERE4ki0f17wTURCZGZmIiQkBLGxsXB2dhYdh6hd69SpExQKBeLj4+Hm5qazcXbt2oXc3Fy4u7vD3t4e/v7+MDIyQm1tLdavXw8vLy8MGzZMZ+MTNRV/BhHpBy5lJCKiDiUlJaVh18CPPvpIZ+Pk5uYiLCwMo0aNQr9+/Rp2HjQ2NsbkyZNx6dIlnDt3TmfjExGRYWExIyKiDsXR0RGJiYlYsWIFlixZgj59+iA/P18n42RnZ9/3PQsLC0RERCAhIaHVxyUiIsPEYkZERB3S4sWLce3aNZSUlEClUmHp0qXQaDStdv0ePXo89GHSSqUS1dXVKCkpabUxiYjIcLGYERFRh+Xh4YEbN25g0aJF+PTTT6FQKLB///5WuXbXrl1x+/btB74vkUjg4eGBK1eutMp4RERk2FjMiIiow1uxYgXKy8sxYcIEjB07Fjt27Hjsa0qlUjxqf63BgwcjISEBmzZtQkZGxiOPJyKi9ovFjIiICL8XqY0bN2Lu3LmYOHEi1q5d+1jXy8jIgEqleugxzs7OmD9/Pnx9fbFv3z6sW7eOzzgjIuqgWMyIiIj+ZPXq1Vi2bBlee+01DBw4EKWlpc2+hlarxcmTJ9G7d+9HHiuTyRAQEIDp06cjNzcXZWVlLYlNREQGjsWMiIjoL9577z0kJibi1q1b6Ny5M7Zv396s848fP46qqioEBAQ0+ZyzZ8/C398fLi4uzY1LRETtAIsZERHRffj5+SErKwuTJ0/GxIkT8fTTT6O2tvah59TV1eHIkSM4ceIEJk6cCJlM1uTxVCoV8vLyHjc2EREZKBYzIiKiB5BKpfjmm28QHx+P48ePw9HREVevXr3nuPLycpw+fRpr165FQUEBZs2aBWtr62aN1a1bN1RUVDzw2WdERNS+Nf1XeURERB3UE088gfz8fAQFBaFXr15477334OTkhJqaGmi1WpSXl8Pb2xvPPfcc3NzcWjSGVCqFt7c3bt26BaVS2cqfgIiI9B2LGRERURPIZDKcOHECYWFhWLZsGfbt29dwD5mtrS3kcvljj9G5c2fcvHnzsa9DRESGh0sZiYiImmHfvn1wdHRETEwMHB0d4ejo2CqlDPj9gdcZGRmtci0iIjIsLGZERETN5OzsfN97zR6Xra0t6urqUFFR0erXJiIi/cZiRkRE1EzdunXTyZJDiUQCR0dH3L17t9WvTURE+o3FjIiIqJm6deuGwsJCnVzb1tYWxcXFOrk2ERHpLxYzIiKiZpLL5dBqtTq5tq2tLWfMiIg6IBYzIiKiZpJKpdBoNDq5tqenJ1JTU3VybSIi0l8sZkRERM0klerux6dKpUJVVZXOlkoSEZF+YjEjIiJqJnNzc9TX1+vk2hKJBG5ubsjMzNTJ9YmISD+xmBERETVTQEAAysvLdXZ9KysrnV6fiIj0D4sZERFRMwUGBkKtVuusPBkbG6Oqqkon1yYiIv3EYkZERNRM5ubmkMlkOHHihE6u7+vri/Pnz6OgoEAn1yciIv3DYkZERNQCVlZWOHXqlE6u7eTkhJCQEKxfvx7Z2dk6GYOIiPSLTHQAIiIiQ9S5c2ckJSXp7PoBAQEwMzPDpk2bMHDgQAQFBUEikehsPCIiEovFjIiIqAXc3d2Rlpam0zF8fX2hUqmwbds2lJSUIDw8nOWMiKid4lJGIiKiFvDz80NWVpbOx7GyssKUKVOQl5eHPXv26OzB1kREJBaLGRERUQuMGTMGeXl5Onue2Z+ZmJhg6tSpKCkpwcaNG3H37l2dj0ntV21tLW7evIkTJ05g+/bt2LBhg+hIRAQuZSQiImqR4cOHQyaTYdOmTZg2bZrOxzM2NsbkyZNx5swZfP/99wgNDUVAQIDOxyXDVl9fjzt37iArKwvZ2dnIzs5GUVERHB0doVKp4OnpCS8vL2zcuFF0VKIOj8WMiIiohXr37o3vvvuuTYoZAEilUgwcOBCenp5Yu3YtXF1dYW9v3yZjk/5Tq9W4e/cusrOzG4pYfn4+OnXqBKVSCRcXFwwcOBCOjo4wMjJqOC8zM1NgaiL6A4sZERFRC02ZMgVLlixp83FTU1Ph4OAAhULR5mOTftBoNCgoKGiYBcvKysKdO3dgY2MDpVIJpVKJvn37onPnzpDL5aLjElETsJgRERG1UEREBBYsWNCmY167dg3Hjx/HzJkzYWpq2qZjkxharRZFRUUNJSw7Oxs5OTkwNzeHSqWCUqmEr68vunTpAhMTE9FxiaiFWMyIiIhaSKlUAgCys7Mb/qxLRUVFiI6ORmRkJKytrXU+HrW9mpoa5OfnIz8/H3fv3kVOTg6ys7Mhl8uhVCqhUqkQFBQEpVIJMzMz0XGJqBWxmBEREbWQVCqFtbU1/vGPf2DVqlU6Hau+vh5bt25FUFAQXFxcdDoWtb3Kykp89913KCkpQadOneDg4AB7e3sEBgZCqVTC0tJSdEQi0jEWMyIioscwe/ZsfP311zovZocPH4atrS0GDhyo03FIjMTERDg5OWHu3Ll8iDhRB8XnmBERET2GiIgIlJaW6nycyspKaLVaaLVanY9FbUur1eL8+fPo378/SxlRB8ZiRkRE9Bi8vLyg0Wh0Ps7YsWNRV1eHHTt2QK1W63w8ajtZWVmor6+Hm5ub6ChEJBCLGRER0WMwNjZuk3HkcjkiIyNRXl6OCxcutMmY1DbOnz+PgIAAzpYRdXAsZkRERAZCJpOhV69eyM7OFh2FWklNTQ0uX76MPn36iI5CRIJx8w8iPZKVlSU6AhE1U3V1NWQyGTIzM9tkvEuXLsHa2rrNxiPdSk5OhrW1NUpKSlBSUiIkQ25urpBxiagxiZZ3ERMJV1paigEDBoiOQUREHZS1tTUOHjwIGxsb0VGIOiwWMyI9UVpa2iY7uxEREf2VQqFgKSMSjMWMiIiIiIhIMG7+QUREREREJBiLGRERERERkWAsZkRERERERIKxmBEREREREQn2/wCcV8ETjUeE8QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lat_ice_obs = [-9.1,-13.9,-16.6]\n",
    "lon_ice_obs = [-77.6,-70.8,-67.8]\n",
    "dep_BCppb_obs = [dep_2014_9['Average BC concentration (ng.g-1)'][0:5].mean(), dep_2014_9['Average BC concentration (ng.g-1)'][5:7].mean(),Illimani_dep_data['Concentration rBC (ppb) Annual mean'][0:5].mean()]\n",
    "\n",
    "#import format_plots as fp\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "\n",
    "plt.scatter(lon_ice_obs, lat_ice_obs,c=dep_BCppb_obs,transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "            vmin=0, vmax=15,s=200,\n",
    "            cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')\n",
    "plt.text(-67.5, -17, 'Illimani',fontsize=14,fontweight='light', ha='left',va='top',color='k')\n",
    "\n",
    "\n",
    "plt.title('BC for Huascara\\u0301n & Quelccaya between 2014-2019 and Illimani between 2004-2009.', y=1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Monthly BC at Shallap and Yanapaccha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Yanapaccha_1</th>\n",
       "      <th>Shallap_1</th>\n",
       "      <th>Vallunaraju_1</th>\n",
       "      <th>Tocllaraju_1</th>\n",
       "      <th>Yanapaccha_2</th>\n",
       "      <th>Shallap_2</th>\n",
       "      <th>Vallunaraju_2</th>\n",
       "      <th>Tocllaraju_2</th>\n",
       "      <th>Yanapaccha_3</th>\n",
       "      <th>Shallap_3</th>\n",
       "      <th>...</th>\n",
       "      <th>Tocllaraju_4</th>\n",
       "      <th>Yanapaccha_5</th>\n",
       "      <th>Shallap_5</th>\n",
       "      <th>Vallunaraju_5</th>\n",
       "      <th>Tocllaraju_5</th>\n",
       "      <th>Yanapaccha_avg</th>\n",
       "      <th>Shallap_avg</th>\n",
       "      <th>Vallunaraju_avg</th>\n",
       "      <th>Tocllaraju_avg</th>\n",
       "      <th>datetime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15.52</td>\n",
       "      <td>296.56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.68</td>\n",
       "      <td>301.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.57</td>\n",
       "      <td>299.08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.94</td>\n",
       "      <td>297.35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.150</td>\n",
       "      <td>298.082</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11.76</td>\n",
       "      <td>81.32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.53</td>\n",
       "      <td>80.36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.85</td>\n",
       "      <td>84.07</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.67</td>\n",
       "      <td>87.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.638</td>\n",
       "      <td>82.748</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45.80</td>\n",
       "      <td>86.68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.05</td>\n",
       "      <td>92.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.67</td>\n",
       "      <td>91.53</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.89</td>\n",
       "      <td>93.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.872</td>\n",
       "      <td>89.812</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>86.68</td>\n",
       "      <td>173.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>91.24</td>\n",
       "      <td>170.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.08</td>\n",
       "      <td>174.09</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.10</td>\n",
       "      <td>175.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.092</td>\n",
       "      <td>173.636</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33.36</td>\n",
       "      <td>78.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.59</td>\n",
       "      <td>82.34</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.39</td>\n",
       "      <td>80.54</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.94</td>\n",
       "      <td>81.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.030</td>\n",
       "      <td>79.964</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-01-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yanapaccha_1  Shallap_1  Vallunaraju_1  Tocllaraju_1  Yanapaccha_2  \\\n",
       "0         15.52     296.56            NaN           NaN         17.68   \n",
       "1         11.76      81.32            NaN           NaN         10.53   \n",
       "2         45.80      86.68            NaN           NaN         48.05   \n",
       "3         86.68     173.08            NaN           NaN         91.24   \n",
       "4         33.36      78.22            NaN           NaN         30.59   \n",
       "\n",
       "   Shallap_2  Vallunaraju_2  Tocllaraju_2  Yanapaccha_3  Shallap_3  ...  \\\n",
       "0     301.75            NaN           NaN         16.57     299.08  ...   \n",
       "1      80.36            NaN           NaN         13.85      84.07  ...   \n",
       "2      92.08            NaN           NaN         46.67      91.53  ...   \n",
       "3     170.25            NaN           NaN         89.08     174.09  ...   \n",
       "4      82.34            NaN           NaN         32.39      80.54  ...   \n",
       "\n",
       "   Tocllaraju_4  Yanapaccha_5  Shallap_5  Vallunaraju_5  Tocllaraju_5  \\\n",
       "0           NaN         17.94     297.35            NaN           NaN   \n",
       "1           NaN         14.67      87.43            NaN           NaN   \n",
       "2           NaN         44.89      93.10            NaN           NaN   \n",
       "3           NaN         90.10     175.43            NaN           NaN   \n",
       "4           NaN         31.94      81.92            NaN           NaN   \n",
       "\n",
       "   Yanapaccha_avg  Shallap_avg  Vallunaraju_avg  Tocllaraju_avg   datetime  \n",
       "0          17.150      298.082              NaN             NaN 2014-09-01  \n",
       "1          12.638       82.748              NaN             NaN 2014-10-01  \n",
       "2          46.872       89.812              NaN             NaN 2014-11-01  \n",
       "3          89.092      173.636              NaN             NaN 2014-12-01  \n",
       "4          33.030       79.964              NaN             NaN 2015-01-01  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BC_snowconc= pd.read_excel(BC_snowconc_xls, 'Wilmer-eBC(ng_g-1)')\n",
    "BCdata_coor= pd.read_excel(BC_snowconc_xls, 'Coordinates')\n",
    "BC_snowconc['datetime']= pd.to_datetime(BC_snowconc['Mes/Año'], format='%Y-%m-%d')  \n",
    "del BC_snowconc['Mes/Año']\n",
    "BC_snowconc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>Yanapaccha_avg</th>\n",
       "      <th>Yanapaccha_std</th>\n",
       "      <th>Shallap_avg</th>\n",
       "      <th>Shallap_std</th>\n",
       "      <th>Vallunaraju_avg</th>\n",
       "      <th>Vallunaraju_std</th>\n",
       "      <th>Tocllaraju_avg</th>\n",
       "      <th>Tocllaraju_std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>17.150</td>\n",
       "      <td>1.082867</td>\n",
       "      <td>298.082</td>\n",
       "      <td>2.404178</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>12.638</td>\n",
       "      <td>1.649173</td>\n",
       "      <td>82.748</td>\n",
       "      <td>3.008234</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>46.872</td>\n",
       "      <td>1.644998</td>\n",
       "      <td>89.812</td>\n",
       "      <td>3.386439</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>89.092</td>\n",
       "      <td>1.730873</td>\n",
       "      <td>173.636</td>\n",
       "      <td>2.125342</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>33.030</td>\n",
       "      <td>2.366738</td>\n",
       "      <td>79.964</td>\n",
       "      <td>2.390372</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    datetime  Yanapaccha_avg  Yanapaccha_std  Shallap_avg  Shallap_std  \\\n",
       "0 2014-09-01          17.150        1.082867      298.082     2.404178   \n",
       "1 2014-10-01          12.638        1.649173       82.748     3.008234   \n",
       "2 2014-11-01          46.872        1.644998       89.812     3.386439   \n",
       "3 2014-12-01          89.092        1.730873      173.636     2.125342   \n",
       "4 2015-01-01          33.030        2.366738       79.964     2.390372   \n",
       "\n",
       "   Vallunaraju_avg  Vallunaraju_std  Tocllaraju_avg  Tocllaraju_std  \n",
       "0              NaN              NaN             NaN             NaN  \n",
       "1              NaN              NaN             NaN             NaN  \n",
       "2              NaN              NaN             NaN             NaN  \n",
       "3              NaN              NaN             NaN             NaN  \n",
       "4              NaN              NaN             NaN             NaN  "
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eBC_peru = pd.DataFrame() ##eBC is for accumulation zones only units of ng/gr\n",
    "eBC_peru['datetime']= BC_snowconc['datetime']\n",
    "eBC_peru['Yanapaccha_avg']=BC_snowconc[['Yanapaccha_1', 'Yanapaccha_2', 'Yanapaccha_3', \"Yanapaccha_4\",'Yanapaccha_5']].mean(axis=1)\n",
    "eBC_peru['Yanapaccha_std']=BC_snowconc[['Yanapaccha_1', 'Yanapaccha_2', 'Yanapaccha_3', \"Yanapaccha_4\",'Yanapaccha_5']].std(axis=1)\n",
    "eBC_peru['Shallap_avg']=BC_snowconc[['Shallap_1','Shallap_2','Shallap_3','Shallap_4','Shallap_5']].mean(axis=1)\n",
    "eBC_peru['Shallap_std']=BC_snowconc[['Shallap_1','Shallap_2','Shallap_3','Shallap_4','Shallap_5']].std(axis=1)\n",
    "eBC_peru['Vallunaraju_avg']=BC_snowconc[[\"Vallunaraju_1\",\"Vallunaraju_2\",\"Vallunaraju_3\",\"Vallunaraju_4\",\"Vallunaraju_5\"]].mean(axis=1)\n",
    "eBC_peru['Vallunaraju_std']=BC_snowconc[[\"Vallunaraju_1\",\"Vallunaraju_2\",\"Vallunaraju_3\",\"Vallunaraju_4\",\"Vallunaraju_5\"]].std(axis=1)\n",
    "eBC_peru['Tocllaraju_avg']=BC_snowconc[['Tocllaraju_1','Tocllaraju_2','Tocllaraju_3','Tocllaraju_4','Tocllaraju_5']].mean(axis=1)\n",
    "eBC_peru['Tocllaraju_std']=BC_snowconc[['Tocllaraju_1','Tocllaraju_2','Tocllaraju_3','Tocllaraju_4','Tocllaraju_5']].std(axis=1)\n",
    "eBC_peru.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/2229344550.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru['Obs/GC artemon_ratio'][date]= arte_rats_mon['Obs/GC ratio'][month]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>Obs/GC artemon_ratio</th>\n",
       "      <th>Yanapaccha_avg (ug/gr)</th>\n",
       "      <th>Yanapaccha_std (ug/gr)</th>\n",
       "      <th>GC-BC Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Yanapaccha (mg/m2*month)</th>\n",
       "      <th>Shallap_avg (ug/gr)</th>\n",
       "      <th>Shallap_std (ug/gr)</th>\n",
       "      <th>GC-BC Shallap (mg/m2*month)</th>\n",
       "      <th>GC-BC Shallap [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Shallap [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Shallap (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Shallap (mg/m2*month)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>0.015808</td>\n",
       "      <td>0.017150</td>\n",
       "      <td>0.001083</td>\n",
       "      <td>0.156501</td>\n",
       "      <td>0.102639</td>\n",
       "      <td>0.053862</td>\n",
       "      <td>0.328775</td>\n",
       "      <td>0.485276</td>\n",
       "      <td>0.298082</td>\n",
       "      <td>0.002404</td>\n",
       "      <td>0.153795</td>\n",
       "      <td>0.111593</td>\n",
       "      <td>0.042202</td>\n",
       "      <td>0.295423</td>\n",
       "      <td>0.449218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>0.026117</td>\n",
       "      <td>0.012638</td>\n",
       "      <td>0.001649</td>\n",
       "      <td>0.168733</td>\n",
       "      <td>0.130397</td>\n",
       "      <td>0.038337</td>\n",
       "      <td>0.293284</td>\n",
       "      <td>0.462017</td>\n",
       "      <td>0.082748</td>\n",
       "      <td>0.003008</td>\n",
       "      <td>0.163028</td>\n",
       "      <td>0.131404</td>\n",
       "      <td>0.031623</td>\n",
       "      <td>0.279579</td>\n",
       "      <td>0.442607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>0.017210</td>\n",
       "      <td>0.046872</td>\n",
       "      <td>0.001645</td>\n",
       "      <td>0.171976</td>\n",
       "      <td>0.167818</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.421990</td>\n",
       "      <td>0.593966</td>\n",
       "      <td>0.089812</td>\n",
       "      <td>0.003386</td>\n",
       "      <td>0.172522</td>\n",
       "      <td>0.168425</td>\n",
       "      <td>0.004098</td>\n",
       "      <td>0.406795</td>\n",
       "      <td>0.579317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>0.049458</td>\n",
       "      <td>0.089092</td>\n",
       "      <td>0.001731</td>\n",
       "      <td>0.242049</td>\n",
       "      <td>0.238049</td>\n",
       "      <td>0.004000</td>\n",
       "      <td>0.929609</td>\n",
       "      <td>1.171658</td>\n",
       "      <td>0.173636</td>\n",
       "      <td>0.002125</td>\n",
       "      <td>0.238107</td>\n",
       "      <td>0.234336</td>\n",
       "      <td>0.003771</td>\n",
       "      <td>0.851481</td>\n",
       "      <td>1.089588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>0.154570</td>\n",
       "      <td>0.033030</td>\n",
       "      <td>0.002367</td>\n",
       "      <td>0.602151</td>\n",
       "      <td>0.585886</td>\n",
       "      <td>0.016265</td>\n",
       "      <td>9.987661</td>\n",
       "      <td>10.589812</td>\n",
       "      <td>0.079964</td>\n",
       "      <td>0.002390</td>\n",
       "      <td>0.604464</td>\n",
       "      <td>0.588680</td>\n",
       "      <td>0.015784</td>\n",
       "      <td>8.988916</td>\n",
       "      <td>9.593380</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    datetime  Obs/GC artemon_ratio  Yanapaccha_avg (ug/gr)  \\\n",
       "0 2014-09-01              0.015808                0.017150   \n",
       "1 2014-10-01              0.026117                0.012638   \n",
       "2 2014-11-01              0.017210                0.046872   \n",
       "3 2014-12-01              0.049458                0.089092   \n",
       "4 2015-01-01              0.154570                0.033030   \n",
       "\n",
       "   Yanapaccha_std (ug/gr)  GC-BC Yanapaccha (mg/m2*month)  \\\n",
       "0                0.001083                        0.156501   \n",
       "1                0.001649                        0.168733   \n",
       "2                0.001645                        0.171976   \n",
       "3                0.001731                        0.242049   \n",
       "4                0.002367                        0.602151   \n",
       "\n",
       "   GC-BC Yanapaccha [Anthro](mg/m2*month)  \\\n",
       "0                                0.102639   \n",
       "1                                0.130397   \n",
       "2                                0.167818   \n",
       "3                                0.238049   \n",
       "4                                0.585886   \n",
       "\n",
       "   GC-BC Yanapaccha [fires](mg/m2*month)  GC-DST Yanapaccha (mg/m2*month)  \\\n",
       "0                               0.053862                         0.328775   \n",
       "1                               0.038337                         0.293284   \n",
       "2                               0.004158                         0.421990   \n",
       "3                               0.004000                         0.929609   \n",
       "4                               0.016265                         9.987661   \n",
       "\n",
       "   GC-LAPS Yanapaccha (mg/m2*month)  Shallap_avg (ug/gr)  Shallap_std (ug/gr)  \\\n",
       "0                          0.485276             0.298082             0.002404   \n",
       "1                          0.462017             0.082748             0.003008   \n",
       "2                          0.593966             0.089812             0.003386   \n",
       "3                          1.171658             0.173636             0.002125   \n",
       "4                         10.589812             0.079964             0.002390   \n",
       "\n",
       "   GC-BC Shallap (mg/m2*month)  GC-BC Shallap [Anthro](mg/m2*month)  \\\n",
       "0                     0.153795                             0.111593   \n",
       "1                     0.163028                             0.131404   \n",
       "2                     0.172522                             0.168425   \n",
       "3                     0.238107                             0.234336   \n",
       "4                     0.604464                             0.588680   \n",
       "\n",
       "   GC-BC Shallap [fires](mg/m2*month)  GC-DST Shallap (mg/m2*month)  \\\n",
       "0                            0.042202                      0.295423   \n",
       "1                            0.031623                      0.279579   \n",
       "2                            0.004098                      0.406795   \n",
       "3                            0.003771                      0.851481   \n",
       "4                            0.015784                      8.988916   \n",
       "\n",
       "   GC-LAPS Shallap (mg/m2*month)  \n",
       "0                       0.449218  \n",
       "1                       0.442607  \n",
       "2                       0.579317  \n",
       "3                       1.089588  \n",
       "4                       9.593380  "
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##get monthly ratio in date that it corresponds to the artesonraju location 2016-2019 monthly precip avgs\n",
    "#then re-do the normalization to take the differences in obs/model ratios\n",
    "##then re-create the plots for Shallap & Yannapacha\n",
    "###after then make the for Yannaphaccha & Shallap to ug/gr of water for geochem to comapre them dirrectly ? ????\n",
    "ObsGC_monthly_peru= pd.DataFrame()\n",
    "ObsGC_monthly_peru['datetime']= eBC_peru['datetime'][0:52]\n",
    "ObsGC_monthly_peru['Obs/GC artemon_ratio']=np.nan\n",
    "\n",
    "for date in range (0,len(ObsGC_monthly_peru['datetime'])): \n",
    "    for month in range (0,len(arte_rats_mon.month)):\n",
    "        if ObsGC_monthly_peru['datetime'][date].month == arte_rats_mon.month[month]:\n",
    "            ObsGC_monthly_peru['Obs/GC artemon_ratio'][date]= arte_rats_mon['Obs/GC ratio'][month]\n",
    "            \n",
    "ObsGC_monthly_peru['Yanapaccha_avg (ug/gr)']=eBC_peru['Yanapaccha_avg'][0:52]/1000\n",
    "ObsGC_monthly_peru['Yanapaccha_std (ug/gr)']=eBC_peru['Yanapaccha_std'][0:52]/1000\n",
    "\n",
    "ObsGC_monthly_peru['GC-BC Yanapaccha (mg/m2*month)']= BCDST_flux2014_19m['DryDep_BC'].sel(lat=-9, lon=-77.5)[8:60].values+(ObsGC_monthly_peru['Obs/GC artemon_ratio']*(BCDST_flux2014_19m['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[8:60].values))\n",
    "ObsGC_monthly_peru['GC-BC Yanapaccha [Anthro](mg/m2*month)']= BCDST_flux2014_19m_noGFED['DryDep_BC'].sel(lat=-9, lon=-77.5)[8:60].values+(ObsGC_monthly_peru['Obs/GC artemon_ratio']*(BCDST_flux2014_19m_noGFED['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[8:60].values))\n",
    "ObsGC_monthly_peru['GC-BC Yanapaccha [fires](mg/m2*month)']= ObsGC_monthly_peru['GC-BC Yanapaccha (mg/m2*month)']- ObsGC_monthly_peru['GC-BC Yanapaccha [Anthro](mg/m2*month)']\n",
    "\n",
    "ObsGC_monthly_peru['GC-DST Yanapaccha (mg/m2*month)']= BCDST_flux2014_19m['DryDep_DST'].sel(lat=-9, lon=-77.5)[8:60].values+(ObsGC_monthly_peru['Obs/GC artemon_ratio']*(BCDST_flux2014_19m['WetLossTotal_DST'].sel(lat=-9, lon=-77.5)[8:60].values))\n",
    "ObsGC_monthly_peru['GC-LAPS Yanapaccha (mg/m2*month)']= ObsGC_monthly_peru['GC-BC Yanapaccha (mg/m2*month)']+ ObsGC_monthly_peru['GC-DST Yanapaccha (mg/m2*month)']\n",
    "\n",
    "ObsGC_monthly_peru['Shallap_avg (ug/gr)']=eBC_peru['Shallap_avg'][0:52]/1000\n",
    "ObsGC_monthly_peru['Shallap_std (ug/gr)']=eBC_peru['Shallap_std'][0:52]/1000\n",
    "ObsGC_monthly_peru['GC-BC Shallap (mg/m2*month)']= BCDST_flux2014_19m['DryDep_BC'].sel(lat=-9.5, lon=-77.5)[8:60].values+(ObsGC_monthly_peru['Obs/GC artemon_ratio']*(BCDST_flux2014_19m['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[8:60].values))\n",
    "ObsGC_monthly_peru['GC-BC Shallap [Anthro](mg/m2*month)']= BCDST_flux2014_19m_noGFED['DryDep_BC'].sel(lat=-9.5, lon=-77.5)[8:60].values+(ObsGC_monthly_peru['Obs/GC artemon_ratio']*(BCDST_flux2014_19m_noGFED['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[8:60].values))\n",
    "ObsGC_monthly_peru['GC-BC Shallap [fires](mg/m2*month)']= ObsGC_monthly_peru['GC-BC Shallap (mg/m2*month)']- ObsGC_monthly_peru['GC-BC Shallap [Anthro](mg/m2*month)']\n",
    "ObsGC_monthly_peru['GC-DST Shallap (mg/m2*month)']= BCDST_flux2014_19m['DryDep_DST'].sel(lat=-9.5, lon=-77.5)[8:60].values+(ObsGC_monthly_peru['Obs/GC artemon_ratio']*(BCDST_flux2014_19m['WetLossTotal_DST'].sel(lat=-9.5, lon=-77.5)[8:60].values))\n",
    "\n",
    "ObsGC_monthly_peru['GC-LAPS Shallap (mg/m2*month)']= ObsGC_monthly_peru['GC-BC Shallap (mg/m2*month)']+ ObsGC_monthly_peru['GC-DST Shallap (mg/m2*month)']\n",
    "\n",
    "ObsGC_monthly_peru.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/2909854424.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['precip_arte (m)']=clim_arte_1619_m['precip_Tot (mm)'][:-12].values/1000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>Obs/GC artemon_ratio</th>\n",
       "      <th>Yanapaccha_avg (ug/gr)</th>\n",
       "      <th>Yanapaccha_std (ug/gr)</th>\n",
       "      <th>GC-BC Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Yanapaccha (mg/m2*month)</th>\n",
       "      <th>Shallap_avg (ug/gr)</th>\n",
       "      <th>Shallap_std (ug/gr)</th>\n",
       "      <th>GC-BC Shallap (mg/m2*month)</th>\n",
       "      <th>GC-BC Shallap [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Shallap [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Shallap (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Shallap (mg/m2*month)</th>\n",
       "      <th>precip_arte (m)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2018-08-01</td>\n",
       "      <td>0.004681</td>\n",
       "      <td>0.008168</td>\n",
       "      <td>0.001929</td>\n",
       "      <td>0.122928</td>\n",
       "      <td>0.087729</td>\n",
       "      <td>0.035199</td>\n",
       "      <td>0.271653</td>\n",
       "      <td>0.394581</td>\n",
       "      <td>0.140076</td>\n",
       "      <td>0.002053</td>\n",
       "      <td>0.117346</td>\n",
       "      <td>0.094537</td>\n",
       "      <td>0.022809</td>\n",
       "      <td>0.399053</td>\n",
       "      <td>0.516399</td>\n",
       "      <td>0.02030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2018-09-01</td>\n",
       "      <td>0.015808</td>\n",
       "      <td>0.037130</td>\n",
       "      <td>0.002771</td>\n",
       "      <td>0.209612</td>\n",
       "      <td>0.110330</td>\n",
       "      <td>0.099282</td>\n",
       "      <td>0.397442</td>\n",
       "      <td>0.607054</td>\n",
       "      <td>0.306032</td>\n",
       "      <td>0.002472</td>\n",
       "      <td>0.200152</td>\n",
       "      <td>0.121129</td>\n",
       "      <td>0.079023</td>\n",
       "      <td>0.449566</td>\n",
       "      <td>0.649719</td>\n",
       "      <td>0.02286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2018-10-01</td>\n",
       "      <td>0.026117</td>\n",
       "      <td>0.012176</td>\n",
       "      <td>0.002354</td>\n",
       "      <td>0.212328</td>\n",
       "      <td>0.202590</td>\n",
       "      <td>0.009738</td>\n",
       "      <td>0.411468</td>\n",
       "      <td>0.623796</td>\n",
       "      <td>0.021334</td>\n",
       "      <td>0.001951</td>\n",
       "      <td>0.214342</td>\n",
       "      <td>0.202299</td>\n",
       "      <td>0.012043</td>\n",
       "      <td>0.413927</td>\n",
       "      <td>0.628269</td>\n",
       "      <td>0.12349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2018-11-01</td>\n",
       "      <td>0.017210</td>\n",
       "      <td>0.075192</td>\n",
       "      <td>0.002906</td>\n",
       "      <td>0.178713</td>\n",
       "      <td>0.176743</td>\n",
       "      <td>0.001970</td>\n",
       "      <td>0.324012</td>\n",
       "      <td>0.502725</td>\n",
       "      <td>0.287826</td>\n",
       "      <td>0.001821</td>\n",
       "      <td>0.182587</td>\n",
       "      <td>0.180396</td>\n",
       "      <td>0.002191</td>\n",
       "      <td>0.339855</td>\n",
       "      <td>0.522442</td>\n",
       "      <td>0.15060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2018-12-01</td>\n",
       "      <td>0.049458</td>\n",
       "      <td>0.026072</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>0.179085</td>\n",
       "      <td>0.174173</td>\n",
       "      <td>0.004912</td>\n",
       "      <td>2.711161</td>\n",
       "      <td>2.890246</td>\n",
       "      <td>0.058646</td>\n",
       "      <td>0.002150</td>\n",
       "      <td>0.184028</td>\n",
       "      <td>0.179772</td>\n",
       "      <td>0.004256</td>\n",
       "      <td>2.468370</td>\n",
       "      <td>2.652398</td>\n",
       "      <td>0.13967</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     datetime  Obs/GC artemon_ratio  Yanapaccha_avg (ug/gr)  \\\n",
       "47 2018-08-01              0.004681                0.008168   \n",
       "48 2018-09-01              0.015808                0.037130   \n",
       "49 2018-10-01              0.026117                0.012176   \n",
       "50 2018-11-01              0.017210                0.075192   \n",
       "51 2018-12-01              0.049458                0.026072   \n",
       "\n",
       "    Yanapaccha_std (ug/gr)  GC-BC Yanapaccha (mg/m2*month)  \\\n",
       "47                0.001929                        0.122928   \n",
       "48                0.002771                        0.209612   \n",
       "49                0.002354                        0.212328   \n",
       "50                0.002906                        0.178713   \n",
       "51                0.003397                        0.179085   \n",
       "\n",
       "    GC-BC Yanapaccha [Anthro](mg/m2*month)  \\\n",
       "47                                0.087729   \n",
       "48                                0.110330   \n",
       "49                                0.202590   \n",
       "50                                0.176743   \n",
       "51                                0.174173   \n",
       "\n",
       "    GC-BC Yanapaccha [fires](mg/m2*month)  GC-DST Yanapaccha (mg/m2*month)  \\\n",
       "47                               0.035199                         0.271653   \n",
       "48                               0.099282                         0.397442   \n",
       "49                               0.009738                         0.411468   \n",
       "50                               0.001970                         0.324012   \n",
       "51                               0.004912                         2.711161   \n",
       "\n",
       "    GC-LAPS Yanapaccha (mg/m2*month)  Shallap_avg (ug/gr)  \\\n",
       "47                          0.394581             0.140076   \n",
       "48                          0.607054             0.306032   \n",
       "49                          0.623796             0.021334   \n",
       "50                          0.502725             0.287826   \n",
       "51                          2.890246             0.058646   \n",
       "\n",
       "    Shallap_std (ug/gr)  GC-BC Shallap (mg/m2*month)  \\\n",
       "47             0.002053                     0.117346   \n",
       "48             0.002472                     0.200152   \n",
       "49             0.001951                     0.214342   \n",
       "50             0.001821                     0.182587   \n",
       "51             0.002150                     0.184028   \n",
       "\n",
       "    GC-BC Shallap [Anthro](mg/m2*month)  GC-BC Shallap [fires](mg/m2*month)  \\\n",
       "47                             0.094537                            0.022809   \n",
       "48                             0.121129                            0.079023   \n",
       "49                             0.202299                            0.012043   \n",
       "50                             0.180396                            0.002191   \n",
       "51                             0.179772                            0.004256   \n",
       "\n",
       "    GC-DST Shallap (mg/m2*month)  GC-LAPS Shallap (mg/m2*month)  \\\n",
       "47                      0.399053                       0.516399   \n",
       "48                      0.449566                       0.649719   \n",
       "49                      0.413927                       0.628269   \n",
       "50                      0.339855                       0.522442   \n",
       "51                      2.468370                       2.652398   \n",
       "\n",
       "    precip_arte (m)  \n",
       "47          0.02030  \n",
       "48          0.02286  \n",
       "49          0.12349  \n",
       "50          0.15060  \n",
       "51          0.13967  "
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#### getting results for 2016 -2020\n",
    "ObsGC_monthly_peru_2016_19= pd.DataFrame()\n",
    "ObsGC_monthly_peru_2016_19=ObsGC_monthly_peru[16:]\n",
    "ObsGC_monthly_peru_2016_19['precip_arte (m)']=clim_arte_1619_m['precip_Tot (mm)'][:-12].values/1000\n",
    "ObsGC_monthly_peru_2016_19.tail()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.09506864778802643 0.41038161553002006 0.3087795000772978\n",
      "-0.0724512231038732 0.4802458309600972 0.10808527174191719\n"
     ]
    }
   ],
   "source": [
    "yan_obs_GC_BC_cor= ObsGC_monthly_peru['Yanapaccha_avg (ug/gr)'].corr(ObsGC_monthly_peru['GC-BC Yanapaccha (mg/m2*month)'])\n",
    "yan_obs_GC_BCfire_cor= ObsGC_monthly_peru['Yanapaccha_avg (ug/gr)'].corr(ObsGC_monthly_peru['GC-BC Yanapaccha [fires](mg/m2*month)'])\n",
    "yan_obs_GC_LAPS_cor= ObsGC_monthly_peru['Yanapaccha_avg (ug/gr)'].corr(ObsGC_monthly_peru['GC-LAPS Yanapaccha (mg/m2*month)'])\n",
    "\n",
    "sha_obs_GC_BC_cor= ObsGC_monthly_peru['Shallap_avg (ug/gr)'].corr(ObsGC_monthly_peru['GC-BC Shallap (mg/m2*month)'])\n",
    "sha_obs_GC_BCfire_cor= ObsGC_monthly_peru['Shallap_avg (ug/gr)'].corr(ObsGC_monthly_peru['GC-BC Shallap [fires](mg/m2*month)'])\n",
    "sha_obs_GC_LAPS_cor= ObsGC_monthly_peru['Shallap_avg (ug/gr)'].corr(ObsGC_monthly_peru['GC-LAPS Shallap (mg/m2*month)'])\n",
    "\n",
    "\n",
    "print(yan_obs_GC_BC_cor,yan_obs_GC_BCfire_cor,yan_obs_GC_LAPS_cor)\n",
    "\n",
    "print(sha_obs_GC_BC_cor,sha_obs_GC_BCfire_cor,sha_obs_GC_LAPS_cor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>datetime</th>\n",
       "      <th>Obs/GC artemon_ratio</th>\n",
       "      <th>Yanapaccha_avg (ug/gr)</th>\n",
       "      <th>Yanapaccha_std (ug/gr)</th>\n",
       "      <th>GC-BC Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Yanapaccha (mg/m2*month)</th>\n",
       "      <th>Shallap_avg (ug/gr)</th>\n",
       "      <th>Shallap_std (ug/gr)</th>\n",
       "      <th>GC-BC Shallap (mg/m2*month)</th>\n",
       "      <th>GC-BC Shallap [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Shallap [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Shallap (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Shallap (mg/m2*month)</th>\n",
       "      <th>precip ratio [Artesonraju]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>0.154570</td>\n",
       "      <td>0.203070</td>\n",
       "      <td>0.001554</td>\n",
       "      <td>0.451132</td>\n",
       "      <td>0.379461</td>\n",
       "      <td>0.071671</td>\n",
       "      <td>3.865026</td>\n",
       "      <td>4.316158</td>\n",
       "      <td>0.394754</td>\n",
       "      <td>0.002553</td>\n",
       "      <td>0.456163</td>\n",
       "      <td>0.388438</td>\n",
       "      <td>0.067725</td>\n",
       "      <td>3.049639</td>\n",
       "      <td>3.505802</td>\n",
       "      <td>0.075465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17</td>\n",
       "      <td>2016-02-01</td>\n",
       "      <td>0.161626</td>\n",
       "      <td>0.500172</td>\n",
       "      <td>0.001878</td>\n",
       "      <td>0.294954</td>\n",
       "      <td>0.266857</td>\n",
       "      <td>0.028098</td>\n",
       "      <td>7.765269</td>\n",
       "      <td>8.060223</td>\n",
       "      <td>0.427336</td>\n",
       "      <td>0.001626</td>\n",
       "      <td>0.310811</td>\n",
       "      <td>0.283488</td>\n",
       "      <td>0.027323</td>\n",
       "      <td>7.497661</td>\n",
       "      <td>7.808472</td>\n",
       "      <td>0.079147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18</td>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>0.101346</td>\n",
       "      <td>0.283864</td>\n",
       "      <td>0.002376</td>\n",
       "      <td>0.341204</td>\n",
       "      <td>0.311454</td>\n",
       "      <td>0.029749</td>\n",
       "      <td>7.278696</td>\n",
       "      <td>7.619900</td>\n",
       "      <td>0.383046</td>\n",
       "      <td>0.002479</td>\n",
       "      <td>0.351915</td>\n",
       "      <td>0.322874</td>\n",
       "      <td>0.029041</td>\n",
       "      <td>6.529132</td>\n",
       "      <td>6.881048</td>\n",
       "      <td>0.111005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>0.065922</td>\n",
       "      <td>0.096610</td>\n",
       "      <td>0.001408</td>\n",
       "      <td>0.215487</td>\n",
       "      <td>0.210857</td>\n",
       "      <td>0.004630</td>\n",
       "      <td>0.825338</td>\n",
       "      <td>1.040825</td>\n",
       "      <td>0.176104</td>\n",
       "      <td>0.002439</td>\n",
       "      <td>0.225811</td>\n",
       "      <td>0.220954</td>\n",
       "      <td>0.004857</td>\n",
       "      <td>0.758629</td>\n",
       "      <td>0.984440</td>\n",
       "      <td>0.092422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>2016-05-01</td>\n",
       "      <td>0.012534</td>\n",
       "      <td>0.138368</td>\n",
       "      <td>0.002037</td>\n",
       "      <td>0.094013</td>\n",
       "      <td>0.090908</td>\n",
       "      <td>0.003106</td>\n",
       "      <td>0.188867</td>\n",
       "      <td>0.282881</td>\n",
       "      <td>0.283992</td>\n",
       "      <td>0.001928</td>\n",
       "      <td>0.105536</td>\n",
       "      <td>0.103567</td>\n",
       "      <td>0.001969</td>\n",
       "      <td>0.156546</td>\n",
       "      <td>0.262081</td>\n",
       "      <td>0.001817</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index   datetime  Obs/GC artemon_ratio  Yanapaccha_avg (ug/gr)  \\\n",
       "0     16 2016-01-01              0.154570                0.203070   \n",
       "1     17 2016-02-01              0.161626                0.500172   \n",
       "2     18 2016-03-01              0.101346                0.283864   \n",
       "3     19 2016-04-01              0.065922                0.096610   \n",
       "4     20 2016-05-01              0.012534                0.138368   \n",
       "\n",
       "   Yanapaccha_std (ug/gr)  GC-BC Yanapaccha (mg/m2*month)  \\\n",
       "0                0.001554                        0.451132   \n",
       "1                0.001878                        0.294954   \n",
       "2                0.002376                        0.341204   \n",
       "3                0.001408                        0.215487   \n",
       "4                0.002037                        0.094013   \n",
       "\n",
       "   GC-BC Yanapaccha [Anthro](mg/m2*month)  \\\n",
       "0                                0.379461   \n",
       "1                                0.266857   \n",
       "2                                0.311454   \n",
       "3                                0.210857   \n",
       "4                                0.090908   \n",
       "\n",
       "   GC-BC Yanapaccha [fires](mg/m2*month)  GC-DST Yanapaccha (mg/m2*month)  \\\n",
       "0                               0.071671                         3.865026   \n",
       "1                               0.028098                         7.765269   \n",
       "2                               0.029749                         7.278696   \n",
       "3                               0.004630                         0.825338   \n",
       "4                               0.003106                         0.188867   \n",
       "\n",
       "   GC-LAPS Yanapaccha (mg/m2*month)  Shallap_avg (ug/gr)  Shallap_std (ug/gr)  \\\n",
       "0                          4.316158             0.394754             0.002553   \n",
       "1                          8.060223             0.427336             0.001626   \n",
       "2                          7.619900             0.383046             0.002479   \n",
       "3                          1.040825             0.176104             0.002439   \n",
       "4                          0.282881             0.283992             0.001928   \n",
       "\n",
       "   GC-BC Shallap (mg/m2*month)  GC-BC Shallap [Anthro](mg/m2*month)  \\\n",
       "0                     0.456163                             0.388438   \n",
       "1                     0.310811                             0.283488   \n",
       "2                     0.351915                             0.322874   \n",
       "3                     0.225811                             0.220954   \n",
       "4                     0.105536                             0.103567   \n",
       "\n",
       "   GC-BC Shallap [fires](mg/m2*month)  GC-DST Shallap (mg/m2*month)  \\\n",
       "0                            0.067725                      3.049639   \n",
       "1                            0.027323                      7.497661   \n",
       "2                            0.029041                      6.529132   \n",
       "3                            0.004857                      0.758629   \n",
       "4                            0.001969                      0.156546   \n",
       "\n",
       "   GC-LAPS Shallap (mg/m2*month)  precip ratio [Artesonraju]  \n",
       "0                       3.505802                    0.075465  \n",
       "1                       7.808472                    0.079147  \n",
       "2                       6.881048                    0.111005  \n",
       "3                       0.984440                    0.092422  \n",
       "4                       0.262081                    0.001817  "
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#clim_arte_1619_m[0:36]\n",
    "ObsGC_monthly_peru16_19= ObsGC_monthly_peru[16:].copy().reset_index()\n",
    "ObsGC_monthly_peru16_19['precip ratio [Artesonraju]']= clim_arte_1619_m['Obs/GC ratio'][0:36]\n",
    "ObsGC_monthly_peru16_19['GC-BC Yanapaccha (mg/m2*month)']= BCDST_flux2014_19m['DryDep_BC'].sel(lat=-9, lon=-77.5)[24:60].values+(ObsGC_monthly_peru16_19['precip ratio [Artesonraju]']*(BCDST_flux2014_19m['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[24:60].values))\n",
    "ObsGC_monthly_peru16_19['GC-BC Yanapaccha [Anthro](mg/m2*month)']= BCDST_flux2014_19m_noGFED['DryDep_BC'].sel(lat=-9, lon=-77.5)[24:60].values+(ObsGC_monthly_peru16_19['precip ratio [Artesonraju]']*(BCDST_flux2014_19m_noGFED['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[24:60].values))\n",
    "ObsGC_monthly_peru16_19['GC-BC Yanapaccha [fires](mg/m2*month)']= ObsGC_monthly_peru16_19['GC-BC Yanapaccha (mg/m2*month)']- ObsGC_monthly_peru16_19['GC-BC Yanapaccha [Anthro](mg/m2*month)']\n",
    "ObsGC_monthly_peru16_19['GC-DST Yanapaccha (mg/m2*month)']= BCDST_flux2014_19m['DryDep_DST'].sel(lat=-9, lon=-77.5)[24:60].values+(ObsGC_monthly_peru16_19['precip ratio [Artesonraju]']*(BCDST_flux2014_19m['WetLossTotal_DST'].sel(lat=-9, lon=-77.5)[24:60].values))\n",
    "ObsGC_monthly_peru16_19['GC-LAPS Yanapaccha (mg/m2*month)']= ObsGC_monthly_peru16_19['GC-BC Yanapaccha (mg/m2*month)']+ ObsGC_monthly_peru16_19['GC-DST Yanapaccha (mg/m2*month)']\n",
    "\n",
    "ObsGC_monthly_peru16_19['GC-BC Shallap (mg/m2*month)']= BCDST_flux2014_19m['DryDep_BC'].sel(lat=-9.5, lon=-77.5)[24:60].values+(ObsGC_monthly_peru16_19['precip ratio [Artesonraju]']*(BCDST_flux2014_19m['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[24:60].values))\n",
    "ObsGC_monthly_peru16_19['GC-BC Shallap [Anthro](mg/m2*month)']= BCDST_flux2014_19m_noGFED['DryDep_BC'].sel(lat=-9.5, lon=-77.5)[24:60].values+(ObsGC_monthly_peru16_19['precip ratio [Artesonraju]']*(BCDST_flux2014_19m_noGFED['WetLossTotal_BC'].sel(lat=-9, lon=-77.5)[24:60].values))\n",
    "ObsGC_monthly_peru16_19['GC-BC Shallap [fires](mg/m2*month)']= ObsGC_monthly_peru16_19['GC-BC Shallap (mg/m2*month)']- ObsGC_monthly_peru16_19['GC-BC Shallap [Anthro](mg/m2*month)']\n",
    "ObsGC_monthly_peru16_19['GC-DST Shallap (mg/m2*month)']= BCDST_flux2014_19m['DryDep_DST'].sel(lat=-9.5, lon=-77.5)[24:60].values+(ObsGC_monthly_peru16_19['precip ratio [Artesonraju]']*(BCDST_flux2014_19m['WetLossTotal_DST'].sel(lat=-9.5, lon=-77.5)[24:60].values))\n",
    "ObsGC_monthly_peru16_19['GC-LAPS Shallap (mg/m2*month)']= ObsGC_monthly_peru16_19['GC-BC Shallap (mg/m2*month)']+ ObsGC_monthly_peru16_19['GC-DST Shallap (mg/m2*month)']\n",
    "\n",
    "ObsGC_monthly_peru16_19.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.04462738967954029 0.5106996466383795 0.2105654301985241\n",
      "-0.1659808774710522 0.3600595408309286 0.08474906949549753\n"
     ]
    }
   ],
   "source": [
    "\n",
    "       \n",
    "yan_obs_GC_BC_cor= ObsGC_monthly_peru16_19['Yanapaccha_avg (ug/gr)'].corr(ObsGC_monthly_peru16_19['GC-BC Yanapaccha (mg/m2*month)'])\n",
    "yan_obs_GC_BCfire_cor= ObsGC_monthly_peru16_19['Yanapaccha_avg (ug/gr)'].corr(ObsGC_monthly_peru16_19['GC-BC Yanapaccha [fires](mg/m2*month)'])\n",
    "yan_obs_GC_LAPS_cor= ObsGC_monthly_peru16_19['Yanapaccha_avg (ug/gr)'].corr(ObsGC_monthly_peru16_19['GC-LAPS Yanapaccha (mg/m2*month)'])\n",
    "\n",
    "sha_obs_GC_BC_cor= ObsGC_monthly_peru16_19['Shallap_avg (ug/gr)'].corr(ObsGC_monthly_peru16_19['GC-BC Shallap (mg/m2*month)'])\n",
    "sha_obs_GC_BCfire_cor= ObsGC_monthly_peru16_19['Shallap_avg (ug/gr)'].corr(ObsGC_monthly_peru16_19['GC-BC Shallap [fires](mg/m2*month)'])\n",
    "sha_obs_GC_LAPS_cor= ObsGC_monthly_peru16_19['Shallap_avg (ug/gr)'].corr(ObsGC_monthly_peru16_19['GC-LAPS Shallap (mg/m2*month)'])\n",
    "\n",
    "\n",
    "print(yan_obs_GC_BC_cor,yan_obs_GC_BCfire_cor,yan_obs_GC_LAPS_cor)\n",
    "\n",
    "print(sha_obs_GC_BC_cor,sha_obs_GC_BCfire_cor,sha_obs_GC_LAPS_cor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (time: 72, lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 2014-01-01 ... 2019-12-01\n",
       "  * lon                  (lon) float64 -85.0 -84.38 -83.75 ... -30.62 -30.0\n",
       "  * lat                  (lat) float64 -60.0 -59.5 -59.0 ... 14.0 14.5 15.0\n",
       "Data variables:\n",
       "    Met_PRECTOT          (time, lat, lon) float32 107.5 109.2 ... 2.958 2.967\n",
       "    Met_PRECTOT_m_month  (time, lat, lon) float32 0.1075 0.1092 ... 0.002967\n",
       "Attributes:\n",
       "    units:    mm month-1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9685d47b-4cbe-4b22-9e4b-4d5dde1e6498' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9685d47b-4cbe-4b22-9e4b-4d5dde1e6498' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 72</li><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-de7f5f42-5c98-4f81-a1b6-eb0789a9ef63' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de7f5f42-5c98-4f81-a1b6-eb0789a9ef63' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-01-01 ... 2019-12-01</div><input id='attrs-5f570c96-2b35-4aae-b87e-8f14c24b8814' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f570c96-2b35-4aae-b87e-8f14c24b8814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeb0b521-4826-4a2e-ae8e-66bf20567bd5' class='xr-var-data-in' type='checkbox'><label for='data-eeb0b521-4826-4a2e-ae8e-66bf20567bd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-01-01T00:00:00.000000000&#x27;, &#x27;2014-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-03-01T00:00:00.000000000&#x27;, &#x27;2014-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-05-01T00:00:00.000000000&#x27;, &#x27;2014-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-07-01T00:00:00.000000000&#x27;, &#x27;2014-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-09-01T00:00:00.000000000&#x27;, &#x27;2014-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-11-01T00:00:00.000000000&#x27;, &#x27;2014-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-03-01T00:00:00.000000000&#x27;, &#x27;2015-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-05-01T00:00:00.000000000&#x27;, &#x27;2015-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-01-01T00:00:00.000000000&#x27;, &#x27;2016-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-03-01T00:00:00.000000000&#x27;, &#x27;2016-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-05-01T00:00:00.000000000&#x27;, &#x27;2016-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-07-01T00:00:00.000000000&#x27;, &#x27;2016-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-09-01T00:00:00.000000000&#x27;, &#x27;2016-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-11-01T00:00:00.000000000&#x27;, &#x27;2016-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2017-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-03-01T00:00:00.000000000&#x27;, &#x27;2017-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-05-01T00:00:00.000000000&#x27;, &#x27;2017-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-07-01T00:00:00.000000000&#x27;, &#x27;2017-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-09-01T00:00:00.000000000&#x27;, &#x27;2017-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-11-01T00:00:00.000000000&#x27;, &#x27;2017-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-01-01T00:00:00.000000000&#x27;, &#x27;2018-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-01T00:00:00.000000000&#x27;, &#x27;2018-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-05-01T00:00:00.000000000&#x27;, &#x27;2018-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-07-01T00:00:00.000000000&#x27;, &#x27;2018-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-01T00:00:00.000000000&#x27;, &#x27;2018-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-11-01T00:00:00.000000000&#x27;, &#x27;2018-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T00:00:00.000000000&#x27;, &#x27;2019-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-01T00:00:00.000000000&#x27;, &#x27;2019-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-01T00:00:00.000000000&#x27;, &#x27;2019-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-01T00:00:00.000000000&#x27;, &#x27;2019-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-01T00:00:00.000000000&#x27;, &#x27;2019-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-11-01T00:00:00.000000000&#x27;, &#x27;2019-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-b20f5bec-420e-4acd-b368-b6832183d785' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b20f5bec-420e-4acd-b368-b6832183d785' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-025a0297-e9a1-4525-aef2-6169f9aefef9' class='xr-var-data-in' type='checkbox'><label for='data-025a0297-e9a1-4525-aef2-6169f9aefef9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-ff4cd58a-a8af-44bd-9941-346ea9e6dd99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff4cd58a-a8af-44bd-9941-346ea9e6dd99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ca4491d-0084-4176-b2f5-ed0426b98fe0' class='xr-var-data-in' type='checkbox'><label for='data-8ca4491d-0084-4176-b2f5-ed0426b98fe0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf519dc8-4819-4ba9-a3b1-85c1dffc6588' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf519dc8-4819-4ba9-a3b1-85c1dffc6588' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Met_PRECTOT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>107.5 109.2 108.2 ... 2.958 2.967</div><input id='attrs-1426753c-2773-4231-a520-041164ca7c3c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1426753c-2773-4231-a520-041164ca7c3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ec2db3a-da0f-4686-ac26-88a843459568' class='xr-var-data-in' type='checkbox'><label for='data-6ec2db3a-da0f-4686-ac26-88a843459568' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[107.48455  , 109.17443  , 108.1813   , ...,  48.3246   ,\n",
       "          47.86107  ,  47.512554 ],\n",
       "        [117.82065  , 118.953445 , 113.02686  , ...,  48.84519  ,\n",
       "          47.679367 ,  47.409103 ],\n",
       "        [121.85762  , 121.62723  , 115.72069  , ...,  51.644634 ,\n",
       "          51.028736 ,  51.353504 ],\n",
       "        ...,\n",
       "        [200.99986  , 144.55795  , 140.05528  , ...,   3.1995807,\n",
       "           3.4421613,   3.806477 ],\n",
       "        [180.1234   , 166.90288  , 145.68196  , ...,   4.4666333,\n",
       "           4.2344966,   4.181942 ],\n",
       "        [191.80618  , 198.56876  , 169.42935  , ...,   4.569736 ,\n",
       "           4.0839314,   3.6452887]],\n",
       "\n",
       "       [[115.05344  , 114.02562  , 112.96066  , ...,  56.93204  ,\n",
       "          57.113674 ,  57.68286  ],\n",
       "        [122.259186 , 120.83375  , 118.97358  , ...,  66.2157   ,\n",
       "          66.59253  ,  67.17575  ],\n",
       "        [120.40012  , 120.68524  , 124.951584 , ...,  70.811424 ,\n",
       "          69.94381  ,  69.79935  ],\n",
       "...\n",
       "        [145.24458  , 114.677826 , 112.29708  , ...,  11.888963 ,\n",
       "           9.896406 ,   8.067936 ],\n",
       "        [113.88962  , 127.15455  , 103.81118  , ...,  10.140235 ,\n",
       "           8.194162 ,   6.689873 ],\n",
       "        [111.22532  , 138.6112   , 109.965546 , ...,  10.440656 ,\n",
       "           8.537191 ,   7.1945057]],\n",
       "\n",
       "       [[ 64.922104 ,  68.699295 ,  73.15871  , ...,  72.08258  ,\n",
       "          73.743    ,  75.06912  ],\n",
       "        [ 64.044815 ,  67.30898  ,  70.888466 , ...,  70.286835 ,\n",
       "          70.38283  ,  71.614746 ],\n",
       "        [ 65.37664  ,  68.0054   ,  70.51009  , ...,  72.10615  ,\n",
       "          68.68381  ,  68.4342   ],\n",
       "        ...,\n",
       "        [ 79.585754 ,  86.87953  , 102.22494  , ...,   3.1736562,\n",
       "           2.7991104,   3.130098 ],\n",
       "        [ 61.53824  ,  76.583206 ,  96.592964 , ...,   2.786372 ,\n",
       "           2.6892068,   2.841262 ],\n",
       "        [ 74.35299  ,  82.505196 ,  94.34435  , ...,   3.1638136,\n",
       "           2.9575422,   2.9665675]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Met_PRECTOT_m_month</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1075 0.1092 ... 0.002958 0.002967</div><input id='attrs-47d74b26-9525-4532-8012-b82a68ed5855' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47d74b26-9525-4532-8012-b82a68ed5855' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86929087-aef9-4d53-9ebc-654d17db50cb' class='xr-var-data-in' type='checkbox'><label for='data-86929087-aef9-4d53-9ebc-654d17db50cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m month-1</dd></dl></div><div class='xr-var-data'><pre>array([[[0.10748455, 0.10917443, 0.1081813 , ..., 0.0483246 ,\n",
       "         0.04786107, 0.04751255],\n",
       "        [0.11782065, 0.11895344, 0.11302686, ..., 0.04884519,\n",
       "         0.04767937, 0.0474091 ],\n",
       "        [0.12185762, 0.12162723, 0.11572069, ..., 0.05164463,\n",
       "         0.05102874, 0.0513535 ],\n",
       "        ...,\n",
       "        [0.20099986, 0.14455795, 0.14005528, ..., 0.00319958,\n",
       "         0.00344216, 0.00380648],\n",
       "        [0.1801234 , 0.16690288, 0.14568196, ..., 0.00446663,\n",
       "         0.0042345 , 0.00418194],\n",
       "        [0.19180618, 0.19856876, 0.16942935, ..., 0.00456974,\n",
       "         0.00408393, 0.00364529]],\n",
       "\n",
       "       [[0.11505344, 0.11402562, 0.11296067, ..., 0.05693204,\n",
       "         0.05711367, 0.05768286],\n",
       "        [0.12225918, 0.12083375, 0.11897358, ..., 0.0662157 ,\n",
       "         0.06659253, 0.06717575],\n",
       "        [0.12040012, 0.12068524, 0.12495159, ..., 0.07081142,\n",
       "         0.06994381, 0.06979935],\n",
       "...\n",
       "        [0.14524458, 0.11467782, 0.11229708, ..., 0.01188896,\n",
       "         0.00989641, 0.00806794],\n",
       "        [0.11388962, 0.12715454, 0.10381118, ..., 0.01014023,\n",
       "         0.00819416, 0.00668987],\n",
       "        [0.11122532, 0.13861121, 0.10996555, ..., 0.01044066,\n",
       "         0.00853719, 0.00719451]],\n",
       "\n",
       "       [[0.0649221 , 0.06869929, 0.0731587 , ..., 0.07208258,\n",
       "         0.07374299, 0.07506912],\n",
       "        [0.06404482, 0.06730898, 0.07088847, ..., 0.07028683,\n",
       "         0.07038283, 0.07161475],\n",
       "        [0.06537664, 0.0680054 , 0.0705101 , ..., 0.07210615,\n",
       "         0.06868381, 0.06843419],\n",
       "        ...,\n",
       "        [0.07958575, 0.08687953, 0.10222494, ..., 0.00317366,\n",
       "         0.00279911, 0.0031301 ],\n",
       "        [0.06153824, 0.07658321, 0.09659296, ..., 0.00278637,\n",
       "         0.00268921, 0.00284126],\n",
       "        [0.07435299, 0.0825052 , 0.09434436, ..., 0.00316381,\n",
       "         0.00295754, 0.00296657]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71732763-0375-429a-bfbd-deb12acf47bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71732763-0375-429a-bfbd-deb12acf47bc' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm month-1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (time: 72, lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 2014-01-01 ... 2019-12-01\n",
       "  * lon                  (lon) float64 -85.0 -84.38 -83.75 ... -30.62 -30.0\n",
       "  * lat                  (lat) float64 -60.0 -59.5 -59.0 ... 14.0 14.5 15.0\n",
       "Data variables:\n",
       "    Met_PRECTOT          (time, lat, lon) float32 107.5 109.2 ... 2.958 2.967\n",
       "    Met_PRECTOT_m_month  (time, lat, lon) float32 0.1075 0.1092 ... 0.002967\n",
       "Attributes:\n",
       "    units:    mm month-1"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get monthly sums from 'mm month-1' to 'm month-1'\n",
    "# add the monthly \n",
    "prectot_2014_19m['Met_PRECTOT_m_month']= prectot_2014_19m['Met_PRECTOT']/1000 \n",
    "prectot_2014_19m['Met_PRECTOT_m_month'].attrs['units']='m month-1'\n",
    "prectot_2014_19m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>Obs/GC artemon_ratio</th>\n",
       "      <th>Yanapaccha_avg (ug/gr)</th>\n",
       "      <th>Yanapaccha_std (ug/gr)</th>\n",
       "      <th>GC-BC Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Yanapaccha (mg/m2*month)</th>\n",
       "      <th>Shallap_avg (ug/gr)</th>\n",
       "      <th>...</th>\n",
       "      <th>GC-DST Yanapaccha (ppb)</th>\n",
       "      <th>GC-LAPS Yanapaccha (ppb)</th>\n",
       "      <th>precip-Shallap (m month-1)</th>\n",
       "      <th>Shallap_avg (ng/gr)</th>\n",
       "      <th>Shallap_std (ng/gr)</th>\n",
       "      <th>GC-BC Shallap (ppb)</th>\n",
       "      <th>GC-BC Shallap [Anthro](ppb)</th>\n",
       "      <th>GC-BC Shallap [fires](ppb)</th>\n",
       "      <th>GC-DST Shallap (ppb)</th>\n",
       "      <th>GC-LAPS Shallap (ppb)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>0.015808</td>\n",
       "      <td>0.017150</td>\n",
       "      <td>0.001083</td>\n",
       "      <td>0.156501</td>\n",
       "      <td>0.102639</td>\n",
       "      <td>0.053862</td>\n",
       "      <td>0.328775</td>\n",
       "      <td>0.485276</td>\n",
       "      <td>0.298082</td>\n",
       "      <td>...</td>\n",
       "      <td>0.677585</td>\n",
       "      <td>1.000125</td>\n",
       "      <td>0.423102</td>\n",
       "      <td>298.082</td>\n",
       "      <td>2.404178</td>\n",
       "      <td>0.364588</td>\n",
       "      <td>0.264543</td>\n",
       "      <td>0.100045</td>\n",
       "      <td>0.700332</td>\n",
       "      <td>1.064920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>0.026117</td>\n",
       "      <td>0.012638</td>\n",
       "      <td>0.001649</td>\n",
       "      <td>0.168733</td>\n",
       "      <td>0.130397</td>\n",
       "      <td>0.038337</td>\n",
       "      <td>0.293284</td>\n",
       "      <td>0.462017</td>\n",
       "      <td>0.082748</td>\n",
       "      <td>...</td>\n",
       "      <td>0.639836</td>\n",
       "      <td>1.007949</td>\n",
       "      <td>0.372484</td>\n",
       "      <td>82.748</td>\n",
       "      <td>3.008234</td>\n",
       "      <td>0.438995</td>\n",
       "      <td>0.353841</td>\n",
       "      <td>0.085154</td>\n",
       "      <td>0.752839</td>\n",
       "      <td>1.191834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>0.017210</td>\n",
       "      <td>0.046872</td>\n",
       "      <td>0.001645</td>\n",
       "      <td>0.171976</td>\n",
       "      <td>0.167818</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.421990</td>\n",
       "      <td>0.593966</td>\n",
       "      <td>0.089812</td>\n",
       "      <td>...</td>\n",
       "      <td>1.003489</td>\n",
       "      <td>1.412446</td>\n",
       "      <td>0.322580</td>\n",
       "      <td>89.812</td>\n",
       "      <td>3.386439</td>\n",
       "      <td>0.536429</td>\n",
       "      <td>0.523688</td>\n",
       "      <td>0.012742</td>\n",
       "      <td>1.264859</td>\n",
       "      <td>1.801288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>0.049458</td>\n",
       "      <td>0.089092</td>\n",
       "      <td>0.001731</td>\n",
       "      <td>0.242049</td>\n",
       "      <td>0.238049</td>\n",
       "      <td>0.004000</td>\n",
       "      <td>0.929609</td>\n",
       "      <td>1.171658</td>\n",
       "      <td>0.173636</td>\n",
       "      <td>...</td>\n",
       "      <td>1.794066</td>\n",
       "      <td>2.261200</td>\n",
       "      <td>0.468135</td>\n",
       "      <td>173.636</td>\n",
       "      <td>2.125342</td>\n",
       "      <td>0.510160</td>\n",
       "      <td>0.502080</td>\n",
       "      <td>0.008079</td>\n",
       "      <td>1.824353</td>\n",
       "      <td>2.334512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>0.154570</td>\n",
       "      <td>0.033030</td>\n",
       "      <td>0.002367</td>\n",
       "      <td>0.602151</td>\n",
       "      <td>0.585886</td>\n",
       "      <td>0.016265</td>\n",
       "      <td>9.987661</td>\n",
       "      <td>10.589812</td>\n",
       "      <td>0.079964</td>\n",
       "      <td>...</td>\n",
       "      <td>11.063450</td>\n",
       "      <td>11.730460</td>\n",
       "      <td>0.726019</td>\n",
       "      <td>79.964</td>\n",
       "      <td>2.390372</td>\n",
       "      <td>0.835078</td>\n",
       "      <td>0.813272</td>\n",
       "      <td>0.021806</td>\n",
       "      <td>12.418360</td>\n",
       "      <td>13.253438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    datetime  Obs/GC artemon_ratio  Yanapaccha_avg (ug/gr)  \\\n",
       "0 2014-09-01              0.015808                0.017150   \n",
       "1 2014-10-01              0.026117                0.012638   \n",
       "2 2014-11-01              0.017210                0.046872   \n",
       "3 2014-12-01              0.049458                0.089092   \n",
       "4 2015-01-01              0.154570                0.033030   \n",
       "\n",
       "   Yanapaccha_std (ug/gr)  GC-BC Yanapaccha (mg/m2*month)  \\\n",
       "0                0.001083                        0.156501   \n",
       "1                0.001649                        0.168733   \n",
       "2                0.001645                        0.171976   \n",
       "3                0.001731                        0.242049   \n",
       "4                0.002367                        0.602151   \n",
       "\n",
       "   GC-BC Yanapaccha [Anthro](mg/m2*month)  \\\n",
       "0                                0.102639   \n",
       "1                                0.130397   \n",
       "2                                0.167818   \n",
       "3                                0.238049   \n",
       "4                                0.585886   \n",
       "\n",
       "   GC-BC Yanapaccha [fires](mg/m2*month)  GC-DST Yanapaccha (mg/m2*month)  \\\n",
       "0                               0.053862                         0.328775   \n",
       "1                               0.038337                         0.293284   \n",
       "2                               0.004158                         0.421990   \n",
       "3                               0.004000                         0.929609   \n",
       "4                               0.016265                         9.987661   \n",
       "\n",
       "   GC-LAPS Yanapaccha (mg/m2*month)  Shallap_avg (ug/gr)  ...  \\\n",
       "0                          0.485276             0.298082  ...   \n",
       "1                          0.462017             0.082748  ...   \n",
       "2                          0.593966             0.089812  ...   \n",
       "3                          1.171658             0.173636  ...   \n",
       "4                         10.589812             0.079964  ...   \n",
       "\n",
       "   GC-DST Yanapaccha (ppb)  GC-LAPS Yanapaccha (ppb)  \\\n",
       "0                 0.677585                  1.000125   \n",
       "1                 0.639836                  1.007949   \n",
       "2                 1.003489                  1.412446   \n",
       "3                 1.794066                  2.261200   \n",
       "4                11.063450                 11.730460   \n",
       "\n",
       "   precip-Shallap (m month-1)  Shallap_avg (ng/gr)  Shallap_std (ng/gr)  \\\n",
       "0                    0.423102              298.082             2.404178   \n",
       "1                    0.372484               82.748             3.008234   \n",
       "2                    0.322580               89.812             3.386439   \n",
       "3                    0.468135              173.636             2.125342   \n",
       "4                    0.726019               79.964             2.390372   \n",
       "\n",
       "   GC-BC Shallap (ppb)  GC-BC Shallap [Anthro](ppb)  \\\n",
       "0             0.364588                     0.264543   \n",
       "1             0.438995                     0.353841   \n",
       "2             0.536429                     0.523688   \n",
       "3             0.510160                     0.502080   \n",
       "4             0.835078                     0.813272   \n",
       "\n",
       "   GC-BC Shallap [fires](ppb)  GC-DST Shallap (ppb)  GC-LAPS Shallap (ppb)  \n",
       "0                    0.100045              0.700332               1.064920  \n",
       "1                    0.085154              0.752839               1.191834  \n",
       "2                    0.012742              1.264859               1.801288  \n",
       "3                    0.008079              1.824353               2.334512  \n",
       "4                    0.021806             12.418360              13.253438  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## add the monthly \n",
    "\n",
    "ObsGC_monthly_peru['Yanapaccha_avg (ng/gr)']=eBC_peru['Yanapaccha_avg'][0:52]\n",
    "ObsGC_monthly_peru['Yanapaccha_std (ng/gr)']=eBC_peru['Yanapaccha_std'][0:52]\n",
    "## (mg m-2 month-1) / (m month-1) = (mg/m3) / (997 kg /m3density of water) = (mg/kg of water) *(10**6 (ng/mg))* (1/1000 (kg/gr))\n",
    "\n",
    "ObsGC_monthly_peru['precip-Yannachapa (m month-1)']=prectot_2014_19m['Met_PRECTOT_m_month'].sel(lat=-9, lon=-77.5)[8:60].values\n",
    "ObsGC_monthly_peru['GC-BC Yanapaccha (ppb)']= (ObsGC_monthly_peru['GC-BC Yanapaccha (mg/m2*month)']/ObsGC_monthly_peru['precip-Yannachapa (m month-1)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru['GC-BC Yanapaccha [Anthro](ppb)']= (ObsGC_monthly_peru['GC-BC Yanapaccha [Anthro](mg/m2*month)']/ObsGC_monthly_peru['precip-Yannachapa (m month-1)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru['GC-BC Yanapaccha [fires](ppb)']= ObsGC_monthly_peru['GC-BC Yanapaccha (ppb)']- ObsGC_monthly_peru['GC-BC Yanapaccha [Anthro](ppb)']\n",
    "\n",
    "ObsGC_monthly_peru['GC-DST Yanapaccha (ppb)']= (ObsGC_monthly_peru['GC-DST Yanapaccha (mg/m2*month)']/ObsGC_monthly_peru['precip-Yannachapa (m month-1)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru['GC-LAPS Yanapaccha (ppb)']= ObsGC_monthly_peru['GC-BC Yanapaccha (ppb)']+ ObsGC_monthly_peru['GC-DST Yanapaccha (ppb)']\n",
    "\n",
    "ObsGC_monthly_peru['precip-Shallap (m month-1)']=prectot_2014_19m['Met_PRECTOT_m_month'].sel(lat=-9.5, lon=-77.5)[8:60].values\n",
    "ObsGC_monthly_peru['Shallap_avg (ng/gr)']= eBC_peru['Shallap_avg'][0:52]\n",
    "ObsGC_monthly_peru['Shallap_std (ng/gr)']= eBC_peru['Shallap_std'][0:52]\n",
    "ObsGC_monthly_peru['GC-BC Shallap (ppb)']=(ObsGC_monthly_peru['GC-BC Shallap (mg/m2*month)']/ObsGC_monthly_peru['precip-Shallap (m month-1)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru['GC-BC Shallap [Anthro](ppb)']= (ObsGC_monthly_peru['GC-BC Shallap [Anthro](mg/m2*month)']/ObsGC_monthly_peru['precip-Shallap (m month-1)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru['GC-BC Shallap [fires](ppb)']= ObsGC_monthly_peru['GC-BC Shallap (ppb)']- ObsGC_monthly_peru['GC-BC Shallap [Anthro](ppb)']\n",
    "ObsGC_monthly_peru['GC-DST Shallap (ppb)']= (ObsGC_monthly_peru['GC-DST Shallap (mg/m2*month)']/ObsGC_monthly_peru['precip-Shallap (m month-1)'])*(1/997)*(10**6)*(1/1000)\n",
    "\n",
    "ObsGC_monthly_peru['GC-LAPS Shallap (ppb)']= ObsGC_monthly_peru['GC-BC Shallap (ppb)']+ ObsGC_monthly_peru['GC-DST Shallap (ppb)']\n",
    "\n",
    "ObsGC_monthly_peru.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_32626/3945921852.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['precip_arte (m)']=clim_arte_1619_m['precip_Tot (mm)'][:-12].values/1000\n",
      "/tmp/ipykernel_32626/3945921852.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (ppb)']= (ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
      "/tmp/ipykernel_32626/3945921852.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [Anthro](ppb)']= (ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [Anthro](mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
      "/tmp/ipykernel_32626/3945921852.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [fires](ppb)']= ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (ppb)']- ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [Anthro](ppb)']\n",
      "/tmp/ipykernel_32626/3945921852.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-DST Yanapaccha (ppb)']= (ObsGC_monthly_peru_2016_19['GC-DST Yanapaccha (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
      "/tmp/ipykernel_32626/3945921852.py:13: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-LAPS Yanapaccha (ppb)']= ObsGC_monthly_peru['GC-BC Yanapaccha (ppb)']+ ObsGC_monthly_peru_2016_19['GC-DST Yanapaccha (ppb)']\n",
      "/tmp/ipykernel_32626/3945921852.py:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)']=(ObsGC_monthly_peru['GC-BC Shallap (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
      "/tmp/ipykernel_32626/3945921852.py:17: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-BC Shallap [Anthro](ppb)']= (ObsGC_monthly_peru_2016_19['GC-BC Shallap [Anthro](mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
      "/tmp/ipykernel_32626/3945921852.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-BC Shallap [fires](ppb)']= ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)']- ObsGC_monthly_peru_2016_19['GC-BC Shallap [Anthro](ppb)']\n",
      "/tmp/ipykernel_32626/3945921852.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-DST Shallap (ppb)']= (ObsGC_monthly_peru_2016_19['GC-DST Shallap (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
      "/tmp/ipykernel_32626/3945921852.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  ObsGC_monthly_peru_2016_19['GC-LAPS Shallap (ppb)']= ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)']+ ObsGC_monthly_peru_2016_19['GC-DST Shallap (ppb)']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>Obs/GC artemon_ratio</th>\n",
       "      <th>Yanapaccha_avg (ug/gr)</th>\n",
       "      <th>Yanapaccha_std (ug/gr)</th>\n",
       "      <th>GC-BC Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [Anthro](mg/m2*month)</th>\n",
       "      <th>GC-BC Yanapaccha [fires](mg/m2*month)</th>\n",
       "      <th>GC-DST Yanapaccha (mg/m2*month)</th>\n",
       "      <th>GC-LAPS Yanapaccha (mg/m2*month)</th>\n",
       "      <th>Shallap_avg (ug/gr)</th>\n",
       "      <th>...</th>\n",
       "      <th>GC-LAPS Yanapaccha (ppb)</th>\n",
       "      <th>precip-Shallap (m month-1)</th>\n",
       "      <th>Shallap_avg (ng/gr)</th>\n",
       "      <th>Shallap_std (ng/gr)</th>\n",
       "      <th>GC-BC Shallap (ppb)</th>\n",
       "      <th>GC-BC Shallap [Anthro](ppb)</th>\n",
       "      <th>GC-BC Shallap [fires](ppb)</th>\n",
       "      <th>GC-DST Shallap (ppb)</th>\n",
       "      <th>GC-LAPS Shallap (ppb)</th>\n",
       "      <th>precip_arte (m)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>0.154570</td>\n",
       "      <td>0.203070</td>\n",
       "      <td>0.001554</td>\n",
       "      <td>0.792586</td>\n",
       "      <td>0.658723</td>\n",
       "      <td>0.133863</td>\n",
       "      <td>6.829524</td>\n",
       "      <td>7.622110</td>\n",
       "      <td>0.394754</td>\n",
       "      <td>...</td>\n",
       "      <td>79.791066</td>\n",
       "      <td>0.501893</td>\n",
       "      <td>394.754</td>\n",
       "      <td>2.552857</td>\n",
       "      <td>9.183980</td>\n",
       "      <td>7.688076</td>\n",
       "      <td>1.495904</td>\n",
       "      <td>60.664338</td>\n",
       "      <td>69.848317</td>\n",
       "      <td>0.08711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2016-02-01</td>\n",
       "      <td>0.161626</td>\n",
       "      <td>0.500172</td>\n",
       "      <td>0.001878</td>\n",
       "      <td>0.513946</td>\n",
       "      <td>0.460609</td>\n",
       "      <td>0.053337</td>\n",
       "      <td>14.136918</td>\n",
       "      <td>14.650864</td>\n",
       "      <td>0.427336</td>\n",
       "      <td>...</td>\n",
       "      <td>63.710594</td>\n",
       "      <td>0.731461</td>\n",
       "      <td>427.336</td>\n",
       "      <td>1.625863</td>\n",
       "      <td>2.364388</td>\n",
       "      <td>2.129816</td>\n",
       "      <td>0.234572</td>\n",
       "      <td>61.371152</td>\n",
       "      <td>63.735540</td>\n",
       "      <td>0.22475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>0.101346</td>\n",
       "      <td>0.283864</td>\n",
       "      <td>0.002376</td>\n",
       "      <td>0.319574</td>\n",
       "      <td>0.292089</td>\n",
       "      <td>0.027485</td>\n",
       "      <td>6.742244</td>\n",
       "      <td>7.061818</td>\n",
       "      <td>0.383046</td>\n",
       "      <td>...</td>\n",
       "      <td>40.993424</td>\n",
       "      <td>0.529090</td>\n",
       "      <td>383.046</td>\n",
       "      <td>2.478847</td>\n",
       "      <td>1.983471</td>\n",
       "      <td>1.822667</td>\n",
       "      <td>0.160805</td>\n",
       "      <td>36.331640</td>\n",
       "      <td>38.315111</td>\n",
       "      <td>0.16702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>0.065922</td>\n",
       "      <td>0.096610</td>\n",
       "      <td>0.001408</td>\n",
       "      <td>0.176756</td>\n",
       "      <td>0.173090</td>\n",
       "      <td>0.003667</td>\n",
       "      <td>0.663178</td>\n",
       "      <td>0.839934</td>\n",
       "      <td>0.176104</td>\n",
       "      <td>...</td>\n",
       "      <td>6.897913</td>\n",
       "      <td>0.336757</td>\n",
       "      <td>176.104</td>\n",
       "      <td>2.439279</td>\n",
       "      <td>1.841270</td>\n",
       "      <td>1.802948</td>\n",
       "      <td>0.038322</td>\n",
       "      <td>5.995416</td>\n",
       "      <td>7.836686</td>\n",
       "      <td>0.10191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2016-05-01</td>\n",
       "      <td>0.012534</td>\n",
       "      <td>0.138368</td>\n",
       "      <td>0.002037</td>\n",
       "      <td>0.113271</td>\n",
       "      <td>0.109307</td>\n",
       "      <td>0.003965</td>\n",
       "      <td>0.218353</td>\n",
       "      <td>0.331625</td>\n",
       "      <td>0.283992</td>\n",
       "      <td>...</td>\n",
       "      <td>11.142406</td>\n",
       "      <td>0.190903</td>\n",
       "      <td>283.992</td>\n",
       "      <td>1.928139</td>\n",
       "      <td>6.187309</td>\n",
       "      <td>6.047104</td>\n",
       "      <td>0.140205</td>\n",
       "      <td>8.592469</td>\n",
       "      <td>14.779778</td>\n",
       "      <td>0.02023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     datetime  Obs/GC artemon_ratio  Yanapaccha_avg (ug/gr)  \\\n",
       "16 2016-01-01              0.154570                0.203070   \n",
       "17 2016-02-01              0.161626                0.500172   \n",
       "18 2016-03-01              0.101346                0.283864   \n",
       "19 2016-04-01              0.065922                0.096610   \n",
       "20 2016-05-01              0.012534                0.138368   \n",
       "\n",
       "    Yanapaccha_std (ug/gr)  GC-BC Yanapaccha (mg/m2*month)  \\\n",
       "16                0.001554                        0.792586   \n",
       "17                0.001878                        0.513946   \n",
       "18                0.002376                        0.319574   \n",
       "19                0.001408                        0.176756   \n",
       "20                0.002037                        0.113271   \n",
       "\n",
       "    GC-BC Yanapaccha [Anthro](mg/m2*month)  \\\n",
       "16                                0.658723   \n",
       "17                                0.460609   \n",
       "18                                0.292089   \n",
       "19                                0.173090   \n",
       "20                                0.109307   \n",
       "\n",
       "    GC-BC Yanapaccha [fires](mg/m2*month)  GC-DST Yanapaccha (mg/m2*month)  \\\n",
       "16                               0.133863                         6.829524   \n",
       "17                               0.053337                        14.136918   \n",
       "18                               0.027485                         6.742244   \n",
       "19                               0.003667                         0.663178   \n",
       "20                               0.003965                         0.218353   \n",
       "\n",
       "    GC-LAPS Yanapaccha (mg/m2*month)  Shallap_avg (ug/gr)  ...  \\\n",
       "16                          7.622110             0.394754  ...   \n",
       "17                         14.650864             0.427336  ...   \n",
       "18                          7.061818             0.383046  ...   \n",
       "19                          0.839934             0.176104  ...   \n",
       "20                          0.331625             0.283992  ...   \n",
       "\n",
       "    GC-LAPS Yanapaccha (ppb)  precip-Shallap (m month-1)  Shallap_avg (ng/gr)  \\\n",
       "16                 79.791066                    0.501893              394.754   \n",
       "17                 63.710594                    0.731461              427.336   \n",
       "18                 40.993424                    0.529090              383.046   \n",
       "19                  6.897913                    0.336757              176.104   \n",
       "20                 11.142406                    0.190903              283.992   \n",
       "\n",
       "    Shallap_std (ng/gr)  GC-BC Shallap (ppb)  GC-BC Shallap [Anthro](ppb)  \\\n",
       "16             2.552857             9.183980                     7.688076   \n",
       "17             1.625863             2.364388                     2.129816   \n",
       "18             2.478847             1.983471                     1.822667   \n",
       "19             2.439279             1.841270                     1.802948   \n",
       "20             1.928139             6.187309                     6.047104   \n",
       "\n",
       "    GC-BC Shallap [fires](ppb)  GC-DST Shallap (ppb)  GC-LAPS Shallap (ppb)  \\\n",
       "16                    1.495904             60.664338              69.848317   \n",
       "17                    0.234572             61.371152              63.735540   \n",
       "18                    0.160805             36.331640              38.315111   \n",
       "19                    0.038322              5.995416               7.836686   \n",
       "20                    0.140205              8.592469              14.779778   \n",
       "\n",
       "    precip_arte (m)  \n",
       "16          0.08711  \n",
       "17          0.22475  \n",
       "18          0.16702  \n",
       "19          0.10191  \n",
       "20          0.02023  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#### getting results for 2016 -2019\n",
    "ObsGC_monthly_peru_2016_19= pd.DataFrame()\n",
    "#creating a dataframe with the same observations \n",
    "ObsGC_monthly_peru_2016_19=ObsGC_monthly_peru[16:]\n",
    "ObsGC_monthly_peru_2016_19['precip_arte (m)']=clim_arte_1619_m['precip_Tot (mm)'][:-12].values/1000\n",
    "\n",
    "\n",
    "ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (ppb)']= (ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [Anthro](ppb)']= (ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [Anthro](mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [fires](ppb)']= ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (ppb)']- ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [Anthro](ppb)']\n",
    "\n",
    "ObsGC_monthly_peru_2016_19['GC-DST Yanapaccha (ppb)']= (ObsGC_monthly_peru_2016_19['GC-DST Yanapaccha (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru_2016_19['GC-LAPS Yanapaccha (ppb)']= ObsGC_monthly_peru['GC-BC Yanapaccha (ppb)']+ ObsGC_monthly_peru_2016_19['GC-DST Yanapaccha (ppb)']\n",
    "\n",
    "\n",
    "ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)']=(ObsGC_monthly_peru['GC-BC Shallap (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru_2016_19['GC-BC Shallap [Anthro](ppb)']= (ObsGC_monthly_peru_2016_19['GC-BC Shallap [Anthro](mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru_2016_19['GC-BC Shallap [fires](ppb)']= ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)']- ObsGC_monthly_peru_2016_19['GC-BC Shallap [Anthro](ppb)']\n",
    "ObsGC_monthly_peru_2016_19['GC-DST Shallap (ppb)']= (ObsGC_monthly_peru_2016_19['GC-DST Shallap (mg/m2*month)']/ObsGC_monthly_peru_2016_19['precip_arte (m)'])*(1/997)*(10**6)*(1/1000)\n",
    "ObsGC_monthly_peru_2016_19['GC-LAPS Shallap (ppb)']= ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)']+ ObsGC_monthly_peru_2016_19['GC-DST Shallap (ppb)']\n",
    "\n",
    "ObsGC_monthly_peru_2016_19.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3600x2400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###FIGURE in PAPER: Figure S5\n",
    "##2016-2019\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1 import host_subplot\n",
    "import mpl_toolkits.axisartist as AA\n",
    "from matplotlib.lines import Line2D\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "fig = plt.figure( figsize=[12, 8], dpi=300)\n",
    "\n",
    "host1 = host_subplot(211, axes_class=AA.Axes)\n",
    "\n",
    "\n",
    "par11 = host1.twinx()\n",
    "par12 = host1.twinx()\n",
    "\n",
    "\n",
    "par11.axis[\"right\"].toggle(all=True)\n",
    "\n",
    "host1.text(ObsGC_monthly_peru_2016_19['datetime'][16], 650, 'a)Yanapaccha', fontsize = 16, color='steelblue')\n",
    "\n",
    "host1.set_ylabel(\"eBC (ppb)\")\n",
    "par11.set_ylabel(\"BC (ppb)\")\n",
    "\n",
    "p1, = host1.plot(ObsGC_monthly_peru_2016_19['datetime'], ObsGC_monthly_peru_2016_19['Yanapaccha_avg (ng/gr)'],linewidth= 4, label='Observations (surface)', alpha=0.75, color='steelblue')\n",
    "p2, = par11.plot(ObsGC_monthly_peru_2016_19['datetime'],ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (ppb)'] , label='GEOS-Chem: BC total', lw=4, linestyle='--' ,color='peru', alpha=0.85)\n",
    "\n",
    "par11.fill_between(ObsGC_monthly_peru_2016_19['datetime'], \n",
    "                  0, \n",
    "                  ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [fires](ppb)'], color=\"firebrick\", alpha=0.4, label = 'GEOS-Chem: BC fires')\n",
    "# convert to matplotlib date representation\n",
    "startdates =[ '2016-07-15', '2017-07-15', '2018-07-15']\n",
    "width = 123\n",
    "for i in range(len(startdates)):\n",
    "    start = mdates.date2num(pd.to_datetime(startdates[i], format='%Y-%m-%d', utc=True))\n",
    "    left, bottom, width, height = (start, -100, width, 1000)\n",
    "    rect=mpatches.Rectangle((left,bottom),width,height, \n",
    "                        alpha=0.1,\n",
    "                       facecolor=\"red\")\n",
    "    plt.gca().add_patch(rect)\n",
    "par11.set_ylim(0, 40)\n",
    "host1.set_ylim(0, 810)\n",
    "\n",
    "\n",
    "\n",
    "#host1.legend()\n",
    "\n",
    "host1.axis[\"left\"].label.set_color(p1.get_color())\n",
    "par11.axis[\"right\"].label.set_color(p2.get_color())\n",
    "\n",
    "\n",
    "#####2#####\n",
    "# where some data has already been plotted to ax\n",
    "\n",
    "\n",
    "host2 = host_subplot(212, axes_class=AA.Axes)\n",
    "handles, labels = host2.get_legend_handles_labels()\n",
    "#plt.subplots_adjust(right=0.75)\n",
    "par21 = host2.twinx()\n",
    "par22 = host2.twinx()\n",
    "\n",
    "\n",
    "\n",
    "par21.axis[\"right\"].toggle(all=True)\n",
    "\n",
    "host2.set_ylabel(\"eBC (ppb)\")\n",
    "par21.set_ylabel(\"BC (ppb)\")\n",
    "\n",
    "\n",
    "p1, = host2.plot(ObsGC_monthly_peru_2016_19['datetime'], ObsGC_monthly_peru_2016_19['Shallap_avg (ng/gr)'],linewidth= 4, color='steelblue',alpha=0.75)\n",
    "p2, = par21.plot(ObsGC_monthly_peru_2016_19['datetime'], ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)'] , label='GEOS-Chem: BC total', lw=4, linestyle='--',color='peru', alpha=0.85)\n",
    "\n",
    "par21.fill_between(ObsGC_monthly_peru_2016_19['datetime'], \n",
    "                  0, \n",
    "                  ObsGC_monthly_peru_2016_19['GC-BC Shallap [fires](ppb)'], color=\"firebrick\", alpha=0.4,label = 'GEOS-Chem: BC fires')\n",
    "for i in range(len(startdates)):\n",
    "    start = mdates.date2num(pd.to_datetime(startdates[i], format='%Y-%m-%d', utc=True))\n",
    "    left, bottom, width, height = (start, -100, width, 900)\n",
    "    rect=mpatches.Rectangle((left,bottom),width,height, \n",
    "                        #fill=False,\n",
    "                        alpha=0.1,\n",
    "                        #color=\"purple\",\n",
    "                       #linewidth=2,\n",
    "                       facecolor=\"red\")\n",
    "    plt.gca().add_patch(rect)\n",
    "\n",
    "par21.set_ylim(0, 40)\n",
    "host2.set_ylim(0, 810)\n",
    "\n",
    "\n",
    "host2.text(ObsGC_monthly_peru_2016_19['datetime'][16], 650, 'b)Shallap', fontsize = 16, color='steelblue')\n",
    "host2.axis[\"left\"].label.set_color(p1.get_color())\n",
    "par21.axis[\"right\"].label.set_color(p2.get_color())\n",
    "\n",
    "# where some data has already been plotted to ax\n",
    "handles, labels = host1.get_legend_handles_labels()\n",
    "\n",
    "# manually define a new patch & line for legend\n",
    "patch = mpatches.Patch(color='red', label='Dry season', alpha =0.1)\n",
    "handles.append(patch) \n",
    "host1.legend(handles = handles, loc='upper center', bbox_to_anchor=(0.5, -1.5),\n",
    "          ncol=2, borderaxespad=0.5)\n",
    "\n",
    "plt.suptitle(\"Monthly BC concentrations in Peruvian snow.\", y=1.0005, fontsize=22)\n",
    "plt.draw()\n",
    "plt.show()\n",
    "fig.savefig('../PP1_figs/BCAndes_FigureS5.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correlation for Yanapaccha observations against modeled BC, BC from fires:0.6184677591227279, 0.7204331099203871\n",
      "Correlation for Shallap observations against modeled BC, BC from fires:0.46967657408358277, 0.4048961368976773\n"
     ]
    }
   ],
   "source": [
    "yan_obs_GC_BC_cor= ObsGC_monthly_peru_2016_19['Yanapaccha_avg (ng/gr)'].corr(ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha (ppb)'])\n",
    "yan_obs_GC_BCfire_cor= ObsGC_monthly_peru_2016_19['Yanapaccha_avg (ng/gr)'].corr(ObsGC_monthly_peru_2016_19['GC-BC Yanapaccha [fires](ppb)'])\n",
    "#yan_obs_GC_LAPS_cor= ObsGC_monthly_peru_2016_19['Yanapaccha_avg (ng/gr)'].corr(ObsGC_monthly_peru_2016_19['GC-LAPS Yanapaccha (ppb)'])\n",
    "\n",
    "sha_obs_GC_BC_cor= ObsGC_monthly_peru_2016_19['Shallap_avg (ng/gr)'].corr(ObsGC_monthly_peru_2016_19['GC-BC Shallap (ppb)'])\n",
    "sha_obs_GC_BCfire_cor= ObsGC_monthly_peru_2016_19['Shallap_avg (ng/gr)'].corr(ObsGC_monthly_peru_2016_19['GC-BC Shallap [fires](ppb)'])\n",
    "#sha_obs_GC_LAPS_cor= ObsGC_monthly_peru_2016_19['Shallap_avg (ng/gr)'].corr(ObsGC_monthly_peru_2016_19['GC-LAPS Shallap (ppb)'])\n",
    "\n",
    "\n",
    "print( \"Correlation for Yanapaccha observations against modeled BC, BC from fires:\"+ str(yan_obs_GC_BC_cor)+ ', '+ str(yan_obs_GC_BCfire_cor))\n",
    "\n",
    "print(\"Correlation for Shallap observations against modeled BC, BC from fires:\"+str(sha_obs_GC_BC_cor)+ ', '+ str(sha_obs_GC_BCfire_cor) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fire contribution to Yanapaccha glacier:18.135346626161684%\n",
      "Fire contribution to Shallap glacier:15.956412352250407%\n"
     ]
    }
   ],
   "source": [
    "#### estimated impact of biomass burning to total BC on snow surface concentrations\n",
    "Yana_BB = sum(ObsGC_monthly_peru['GC-BC Yanapaccha [fires](ppb)'])/(sum(ObsGC_monthly_peru['GC-BC Yanapaccha (ppb)']))*100\n",
    "Sha_BB = (sum(ObsGC_monthly_peru['GC-BC Shallap [fires](ppb)'])) /(sum(ObsGC_monthly_peru['GC-BC Shallap (ppb)']))*100\n",
    "print('Fire contribution to Yanapaccha glacier:'+ str(Yana_BB) + \"%\")\n",
    "print('Fire contribution to Shallap glacier:'+ str(Sha_BB)  + \"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average mean observation for Yanapaccha (ppb): 83.95217021276595\n",
      "Average mean observation for Shallap (ppb): 174.84723404255314\n"
     ]
    }
   ],
   "source": [
    "print('Average mean observation for Yanapaccha (ppb): '+ str(ObsGC_monthly_peru['Yanapaccha_avg (ng/gr)'].mean()))\n",
    "print('Average mean observation for Shallap (ppb): '+ str(ObsGC_monthly_peru['Shallap_avg (ng/gr)'].mean()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get 5 yr avg for BC and Dust fluxes\n",
    "#### multiply by the avg_prec_rat_andes mean for ratio avg in all locations with precip data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * lat                  (lat) float64 -60.0 -59.5 -59.0 ... 14.0 14.5 15.0\n",
       "  * lon                  (lon) float64 -85.0 -84.38 -83.75 ... -30.62 -30.0\n",
       "Data variables: (12/20)\n",
       "    BC_flux              (lat, lon) float32 0.02473 0.02483 ... 1.051 1.041\n",
       "    WetLossLS_BC         (lat, lon) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossConv_BC       (lat, lon) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossTotal_BC      (lat, lon) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_BC            (lat, lon) float32 0.02473 0.02483 ... 1.051 1.041\n",
       "    DST_flux             (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03\n",
       "    ...                   ...\n",
       "    DryDep_DST1          (lat, lon) float32 2.023 2.025 2.025 ... 473.5 470.1\n",
       "    DryDep_DST2          (lat, lon) float32 0.06366 0.06367 ... 1.107e+03\n",
       "    DryDep_DST3          (lat, lon) float32 0.2199 0.2201 ... 3.011e+03\n",
       "    DryDep_DST4          (lat, lon) float32 0.2857 0.2862 ... 3.235e+03\n",
       "    BC_flux_wetdepnorm   (lat, lon) float32 0.02473 0.02483 ... 1.051 1.041\n",
       "    DST_flux_wetdepnorm  (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-343831a1-152d-4ffd-b03c-c220cedb6a69' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-343831a1-152d-4ffd-b03c-c220cedb6a69' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0939a89e-32d6-4021-aac8-8eced3615e29' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0939a89e-32d6-4021-aac8-8eced3615e29' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-6687bc58-9e66-4bbd-8803-52d3e080ece8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6687bc58-9e66-4bbd-8803-52d3e080ece8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f691a901-edc3-4fa5-8ecf-c0d174d2fa8a' class='xr-var-data-in' type='checkbox'><label for='data-f691a901-edc3-4fa5-8ecf-c0d174d2fa8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-423e1133-d483-425e-a7b8-4a3e7d1a0d98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-423e1133-d483-425e-a7b8-4a3e7d1a0d98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35a1a647-2e25-45cc-b05d-e85efaea47b5' class='xr-var-data-in' type='checkbox'><label for='data-35a1a647-2e25-45cc-b05d-e85efaea47b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26b21555-8982-4acf-a3c5-06d5655c15ee' class='xr-section-summary-in' type='checkbox'  ><label for='section-26b21555-8982-4acf-a3c5-06d5655c15ee' class='xr-section-summary' >Data variables: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>BC_flux</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02473 0.02483 ... 1.051 1.041</div><input id='attrs-f5edf185-1a70-41fa-abc3-98b441687465' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f5edf185-1a70-41fa-abc3-98b441687465' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e35ed099-724c-4abc-b701-bca9d12ba40a' class='xr-var-data-in' type='checkbox'><label for='data-e35ed099-724c-4abc-b701-bca9d12ba40a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.02472672, 0.02482746, 0.02662408, ..., 0.030445  , 0.0288731 ,\n",
       "        0.02791337],\n",
       "       [0.02495428, 0.02541185, 0.02693331, ..., 0.03731602, 0.0343875 ,\n",
       "        0.03316544],\n",
       "       [0.02681708, 0.02689222, 0.02891438, ..., 0.05324823, 0.05673321,\n",
       "        0.04810776],\n",
       "       ...,\n",
       "       [2.1683693 , 1.9517075 , 1.882362  , ..., 1.0295717 , 1.1588267 ,\n",
       "        1.0705539 ],\n",
       "       [2.0297782 , 1.7549964 , 1.8592628 , ..., 1.1703186 , 1.2360972 ,\n",
       "        1.092214  ],\n",
       "       [1.5530564 , 1.6637806 , 1.4583964 , ..., 0.994899  , 1.05139   ,\n",
       "        1.041159  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossLS_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-fa2225e6-78d3-4510-a274-db07405c9ab6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa2225e6-78d3-4510-a274-db07405c9ab6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-792ffdb6-b8f5-44f4-94d9-28c97fe2cab8' class='xr-var-data-in' type='checkbox'><label for='data-792ffdb6-b8f5-44f4-94d9-28c97fe2cab8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossConv_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-747f1e0a-3ec7-460a-bf82-319c8bf63150' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-747f1e0a-3ec7-460a-bf82-319c8bf63150' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae62da7f-a2ef-4fef-9096-376727438d3c' class='xr-var-data-in' type='checkbox'><label for='data-ae62da7f-a2ef-4fef-9096-376727438d3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossTotal_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-450bef34-50b9-4b1f-9659-85466cb94084' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-450bef34-50b9-4b1f-9659-85466cb94084' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6619be5-519d-4fd4-b2b9-dfc536edebe3' class='xr-var-data-in' type='checkbox'><label for='data-e6619be5-519d-4fd4-b2b9-dfc536edebe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_BC</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02473 0.02483 ... 1.051 1.041</div><input id='attrs-a04c4479-3e4c-4232-887c-688bab548fbd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a04c4479-3e4c-4232-887c-688bab548fbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f06ead-2f7a-4a89-83ba-40dc51f272db' class='xr-var-data-in' type='checkbox'><label for='data-c4f06ead-2f7a-4a89-83ba-40dc51f272db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.02472672, 0.02482746, 0.02662408, ..., 0.030445  , 0.0288731 ,\n",
       "        0.02791337],\n",
       "       [0.02495428, 0.02541185, 0.02693331, ..., 0.03731602, 0.0343875 ,\n",
       "        0.03316544],\n",
       "       [0.02681708, 0.02689222, 0.02891438, ..., 0.05324823, 0.05673321,\n",
       "        0.04810776],\n",
       "       ...,\n",
       "       [2.1683693 , 1.9517075 , 1.882362  , ..., 1.0295717 , 1.1588267 ,\n",
       "        1.0705539 ],\n",
       "       [2.0297782 , 1.7549964 , 1.8592628 , ..., 1.1703186 , 1.2360972 ,\n",
       "        1.092214  ],\n",
       "       [1.5530564 , 1.6637806 , 1.4583964 , ..., 0.994899  , 1.05139   ,\n",
       "        1.041159  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DST_flux</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.593 2.595 ... 7.847e+03 7.823e+03</div><input id='attrs-71d4e5fe-50cb-457e-bb41-b796455a9043' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71d4e5fe-50cb-457e-bb41-b796455a9043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18eac3ee-5797-4e52-b3a5-01da55fd410a' class='xr-var-data-in' type='checkbox'><label for='data-18eac3ee-5797-4e52-b3a5-01da55fd410a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.59258962e+00, 2.59526515e+00, 2.60937381e+00, ...,\n",
       "        1.06830721e+01, 1.05875168e+01, 1.06064310e+01],\n",
       "       [2.63274550e+00, 2.69030857e+00, 2.70158672e+00, ...,\n",
       "        1.12389555e+01, 1.11772890e+01, 1.07858429e+01],\n",
       "       [2.79642558e+00, 2.79509473e+00, 2.79662967e+00, ...,\n",
       "        1.57097864e+01, 1.73388062e+01, 1.49893723e+01],\n",
       "       ...,\n",
       "       [3.51767914e+02, 3.42136383e+02, 4.95587799e+02, ...,\n",
       "        7.09512500e+03, 6.76502881e+03, 7.93824463e+03],\n",
       "       [3.43453735e+02, 3.07501678e+02, 3.19206604e+02, ...,\n",
       "        6.82430615e+03, 7.61574951e+03, 8.02254932e+03],\n",
       "       [3.69539795e+02, 3.40985107e+02, 3.74479401e+02, ...,\n",
       "        6.94497656e+03, 7.84728174e+03, 7.82257373e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossLS_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-378dc65b-c973-4c52-9ed5-e6d380c2ae1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-378dc65b-c973-4c52-9ed5-e6d380c2ae1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7737080d-f859-41ed-9c0c-3e7f5cc604f9' class='xr-var-data-in' type='checkbox'><label for='data-7737080d-f859-41ed-9c0c-3e7f5cc604f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST1</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5fd48dac-38ee-45e3-bfe7-285ee963fe61' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fd48dac-38ee-45e3-bfe7-285ee963fe61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7971c693-e48c-4791-b683-4cd320d70a72' class='xr-var-data-in' type='checkbox'><label for='data-7971c693-e48c-4791-b683-4cd320d70a72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST2</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bb1e47d9-7086-4f35-a897-7951f479159c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb1e47d9-7086-4f35-a897-7951f479159c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f4ed9c3-dbc5-4aee-ab7b-f10ac0207b5f' class='xr-var-data-in' type='checkbox'><label for='data-6f4ed9c3-dbc5-4aee-ab7b-f10ac0207b5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST3</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7fb4c98a-4c8d-4a76-baf5-45a7c502c4db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7fb4c98a-4c8d-4a76-baf5-45a7c502c4db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbca7cca-c742-4512-b928-e339b16152a2' class='xr-var-data-in' type='checkbox'><label for='data-cbca7cca-c742-4512-b928-e339b16152a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLoss_DST4</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5db7b4f6-bf50-4673-976a-1947be35e6e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5db7b4f6-bf50-4673-976a-1947be35e6e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc9f1f7f-5f93-4f94-85c4-0a9f81b8cf23' class='xr-var-data-in' type='checkbox'><label for='data-dc9f1f7f-5f93-4f94-85c4-0a9f81b8cf23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossConv_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2d905aa2-3a1d-4564-a327-21b11a8a8922' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d905aa2-3a1d-4564-a327-21b11a8a8922' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd98b920-d393-4422-a684-7a09ab464678' class='xr-var-data-in' type='checkbox'><label for='data-cd98b920-d393-4422-a684-7a09ab464678' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WetLossTotal_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-00e0855d-4d8c-460a-9e4e-bb0161a85f72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00e0855d-4d8c-460a-9e4e-bb0161a85f72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d15686d-439d-4c71-8c2e-f26b24d7cf85' class='xr-var-data-in' type='checkbox'><label for='data-8d15686d-439d-4c71-8c2e-f26b24d7cf85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.593 2.595 ... 7.847e+03 7.823e+03</div><input id='attrs-e32eeb71-f7c8-4769-995d-62bf82ba87cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e32eeb71-f7c8-4769-995d-62bf82ba87cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d40d58e-3c23-40b4-a27c-7a572ca0bc6e' class='xr-var-data-in' type='checkbox'><label for='data-7d40d58e-3c23-40b4-a27c-7a572ca0bc6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.59258962e+00, 2.59526515e+00, 2.60937381e+00, ...,\n",
       "        1.06830721e+01, 1.05875168e+01, 1.06064310e+01],\n",
       "       [2.63274550e+00, 2.69030857e+00, 2.70158672e+00, ...,\n",
       "        1.12389555e+01, 1.11772890e+01, 1.07858429e+01],\n",
       "       [2.79642558e+00, 2.79509473e+00, 2.79662967e+00, ...,\n",
       "        1.57097864e+01, 1.73388062e+01, 1.49893723e+01],\n",
       "       ...,\n",
       "       [3.51767914e+02, 3.42136383e+02, 4.95587799e+02, ...,\n",
       "        7.09512500e+03, 6.76502881e+03, 7.93824463e+03],\n",
       "       [3.43453735e+02, 3.07501678e+02, 3.19206604e+02, ...,\n",
       "        6.82430615e+03, 7.61574951e+03, 8.02254932e+03],\n",
       "       [3.69539795e+02, 3.40985107e+02, 3.74479401e+02, ...,\n",
       "        6.94497656e+03, 7.84728174e+03, 7.82257373e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST1</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.023 2.025 2.025 ... 473.5 470.1</div><input id='attrs-5c808d75-a314-47cc-bcb0-341f733a19a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c808d75-a314-47cc-bcb0-341f733a19a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e78b17b-043d-45d9-9d58-e23cf49445dc' class='xr-var-data-in' type='checkbox'><label for='data-1e78b17b-043d-45d9-9d58-e23cf49445dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  2.0232866,   2.0252955,   2.0253122, ...,   2.6423616,\n",
       "          2.6265914,   2.6148036],\n",
       "       [  2.0554113,   2.0784783,   2.0749972, ...,   2.8577185,\n",
       "          2.827234 ,   2.704395 ],\n",
       "       [  2.1654682,   2.1639607,   2.1552181, ...,   3.4426181,\n",
       "          3.7921133,   3.3390276],\n",
       "       ...,\n",
       "       [ 61.71223  ,  60.890568 ,  77.86895  , ..., 466.07333  ,\n",
       "        436.42838  , 482.65775  ],\n",
       "       [ 61.635975 ,  57.39224  ,  75.09765  , ..., 466.95007  ,\n",
       "        489.11157  , 490.50378  ],\n",
       "       [ 57.37372  ,  58.96432  ,  64.2372   , ..., 449.6735   ,\n",
       "        473.52133  , 470.1112   ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST2</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.06366 0.06367 ... 1.107e+03</div><input id='attrs-78d8d30e-9604-4147-850a-06198213aa2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78d8d30e-9604-4147-850a-06198213aa2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3fb582f-5524-49f5-9054-99aa0b47ec76' class='xr-var-data-in' type='checkbox'><label for='data-d3fb582f-5524-49f5-9054-99aa0b47ec76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[6.3664339e-02, 6.3669384e-02, 6.6060506e-02, ..., 7.3941773e-01,\n",
       "        7.2494149e-01, 7.2672802e-01],\n",
       "       [6.4390011e-02, 7.1356542e-02, 7.3950671e-02, ..., 7.8811455e-01,\n",
       "        7.7453995e-01, 7.4445820e-01],\n",
       "       [7.1021773e-02, 7.1137197e-02, 7.3533751e-02, ..., 1.1920428e+00,\n",
       "        1.2696685e+00, 1.1215663e+00],\n",
       "       ...,\n",
       "       [5.2557892e+01, 5.2009609e+01, 7.1629036e+01, ..., 1.0472759e+03,\n",
       "        9.8308203e+02, 1.1409373e+03],\n",
       "       [5.1644054e+01, 4.7570953e+01, 5.5628498e+01, ..., 1.0227889e+03,\n",
       "        1.1161429e+03, 1.1522738e+03],\n",
       "       [5.6377014e+01, 5.4419678e+01, 6.0740070e+01, ..., 1.0090599e+03,\n",
       "        1.1112552e+03, 1.1067365e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST3</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2199 0.2201 ... 3.011e+03</div><input id='attrs-f453ea2f-2e3b-4a68-8586-bdf46cadd076' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f453ea2f-2e3b-4a68-8586-bdf46cadd076' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed72f568-a5ad-451d-b13a-2712aabd7a3d' class='xr-var-data-in' type='checkbox'><label for='data-ed72f568-a5ad-451d-b13a-2712aabd7a3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.1991360e-01, 2.2010900e-01, 2.2646894e-01, ..., 2.4259045e+00,\n",
       "        2.3972328e+00, 2.4049988e+00],\n",
       "       [2.2283213e-01, 2.3938942e-01, 2.4594732e-01, ..., 2.5742855e+00,\n",
       "        2.5494058e+00, 2.4357176e+00],\n",
       "       [2.4657823e-01, 2.4668364e-01, 2.5243667e-01, ..., 3.7712724e+00,\n",
       "        4.1246386e+00, 3.5719788e+00],\n",
       "       ...,\n",
       "       [1.7761806e+02, 1.7282983e+02, 2.5075385e+02, ..., 2.7849561e+03,\n",
       "        2.6019578e+03, 3.0926631e+03],\n",
       "       [1.7224738e+02, 1.5138635e+02, 1.3906381e+02, ..., 2.6634348e+03,\n",
       "        2.9495342e+03, 3.1192000e+03],\n",
       "       [1.8609534e+02, 1.6584921e+02, 1.7639000e+02, ..., 2.6941858e+03,\n",
       "        3.0178162e+03, 3.0109199e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DryDep_DST4</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2857 0.2862 ... 3.235e+03</div><input id='attrs-a6bd01a3-bf25-4801-97e2-85ba3ec45af4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6bd01a3-bf25-4801-97e2-85ba3ec45af4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58838f2d-11d8-49f7-95a9-129d68988ffd' class='xr-var-data-in' type='checkbox'><label for='data-58838f2d-11d8-49f7-95a9-129d68988ffd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.8572503e-01, 2.8619137e-01, 2.9153240e-01, ..., 4.8753877e+00,\n",
       "        4.8387508e+00, 4.8599014e+00],\n",
       "       [2.9011199e-01, 3.0108437e-01, 3.0669150e-01, ..., 5.0188370e+00,\n",
       "        5.0261106e+00, 4.9012713e+00],\n",
       "       [3.1335750e-01, 3.1331328e-01, 3.1544104e-01, ..., 7.3038535e+00,\n",
       "        8.1523848e+00, 6.9568009e+00],\n",
       "       ...,\n",
       "       [5.9879700e+01, 5.6406403e+01, 9.5336052e+01, ..., 2.7968196e+03,\n",
       "        2.7435605e+03, 3.2219871e+03],\n",
       "       [5.7926311e+01, 5.1152111e+01, 4.9416653e+01, ..., 2.6711318e+03,\n",
       "        3.0609602e+03, 3.2605723e+03],\n",
       "       [6.9693733e+01, 6.1751881e+01, 7.3112137e+01, ..., 2.7920579e+03,\n",
       "        3.2446885e+03, 3.2348064e+03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BC_flux_wetdepnorm</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02473 0.02483 ... 1.051 1.041</div><input id='attrs-8ddaa2b6-8ec5-4853-823c-d1469fee91c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ddaa2b6-8ec5-4853-823c-d1469fee91c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8986fe0d-c153-4912-96f9-a3eaaa13195a' class='xr-var-data-in' type='checkbox'><label for='data-8986fe0d-c153-4912-96f9-a3eaaa13195a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.02472672, 0.02482746, 0.02662408, ..., 0.030445  , 0.0288731 ,\n",
       "        0.02791337],\n",
       "       [0.02495428, 0.02541185, 0.02693331, ..., 0.03731602, 0.0343875 ,\n",
       "        0.03316544],\n",
       "       [0.02681708, 0.02689222, 0.02891438, ..., 0.05324823, 0.05673321,\n",
       "        0.04810776],\n",
       "       ...,\n",
       "       [2.1683693 , 1.9517075 , 1.882362  , ..., 1.0295717 , 1.1588267 ,\n",
       "        1.0705539 ],\n",
       "       [2.0297782 , 1.7549964 , 1.8592628 , ..., 1.1703186 , 1.2360972 ,\n",
       "        1.092214  ],\n",
       "       [1.5530564 , 1.6637806 , 1.4583964 , ..., 0.994899  , 1.05139   ,\n",
       "        1.041159  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DST_flux_wetdepnorm</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.593 2.595 ... 7.847e+03 7.823e+03</div><input id='attrs-833a3bbe-9ce0-4eb5-8c8a-f080e2461c0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-833a3bbe-9ce0-4eb5-8c8a-f080e2461c0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b2d7cf9-fd58-4782-90d9-bbc9a5bd44d4' class='xr-var-data-in' type='checkbox'><label for='data-7b2d7cf9-fd58-4782-90d9-bbc9a5bd44d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.59258962e+00, 2.59526515e+00, 2.60937381e+00, ...,\n",
       "        1.06830721e+01, 1.05875168e+01, 1.06064310e+01],\n",
       "       [2.63274550e+00, 2.69030857e+00, 2.70158672e+00, ...,\n",
       "        1.12389555e+01, 1.11772890e+01, 1.07858429e+01],\n",
       "       [2.79642558e+00, 2.79509473e+00, 2.79662967e+00, ...,\n",
       "        1.57097864e+01, 1.73388062e+01, 1.49893723e+01],\n",
       "       ...,\n",
       "       [3.51767914e+02, 3.42136383e+02, 4.95587799e+02, ...,\n",
       "        7.09512500e+03, 6.76502881e+03, 7.93824463e+03],\n",
       "       [3.43453735e+02, 3.07501678e+02, 3.19206604e+02, ...,\n",
       "        6.82430615e+03, 7.61574951e+03, 8.02254932e+03],\n",
       "       [3.69539795e+02, 3.40985107e+02, 3.74479401e+02, ...,\n",
       "        6.94497656e+03, 7.84728174e+03, 7.82257373e+03]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08dc725b-7a4b-4dce-9046-dc19b545f282' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-08dc725b-7a4b-4dce-9046-dc19b545f282' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (lat: 151, lon: 89)\n",
       "Coordinates:\n",
       "  * lat                  (lat) float64 -60.0 -59.5 -59.0 ... 14.0 14.5 15.0\n",
       "  * lon                  (lon) float64 -85.0 -84.38 -83.75 ... -30.62 -30.0\n",
       "Data variables: (12/20)\n",
       "    BC_flux              (lat, lon) float32 0.02473 0.02483 ... 1.051 1.041\n",
       "    WetLossLS_BC         (lat, lon) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossConv_BC       (lat, lon) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    WetLossTotal_BC      (lat, lon) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    DryDep_BC            (lat, lon) float32 0.02473 0.02483 ... 1.051 1.041\n",
       "    DST_flux             (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03\n",
       "    ...                   ...\n",
       "    DryDep_DST1          (lat, lon) float32 2.023 2.025 2.025 ... 473.5 470.1\n",
       "    DryDep_DST2          (lat, lon) float32 0.06366 0.06367 ... 1.107e+03\n",
       "    DryDep_DST3          (lat, lon) float32 0.2199 0.2201 ... 3.011e+03\n",
       "    DryDep_DST4          (lat, lon) float32 0.2857 0.2862 ... 3.235e+03\n",
       "    BC_flux_wetdepnorm   (lat, lon) float32 0.02473 0.02483 ... 1.051 1.041\n",
       "    DST_flux_wetdepnorm  (lat, lon) float32 2.593 2.595 ... 7.847e+03 7.823e+03"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BCDST_6yravg= BCDST_flux2014_19y.mean(dim='time')\n",
    "BCDST_6yravg_noGFED= BCDST_flux2014_19y_noGFED.mean(dim='time')\n",
    "BCDST_6yravg['BC_flux_wetdepnorm']= BCDST_6yravg['DryDep_BC']+ (avg_rat_andes*BCDST_6yravg['WetLossTotal_BC'])\n",
    "BCDST_6yravg_noGFED['BC_flux_wetdepnorm']= BCDST_6yravg_noGFED['DryDep_BC']+ (avg_rat_andes*BCDST_6yravg_noGFED['WetLossTotal_BC'])\n",
    "BCDST_6yravg['DST_flux_wetdepnorm']= BCDST_6yravg['DryDep_DST']+ (avg_rat_andes*BCDST_6yravg['WetLossTotal_DST'])\n",
    "BCDST_6yravg_noGFED['DST_flux_wetdepnorm']= BCDST_6yravg_noGFED['DryDep_DST']+ (avg_rat_andes*BCDST_6yravg_noGFED['WetLossTotal_DST'])\n",
    "BCDST_6yravg_noGFED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the percentage of wet deposited BC for each location:\n",
      "Huascarán wet %: 75.71067810058594\n",
      "Quelccaya wet %: 86.43493056297302\n",
      "Yanapaccha wet %: 75.71067810058594\n",
      "Shallap wet %: 72.10954427719116\n",
      "Illimani wet %: 87.30981945991516\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    }
   ],
   "source": [
    "# get percentage of Wet deposited BC for each location from lookinga the flux\n",
    "wet_per_hu = ((avg_rat_andes*BCDST_6yravg['WetLossTotal_BC'])/BCDST_6yravg['BC_flux_wetdepnorm']).sel(lat=-9.1, lon=-77.6, method='nearest').values*100\n",
    "wet_per_que = ((avg_rat_andes*BCDST_6yravg['WetLossTotal_BC'])/BCDST_6yravg['BC_flux_wetdepnorm']).sel(lat=-13.9, lon=-70.9, method='nearest').values*100\n",
    "wet_per_yan= ((avg_rat_andes*BCDST_6yravg['WetLossTotal_BC'])/BCDST_6yravg['BC_flux_wetdepnorm']).sel(lat=-9.028, lon=-77.582, method='nearest').values*100\n",
    "wet_per_sha= ((avg_rat_andes*BCDST_6yravg['WetLossTotal_BC'])/BCDST_6yravg['BC_flux_wetdepnorm']).sel(lat=-9.49, lon=-77.3, method='nearest').values*100\n",
    "wet_per_illi= ((avg_rat_andes*BCDST_6yravg['WetLossTotal_BC'])/BCDST_6yravg['BC_flux_wetdepnorm']).sel(lat=-16.63, lon=-67.8, method='nearest').values*100\n",
    "\n",
    "print(\"Here are the percentage of wet deposited BC for each location:\")\n",
    "print(\"Huascara\\u0301n wet %: \" + str(wet_per_hu))\n",
    "print(\"Quelccaya wet %: \" + str(wet_per_que))\n",
    "print(\"Yanapaccha wet %: \" + str(wet_per_yan))\n",
    "print(\"Shallap wet %: \" + str(wet_per_sha))\n",
    "print(\"Illimani wet %: \" + str(wet_per_illi))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the percentage of wet deposited BC for each location for fire contribution:\n",
      "Huascarán wet %: 79.54293489456177\n",
      "Quelccaya wet %: 90.81827998161316\n",
      "Yanapaccha wet %: 79.54293489456177\n",
      "Shallap wet %: 76.78871154785156\n",
      "Illimani wet %: 90.55618643760681\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    }
   ],
   "source": [
    "# get percentage of Wet deposited BC for each location from looking at the flux\n",
    "wet_per_hu_fires = ((avg_rat_andes*(BCDST_6yravg['WetLossTotal_BC']-BCDST_6yravg_noGFED['WetLossTotal_BC']))/(BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])).sel(lat=-9.1, lon=-77.6, method='nearest').values*100\n",
    "wet_per_que_fires = ((avg_rat_andes*(BCDST_6yravg['WetLossTotal_BC']-BCDST_6yravg_noGFED['WetLossTotal_BC']))/(BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])).sel(lat=-13.9, lon=-70.9, method='nearest').values*100\n",
    "wet_per_yan_fires= ((avg_rat_andes*(BCDST_6yravg['WetLossTotal_BC']-BCDST_6yravg_noGFED['WetLossTotal_BC']))/(BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])).sel(lat=-9.028, lon=-77.582, method='nearest').values*100\n",
    "wet_per_sha_fires= ((avg_rat_andes*(BCDST_6yravg['WetLossTotal_BC']-BCDST_6yravg_noGFED['WetLossTotal_BC']))/(BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])).sel(lat=-9.49, lon=-77.3, method='nearest').values*100\n",
    "wet_per_illi_fires= ((avg_rat_andes*(BCDST_6yravg['WetLossTotal_BC']-BCDST_6yravg_noGFED['WetLossTotal_BC']))/(BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])).sel(lat=-16.63, lon=-67.8, method='nearest').values*100\n",
    "\n",
    "print(\"Here are the percentage of wet deposited BC for each location for fire contribution:\")\n",
    "print(\"Huascara\\u0301n wet %: \" + str(wet_per_hu_fires))\n",
    "print(\"Quelccaya wet %: \" + str(wet_per_que_fires))\n",
    "print(\"Yanapaccha wet %: \" + str(wet_per_yan_fires))\n",
    "print(\"Shallap wet %: \" + str(wet_per_sha_fires))\n",
    "print(\"Illimani wet %: \" + str(wet_per_illi_fires))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "100.0"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Should be 100\n",
    "test_total = ((((avg_rat_andes*BCDST_6yravg['WetLossTotal_BC'])+BCDST_6yravg['DryDep_BC']))/BCDST_6yravg['BC_flux_wetdepnorm']).sel(lat=-9.1, lon=-77.6, method='nearest').values*100\n",
    "test_total\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plot total BC from different sectors & Dust too\n",
    "\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=[15, 6], subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "\n",
    "fig.subplots_adjust(left=None, bottom=None, right=None, top=None,hspace = .15, wspace=.8)\n",
    "\n",
    "titles= ['BC flux total','Dust Flux total']\n",
    "lat= Dep_therm_14_15['lat'].values\n",
    "lon= Dep_therm_14_15['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 25, 25)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "bounds1 =  np.linspace(0, 500, 25)\n",
    "norm1 = matplotlib.colors.BoundaryNorm(boundaries=bounds1,ncolors=256)\n",
    "\n",
    "\n",
    "pcm= axes[0].pcolormesh(lon,lat,BCDST_6yravg['BC_flux_wetdepnorm'] ,cmap=BuPu_trans, norm=norm )\n",
    "\n",
    "\n",
    "pcm1= axes[1].pcolormesh(lon,lat,BCDST_6yravg['DST_flux_wetdepnorm'] ,cmap=oranges_trans_r, norm=norm1 )\n",
    "\n",
    "\n",
    "for i in range(0,2):\n",
    "    axes[i].set_title(titles[i])\n",
    "    axes[i].set_extent([-84, -60, -22, 3])\n",
    "    axes[i].coastlines()\n",
    "    axes[i].add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "    axes[i].scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8, label =\"Obs.\")\n",
    "    #get the symbols and the labels for legend\n",
    "    handles, labels = axes[i].get_legend_handles_labels()\n",
    "    axes[i].legend(handles, labels,\n",
    "              loc='lower left', ncol=1, edgecolor='black',\n",
    "              borderpad=0.25)\n",
    "\n",
    "       \n",
    "cbar1=fig.colorbar(pcm, ax=axes[0], shrink=0.9,label='BC flux (mg/m² yr)', fraction=0.045, pad=0.04 )\n",
    "cbar1.set_ticks([0,5,10,15,20,25])\n",
    "cbar1.set_ticklabels([0,5,10,15,20,25])\n",
    "cbar=fig.colorbar(pcm1, ax=axes[1], shrink=0.9,label='Dust flux (mg/m² yr)',fraction=0.045, pad=0.04 )\n",
    "cbar.set_ticks([0,100,200,300,400,500])\n",
    "cbar.set_ticklabels([0,5,10,15,20,25])\n",
    "fig.suptitle('Fluxes for 2014-2019 avg. Normalized wet dep.', fontsize =22);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC flux fire:total ratio for the Andes. [wet dep norm]')"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QHpC8O9aefvrpQj0dV155Jeeffz4zZ84ssL1v377MmjUr6JVTcfKGZh588EFiY2Pzt8fExPDwww8DuUO1VtStW7fQNqfTyY033ojf72fp0qWW6ivKqFGjiImJKbS9UqVKBfbRPE2aNKFjx44sX74cn893Vq+9evVqduzYQevWrbn88ssLPHbppZfStm1b/vrrL1atWnVWrzNjxgx8Ph833XRToXlqI0aMIDY2lunTpwcdMrv//vupWLHiWb1+MLVq1eJf//pXgW0XXnghNWvWZN26dQW2f/rpp9jtdp577jmioqIKPHb33XeTlJRUaF8uzuzZs0lLS+PSSy/Nr6979+5UrlyZOXPmkJaWFvR50dHRPProo9hstvxtjRs3pk2bNmzfvr3A3NW8IekRI0bgcrnytyclJXH33XcXqtswDCZOnEiVKlUKvYbNZmPUqFFomlbofdrt9qA9gSXxnZ2sc+fOBAKB/B6lzMxM/vjjD7p06ULHjh0LHJ95/+7cuXP+tmnTppGens59991H48aNC9R93nnncc0117Bhwwa2bdt21m2dMmUKuq7z8MMPFxidqFOnTtDpKsePH2fGjBk0b96cO+64o8BjLpeLhx9+GKVU0H2uXr163HDDDQW29enThw4dOrBz505+++030+22cox8++23aJrGqFGjCuwPlSpVyq8j2Dm4qN+Pk9tw5513FtiW1/Pr9XoZOXJkgc904MCB2O12Nm7caPJdijNhaWhy8+bN+f/Ozs5m27ZtvPLKKzz00ENs27Ytv2tXnRin1zQthE09dwYMGMDSpUv5+uuvWblyJW3btuW+++47J6/dpEmToEO1a9euxeFw8MMPP/DDDz8Uetzn83Hs2LECd4rFx8eb6uo/1YYNG9B1vdDwE0D79u2x2WyWD8x9+/bx3nvvsXTpUvbv34/b7S7w+MGDBy2381Qul6vY3GM//fQTX331FX/88QfHjx/H7/cXePz48eNndRPFhg0bAOjYsWPQxzt16sSqVavYsGHDWd10kvc6pw73ASQmJtK0aVNWrlzJjh078odb87Rs2fKMX7c4TZo0KRBs5KlevTpr167N//+cnBw2bdpEhQoV+OSTT4LW5XQ6C83bK07esGTe0BnkBjQDBw7ko48+Yvr06QwbNqzQ8+rVqxc0OM+7gMzIyMh/PO+YaNu2baHywY6Tv/76i9TUVOrXr8+ECROCtjsqKqrA3KmBAwfywgsvMGDAAC699FI6dOhAmzZtSjwIg9x96a233mLp0qX07t2blStX4vf76dy5M7Vq1WLOnDls376dRo0a5Q9Znrz/5X3HmzZtKnLeJOTOITs1ULMiMzOTnTt3UqNGjaAXd8G+i/Xr1xMIBNA0LWjb8s4Dwe6+b9u2bdCpKB06dGDFihVs2LAh6GsGY/YYyXuP1apVC3pDUN7nHuwcXNTvR57zzz+/UBvyznn169cvdDzYbDYqVaoUkvOzKNoZzxGLiYmhZcuWjB07lh49evD+++9z3XXXUaNGjfwv9sCBAyFr6LnWr1+//CuOm266KegBVBKKyjWWmpqK3+9n7NixxT4/Ozv7rG/Zz8jIIDExMegBbbfb8+eumLV7926uvvpq0tPTadeuHd26dSMuLg6bzcbevXuZOnXqGU3QPlWlSpWKDP4//fRTnn32WRITE+nSpQs1atQgOjo6f+7bpk2bzroNeZPkiwrmqlSpUqDc2b5OXn1FvU6wGziKes7ZCjYfDXL3l5Mnpaenp6OU4tixY6fdl83Yvn07q1atomHDhoVyrF155ZV89NFHfP3110EDseLaDBAIBPK35R0TDoejUPlgn2lqaiqQG4AU9z6zsrLy/33LLbdQoUIFvvjiCz777DM++eQTNE2jffv2jBw58rRzC8/GBRdcQExMTH6QtXTpUhwOB23bts2fi7t06VLq1avHypUrady4cYH3nfd+i7tBAnLPT2cjr5eyqLmNwc6feW1bv359sZPsT/4uiqvv5O1m7/gH88dIXp1FHat555dgx/fpclUGuzDP29+Lumi32+2FLlpFaJ31ZP2EhAQaNGjAn3/+yZ9//kmNGjXyrxr/+OMPMjIyzqhXJhQ0TStyuKm4uwyPHTvG6NGjiY6OBuC5556jU6dO5+TKtKhAIi4uLn+SbEmLj48nLS0Nn89X6IfH7/dz/PjxoD0JRfnoo49ITU3l+eefL9BrAbl3zuXdPXW2ivrs/H4/b731FlWqVGHKlCmFAqWTr0bPRt5+njc0f6q87VY+u+Je58iRI5x33nlFvk6w4y7cvdR5771p06Yh+d4nTZoE5PZmFNUbumXLFlavXk2bNm3O+HWKOyaCfd95n33fvn0tBZxXXHEFV1xxBenp6axZs4Z58+bx7bffcvvttzNr1qxib644Gw6HgzZt2vDLL79w6NAhli5dSuvWrYmOjqZBgwZUr16dJUuW0LRpU7Kysgr1xua93+nTpxfqhQ2lvP2nqAvBI0eOFNqW17Z//OMfPProo5ZeL1h9J28/22M5mLw6i3rtvLQ2pfH4FmcmJEsc5c3ByBuSrFOnDl26dMHj8fD++++f9vmh6A0JJjExkaNHjwYNxv7444+gz1FK8eijj3Lw4EFGjx7N6NGjOXz4MCNHjiz21uiS1qpVK9LS0ti6detZ15XXu3fyFf/Jzj//fAzDCDr/YeXKlQQCAZo2bVpgu67rRda3c+dOAC6++OJCj52LwPL48eOkp6fTunXrQkFYVlYWf/75Z6HnnO4zCibvjsqi3lPedjPJi828zslpTfKkp6ezceNGXC5XyPKcFffdWhUbG8t5553H1q1b83sqzpTX62X69Onous5VV13F1VdfXeivW7dugPU5jadq2rQphmEEnd8X7Ptu2LBh/p2gZzL3MCEhgR49evDMM88wePBgUlNTLc1HOhN5c75mzZrF1q1bCwRbnTp1YsWKFfl3yZ88Pwxye9QAS/Mf84b8iksHdKq4uDjq1avHwYMH2bVrV6HHg30XLVu2RNf1M/r8Vq9eHbR9ea9z6nkwFOLi4vLvOA2W8ibvuC+J1xbhcdaB2Pz589mzZw8Oh6NAPrD/+7//Iy4ujnfffZcPP/wwaNfmvn37GDFiBGvWrDnbZgTVokUL/H5/gfxYkDvZc/Xq1UGf89FHH/HTTz/Rv39/rrnmGq655hoGDBjAzz//bCqoLCn/+Mc/AHjssceCjtdnZ2cX6tnJyMhg+/bt+VdQeRISEtA0rVBuoDxXXXUVAK+++io5OTn523NycvLTVlx99dUFnpOUlFTkUHTe0MapJ8mff/6Zb775JuhzQqlSpUpER0fz559/Fhh+8Pl8PPvssxw/frzQc073GQXTtm1bGjRowKpVqwrN4/vhhx9YuXIl9evXDzrPyIrLL78ch8PBxIkT84PcPG+88QaZmZlcfvnlp00LY1Zx3+2Z+Mc//oHP5+M///lP0J7ptLS0oMHxqebMmUNqairdunXjueee49lnny3098YbbxATE8Ps2bPPakg4ryf39ddfx+Px5G9PTU0NOgfMbrdz0003cfjwYZ555plCcyIht2fj5MnrixcvDnqezMvRePKNDceOHWP79u2F8jeejbzA691330UpVSDY6tSpExkZGXzxxRdB549eeeWVJCQkMHbs2EITzyE32Dr1wiEpKQnI/R2w4sorr8QwDF555ZUCQdLu3buDLsNVqVIlBg4cyB9//MG4ceOCfsa7du0qlBMNcoeWv/jiiwLb5s+fz4oVK6hXr56l9BVWXHXVVSileOmllwpcBB07dozx48fnlxFlg6WhyZMnOmZnZ7N9+3YWL14M5N5NdPL4dKNGjfjggw+49957efHFF/n000/p3Llz/hJHmzZtyg/ATr2TJVSGDh3KlClT+O9//8vSpUupUaNG/uv27NmzUCK9devWMWbMGGrXrs3TTz+dv/2pp55i/fr1vP7667Rv3z4s6/117tyZBx98kDFjxtCvXz+6d+9O7dq1yc7OZt++faxcuZI2bdrwwQcf5D9n3rx5hfKIQW6vxAUXXMBvv/3Ggw8+SIMGDdB1nV69euXn5VmwYAGzZ89mwIAB9OnTJ38u1Z49e+jfv3+huwI7d+7M999/z1133UWzZs2w2Wy0b9+e9u3bc8MNNzBlyhTuv/9+Lr74YqpVq8bWrVv5+eef6d+/f9AEhaGk6zpDhw7NT47Yu3dvfD4fy5cvJy0tLf+uyZOd7jMKRtM0XnzxRW655RZGjBjBd999R8OGDfnrr7+YP38+sbGxvPTSS8XmoTOjdu3aPProozz11FMMHjyY/v37U7FiRVauXMmaNWto2LAhDz300Fm9xsmK+27PxNVXX82ff/7JF198Qd++fenWrRs1atQgLS2NPXv2sHLlSq688kqeeuqpYuvJm490zTXXFFkmLi6OSy65hClTpjBjxowzzsV12WWXMWvWLBYuXMhll11G79698fv9/PDDD7Ro0SJo78zdd9/Npk2b+Oqrr/jxxx/p1KkT1apV4+jRo+zcuZPVq1czYsSI/Mnr//73v3G5XPnzspRS/Pbbb6xfv55mzZoVuGv7888/Z+zYsQwfPjxkSxY1bdqUpKQkjh49mj8HOE9eUHb06FGaN29eaL5ThQoVePPNN7nnnnsYMmQInTt3pnHjxui6zv79+1mzZg2pqakF5mh17tyZDz74gMcee4x+/foRExNDQkICN910U7HtvPXWW5k/fz5z5sxh8ODBdOvWjYyMDGbPnk27du1YuHBhoec8/vjj7Ny5kzfffJMZM2bQpk0bKleuzKFDh9i+fTvr169nzJgxhdY9vvDCC3nhhRdYvHgxTZo0yc8j5nK5ePbZZ8/6WC7uPS5evJgFCxYwaNAgunfvjtvt5ocffuDo0aPcfvvtJRYEinPPUiB28lwHm81GxYoV6dmzJzfddFN+hv2TtWrVih9++IGvv/6aBQsW8NNPP5Genk5UVBT16tXjlltuYciQIaYX/baqcePGfPTRR7z22mv8+OOP2Gw22rVrx1dffcW8efMKBGIZGRn5d32+9tprBcbf4+LiGDNmDNdffz3//ve/mTZtWpETL0vSnXfeSZs2bfjss89YtWoVCxcuJC4ujmrVqjFkyBAuu+wy03W99NJLPP/88/zyyy98//33KKWoXr16fpAxZswY2rdvz7fffps/D6dRo0bceuutXH/99YXqGz16NJqmsXTpUhYtWoRhGAwfPpz27dvTpEkTPv30U15//fX8q/4mTZowduxY4uPjSzwQg/+lbfj666+ZNGkS8fHxdOnShQceeCDonVRw+s8omAsuuIBvvvmGCRMmsHTpUn788UcqVKjAgAEDuPvuu2nYsGFI3s+NN95IvXr1+PDDD5k7dy45OTnUqFGD2267jbvuuiuk+2dx3+2ZeuKJJ+jevTtfffUVS5YsyZ8Mn/ceTg30T/X333+zYsUKKlWqRM+ePYste8011zBlyhQmT558xoGYpmm88cYbvPvuu0ydOpWJEydStWpVrrrqKu65556gE+kdDgfjx49n+vTpTJ06lZ9++in/ZpratWtz//33M3DgwPzyDz74IL/88gt//vknixYtwuVyUbNmTR566CGuv/76oDcKhFJeT9fcuXNp3759gbQJ1atXp379+vz9999B79aF3MBqxowZfPjhh/zyyy/89ttvOBwOqlatSqdOnejXr1+B8hdeeCGjRo1i8uTJfPzxx/h8PmrVqnXaQMzpdPLxxx/z1ltvMWvWLD799NP81BB9+/YNGojFxcXx2WefMXnyZL777jvmzp2Lx+OhcuXK1KtXj0cffTRoeqILLriAe+65hzfeeIOJEyeilKJTp0488MADJXYHct57/Oijj/joo4/47rvvmDhxIjabjSZNmvCf//zH0rlelH6aCufEJyGEECVu+fLlDBs2LKQ9aGWZfF7m7Nmzh969excadRHWlEy/qhBCiFJn7NixpKSkcMkll4S7KSKCffDBB6SkpOSvySvOzlmnrxBCCFG61apVq0DG9bPNNSjKt9atWxfYn8ysoyyKJoGYEEKUcbVr15YhNhEybdq0Oau8fKIgmSMmhBBCCBEmMkdMCCGEECJMJBATQgghhAgTCcSEEEIIIcJEAjEhhBBCiDCRQEwIIYQQIkwkEBNCCCGECBMJxIQQQgghwkQCMSGEEEKIMJFATAghhBAiTCQQE0IIIYQIEwnEhBBCCCHCRAIxIYQQQogwkUBMCCGEECJMJBATQgghhAgTCcSEEEIIIcJEAjEhhBBCiDCRQEwIIYQQIkwkEBNCCCFEqXfgwAGeeeYZrr/+elq3bk1KSgrLly83/fxdu3Zx991307ZtW1q3bs0dd9zBtm3bSrDF5kggJoQQQohSb+fOnXz//ffExMTQqVMnS889evQoN9xwA3v37uXFF19kzJgxpKWlcdNNN3HgwIESarE59rC+uhBCCCGECe3bt2fp0qUAzJ8/n4ULF5p+7gcffEB6ejrffvst1apVA6BVq1b07t2bCRMm8OSTT5ZIm82QHjEhhBBClHq6fuYhy/z58+nSpUt+EAZQoUIFevbsybx580LRvDMmgZgQQgghyiy3282uXbtITk4u9FhKSgpHjx7l6NGjYWhZrnI5NJmamkpmZma4myGEEKKciouLIykpKdzNMOXw4cM8/fTTeDyekNc9ZMgQUlJSCm1PSEggISEhJK+RlpaGUorExMRCj+V9B6mpqVSqVCkkr2dVuQvEUlNTubhXT9KyssPdFCGEEOVUYmIic+fOjYhgbOnSpcyfPZuaqaH93TwW62Lfvn1s2bKl0GPDhw/n3nvvDenraZoW0vpCpdwFYpmZmaRlZTPxqYepXimp+MKeHPMV2yyM8tqc5ss6TJY1Ww5At5kvq5T5sn6f+bJet/myRqDIh7rfOoKurZrx/H23527QLHwP8RXMlXO6zNfptnCisvCdqY0rTJc1Fs43XVbTzZ+YsjbvN1Vu51/ppus85DO/z3gNC/uiBVbOzWYPh4WeHAbExhJv8lg7bvLY2eH2m2sA0DjKYbps/QoxpsvGRJk/f9js5o9Hh4WyPr8R8nqdFc1/Brqz4E+nUoqpe4/SJCGapgmxBV+/WlKB/0/zePl0835mpqaRmZkZEYEYgM1QND6SEdI6N9l0GjZsyIQJEwo9FqreMMgNejVNIzU1tdBjedvC+T2Uu0AsT/VKSdSqWrn4Qu4s8xXaLAQ3diuBmLkgQLMSLNgsfO2G+ROelUBMWQlyjaJ/fGpWrsC2nXuoVfVEl7KFQExLPM33n8cZZbpOciwMeVv4zoyDhbvUiywbbf4H2EoglmkzVzbbQvDutxBceazsixZYuUpWJt6bXykI+KmnNHST708zWe5wwPxnUNHCZ1vt9EXyxVrYZ+wWyjpM7l8APiP09boc5s/huvN/ZZVS/HQ4jXgNelaKx3bK/uQ85Xj0en3UjHFAatEXmOWJw+Ggdu3aJfoaUVFR1KlTJ2jP25YtW6hYsWLYhiVBJuuLCPf4P4ey4s/NbN+9N9xNEQKATKWI1TT0UjoMIkLnuNfPtL1H2Z6Zw1V1KhcKwoLJ8PmJtVu4cBch0adPH5YsWcLhw4fzt6WmpvLjjz/St2/fMLasHPeIYQSK7WkBQFm5Ai+hA8tsGwIWrq6s9CxY6N1Qfq+FNpgfYsFXdL1927WkasVEXvv0a8aOvNvaUGrAXBtU6uHTFzpBs5vvjUIzPxTC7r/MV2thmDxnxyHTZffvNdfbd8xv/rvNsLDfei18tx4LvUEOCwFTvInPNl0ZxGu6pc/hiM/c5+CwENu5LPRG5eSYb6uFatEt9HK5nObPoXYLw5jZ2eZ66m1p5qcVeOw6i49nsDHTTeuEGPpViMeZ5SHYp6i7Cp4T9h84TqyFnk1R0A8//ADA+vXrAVi5ciXHjx8nOjqaHj16ADB06FBWrFjB5s2b85932223MWPGDO68807uuece7HY7EyZMwG63c9ddd537N3KS8huIiTLD4/VRvbLJ+V5ClLBMZRBnZa6iiChKKb4+cJzKTjv/rFOFaAsXPqleH2uOZzKgblU4cKwEW1l23X///QX+/6233gKgVq1axSZ4rVy5Mp9//jkvvvgiI0eORClF27ZtmThxIjVr1izRNp+OBGIionm9XlIzsri2T/dwN0UIAAIK7DIqWWZtzfHgVQb9KydYml/oNwy+2XmYblUSSXDIT++ZOrmXqyifffZZ0O3169cPemNAuMllm4hoqzZvR9c1zqtbK9xNEUKUIUop0vwBvIaBUoqAUux0e5l3LINeFa0FYQCb07PRNehQOXR3A4qyQcJyEdFWb9xGbJSFuxqFKGF2DY6d+PEurXmLRPGUUvyYmsnvmTkEFASUQtegksNOrwrxNIyxcJf6CVWjnHgNxQt/7MSDBliYTyrKNAnERESbsXg59WpUDXczhMjX2OZgbiCHI4ZBFStpbUTY5QQMtuV42JTtITtgcFfNykTbdJRSGGDqrsiiVIlycldyLQyl+DvHx7QNR0LXcBHRJBATEWvc5JksXLmWCY+GNvuyEGfDrmnU1G0cMgISiEWQgFJ8eeg48TYb50W7OD/WhevEItOapoXsvnhd03BZSQAuyjwJxERE+mHJb9z/6js8fdcwbr+iX7ibI0QBdjQMSmYlABF6SimWpWURa9O5ukqiDCmLc0oCMRFxRo/7mBc++Zq4mGgG9egY7uYIUYgGlKVMUXv8Pn7IzsahwUV6HE2jrM+RKo2O+P1sdnvZ4vbgirJzXbUKEoSJc04CseKU0JIqlhLFmiyrLNSpWbhZVplMegpYSyprpd5TEnl+NW8xAFk5bt75dhZvPHRSMr6YOAv1mvxsD5hPpkrF6ubLWkgUq3bsMF+v0/wSWukHzK8ddzTTXMLe437z+8Ehk4lMAaKtLJdTQj+mGSYTcdoU7Pb5qWlyQMtsAtqqFpbhsSLTW/zxuMPrpRIabewuFqdlonkC1DGRvNjhMH+uMQLmexCdLvOfg9v9v30soBQH/H52+/zs8HrxKMV5TicXuWJomBCF5jbIMhFCx1nYv3yHCx9jfgtrZYqyTwIxEXF+//wtst1eal46lMu7dwp3c4QopIpu43e/lxxlEF0Gkru2dDj53p3NPsNPj6hoFubkUNdeOGO9BlTQbTRxOnGdw54lr6FYlpXNDo+XOJtOTYeDGg47NRx2sg2DbV4vu3w+9vr8JNp06jocXBQbQw27Pb8HTHrCRLhIICYiTlxMDDv2HgSgd4dWHEtL53h6Fo3q1Ahzy4TI5dQ06tjs/BXw09RuvoeytLJrGr1d0cx0Z1Hf6WRATCxHAgFODV0CwP6An2+zMhgYE0fFc5Cq8qDPz5z0TKrabVyaGE+2YbDP52d1tpsDPj9+v0EDp4Nkp5NesbHE6JEfGIuyRQIxEZGa1KuFpsFHM+cxevwnHDyWyuG5X1DRytCkECWorm5nhd/D+WUkn1icrtPa4WKN10P/mFgqF3FHaFOc/OZxs8Sdw2Wu+BJpi6EUP2dms9XjJaAU3eNiOT/6f/PW6ruc+eWy3IESG6oWIhTk0kBEJKfTya2XX8wdz75JakYWADEuSewqSo+EEz/+6VYWoi/lGtsdpBkG67yeYstd4HRxOBDgL1/B4UulFH6lyDSMQou4ZxoGR/x+lInPa4/Px06vj6uSEri1coUCQdjJdE2TIEyUetIjJiLWuIf/xZJ1G7n+4h48/s5EnE47Q0Y8wS9r1rFn4bfoMgQhwkjTNGroNvYbfhL1yB+ehNwhygExsUzPyiRK00h2BH9fDk2jb0wM87OzmXsiGSqQv9pAjKbhBxo6HCTpOn/5fGRoCqemEa/rXBYfl5/DK5idHh/JLicV7JKnTUQ+CcRExLLb7az/cjwHjh7juY8m4eo6CMPk3WdCnAs1dRtr/F6SlUIvIz0z8brOpTGxzMrJIs0waOd0BR16rWazMzQhAYPcoRct7+9E2cwTk+jTDYN2UVE0jHGhAz9lZTMzI5PLE+JxFvGZZRkGdS3cHSxEaSZdBiLiVa9UkdSFk5ny4v9hs+k88a9/SG+YKBUqaDrRmsYOw0K6lghQ0Wbjqpg49vr9zMnJLjTMmMd2YmjQpmnomlYgYIvTdVpFRdE9Joa6Dge2E49fFBtDos3G9xmZ+IuoN8tQxFpIZyJEaSa/VqJMsNvtzF+xhiiXk/+7a1i4myMEkNv709LuZFvAxya/19T8p0gRresMjIklRtOZmpVJqpU8gsXQNI3esTFEaxoz0jPICpLPMdsw5O5HUWaU36FJTc/9K04kHegWks8qK2+rBJLPAiFPluv1enl32g88cf+/sCVUMvUclXrIXOXHzC/Oq6zkjPpzteminm17TZf1Hko3XfbvvZmmy+73Fs4bFUy6hWSVsRaOMZuFDhArnSVWDgcre23eKHmcptPDEcUqv5dsv5c2jsITy6NNvrmihuqCybFwjJlNKAuFP4PWdifRCiZnZNDdFU0t+/9+VmKtnD5OaUJ3RxQr3W4+P5rK5bFxJJ24SzOgFMc9fjSvQY7/9D2NAZOJYhMqx5puq72i+bL+1OzCG8vIMLUIjQiKNIQo2ojX38flcPDIv24Nd1OEKCRa0+lkd3FcGey1sqpEhGjicNIzKppFnhxSjdD0jOmaRsfoaNq5opiVlcXxQIDUQIDvsjKpZbcTI8GMKCMkEBMRb8/BI7w/bQ6P3X69zA0TpZZd02htd7I+kLu0TllT3WanhcPJ715zS2GZ1dTlopHDwXdZmczIyqSKzc4lcbFlIjebEFCehyZFmWAYBhfe8TDJdWvy4I1Xhrs5QhSrom6jtm5nvd9LuyBDlJEuWtPRSmC5847R0XSMjs7//7JyB6oQID1iIsKNnTyT/UePs+idF8PdFCFMaWJzkKYM9pTBIUofCrvESEJYIoGYiGhfL/iF9k3Po2JiQribIoQpdk3jAruTjQFzNz9EGq3QCpRCiOJIICYikmEYtLjuXyxdt5EhfS8Md3OEsOSoYZBk5Q7bCKFAwjAhLJI5YiIiPffxZLbvOcCMMU9wadf24W6OEKYYSrEh4OOAEaBLGZwjZid3eFIIYV75DcQ07fR5xKxcsZZUWbOs5PAKlFBuMCus3N14Sj4kt9vLCx9P5l9XD+DSbh0KlrUw70b9vdlcwQN7TNfJpj9MF039fpnpsjYLSbT27Q+St6gIaRY+r2CJNYNxlVBHj5UJ2iXV12TpaDiluX6lWOX34gN6u6JxncGE86Iy2AfjNpk/C3IDRLOKu+MzO2BwJODnsO63XK8jYP5b82ebrzfb5H5bx8K5zlE10XRZ3+HCef2UhVx7ouwrv4GYiFhD/vMcUS4nL99/W7ibIoQpbqVY4nWTpOt0tDvL7F1/8ZrOMcPAKENrawpR0sreJAVRph1JTWPWr7/x6ZMPSc4wERGylMFir5vqNhuty3AQBpCg566teTBESV2FKA+kR0xEhHGTZ/LmpBns2LufRrVryLwwERHSDIMlPjfn2Rw0tjvC3ZxzooHNwV8BPzVs8vNSFG+Il3gTkU26FERE+O+7E9GAmWP+y+Zv3wt3c4Q4rWNGgF98bprZneUmCAOoY7Nz0AiQU1LzS8uAfe6ymbpEnBkJxEREaN6oPrHRUVzSpV24myLEaR0MBFji89DW7qRuOesZcmka9W12Nvol2CjKcb8M3Yr/kUBMRIQmDerw9/6D4W6GEKd1xAjwm99DJ4eL6uUsCMtzvt3JzoCfTBmCCyrLyp3rosyTQEyUeve/8jbvTf2BkcOuCXdThDitXQE/0ZrGWp+X1T4P+wP+MrnId3GiNI1GNju/+0K7AHhZkRmQHjHxPxKIiVLLMAwem/AJ47/5nq+eG8UjN0sgJkq/irpOBU3nAoeTOE1ne8DPT94cSzm1yoIUu5O//D4C5ex9m5FtIcebKPvKZ785gK7l/hUnkm4zL6mJsYaFE4aVRYxPk9R29aZtdB52L/6Awchh13B1726mqlWph8y3Ye9Oc3Xu32+6yuwVG02X3fpXmumyVrgtDAdZ+T0we9XmspBWRFn4kbayh4fzCrOhzQG23H9X0200wcFP3hz2GAHqFzFUWRLttfJ5WSpr8jtzALqCv30+Kuq205YPKPPnj10e82W35pibq1Zx/WHTdbasFG+6rApyDi1vQbkonvSIibDb/PdurhjxBB9O+yF/2x1Pvkrzxg34fdLbPHv3sDC2Toiz19TuZKPfy28+T7nqIYrXdTLk7slC4m3y0yv+R/YGEXY3P/4y3y1exl3PvgHAw6+/y7ptf/He4/+meeMGkrhVRLyquo2+zmgCwM8+t6WliiJZumGQWAYXNz9bDaLL3jqj4szJESLCxu/38/7U2TRvWA8FBAyDttffzRufT+WjJx+mTZPG4W6iECFj1zQ62J1U0Gz84nPjK+PBWLph4EWRIIFYIfWjnOFugihFyu8cMREWazdtY9jjL7P/8FGcDjuHU9MKrI28/+gxtk7/mHo1q4WtjUKUFE3TaGl3sMavWOrLTXHhjKS5qBYYJ/7W+b1U021EazpRmoYTawu4l0WO081PFuWKBGLinHnl068Z9eYHtG+WzO1XXsqydRtY9smb1KlRFbfby8FjxyUAE2Wepmm0sjtZ7/exwJtDV0cUSWVw+D1J1+nljGJ3IMAmvw+3UrhR+JRCR0Mj936pGE0jWtOIQaO53YmjnAdpovyRQEycEz/99juj3vyAlx+4gxE3XVXo8agopwRhotzQNS03vYVfY43fS09nVLibVCKSdBtJp9wxaShFXhYtP4ocpchWivU+L4eNADXLaRJcUX6VvcswUSrd9ewb9GjbMmgQJkR5VVm3lbs1GXVNw3HiL1rTqajbqG2zk6Bp5S7xrRAggZg4Rw4dS2VQj87hboYQpUqWMoiWyewAZChFQhkcohXidKQPuLQzm1C1NEz+tBd9J5DP76dixQr/K2NYSP5qYTdVR80nXyX1uLk6Dx0xXWXaoSzTZa2sN5dqYUkUl4U5Nh4LyV/NTiq38lNqWGjr6VOCljw9xD021XUbq/1eclDEmAjIrHwGVs4IVuZlWanXbNk0w8CDorLNZqotdV3mzwmVHeb2yMM+8+ekv1fuNl22Rq24QtuCJXkV5ZcEYuKc8PsDVE5KDHczhAgbn1LsNvz4FNTQbSToOnZNo7ZuY4vfRytH+cot5VOKbQEfqYbBISNAC4dM1Bflk/QDi3PCbxhUkkBMlFP7A37menM4GAiQowx+8rk5bOT2cjazO9kdCJBuoXcykiml2Bfw84Mnm1TDoLpuo4czivPsjnA3TYiwkB4xcU7Ex0Tz9tczaN+8SbibIkRIGErh5/RDttv8PrYEfHRwuKhy4g7CygE/a3xe+jijcGka8ZpGpjJIKMPXxgGl2BXwsyXgI6CgncNFDblDUogyfNSLUuXNR+/j0+k/sHv/wXA3RYiQWOn3MsuTzTZ/0YtK7w742Rzw0d0ZlR+EAdTSbURrGlsDufOSbJpGehm8ezJHGSz3upnpzmaKO4u/A35a2J30d0VLECbECRKIiXPipssupmqlCjwx/uNwN0WIs5atDA4aAXo5o9kQ8JERZFjxqBFgrd9LV0cUcadMxNc0jdZ2J5sDPrKVkftvvw9/GUrf4FeK+Z4cojWNHs4oroiKpacrmpo2O5rMBRMinwRiokT88MtyGva/jm7D7uGbeT9hGAbZbg9NG9ULd9OEOGsHjABVT0y4T7Y5WOf3FnjcrRTLfR7a2J1FZs2P03Ua2+ys9XmJ03Uq6Tb2BKzcTVy6HTUMojSNlg4XCbouE/GFKIIEYiKk9hw8TMcb7uKy4Y+SUq8OgYDBDY88TVyHS0jPzGJAd8klJkqeUopDgQBb/T4OBPwh72mqrNk4ZARwK8V5NjsZSrHd78OrFIeMAL/63NS12al1muG3FJuD9BOT1xvY7PxVhgKxIypQYDhWCBGcDNIXp6wmF7SSQNJuvqzh99LyyltISohn9Tfv0TK5MQB+v58PpsxiwdJVnN+4fl7F5tvgsHAy37bBdFH/1r9MlfMeSjddp8drfp7PQV/Rc4tOFWNhXzQwH3SYz05mnpWZTlaOsOIWijaU4oAR4LhhsM/w4zEUugZVdRv7Awa/KQ/VdTtOrfBrqlP+a5YTjfV+L52cUVzojGKZz80fAR/xmk4jm4MGNvtpF7e2aRptHU5Wn5i4v1YpsgyjyMSmVob0rJzcHRY6qzST2cGOKIMLHE6cJnMc2ixkKNN089+WzeRndsRvPgjOOmY+X2DtRhULt8lvAN7ChUW5JIGYCJln3/2MHI+HfdOnEBX1v5xIdrudfw65nH8OuTyMrRNlWZoyWOb1UNdmp5XDhUtBnKblBy6ZJ3JVBQt9rQRgJ/+kN7brRJ+oP0HXudgVc0Ztr26zkxjws8cIUM9mY1fAT3O96OTIkSBHGaQbBtWkR0yI05JATITMW59/S9NG9XE6JR+QOLcUEKdrtHPmXgCoU4Yi43SduCJ6mUrD9Ph6Njt/B/zUsdk4YGEVhdJqm99HTZvddG+UEOVZGR17E+Hw9uMPsXH7Thr3v4E9Bw+HuzlCRIxYTcOtFJU0GweNAN4Ivntyk9/LXwE/FxSz5JkQ4n8kEBMhc2Xf7uxa8DWaptF92L3hbo4oRxTW1kAsbTRy30O8rpOk6/lZ9yOJXylWeN1s8/vo7YwmtqzOsRUixORIESFVuUISCz8Yw859B5jzy/JwN0eIiKFODJJW023si4BAbF/Az2x3NrPd2cxyZzPdnYUf6OeKkSCsjNJC/CdyyRwxEXL7jhwjJjqKtyfPAE2jb+d26HJiFiUskk/sJ9+JWN/m4AdPNs3tDqKt3OF8Du0N+Fnu9dDJ6SJKy229S9OIKaXtFaI0k6NGhIxhGAy+bzTdbrqH2OgocnI87Dl4mJ9XrQt300QZF7kzqnIZKPQTwViUplFJt3GklC4C/rffxwqvhx6uKGra7FTUbVTQbRKElXEaoGuh/Yvki6dQkh4xETLH0tKZ8eOvAHh9PrLcbob068l738wk2+2ha+vmJMTFhrmVoizKnSMWuaf1AAWvir1K4Swl78enFHsCfjxKkaoMDhkGPV1RJElqCiFCovwGYjYHnO6uHq/HfH3hHnqzcDWqldDdTBWTkjivbm3+3ncAt8fH1LeeIz4ujjuHDGLJmj94e/IMmp/XkF4d2xAVYz4gU9t+N19240bTZX2HM0yVM7LM7wcHj7lNl7Vya7+Vsm4LPSmnpnkIBUt1hiq9QSnsErNbeG86GkqDg0aAwyf+tvm9VLdFF/jurawQYGWfCdZWr1Js9HvZ4vdRRbcRp+kk6DqdnNGmlytSFr4YK5+Xld1GM3k4RFmodEeO+WTMh/akFdp2VEEkDkhZSbprRum41Ai/yNsTRKmSne3mpfc+44LLbySqdS/+2refFskN+WXieCpXSAIgLiaGi7t24O7rBxMwDN77eiYHDh8Nb8OFKEWSdB0d2Or3YUejpzMaBfzideM7x6kslFJs9fuY6c4mWykuccVwkSuadk4XLR0uWTOyHJOhyZJRfnvEhGV+v58fl69i9s9LWfH7n2z9ezdHUlOJiYqic+uWPDn8VgZe1LXIiflxMTEMvKgr67ds57Pps+nTpT2tm6ac43chyiJF7hDazoCPJM2GUgovihhNIwoNm6bhVwqd4pdKCheXphXKzF/dZuM3n4cfvTn0cEbjOgftVkrxi9dDljLoLcOPQpwTEogJU97/ejr3PzsGr9dH1UoVSG5Qj9uuGcSQS3rTqmkyAMpvbu20FsmNqF6tKl/PXsj23Xvp160j8bEyd0ycOaeWO89qbyDA74YXO7lrQWYrhRtFkqaTqQx0oJndSSOb3dK6jeFg0zQ6OFys93uZ78mhhzPK0vDZmdjg95GtDPq6oiUrvigk1ENosoflkkBMBDVp1jwee+NdYqOjSE3PYPeBQ9x13WDe/L8HQ5KKokrFCtx+zeX8vOp33v5yKp1bt6BDi6ayPJI4I0m6jQFR/+tROnmeWkApDhkBEnQdv4IlPjdOTaOurfSf/jRNo6XDRZTmY4E3hy4OFxUs9lIFlGJnwM8BI0CippNsdwQdXtzky50PdrEEYSKI3LsmQzxHTPYzQAIxEcRzEz7i8bfepVen9sRGR6FqVufnL96ldvWqIX0dp9NB787taH1+MguW/cabn02m4wXNaNusCTHRUSF9LVF+2TSNGnlBlwbtHC5WeD3U0m0RE3Ak2x1EaxqLvW46OaKoZjt9MKaUYrcRYI3PQ5KmU9dm56AR4HtPNt2dUVQ8EdD5leIPr5e9AT99XZIRX4hzTQIxgdvt5stZ85j36wrmL1lBWkYWT917J//51y3n5PUrJiVwzSW9OHzsOL+sWsebn02mXq3qtDivESkN6uHzePH4/CTFxZy+MiFOo4puI0HX2eD30cIROesh1rHZsTmiWOpz0xpXsT16HqVY7feSYRh0dUZR+UTQ1QAH2/w+1vq89HJFk6MMFnrcVLPZuDgqpsSHPkVks4V495C9LZcEYuXcsdQ0Ui4ZQkZWFvVq1aB/9y6Me/xh4mLPfdBTpWIFBvftgcfrZdOOnazZuIWp8xZhT89dQPyyDi1oXq/WOW+XKHsa2+xsDfjD3QzLqtps9NCi+dnrJtUwaGZ35PfqGUqReWIYdpPfRz27nc5Bhhmr6zZ+93lRSvG7z0stm42OLumBFiJcJBAr5z6a8h2Z2dmkrpxPVFTpOBm7nE4uaHIeFzQ5D8Mw0HasZ/v+w8xZ/SfN6taUeQXCtMCJJKRxml7grsNTE6hGkiRdp48ritU+L7M8OcTrGjlKka0U0ZpGRU2ng8NFDXvw0/tfAT/17fb8nGWXuKSnWZgTqcdMaVd+AzGHC83hKraI0rPM16db+Ch1K9kIze36lpK02v83Ib5Vs6YEAgZRcfHBy1qYL6KZmLeSRx0/ZKqcDhjLfqGBUkTt3smXH0yka52q1EmICR6QuYr/Tk8W1bSuqXJHfvzTdJ3ZFhZr9lhIvOq0EHye67xTZ8VCWwMmyxongpI9RoCtAR8uNDwoOjlcVDkxRJdpGGjkzo+yEthbmSZv5XLB7Ckhb/WAGM1GN1c0aYZBjjKI1nRiNa1AUtSiqvShSDUM9gb8dHC4cJ5I7WGW2e8BYKfHfOLTlrHmLwStrDpgM/nhWjlqGkabf/2oqMK/DS5DQU4EHacnWPnpMkOuqXOV30BMANC1bUv8gQDpGZkkxMeFuzlF0jSNoS0bsGLfUb7buodsn59bLmhMpRjzgZcou5RSeIB9hp+N/twf/4qaTndHFIm6zsFAgGU+Dz6lqGez41aKDFU613K0IlHXSbTYT3GezcFBLUDcyTcxCCHCRo7Cci4qKgqH3c6i5asY2KdHuJtTLLuu06V2FbrUrsLMLXvYdjxDArFybIvfxz4jgFcpcpRC06CyptPR4cqfnJ6nms3GAD2aLKXYbfhJ1HSa65EzUT+UEvTcpYqEsEJDljgqKRKICapWqsicn5eW+kDsZLUTYvg7NTPczRBhtMfwU0+3U1m3EaVpp808r2sa8ZpG03IagAlRFmRlZfHaa6/xww8/kJ6eTuPGjbnnnnvo3bv3aZ87Z84cPvroI7Zv3w5Aw4YNufnmm7n00ktLutnFkssiQbPzGrJs7fpwN8OSWvEx7M3ICVl9u9Kz2XY8EyOS5leVcwEFlXQbibp+Tpb/EaK8Kw1rTQ4fPpyZM2dy//33884779C4cWOGDx/OokWLin3e1KlTue+++6hatSqvvPIKr7zyCtWqVWPEiBF88803Z/aBhIj0iAm6tWvNax9ODHczLKkc48Lt9/P7weOcXzkBp4UbBU7mDRhM27qXA1luYh12vt+xn841K9G6ahIOm1ynlGYGciUpxLkU7iWOFi1axJIlSxg7dix9+/YFoFOnTuzevZsXXniBHj2KHtWZMmUKtWrV4vXXX89fHebCCy+kT58+TJ8+nauvvvpM38ZZk0BMoOtaxKWE0DWNIU3rs3jXQX7YtpekKCfxLgeG10e1WBdda1UmxnH63fuPI2l4AwZ3t26EXdfZnZ7Nkn1H+Xn3YbrWrkzHGhXPwbsRZyKACvldXEKI0mvevHnEx8cXGIbUNI3Bgwfz2GOPsW3bNho3bhz0uXa7nZiYmAJL9Om6TkxMDE5neKcrSCAm2L3/IPERmLW+bmIsN7VoiNsf4HiOlwyvD7xeth3PZPya7TSrnECTignUjo/GYdPZm5GDzzCoEx+Tf0t7ts9P9dgo7CcOzjoJMVybEMPhbA/Ttu4ly+fngnC+SVEkA2vpJIQQZyfka01aLL9161YaN25caL3jlJQUALZs2VJkIHbjjTdy7733MmHCBK699loAJk2axF9//cXIkSMttz2UJBAT7D98hKSEhHA344xF2W3UiI+mBtHg8ZBcMZ4utSqx/nAaC3cd4lC2mzinnTS3j+pxUaS6fVSKdmLTNA5kubk6pXahOqvEuLjh/Lq8t24Htmw3zWNKR7Jb8T8BFfq7uIQQweXeNRn6On0+H3v27Cn0WEJCAgmn/C6lpqZSv379QmUTExPzHy9Knz59mDBhAg8//DCvv/46ADExMbzxxht07979TN9CSJTfQEzTTp+s9DQJXwuwkI9HM5mk9URhc+WsrJl3yq39h4+lUrlSxQKJXv9X1sIuEmUhD5nJhK4AZGebLqq16whABaD7iT+fP0Bajps4l5Mop4O0bDepWTn4du6gVkIs0UUMYcYBQzvH8fbEedhtGs1MBGO6hcAg2kIKASsJN8OdHcvKDQ9WrrBPrdeLKvJzsZdQktaSopncb1wW4k4rw7ZWAlormS+aWUgvY6UNVr5fh8miURbeWA0LH25sXOHzanRAQY7XdB1l2Y4dO4Le8Th8+HDuvffeQtuLm0ZT3GO//vorDz74IAMGDKBfv34EAgFmzpzJv//9b958800uuuiiM2p/KJTfQEwA4Pf7WbthEw/d+Y9wN6XEOOw2KsfH5v9/YkwUiTFRkJl42udWjo1iSOVEvj2axg63l67xMVSw2yJuTl1Zo5SSyfpCnGMlkVm/YcOGTJgwodBjp/aGASQlJQXt9UpLSwP+1zN2KqUUjzzyCJ06deKpp57K3969e3cOHDjA008/LYGYCJ8HnnwRXdd54oF/hbsppVZlh51bq1ZkWWY2Xx1Jw6cUFe02zo9x0SY2OuTzJsTpKXKDMPnshYhsDoeD2rULTw8JpnHjxsydOxfDMArME9uyZQsAycnJQZ935MgRDh8+TPPmzQs91rx5c1asWIHH48FlYYm8UJILynLs0JGjvPvFNzzz0H2FJj+Kghy6xoUJsdxdoxJ3Vq9Ij8RYtuV4+fJIKkd9/nA3r9yJ5EW7hYhUuqaF9M/qdP2+ffuSnp7OwoULC2yfNm0aDRo0KHKifmJiIi6Xi3Xr1hV67PfffycpKSlsQRhIj1i5dSw1lSa9Lqdx/brcf+uN4W5ORInWdeq6nNSp7GBtlpsvjqRS3+WkRUwUfsPgZ5+HVCNAVd1Ge2eUpQW7hRCitAr1fEqrF1M9evSgY8eOjB49mtTUVGrXrs20adNYtWoV48ePzy83dOhQVqxYwebNmwFwOp1cd911fPLJJ4wePZp+/fphGEb+cx944IHQvakzIIFYObT6jw30vfFOkhLiWTv763A3JyLt9Hg56PVTz+Xg1ioV+CPHzffH01mdlUFrZxS9XNFs8vv43p3FRa5oKuilYUq4EEJELk3TGD9+PGPGjOG1117LX+Jo7Nix9OrVq9jnPvLIIzRs2JDJkyczZ84cdF2nfv36vPTSS1x++eXn6B0EJ4FYOfPcuPd5bMx4Ore9gPkT3w17IrtItSwjm51uL/E2Gz6Ve/dejE2niyuaNnYnNl2no9PGdr+Pue5smjic1LXZidI0nGjYpJfsrNjIHdTIVgYxVu5CFkKcEU0L/WT9M8k+ExcXx+OPP87jjz9eZJnPPvus0DabzcZ1113HddddZ/1FS5gEYuXIvJ+X8tiY8bzx31EMv/n6cDcnovVLimdhWiap/gCXJsVTx+lA1zTWZacWKNfI7qCKbuMPn5fFfjc5yqCCbqNfVOQl0C1NdE2jkc3Obz4vnR0uHBLYCiEilARixdBKKI+YJWbrPc1aiwcOHeHyOx5gyMBLGH6LhTlhVibxWyirjh80XVYr4pbkoLIyzbchI8NUufSMwvl+dKC3I4q1AQ9zDqZxXYXcNnpU4SxeLg3anuh5NJTiO3c2f/m9JFmYIWEpj1gE5RzjLHKONbU7WeP3sszvoYsj6pwEY1bSlljK42WyrJVcWyX1cZTU52yl2jiX+aF+3eQXER1t/hyemGB+JCHYPqNhfr8vTcK91mRZJX365YBhGHQYeC11a9Xg8zdfDHdzygxN02gZ5SLDMDjqD5h6jq5ptHW6WOr1sNzrIc0IeygUsTRNo7XdSYKm85PXzXHD3HcghDgTob1jUtfMpjEu+yQQKwfWbdzCnv0HWT7jS0lTEWI2TeOC6ChWZuegTPbu1LLZGRgVQ7yu8ZM3h30BSX9xpjRNo5XdSRO7gyU+Dzv8vnA3SQghLJFf5XKg5fnJ6JrG3J+XhLspZdIFUS6OBgIssRCMOTWNpnYn3ZxRrPR52CvB2BnTNI06Njs9HFFsC/hZ6fNwVHrHhAg5W4j/pEcslwRi5YCu61x5aV/u/s/TGDIUFnIuXefKxHh2en2s9HkIWJj3VEm3caEzilU+rwRjZylO17nIGUWiprPc52G79I4JEVK6Fto/CcRySSBWTnTv2I5jqWnceN8jpKebn9AuzInWda5KjCdTKdb4rC3mW1G30dXp4jefh0wJlM+KU9NItjvo5ohiY8BnuodSCCHCRQKxcmDfwUPc/8TzAEyaMZuk5p2YOe/HMLeq7HHpOjV0G4EzuCOqkm6jgc3B1oD04oRCgq5jB9IlEBMiJDRARwvpn/SI5ZL0FeXAHSOfoG7N6mz8cSYffT0Nvz9Avx5dw92sMumIEaDOGaYyaWizs8CbQ0u7UxK+niXpCRNCRAoJxMqBRctW8szD9xEVFcW/hpa+rMJlSe5i1GcWRMXpOnGazhHDoNpp8sKJ4qUrhQEkSEArRMiYzXdnlhyeucpvIOZwgSOq+DJWlk4pqT3KdLqJ4OVWr99ATo6bO28YclIZC/OQrAyVubPMl1262HzZ2FjzZVOPmS7q33vIVLljxz2m64xCI9UIUN04fSAV7L6+mjY7WwI+Kp8SiFmZOWapbAl0HIV8GZQzkKBp2IGDRoCaIUy2bGUuh5WBF7NlrSWJtZB81ny12C3Ua6Wsy26+FS4LCV2jTJZNTDSfpNUWY2FpuCAHWSk4RM5IqI/tSP0cQk3miJVhmZlZ3HDvw9StVZOYGFlS51yI03QyziK6qarbOG4YMrR2lmyaxnk2BzvlTlQhRCkngVgZNGX2XLpecQMVWnQiPSODuV98EO4mlXlbfF4yDYN4TSMzyDJHZiVoGtGaxg4JIM5aXZudg0aAnLP4PoQQ/6OH+E/kKr9Dk2XQ+E++4MGnX8If8NOmeTMmvvEi11x2iWTTL2HZhsFP7hxcmkZOwCDmLIapdU2jncPFIm8OXhR1dDuxMpHijDg0jSZ2Jwu9bjo5XFTSZd6dEGdKo/B6r2ddp5zbAAnEyozMzCxGPPkCtwy5krHP/B92u3y158regJ8GdgcdXC7+9nhJtDK3MIgEXaeHM5otAR8/et3oQF2bjfNtDjlxWdTE7iBa01jr99LbGR3u5gghRCHya11GPPTMy8TGRPP2C/8Nd1PKnb0BP7XsNhJ1G5VD1OuSoOu0010ouyJDKZb73HiUopndiVOCMUviNA2ZcifE2Qv12IqcyXLJmFUZ0atbRzIys/B6rWV1F2dHKcXeQGjvzDuZpmkk6DrdHFEEgHneHDIk+74lCZqOByXrTwohSiUJxMqIIZf1JyoqiufGvhvuppQracpAg7Mejjwd54m5Y03tDn72udno97LZ7yNdgrLTcmgaDWx29gYkEBPibIR6sr70iOWSQKwMuWbAxbwzcVK4m1Gu7Av4qWmznbO5Ww1sDto7XPgU5CiDxT43m2Vx69NKMwwS5KYVIc6Kpmkh/RO5yu8cMbsTHKdJymdYSCFQYgldTX5Fhp8XHh3Bx19P41jqMSomJYXm9S28L5VhPpmqyjKf/FWzcOOB2rfPdNnMrQdNlcsqpidlu9dHPbs9v0xJTUU6ud+rkm7LvwPwPGXwk9dNkq5T5QzmpwXCPXfKwmFzNmFUNor4EByjJdX/aDZjuaOEkqlaYSVRrJU2OJ3m99/YGPPnhMSq5hJCOyrFm67TynkxkOkutE33BYDC20X5JJeIZUjVypWIcjmZOe+ncDelXDCU4qDhp0YY0yJEazrn2x1skV6xYrmVIlquwIU4KzI0WTIkECtjdF3H55dkoOfCUcMgWtOJCfOQV23dTqYy2OyXGzWCMZTCoxQuOe0LIUohCcTKmBy3m67t2oS7GeXC/kB4e8Py2DWN7s4oNvv9eCRPQyGpyiBO0y0NqQkhCtNC/CdySSBWhvy1azdKQUqj+uFuSpnnUYrtAT+1SihthVXRmk4lXeeIpGgo5LhhUFEm6gtxVjRCP1nf7GL3ZZ2cncqQX39bS5TLJUsalTC/Usx3Z1PLZqOWLfw9YpCbzyxNGSSUcBqNSHRMGVSSY0IIUUqVjst5ERI5OW6UDE2VKKUUv3jdxOk67R2uUnMLtg/wKUVUKWlPaXLcMDjP5gh3M4SIeHI5UzIkECtDbrl2MHf/3zN8OX0W1w+6NNzNKZNW+7xkGQaXRMWUmiAMchO+1rXZWeJz08ruJFZ6xoDc3stMZZBQir4rISJVqI+iSD8q//77b3bu3Mnx48eDPn7FFVeYqkcCseJYOXlrJTREZXYyuM2O3QFd2rfhpQkfcf3VVxZT1kLvQMBCWgSfhbv2LNzZaSU3WPaW/abLZmSYe2/6if1gq8/LzoCfAdExOIoIdMzmgwIsJR0zE1a1sTvZEvDzk9dNFd2GXynidZ2mNkeRE9WNksh8psx/CLqFz8tvobc3L9/XcSNAtKbhB4pacPI02QQLsnBOsLIr2EyWLmq/C8ZeQr9yVm56cDgstNduvqyVnGP2eHOLvTvqVjNdp5aQYLqsOnSo0DZXjg/+SjddhyhdDh06xKhRo1i6dClA0JEoTdMkECuvHv/3cPpdd0u4m1Hm7A/4+c3roX90DNGltLdJ0zRS7A5q6jYOGAFcaOwI+NiOn2R7+RyaS1eqxJefEqK8sHLhZEakdlQ//vjjLF++nJtvvpl27dqRYCEwD0YCsTKmbcsWGLL+YEilGQF+cufQIyqapFKQruJ0XJpGvRN3czo0+N3vJZnyGYilKUMCMSFESC1btoxhw4bxyCOPhKQ+CcTKGKdDvtJQyjEM5rlzaOt0UbOUpKqwooKm41aKbGUQUw4DkjTDoFo57Q0UItQk3USumJgY6tatG7L6yt+ZuYzbe+BgqZpEHsn8SvFdegb17XaST7cuaSmlaxrVTgxVljdKKdKlR0yIkJGErrkuuuii/PlhoSBnqDLmt9//wHYWua2OHD3GJUOGlvvhTaUUCzKyiNZ02jpc4W7OWami2zhaDr9PNwoNJKWHECKkRo0axZ49e3juuefYvXv3WaeNiryxFhGU1+vlrpGP8cnkKVzer88Z13PJtUNZve4P1m3YSKvmzULYwsihlGJJVg7HAgGuTkrgwNGccDfprHiVKtGrz4BSBMhNoVGapBkyUV+IUNG0EpisH9rqzpmEhASuuOIKnn/+eT777LOgZTRNY8OGDabqk0CsDPjwy6+5+9EncDmdfDH+Na694rIzrmvtH7k7TvUqVULVvIiSbRjMzcjEYyguT4zHUcqCizOxy/Bzgb1khlb3BvysP5HipIKmU1u3UUO3YzfxuWUrgyil4SqhzzhNGSRIRn0hQibUc8Qi9ez63nvvMWbMGCpVqkTLli1JTEw8q/okECsD5i3+lYS4OA6sX37Wyxvpuo5hGBw4fJjq1aqGqIWRYbfXx5yMTJq4XHROiC4zi0RnK0VcCfQM7Qr42Rzw0cXuIlbTOGAE2G0E+DPgo43dRdUgd5hmK4OtAR/HDAMvCk2DqrqNZnZHyG8mSFcG1SLgLlchRGSZOHEiHTp04P3338fhOPubgcpvIJa7gulpCln4YbCU/NVCWROB1TOjHuSbmbMZfOvdTP3kvdMGY5qz6ASHdrsdv9/Plr9207pNO5TbQuLVo+aTqaoct+my3gOppstmHzdfr/1ExktDKZZl5fBHjptLkuKo7yrYexRjIbjNtPDd2qwkU7VQr37KfIWquo2VPg/1bXZq6jZTvVXBGCp3GSUPir1GgL2Gn452V36QV0O3U0O3k6oC/Ob3kKjptDgRYLmV4uiJIK2ubucCu5METcOmaWwL+FjocdPI5qCxzV5kAGwlQamuaaQrRRPdlp+Qt8j3Zb5aS3NBzB85ucPHZtgtvL6VCwkr+4TNQtZi3cJYlt3CF2wl+avmNPczZyVJK1UtJH91FZ5jqmXkADvMv14pIf3LudLS0ujfv39IgjCQz7VMaNSgHotnfsPcnxZTu2UH7vvPE+zau9f083fu3E2b7r3JzMzEcSL9xZ+btpRUc0uVtECAr4+ns8/n58aKSYWCsLKgvd1JQ5udPYafH7w5HDzlDspsZfCH38uffi/HjUDQYMNQigNGgEV+Nyv9HtKVQRd7VNCetoq6jZ6OKCrrOj/63Mz0ZLPI52a3EaC13UkTu4MkXUfXNOyaRhO7kx7OKFKVwU8+N+4QrJfqV4osZRBfRno1hRClR5MmTdi/33zHw+mU3x6xMqZz+7ZsX/kLo55+gcnTZjL2/Y+54tJ+TPn43WKfZxgGLbr2ICMzE7fbg9PhpEb1arzx9rv899GHI3YM34wtbg8L07NoGxtNu5ioMpv2w6Zp1LbZqW2zc9QIsMznIf5EAJVuGPiA+rodDVjr92IANXQbTk0jTRlkK0WWUkSh0drmpJKJ4T6HptHI5qCRzZEf2BX3+cZqOh0dLjb7ffzic1NNt9HAZj/jIdUMZRCn6aftDRNCmBfqwylSj84HHniABx54gD59+tCiRYuzrk8CsTKkZvVqfDruNQCWrlzFRYOGcOl1NzPrq0+KfM7op54lKzsbTdNISkokNS2NL95/m1vuuY+7/z2SCS88ca6af854DcVP6Zn8lePhigrxVA9R93IkqKTb6OuMJlUZuSdBBTFo+QFLsrKTfqL3y6MU1TUbMbpGrKZjP8PTppUAN9lmp5Kuc8QI8LPXTWXdRn2bnSoW53qlKYMkmagvREhFauAUatOnT6datWpce+21tGrVijp16hSaEqRpGs8995yp+iQQK6M6t2/Lr7Om0m3AlfS+8noWTPmyUJmt27fz6ri36XlhV5YsX8mYcRNw2O0MGTyINb+v471PJ5a5QOyQz893x9Op7rBzY8VEXOXwx9qpaVQ9sUh9jlFwGFDTNBI1jcQgn4tRAuuDn0rTNCprNirrNhraHOw1/Kz1e6mg6TS226lsMiBLMwwSJHWFEKIETJ06Nf/fq1evZvXq1YXKSCAmAGjXqiUr5s6gY79BXDjwahZNn5wftc+et4BB1w+lVcsW3HP7rSxY9DOj/vsM9/7zdgC6durIy2+ND2fzQ8anFNvdHjbkeNjn9dEzIY5mMVH4fOUv23wkcWoaDWwOaut2/g74+c3npbHNTiOb/bS9bGlKUb0cBtlClCQ95OkrIrOPbdOmTSGtT85UZVzLZk1ZvXA2q9auo0GbLixduYq/du5kwJAbuOGaq/jlh5m4XC4+e2ccm39bwhsvPAvAm++8R706tcPc+jOnlGK3x8sPqRm8c/Ao67LdpES5uKNqRZrFRIW7ecICh6Zxnt3BhU4Xuw0/831u/vR7yVLB73dUSpFmGEF79YQQ4mxkZWXx6KOPMnv27JDVKT1i5cD5yY35e/USrrr1LrpddhUul4uaNapTtXJlYmvWQ6ncSfsJ8fF8NO4NLuzciQWLFjPls4/D3XTLjvj8bMzxsCHHTZSuc360i5urVCD+LJZ9EqVDrKZzkSOK48pgdyDAEp+H3o6oQhPyc1DomixtJESohfyQisBDNDY2llmzZtGmTZuQ1SmBWDlRtUplfp75DfsOHOSJl95gx66djBk/gdeeyx2OPHbsODWaNGfE6Mfp0KY1VStXYdCA/ih3RribflqZ/gAb0rNZn5bNsWOZNIl2cWXFRKo4ZPcuazRNo6JmI0rT2On1B83Eli5LGwkRchqhH0KLwDgMgEaNGrHXQoqo0ym/v1SaLfev2DIllaTVQu+M3eQwmt9cItOaVSvx2Ii7aND2QhZM+Zwu7drwyOj/472JX1EhMZGVs6dQt203nhn1YG4QlnHMfFv/WGO6qP+o+QDPdzSz0Da3YbA128PGbDd7PT7Oi3bRPTaahISE3B6SALgDxafUNJuuKjra/GHi8pufd+bXzc9+d1kILKwklfUr8+31mPzArEzqtzJLz3kiOahSinV+Hyl2B44gw4/pGJYCMSsJXf0WcpxZmoFYAouyByz8zEVbGMbVDPP1er3m35fdZv4Ty8kxny7Xvj/VZMmtput0JHtNlw06nzHLfOJpUfrcfvvtPPnkkwwaNIgGDRqcdX3lNxArx6bPnkdsbAwXdenE4H/cxeyFPzGgby8+HzeGFWvW4fF4GX7r0HA3sxCfodiWkxt8/e32UtflpFlsNFdUTsR54ock1ULGfhGZ9hoBspWiky142pE0paghSxsJEXKy1mSuHTt2UKNGDQYOHEjPnj2pV68eUVEFO000TeOee+4xVZ8EYuXQ8tVrqV41dx3Jn35dxqP3/YsnHrofgDFvf8B5DevjdJaODPN+Q+X3fG3P8VDD6aBpbBSXVkogSiZjlzsepfjd76WTw1VkstZ0w6BJEUGaEOLMybTLXGPHjs3/97x584KWkUBMFGvn3n1kZWfxzGtjScvI4N7bbs5/7Kcly3jgzlvD2LpcSil+PpzGymOZVHD7OD82it4V4om1SfBVnq33e6mt24rM7i9LGwkhStqCBQtCWp8EYuXQ8FuGcv//PcXL495l0CV9qVghCchdXzI9I5MH7rglrO0zlGLqniNk+gPc3qg6UUezwtoeUTocMgIcNgL0KWbR+nRlEC9LGwlRImSyfq5atWqFtD4JxMqha6+4jGuvuKzQ9v97YQx1atYgKSkhDK36n4UHU3EHDG6sVw27ruEJa2tEaeBXijV+D63tThzFBFnpSvKHCSHOnePHj7Nnzx4AateuTYUKFSzXIYGYAOCXZSuZMWc+33wwLqztWJ+axeaMbG5tWB27HqnXSyLUNgd8VNRtVLcVf8qSpY2EKDmhz4Qfuef4TZs28cwzz7Bq1aoC29u1a8fo0aNp0qSJ6bokEBMs/W0Nfa4ZypWX9mPwpf3C1o79OV7mHTjOjfWrEi0JWMUJqUaAPYafS5wxpy2bphQ1ZB6hECUi1NfGkTqDYMuWLVx//fV4vV569erFeeedB8C2bdv48ccfufHGG/nqq6/yt59OuQ3ENJsDzV78nYHKm2OhwpLJOabZzd39ZSnx6kk5i4Y98AifT/2OAb178PWEMeAtOBBo7N5ivtrtO0yXPbbtSIH/zzEMPj+SyoXxsTj2pHNy9jKvx3x+oWwL+YUMkwmvAgEL+b4snKkMCzMuqkabv4vV6zOfu2ljwPw+bnaI2MrJ2naasoZSrA94aWF3EnOa40YpRbphkKTpGBbyfXkspPByWIjxrJxcTVdrKd+Y+cYGLOSTc1n4bG0WejxUtvl6/RaOydQ0c3uu64D5uajx2w6bLutyFf4eMiy0X5Q+b775Jg6Hg6+++oqUlJQCj23ZsoWbbrqJN998k7feestUfeU2ECvPMjOzeHHCB3w0eQpHjh1n5kfjubRXj7C1J6AUM4+nkxzlIiXaFbZ2iNJne8CPU9OobSIvWA4K24mljawkXhVCmBOhHVght3LlSm644YZCQRhAcnIy119/PV999ZXp+iQQK0e8Xi83jxjFpOmziI+LZUCvHrw0+iFq16gelvYsy8wmoBTVHHZyDEW3+NMPPYnyI1MZbAv46O6MCp6d/BSpMj9MCHEO5OTkUKVKlSIfr1q1Kjk55kcb5KxVTnwyeSoVm3Vk1oJF3H791cz74gO+GPtK2IIwj2Hwa0YWh3x+NuV4SA8ESA1YWhRGlGFKKdb6vZxndxBrMrhKU7nDkkKI0NNK6C8S1alThx9//LHIx3/88Ufq1Kljuj45a5VxhmHQ7Yrrue2h0dx05eUc37CS26+/mp179oW1XX97fNR3OemdGMc2j5coXccZqTM3RcjtMgIEFDTUzXfapyslqSuEKDEauhbav0g1aNAgfvnlFx588EG2bt1KIBAgEAiwZcsWHnzwQX799VcGDx5suj4ZmizD/H4/rS6+gp2797Jx0SzOa1AfgBZNkpm7eAlKKVNDPiVhm8dD4ygnCTYb91SrhA0i+sAUoZOjDDYGvHS2R1naJ9JkaSMhxDlw2223sWHDBr7//ntmzZqFfuIC0DAMlFL079+fW281v0KNBGJlVGZmFq37XcGRY8fZuHh2gSHIKJeLpIR4duzcTaP6dcPSvj0eH13jYgGKTdApyp8//D7q6nZLvVuytJEQJU+yiOWy2Wy8/vrr/Prrr8yfP589e/aglKJu3br06dOHLl26WKpPArEyaMKnX/Lv/z5PxQpJbP11LpUrVizwuKZpNKhTm6OpqTTi3AdiAUPhVYooSdgqTrEv4CddGbSxR1l6nixtJETJC9cISmnVtWtXunbtetb1SCBWxvS57hZ+WrKc+24bxiuPjczvMj2Vx+vFZiIlQEnYnp5NJbudKJnPI07iU4r1AR9t7U5sFk/4abK0kRAiQkkgFjIlk9AVw+SdhLrOp19P5adfl/H7wu9ollJMRt/MVPBko3IyITu9+Hq3bTTd1Mx1u0yV25+RjeYOkJpqLtGiz0KCUp/ffFmvyYSuVnJSnS5B6ckq2M0ffrVqxpouu3ef+cSUVnqQfMrkZ2slhddJsdPWgI8sw8CnFF7DyL/6DihFujKoodmLDNBSjdwesbwWWknSmmMhSapfmf+8guTxLJLZGNLK9xWwsN9a+cr8AfOfl5UExwHDfFlPTujzxNktJIPOyjZf1hbkpHAIwGU+SXNpEeprnUjuYNu3bx+TJk3i77//JjU1FXXK8aZpGp988ompuiQQKyPcbjf/euQJbrvhmuKDsBOaNW7I4t/W0K7F+eegdf+T7g/wa3o2F0VZG3oSZV993Y7TrvGH34emQb0Td0z+HfBjoNhk+GnncJEU5NdAljYSQpwrixYtYvjw4fh8PmJjY0lMTDyr+iQQKwMMw6DzZUOIcrmY8OJTpp6j6xr7Dh3B5/PjcJy73WBdlpvzY1xUdstakqIgh6ZRz2anrm7jiDLYY+T2OjSxO6im6RzVFL/43PR1RuM66VJaKSWLfQtxDoR8jliEdomNGTOGChUqMG7cOFq0aHHW9UkgFuEMw6BLv4Fs2fE3GxbNLnJO2LHjqRw9nkr9OrVYtfYPlq/7kxsuu/icBmHp/gDrsnK4vFIiuH3n7HVFZNE0jSqajSqnzGGsZ7NxyAiwO+Cn8UlrsOag0E8sbSSEKCFa6OOmSD1id+zYwQMPPBCSIAwkEIt4vQddw9o//mTdgpnUq1MraJlde/bx1fTvqVyxApNmzMIR8HLnkCuokJhwTtv6U1oWzWKiqO1ysA8JxIR19Wx21vq8NLTZ8+dLpRmSUV8Ice5UrFgRhyN0OQslEItglw65kSUrVrLqx7mc1zB4EAbwx+YtdG7Xigs7tsfv90P6MewWJoqHQkAp/nZ7+Ue1Cuf0dUXZUkXTSdA0fvK5aW13UkG3kaZkWFKIkqaRO6UlpHVGaJfYoEGDmDt3LsOGDQtJfRKIRairht3GvJ8Ws3TOdzRv2gTlziiybOWKFdh/8DBAbgB2joMwgJ1uL0l2Gwl2mRsmCjOUIhuFTymiNA0NjQCKbKXwKEW1E8OUmqbR0eFilxHgV5+HdnZn7kT9MKViEaI8idTAKdQGDx7M8uXL+de//sWwYcOoXbs2Nlvhc1DNmjVN1SeBWAS66Z/3MH32HBZ9N4V2rS84bfk6NWuweNlvLFu1ltiYaJrXrHzOE/OtyXLTNMZ1Tl9TRIZMZbDC50EBTk3DoxQGYAOiNQ0bGpsDPvraoonWdLQTk/rjNY0lPg+GUrK0kRDinOnfvz+apqGU4qeffiqy3MaN5tI/SSAWYcaMe4cvv53G3G+/omvHDqaeU6NaVfr36s6S31aTneOm+TWXlXArCzrs9bPP4+Pyiud2Tpoo/XKUwRKfhyY2B3VtRZ+ONvi9rPV5ae9wYT9xAqyo22ig29jo98nSRkKcA6XhrsmsrCxee+01fvjhB9LT02ncuDH33HMPvXv3Pu1zlVJMnjyZSZMmsX37dhwOBw0bNmTUqFG0adPGdBvuueeekH4WEoiFg4VEi5w05OL1evnPM8/z4D3/onfPi04pWPxOUadmDVLTMrj+isvA7+FYWgZzl64kPTObC1Ia0eb884LPG9u3x3RTU1O9Qbf/nJHFebqdrPT/TdA3TCZTBcjxmUxqS252dtNlSyChq93CwWnXzNdrJYHkkRzzN0LkBMy3wW+yqNlvy6sUawMeamg2KmEjq5i21MLODsPPDHc2NsCjFI1tDnxKUUnLe+7/nu+xsh9YOBwNC6lP7RaSv5rdx5xWkrRa2BctHI7mE/ti7bN1WJjnZ7fwG2i2CVZ+Vm0WkgAHOyek6VpEJnQtDYYPH86GDRt46KGHqF27NlOnTmX48OG8/fbb9OjRo9jnjh49mrlz53L77bfTunVrcnJy+OOPP8jJybHUhnvvvfds3kIhEohFkNnzFhAIBHjhyccsPS8QCPDt93Po0LoltWvWIGP3ViZ+N5cLUhrTtmkyy9dtZOX6jVzavTMNatcIebv3+Hz0T4gLeb0icvhOZMc3gCxlkHrir7Zup4F++tOQXdO4wOYkQxlo5P5obgn4MECGJYU4R0K9PLDV6hYtWsSSJUsYO3Ysffv2BaBTp07s3r2bF154odhAbM6cOUydOpUvvviC1q1b52+/6KKLzqDloSWBWAT5ZekyKlesWGSusKIcOnKUw0ePce3lA/hr125mz5xLi+SGdG+XO7+scd3abNqxk5k//Up8bCzd27Wk0YlUGL6AgU3TzupumRhd54g/QJUw3CQgwsOvFIdVgCylyEFxxAjkLsoNxGga1XQbyZqDeIt3O55cvrVd5hwKcS5pYY7E5s2bR3x8fIFhSE3TGDx4MI899hjbtm2jcePGQZ87ceJE2rVrVyAIO1uzZs1i/vz57N69G4A6derQp08fLr30Ukv1yC9jBPn9zw3UrVPb8vOqValMs5TzePWdD0iMj+eiNi1pfl6DAmWaNKxHcv06/Lntb2YvXo7NbsPr9ZKxcj0Vop1c3bQ+VeOiz6jdDZwO9vl8nB8lP5xliVKKdBTZysCjFB7AfeJOxyyVm9srQdOpoOmcZ3dIwlUhxFnZunUrjRs3LtQZkZKSAsCWLVuCBmI+n4+1a9dy7bXXMmbMGL755htSU1Np0KABt99+O4MHD7bUjpycHO6++26WLVuGUoqEhASUUqxfv57Zs2czadIkJkyYQExMjKn6JBCLINv/+pvuXTpbfp6u6wzo05P+vXrkTjA8tq/Ici2SG3J+w7rsP3KM2OgoEqIyWHfwOJ+s3UafRjVpXaOS5df/2+vjgmhZW7IsOWoE2Gb48aJI0HScgAuNeE3HqWnEnvivEKLsCPVkfY3cIGnPnsJzkRMSEkhIKHiDV2pqKvXr1y9UNm+tx9TU1KCvk5qaitfrZerUqVSvXp3HHnuMhIQEvvnmG0aNGoXP52PIkCGm2z1mzBiWLl3K0KFDufPOO6lSpQoAhw8f5t133+Wzzz7jtddeY/To0abqk0Asghw8dJhO7dqe8fPzriJON3nVbrdTp3rV3LK6TusalYi221i176ilQOyo38+izGyyDIO6TpnHUxZ4lWKj4SNdGTTW7VTTbPkZ7vOYv7VCCFHe7dixI+gdj8OHDw86Kb64YLCox4wTN1d4PB7effddatXKnXrTpUsXdu/ezbhx4ywFYrNnz+aSSy4pFGhVqVKF0aNHc/DgQWbPni2BWFljGAZZ2dn06tEtLK+fFOUk3WPubjylFEuzc1if46ZjTAwtol3YpHckoiml2Gf42RLwUUO309wm36kQ5YoGoV6/QgMaNmzIhAkTCj12am8YQFJSUtBer7S0NOB/PWOnSkxMRNM0GjZsmB+EQW7gduGFFzJ+/HiOHj1KpUrmOhoyMzPp2LFjkY936tSJxYsXm6oLJBCLKHabjXkLF3Feo0bn/LUrRrvI9Po4lu2h4mkSs/6Slc1+n58bKyQRZ5OlZyJdhjJY7/eSaRi0srtkXUchyiGNEpisb2g4HA5q1zY397lx48bMnTsXwzAKzBPbsmULAMnJyUGfFxUVRb169YI+pk6khLEy7JqSksLOnTuLfHznzp1FtiUYOaNGCF3XGXrdEB7579NkZ2ef89d32m20rVmZxTsPFFvOrxTr3R4uS4yXICzCHTUCrPR5+NXnprpuo6NNgjAhRPj07duX9PR0Fi5cWGD7tGnTaNCgQZF3TOY9d8eOHQXmoymlWLx4MXXq1KFixYqm2/HAAw8wefLkQu0AmD9/Pl9//TUjRowwXZ/0iIWDlYSuJ+VIenfsm3w3Zx5dLxnIml9P6fa0MkyUnWm6aGD33vx/d9IN3tu5j7XeHFpUjC9U1uszMJTCH1AEfAbeYn6z3Z6SSdJqWClrMtVjwEISz4CV79bCZKo9B80H38f95pO/FpX4dL/hZ0PAx3m6g/NtDhyaRlbAMPX+rCQHNd9S8Fio2Mo8NUurVFroEbCSVBbDXL1OC0mANQuvb+UzsJLg2Mp3ZiXBsdPC96BZzlZ1egELSW2DtTXbQrLf0iTksxEs1tejRw86duzI6NGjSU1NpXbt2kybNo1Vq1Yxfvz4/HJDhw5lxYoVbN68OX/bbbfdxsyZM7n99tsZPnw48fHxfPvtt/z555+89tprltoxY8YMateuzT333EODBg1o1KgRmqaxbds2/vrrL5KTk5kxYwYzZsz431vVNJ577rmg9UkgFkHsdjvLF84nuU07/v3oaMY8/+w5fX2XTefqBtWYuG0/VaOdVIsuOETpVYpp6Rm56wPK/KGItc/wszHgo73dRYL0gAkhTjj1xpyzZbU2TdMYP348Y8aM4bXXXstf4mjs2LH06tWr2OdWqFCBzz//nJdeeoknn3wSt9tNcnIy48aNo0+fPpbaMXXq1Px/79ixgx07dhR4fPPmzQWCwLy2SyBWRjRoUI+xr7zE3f9+iJEP3Ef1atXO6etXj3Fxca1KfLntAJ2qJhLrsFE5ykn1aCe/5eSQoOtckxB/zhcVF2fPUIotho99RkCCMCFEqRQXF8fjjz/O448/XmSZzz77LOj22rVr8+abb551GzZt2nTWdZxMzrQR6J+33UK9OnW48oahYXn9lpXiubJBVQ67vWxLy2bKXwd5df1Otnq8XBgbI0FYBMpRBiv9HtIMRVd7lARhQohCNC3Ef+F+Q6WE9IhFqGHXX8sLY14P2+vXjYum7kmZ9lM9Pg4fD1ha9FqEl18pjhsBjimDvwJ+6tnsNNLtIR9+EEKIsig7O5u1a9dy5MgRunTpQuXKlc+oHrnsjVBvTHiHoddfF+5m5EtyOSQIixCGUqz2eZjhyWZDwEe2UnR0uDjP5pAgTAhRBA1ND+1f6Gf/nztffPEF3bt359Zbb+WRRx5h69atABw7dowWLVowadIk03VJIBaBMjMzSU1L47FHHgp3U0QE2m8EOGIYDHDF0NURRQu70/Li20KI8kfXQvsXqXHYnDlzeOqpp+jYsSPPPPNMfi4ygIoVK3LhhReyYMEC0/XJ2TcCxcTEUKN6dQZfH545YiKy6YADcEXqWVAIIcLogw8+oGPHjowbNy7o8kzNmzfP7yEzo9zOEVNKoYzT5IKxkgfIQq4pS1MUA4WXFdKBn2dPJ6VdF5589jmeGPUw6OZjai3R/Di276j5nGNJiU7TZY2A+Tw8dgs5x0rCEZNLOwFkWXhffs38+/JYyFuUeZr9en8gQJSmkWkYeC3kefKZLGolz5SVnGNWknpbqdcKu4X35jeZGwwgx+Sb81vIP+XSreTwMl0Uv4XP1koOQN3CeTHaZuFzMHnBYWVY3nO6346Tywb5zjJVZPaBhP5GrBI6UEvYli1beOihokekqlSpwtGjR03XF5l7g6BRgwa8/vwzPPXSq6xd90e4myMiyHFlSIZ8IYQ4Q7qu5y8kHsyhQ4eIjo4u8vFC9YWiUSI8ht95G927dKLX5Vfit5BNXZRvqYZBRQs9qEIIgUbIJ+tH6uyIJk2a8MsvvwR9zDAMfvjhB1q0aGG6PjkbR7g5UyZjGAEG3nR7uJsiIkCOMgigiJEMPkIICzRCP1k/Ut10000sXryY119/nbS0NCB3utOOHTu4//772bZtG0OHmp/DXW7niJUVTqeT7yd/yYWXXMaBQ4epXrVKuJskSrE0Q5Gk6ZJ0VwghztCll17K5s2befvtt3n33XcBuP3223PnnivFvffeS48ePUzXJ4FYGdC1UweqVqnM/z3/Ku+/9kK4myNKsWwMYmV+mBDiDIT6Ai6SLwhHjBjBxRdfzMyZM9mxYwdKKerVq8egQYMsDUuCBGJlxs3XXsU7n3whgZgoVrqhiIvgk58QInzk1FFQs2bNaNas2VnXI5fGZcTAfn3IzM4OdzNEKZajDPYafmrabOFuihBCiBOkR6yMCPjDm2tLlH5/+n00sNmJkaFJIcQZ0EM8wz5SetgeffRRy8/RNI3nnnvOVNnyG4gZ/ty/cLCw9ylvTtDthmEw8slnad/qAq4dfDkvjn2XqpUrgc11+kpjEky/vqtxLfNlG9YwXbaSz3yS1MO/ms9QbOVE4XSaC0iyt6WZrjPNQkDst5B11Mqemu4vnN/mmBFgT8BPd3tUgcezrbTBUoJjc6yc160kBy2pRLEBC/V6LLTXYTJRq5UksS4Lb8xKQteSWo/UZiG5Z46F606/ycS2Vi5PUoMcY1bKZtrlYiiSTJ06tdC2vPlt6pTjXNM0lFISiJV1hmFwwUX92Lr9L/yBALc9MJIct5sfJn8e7qaJUiigFH8EfDS1OWVhdiHEGSuvp49NmzYV+P9jx45x++23U7NmTW6//XYaN24MwNatW3n//ffZv38/77//vun6JSyPQD/+vISNW7axbeXPHNm0ltEj7mXH6qX07Wn+dllRfmw1/CRoOtV1mRsmhDhzmqaF+C/c7+jMvPDCC1SsWJGxY8fSqlUr4uLiiIuLo3Xr1owbN44KFSrwwgvmb5yTQCwCbd6+A6fDQe2aNUhKSuTRB+6hXp064W6WKIVylMEew8/5Nke4myKEEGXCokWL6NmzZ5GP9+rVi0WLFpmuTwKxCHTrDUPweL0s/HlJuJsiSrm/DD+1dbvphY+FECIYTQNdD+1fpPJ6vRw8eLDIxw8cOIDX6zVdXwR/FOVXVFQU3Tt3ZOCNt7BaFvwWRTCUYp8RoJ4MSQohQiD0Q5OReYHYpk0bPvvsM1auXFnosRUrVjBx4kTatGljuj6ZrB+hFkz5kkuuHUaHiwcy/LabGfPsU+iRfIkhSoQNDY+C6Mg83wkhRKnz6KOPcsMNNzBs2DCaN29Ow4YN0TSN7du388cffxAXF8eoUaNM1ye/3BFK13Xmfj2RcS8+zTuffk61Ji1Z+HPw1eBF+aRrGvV1G7vClaZFCFG2yKrfADRu3JgpU6Zw6aWXsn37dqZPn860adPYvn07l156KVOmTOG8884zXZ/0iEW4f958E0OvuZIhtw+n75XX0at7Nya9N4GKFSuEu2miFKip21nsd+NXSlJXCCFEiNSuXZtXX30VpRRHjx5FKUWlSpXOaGSq/AZiKpD7V2yZ0CewtOx0bQRiol18P2USvy5bzjXDbqXa+S257uorefeNMcTExBSukkTTL6/f+E/zTV06z3RZDh82XxbzCV2j4pymyzoqxJoqZ9tuPqGr28I+YyVBqsdChlJPgaIa8ejsMgLU0gsf7kYJJEm1cqFrJfGqFebTbYLPQmErn5eVxKeGZq5eC/lcsbLWhsNSQlfzZUtqdmLAQvJXl5WdwSSPhf022MuXQJPOiZDP6YrQi8OxY8dy8cUXk5ycjKZpVK5cucDjW7duZc6cOQwfPtxUfTI0WYZ07dSRfVv+5L03X2f23Pkk1m7IPQ+OxO+XoanyrLpu47AhS2AJIc5SqIcmIzMOY+zYsWzevLnIx7du3cq4ceNM1yeBWBl0y9AbOLpzGy/89zE+/WIS8TXq8dgzz2EYkXodJs6GE83SEklCCCHOnMfjwWYz3x8sgVgZ9uB995C29y8euv8eXnljHIm1GjBm7PhwN0ucYwdVgARZ6FsIcVY0ND3Ef+F+SxZkZmayb98+9u3bB0Bqamr+/5/8t3HjRmbOnEmNGubXXi6/c8TKCV3Xefr//sMTo0Zy/yP/4ZHHn+LZl8bw8lOPccsN14W7eaKE5CiDdKU4rAKkKoOOZhaDF0IIEdTHH3+cP9yYt6B3UYt6K6V4+OGHTdctgVg5YbfbGffqS7z89H+5c/gD3PHAw/zfsy8y9qXnGDygf7ibJ0LErxRbAz72Gn6SNJ14TaeJzSV3TAohzo5G6FNORNB5qUOHDkBukDVu3Dj69u1LSkpKoXKxsbFccMEFktBVFC0mJobP3n6LN557ilvuHcHV/7iDy/tfzNRPPwx308RZOmAE+MPvJRqdTvYooiLoJCeEKP20UE9xiKBzVIcOHfKDsX379nHddddxwQUXhKRumThSTlWsWIHpn3/ML7Om8/2c+dxw5z3hbpI4Q4ZSbPR7+cPvpZXdSQubU4IwIYQoIc8//3zIgjAozz1ihoJIuItQM3nnhd9nvsq4pPx/d+nZm3mzvqPPpZdRv2Ejnn/mqYKFqzcwXa+KTzptmXxZWaaLpqWbXzw1OtZhumz2vlRT5azk8LJyZWNluNBTRN4kr1Ks9ntRKC50ROHSNLICJZPrymxevZLKDea3UK/PQiOsnAWsvDfdQq4r0/Va2cGsvDELQ042K7nyLDQhs4TOx9EmE2xayRFnZV885CucOiYnAn56gorgbPihlpmZyccff8yvv/7K0aNHefHFF2ndujXHjh3jiy++oH///jRq1MhUXdIjJrioR3fGvf4aL415jT83bAh3c4RJ2crgZ5+bBE2jo92FS3rBhBAlSfKIAXDs2DGuuuoqJkyYQGpqKrt378btdgNQsWJFpk2bxuTJk03XJ4GYAOCfd9xG+3Zt6dP/MkkAGwF8SrHC56WBzU5Tu9Naz5YQQogz9vrrr3PkyBEmT57M559/jjqlN7V3794sXbrUdH0SiIl8c7+bQVZWFj369At3U8RpHDICRGsaDW3mh2KFEOJsaJoW0r9Imqx/sh9//JEbbriBZs2aBV32qU6dOhw4cMB0fRKIiXwJCQmsXPIzK1et4ubb7gh3c0QxjiiDqmewuKwQQoizc/z4cerWrVvk45qm4fF4TNcnZ3JRQEpyMjOnfMPEL7/ijbHm18oS59YRI0BlvaSWVBZCiCBCPUcsQlWpUoXdu3cX+fjGjRstZdaXQEwU0q9vH0aPGsnDj44mNS093M0RQfgBCcOEEOeMRuiXOIrQocnu3bvzzTffcOjQoUKP/f7770ybNo3evXubrk8CMRHUU48/RtWqVRg47M5wN0UEUV+3s85CyhIhhBChMXz4cGw2G4MHD2bMmDFomsa0adP497//zY033kjVqlW54w7z03skEBNFmvHN1yxZuYrpP8wLd1PEKc6z2clQBhkqUhMSCSEijqSvAHKHJidPnkzLli359ttvUUoxffp0Zs+eTbdu3fjiiy9ISkoyXV/5TeiqjNy/kNVnIcOflbJmq7SQDFHzmUuQ2qZ5U4ZcMZBbHniEY9svP215vav5NSuNZXNNl61SOdp02dRjbtNlMzLN9Sh5SijYSbCd3XVQHWUnE0X1U+oxLLQ32sI8jfSAuXqtJJT1WDgWciwlqjVd1FKSVp+l47xEiprms/AZWHlfVj5bh4WhJyvfg5Uj8kiQhKrBuC00oJLD/LFbwV64rNMeiRFI5A4lloQaNWowYcIEMjMz2bFjBwB169a1FIDlKb+BmDDlgzdeJa7ueezcvZt6deqEuznlWoZhcNgIcNAIcEwZKKChQw5hIYQIl7i4OFq2bHlWdcjQpChWTEwMSYkJfPTFpHA3pdxb7fdw0AhQVbfR0xnFpc5oKsidk0KIcyXkQ5OR2cN22WWX8cwzzzB//nzS08/+hja5nBandWmf3oz/8BP++8hD4W5KuRal6VTXbdSzyWErhBDhEh0dzZdffsnEiROx2WykpKTQqVMnOnXqRLt27YiJibFUn5zRxWm9/eoLVGjUlHc+/ox//mNouJtTLvmUIt0wqK/LISuECA8txLm/IrRDjK+//prMzExWrFjB8uXLWb58OR999BEffvghdrudFi1a0LlzZ+677z5T9clZXZxWXFwcN15zJaOfeUECsTA5ZATIUAaJkk1fCBEOGhDq80+kRmLk/i726tWLXr16AZCamsrixYt59913WbNmDWvXrpVATITW+Jee44tvpvLWux9w7523hbs55U5N3Uay3cFP3hy6OKJIkIBMCCHCyjAM1q9fz7Jly1i6dClr1qzB4/FQuXJlOnXqZLoeCcSEKTExMdx83TU88cIrEoiFgaZpNLc7idM0lvjc9HBGEa1JMCaEOIciuAcrlD799FOWLl3KypUryczMJDExkfbt2zNy5Eg6depEo0aNLNUngZgw7a0XnuHTSV8zZvw7/Pvuf4a7OeVSfZsDj1Is8LqprdtoanfilJOjEEKcM8899xw2m43LLruMYcOG0bRp07PKsSaBWLGspA20kEbAUlJIc8kILX2VpusELaFS/r+jE+D2W27lyZdfY8TIUeinDI8pb7b5NkSZT9Ia27CK6bL7fv3bdNm4WIepcjE55pcSqmA3/z0k2MzvM3bNn//vzvZoWhoGK30ejmDQ3O4sUNZvYf/yWEhiaTY5p12zkp7U/MnLZ6le80pqbYKSaG2Ope/LfL2GlSStliZsm2+vlUTAVnhLIIG2/yyrjNT1MEI9WT9Se9i6dOnCmjVrmD59Or/++isdO3bMv2uyzhnk25RATFjy+phX+Pizzxh2661M/PjjcDen3HJoGgZyAAshzqGQB2Khre5c+fDDD/H5fPz+++8sXbqU5cuX89RTT+H3+6lRowadOnWic+fODBw40FR9MslEWOJ0Ovl20ld88eUkXn51TLibU25t8/vwKUUju7lePSGEEKHjcDho164d9957LxMnTmTlypW8+uqrREdHM3XqVEaOHGm6LrmgFpb1v6Qfr73yMv9+eCRr1v7OF599Eu4mlTs1bDY2+n3sCvglGBNClDgNZK3JU7jdblatWsWyZctYtmwZGzZsIBAIoOs6TZo0MV2PBGLijNx/73BaNG9G/4GDaNtxMyuXLonUXuaIVEG30ccVzUJPDi5No7Zk2xdClCitBIYmI/NXY+zYsSxbtozff/8dv9+PUopGjRpx3XXX0alTJzp27EhCQoLp+uTsLc5Yr5492fLneppe0JquPS5iydTPw92kciVR1+nqjOJXr5saUTZsEXpSE0KISDJ27Fhq167NoEGD8ifpV65c+Yzrk0BMnJV69eqxevkyWrZtx4CbbuP7iR+Eu0nlSlWbjXhNZ28gQF0Ld2wKIYQlWgkscRTS2s6dhQsXUrNmTdPlDcPgwIEDVK5cGafTWehxmawvzlpKSjK/LvqReYt+ZdSzL4W7OeVOBV3nkGE+JYkQQogzZyUIAzh27Bi9e/dm1apVQR8vx5fQylo+r9NWZ6EuS2l4TNZr+E9fJo/fQvwdMJdDq12rlox+5GFeeu11nn/hpUI5xk6lt+5hugmOP383XTZ69R7TZe12c19ErMN8vi8rw4OpfvPBU3G5wVLsDma5s2los5Og6+RYyMeUaSEvldmcY7qFz0C3kGfKZeFq3EqeJsPCZ1AiycEssPLyVvJn+SxUbCWHVkWH+XONV0VOdq3MgPm2Rgc5F1rZ5UoVmSN2xlQxx6P0iImQ+b9HHiYQMHh97PhwN6VcidI06tjs7A1YCMaFEMIiTdNC+hexY5MhJoGYCBm73c41V17BC6++Fu6mlDu1T6Sz2Ob3FXvlJYQQonSRQEyE1Jsvv0hqWhp33ftAuJtSrtSw2enlimab38fqgLdElnURQpRzuh7aP+kSAyQQEyFWsWJFvvz4Q9796GOmzpgZ7uaUK0m6Tl9XNA40Vvk94W6OEEIIEyQQEyF31RWXc/s/bubaYbewb//+cDenXLFpGvVtdjzhnlUuhCh7dC20f9IhBkggJkrIu2PfoFGD+vS+1NyipyJ0YtAIAEclpYUQIlRO5BEL6V85umuyOBKIiRLz6MMPsmu3+XQSIjTsmkYzm5PVAS/7rKQ1EUIIcc6V4zxioqTVqlEdr89cHjIRWtV1G06crAt4STUMmtoLZ3MWQghLpAfLtIyMDOLj4wFITEzk008/5fzzzw9atvwGYn4f+L3Fl7Gy01m6Sy2C5u/4LEz6dsUU+N/OXbthGAZzFv5Ev4v7Fiwbb2FdrtYdTBet9cdW02X3rdtnqlx8vPkgJvuY23RZn4UEltkWEkh6TuyLsZpOW5uL5X4PDr+PukEWBs85g3pPx2Zh4kfAwrFgKZekhUPMyrBABB25llh5X74SuiO3hL7eEmEhZzI5RuFjzG1EYkCjnbjTMZRVRuLnADfffDOvvPIKVapUCfr4qlWrePjhh1m4cCEADoeDDh2K/h2ToUlRYmJiYmjbpjWPP/V0uJtSbjk1jTZ2J9sMH8dlzpgQQpy1NWvWMGjQIBYtWlRgu1KKcePGcfPNN1vK5yiBmChRTz72GL+tWk12dna4m1JuxWo6zW1Ofg94yYmgZWSEEKWMpoX4L9xv6MxMnjyZpKQk7rrrLp5//nl8Ph8HDx5k2LBhvPXWW1x00UVMmzbNdH0SiIkS1f+Si4mLi+O/Tz8T7qaUa1V1G/V0O6v83hIbWhJCiJKWlZXFM888Q7du3WjZsiVXXnklCxYssFSHUophw4aRkpLCs88+a7kNTZo0YcqUKQwePJhPPvmEq666ikGDBrFu3Toee+wxxo4dS2Jioun6JBATJe7mm27knfc/DHczyr36up1YTWOvDFEKIc5EqHvEzsDw4cOZOXMm999/P++88w6NGzdm+PDhhYYJizN58mR27NhxRq+fJyoqiieffJI2bdqwZcsW0tLSGDlyJDfeeKPluiQQEyXupeefJSsriw8++jjcTSnXNE0jVtMtTZAXQoh8oV7iyGIwtmjRIpYsWcIzzzzDNddcQ+fOnXnxxRdp1aoVL7zwgqk6Dh48yMsvv8xjjz12Jp9Avl27dnHdddexZs0aBg4cSI0aNXjuuecYN26c5fV+JRATJS4qKoqBAy7lCRmeDCulFNlKReq0DCFEOTdv3jzi4+Pp3bt3/jZN0xg8eDA7duxg27Ztp63jiSeeoF27dvTr1++M2zFjxgwGDx7Mrl27GDNmDC+//DLTp0+nd+/evPXWWwwbNoxDhw6Zrk8CMXFOjHvjdfbvP8A7770f7qaUW7uMAFnKoK5efrPWCCHOQsiHJq1dFm7dupXGjRujn5JGIyUlBYAtW7YU+/zvvvuO5cuX88QTT1h63VONHDmSxo0bM3XqVPr37w9AfHw8b775Jk888QTr169n0KBBpuuTQEycEzVr1mD43Xdx/4MPk5mZGe7mlDtHjAA7DB+t7U7sEZq7RwgRRholMDQJPp+PPXv2FPpLT08v1ITU1NSgk+DztqWmphbZ/GPHjvHss88yYsQIatSocVYfxW233cbnn39O7dq1Cz12/fXXM3nyZCpXNp8rs/xeGruzISer+DLRsebrs5SN0ML4sdmyyvwEbBUkwWBRLP1kn2YS+GsvPs+XX03myiHXMnfaFPNtqJNsuqyzVfDMxcFUTc8xVW7ftmOm67SSdDTTQjJVt2F+nzm1aJYy+N3v5QKbkyj0Qo+bZTZRq5W7Mq0k0yipq8YEu/madQuZPK18v5HEyu5zzGf+M4i2cPBkn+lOHAbBdhkrCWHLuh07dhQYaswzfPhw7r333kLbi1ufsrjHnn32WWrXrs1NN910Zg09ycMPP1zs48nJyXzzzTem6yu/gZg453RdZ8pXn9O97yX8smQp3bp0DneTyjyfUqwJeGlsc1BRt4W7OUKISBby3nSNhg0bMmHChEKPJCQkFNqWlJQUtNcrLS0NoMiUEb/++iuzZs3ik08+KTQi4/V6SU9PJyYmBrs9dCGRy+UyXVYCMXFOdevahebNmvLkCy8yb8a0cDenzNtp+MlSBlsDPjYHctf91E76symI13Ti0YnXNGLQir2qPFcylIECEjSZPSFEWeZwOIIO8QXTuHFj5s6di2EYBeaJ5c0NS04OPnqydetWDMNg6NChhR776quv+Oqrr3jvvffo3r27qXY8+uijpy2jaRrPPfecqfokEBPn3D+G3shj/5Vlj86FBrqdOro9d3rHSdsVEAAOB/xkKMVRAuw4MWRdSbORhE6iphN1joOygFJsUj6OK4MKmk4zTRYrF6J0CP9ak3379uWbb75h4cKF9OnTJ3/7tGnTaNCgAY0bNw76vEsuuSTogtvDhg2jX79+3HjjjfkT/s2YOnXqactIICZKtbvvvIOHRo1m6fIVdO5ofkFvYZ1N0yhqQNIBVNBsVDhxLlRKkY3imDI4rAJsVT4aaw6qn6MhzQxlsE35iEHHrkFjzXFOXlcIYVKYe8t79OhBx44dGT16NKmpqdSuXZtp06axatUqxo8fn19u6NChrFixgs2bNwNQvXp1qlevHrTOatWq0bFjR0vt2LRpU6FtgUCA3bt38+GHH7Jlyxbef998hgDp9xfnXFRUFI0aNODVt8aFuyniJHkJX+vodprbnLTWnWxVPrznYEmkgyrARuWjtmanlmbDhYarFAyRCiFKD03TGD9+PAMGDOC1117jjjvuYPPmzYwdO5ZevXqFtW02m4369evz1FNPkZSUxMsvv2z6udIjJsJiyJVXMPbd98LdDFGMWE2nkqZzUAWoo5XMqcKvFDuUn3QMmmsOYjSdbGXgJ7eHrjTMVxNCnBDmoUmAuLg4Hn/8cR5//PEiy3z22Wem6srrMQu1Cy+8kLFjx/Lkk0+aKi89YiIsRj/8INnZOYx/VxK8lmbVNBtHLKRGscI4MR8MoLXmJObExPwYTccGZMhSTCXGh2IvfnbgI8dSEhEhxOmkpqaSnZ1tunz57RFTBkoVfwLSSiLfl1X/396dx0dVnY8f/5w7S/aFsCQkBBIIguyCbIKiIrZi1WpFKoKttqICammrdenX2tZfq7Z1qQjiWgSLQhXcN0RRRCogqAiyK5vIGkK2Wc/vjwAFCeFcmMmd5Xm/XvNSkjPnnpm5c/PcszzHOI9YlI5vI+cYNla4pWdnM2rE5dzxp7sZM+a6hqvNq39svz66Sw/jsmmbNxuVq1i6zbhOOzm07LBTr51cZseSgqIWTUhrTMMxk+OHtGY1ASygvXIf1vNVqzV+NOknsBmTx8addrbL/LzNtjFdrjxo3obtgcgEu2E0fsBP3XsYRBMEgmgUigJchNGsI0gmFqko1hHkZDzGeeKiJTdK+dyqopDPLWlvESLdQ51gHd4VFRUsWLCAKVOm0LlzZ+PnJW8gJhw38aH7mfrv6Tz25NOM/sVVTjdH1CMdRRYWy8J+OiiPrQCnPlprthNmYzhIjrJo970gDGCNDlCs3LIDwDGE0OwlzF7C1O4PwIJovKj9D3CjcAMpWPjRfIkfF4p8XBTsX8ZRTYBdhGlx1GUdQvC/zPoRrzT+dOzY8ajTJrTW5OTkcOuttxrXJ4GYcExqaioD+vdj8hNPSiAWoyyl6Gx5+CwcYM8J/rE+MBTpB8osD02URbCeroVqNB0kKDiCD035/qCrmjA1aLKwyMWi+f7gywOoBv64FeI64vdNsNgtgZgQxn784x/XG4jl5uZSUlLC+eefT2ZmpnF9EogJR90w5jqGj/zZEQn6ROw4cME53mQSWmt81PV0uYBuyoMlvV3GfGi+JUQ5IXJxkYaiCW4yULaHE+sL0nxoUuO0Z0I0rogvnonT0+6ee+6JaH0SiAlHXXzhBViWxb+fm8HIET91ujniKIJoNuoQu783r7K+62iIusngISAI+LVGAy2URWk9Q5GifhrNTsJsIUhzXHTGiycKf7nCyB8CYcL5hK6JSr5/wlGWZdGzR3cmPva4BGIxrJ3lZs/+hRvHmqjsAtzKwk3dHCWPUqQQhbvpBBZCs5Hg/mFaD2lRXODuRuFP3unnQhzT1q1bj+t5hYWFRuUkEBOOu2nsGEb94hoqKirq3ehVOK+JcpHeiEPHyRyy1aJZR4B0FB0bYTVjBoo9xmtiRVJL0pups88++7huJFeuXGlUTgIx4bjLhw/jVzf/jqtGX88Lzz3rdHOEcMweQnxDiCJcNMNqcOJ9pKSi8EmPmBBHNXbs2Kj26EsgJmLCw/f/nct/dhXbtn1HQUG+080RDtJJGBSE0WwhxB7CtMdNRiPm2vajozL3TCSgJJ0j9pOf/IS8vDxSU1OjUr8EYg2xlZzTRtJAbeNkjsZ5Gg7aKGujrcdIkHsYd8ph/7zsp5dzy+/v5CcjRvHRB/MO+53KaW5crWra0rwNLc3Kul1fGFeZ4zH/Sm31+Y3LBqIUm9jJC1Zfqon6hGwEUvWdXWr/z0/kku+O0vU9kgl7w1pTQ91G618RwIOiEx7cjRwU7SEctcAvWp9Dc495ezNdZo0oD5pfv+ycB/UNLYfiJAA5QsTbHR/vw+DBg7nvvvu44IILALjyyiu5/vrr6d+/f0Tql3wBIma8OHMGHy9cyEsvvex0U4TD4uPyfHy01pTrEEvCfr4MB9iqg7TERRnuRg/CatHsJESh5BAT4qjcbjfB4P86MD755BN27twZsfolEBMxo+cpp3DpT37ClVdffdhJL0Si2KvDLA77WRsO0tpy08eVQncrhSb1JFqNNr1/ZWYBLrwJHfqKiDiQWT+Sjzg57Vq1asXcuXPZt2/fwZ9Fcs6YDE2KmDJtyr/Ia5HPL0dfy7+eetLp5ggHJOIMsbDWbNRBtuoQ7S1P3UR8h4endhMmhKaF/BkQppJ0aHLkyJH8+c9/Zs6cOUBdEHbzzTdz8803H/U5SilWrFhhVL98A0VM8Xq9PDl5MpePGsXNv/0NnTt1crpJwgHxcXk2E9KaL7QfC0UvK4WUGJkfVIkmDxdWQr3bQkTeFVdcQVlZGQsWLGD79u3Mnj2bXr16UVxcHJH6JRATMWf48Mv42wMPcMFFP2b9mtVON0eI46a1ZoUOkIqig/I43gt2KIvE7H0U0ZLcmfX79u1L3759AZg1axbDhw8/OHn/RMkcMRGTXp09i42bNnHf3/7udFNEI4vn4EBrTWD/A2CjDhEGToqxIAzq8odV21ntLYQA4N133+Wcc84xLl9ZWcltt93GunXr6v29BGIiJhUUFHD7rb/j93/4A+Xl5U43RzSy2ApZGubXmtWhAB8Ga3k3VMv8/Y9lYR9bdJAOMbrJeQ4WFYSTMm+bOE5KRfYRp4qKikhLSzMuX1tby+zZs9m+fXu9v5dATMSsP911F82bN+PC4SOdbooQ9arVmkUhH2HgFJeXs12pnOVOY6ArlTbKTU/LS2qM/sHxovCiqJBATJiKdCAWm1+NqNAN5J5L3jlioQAEj5FQU5tHvLaStNpKCmlY1k6d2nxfOR02H7pQAZ95GzxmGYpfmjWLPv368+qc9/nR+UOP3YbCtsZN0AVmCV1bFmQY1/np13uMy7qj9Ac6zTKv1xe2kXzVtFpt43Wp+o9vqSOPZ6Op+Gx8Hzw2Kj603qDWLAn7KVQuipUbNPjg4HcxRVuEgWqDthi/tcYtNdMMF7sIkafMr1+hGIjb7JzjpmXtfBd8ptmNgbR6EsoGpQtEHEJOBxHTTu3ViwuGDmX02HFON0WIw6zRAXKVRbEVv/ezeVjsJUwwgjsGiAQW8TxiSdQl1gAJxETMe+ThB9m27TuWL1/udFNEI1GYbSNTqzWbdZAtOsi3OshuHaJKhwlojS8cplZrqnWYal33/36tCWrd4DCBiW3hIPu0pkzFbxAG4EaRtT8YE0I4I76vIiIptCoqol3bUm79/R94dfYLTjdHRJkGlob9VKM5yfLQQh25/U6VDrNFh9hNmGZYWEAI2EUYH/9buVilNc2tuueHDz7qgrB0ZZGOohku0lCkKkUqCm8Dd+lBrdmiQ2zRQbpbXlwJcEfvRSH7WAgjSZrQNdokEBNx4aZx47j5ttudboZoBG6gleUmHcWX4QBVSpOvLMIa9qH5ToeoQdNSueiFt96Nyy1Vl0h1cdhPB8tD9vfmQAV13Wbb1Wh8aMr395jVak22UnSyvAcTr2qtqUDzbbguM34TZXGK5SXNxryqWBeUCfviWA5scRTpOoUEYiI+jBzxU24Y/2tqa2tJTTWb6C/i02mu/32+PSwv3+ggy8MBADJQtFQummIdMyWESylKLDfrdJAeHJ7Hy60U2SiygcxD/riEtWZFOMDX4SDNLYsardmqQ/i1ptBy0Ut5SU2gACyAZjchOuFxuilCJC0JxERcyM3Nxe1y8dFHHzN48FlON0c0khSlOEnVBQl2Vk0e0AKLrYTYTph8jhzi/D5LKdpZblaGA1SGw6SgaKPcNLPqAj87qzHjwW7C5GAlVO+eiCIZmjwuHo+H3r17k5OTU+/vJRATcSM7J4ePFkogJswppWhHXWDVzLKM5nSlKYuerpRGaJ3zKgmTK2u2hJHk3uIIYPr06eTk5DB06NFTKb3++uvs27eP4cOHH/xZTk4OU6dOPepz5Bso4kZWZibbtn3ndDNEnMlWFjnKYqON/HnJwgUyUV8IA++88w5/+tOfjtqrdUB2djZ33XUX77//vnHdydsj5q8FX03DZdKyzOuz7CRUjUbZKA2ZhM0v0/oY+XEPpVJt/FF0ewHo3ac3jz/1NANOP50rRoyov968QvN6883KNjutzLjKnE1LjctuD9Qal82uJynk0VTZyLiZ67ZxLxY0S3FgK0msjaGJE0mwUKY8LAn7KNKuI4bhamy0N2Tjexa28T13asCzKS7WEaSJtkgx/CxioQ+jvgUaR1NfQtX62Dm/bOSTxVXPO6btVBBLkngI+5VXXqF79+4MGDCgwXIDBw6kZ8+ezJo1izPPPNOo7uR9V0Xcmfn884y5/npGXfkzLh9xBWEbWf9FcktRiiLlZr2W/p9DZWHRBIs9kkdMiAZ99tlnDBo0yKjs6aefzmeffWZctwRiIq489OADvPHaa8x+6SVK25WxdetWp5sk4kQr5aJShymXIcrDeKlbPSnEMR3YeyxSjziaI7Zr1y7y8/ONyrZo0YJdu3YZ1y2BmIg7P/jBuWzZtJG01FRK2rbjhRdfdLpJIg64lKLU8rA2HDzhzPqJJAeLXYQll5g4NmVF+OH0CzKXlpZGZWWlUdnKykpbaZYkEBNxKS8vj69WruDqn/+cYZcN59VXX3O6SSIONMfCreBb6RU7KB2LplisJiA9Y0IcRZs2bVi0aJFR2cWLF9OmTRvjuiUQE3Ht0UcnMfyyyxh++eVUV1c73RwR45RStFMevtZB2ej6EK1wkYXFN7KGUhzNgcz6kXzEUZfYmWeeydy5c1m6tOEFWcuWLWPOnDmcdZZ5miUJxETce3baVNLS0rjspz91uikiDmQpi2bKxdcycf8ghaIQF3sJ21oZKkSyuPLKK2nSpAmjR49mxowZ+P2Hpwnw+/3MnDmT0aNH07RpU0aNGmVcd/KmrxAJw7Isbvntb7j7L391uikiTpQoN4vDPgq1i/QkXpJ/qBB1d+Z7CJOBIk3u08VhVOTTV8TRZP3s7GwmTpzIddddxx/+8AfuvvtuSktLyczMpKqqivXr1xMIBGjSpAkTJ04kOzvbuG4JxBoSsnHH7LLzVtpYKq4NT3w757OtIRkbc2nsrIA/Vg63Q2Uc+4T++VVX8bvbbmd3tZ+8vDyjalWLYrPjn3yyWTmga7fNxmU3LTIvW20j11XAxueb5z72tj8H7A6YfcApNnIkBeycihG8ZntRtFUevtFByrT5Pot2TvF4SgihOTA8othGiDDQGU+9ed7sfAweG+eCne2j7OR+i0bKrvpyg9k5fhzFH4eL1/xnEdKtWzdefvllnnjiCd5++21WrVp18HeFhYWce+65/PKXv6RZs2a26pVATCSEFi1akJGRwTPTpvGrG290ujkiDrRSLrbqILt1iDxlHpAmKheKHtQlT15LgO2EKJA/EUIcplmzZtx6663ceuutVFVVUVlZSWZmJhkZGcddp/Q9i4Rx8skn88qrrzvdDBEnLKUoUx426KCtLPjJoCUudhBGy3wxcaiIp6+Irx62b7/9lilTpjB9+nR27dpFRkYG4XCYO++8kwEDBtCjRw9GjhzJ4sWLbdUrtzsiYZx2Wn9e+M8LTjdDxJGmqm5rn28JUSSXw4PSUSigGk1GHK1sE1GWxJt+r1u3juHDh1NVVYXWmgkTJjBt2jSuueYaNm/eTFZWFkopFi9ezFVXXcX06dPp0qWLUd3SIyYSRpPc3CNWsgjREKUUbZWbTTqEX3rFDlIomu3PLbaWADsIEZbeMZHEnnjiCQKBALfffjsPPvggWVlZ3HjjjdTW1jJjxgwWLVrE0qVLefLJJ/F4PDz22GPGdUsgJhJGfn4Bu/fsYeKjjzrdFBFH0pVFcyw2SjqLwxTgpiveg3tRriCAT4Kx5Bbpock46m1dtGgRw4YNY9SoUfzwhz/ktttuY82aNVx11VV069btYLkBAwYwbNgwlixZYly3BGIiYVx77WiuHHUFN/zq1/zmlt853RwRR1orN7sIU6Xjaa1j9LlRNMXFSXhojotVBKiJq/WgQkTG9u3b6dChw8F/H/j/srKyI8q2b9+e8vJy47olEBMJw7IsnnrsMW4cO4ZJkx9j+/btTjdJxAmPUrRWLtZr2YfyaPJxUYSLr/YPVcpE/iSjiMKm306/KHN+v/+w/SNTUlIA8Hq9R5T1er2Ew+Y3LBKIiYTzt3vvoaiwkHYdO/HpMbajEOKAAlwE0OySHp+jaoqLDnjYSYgvCVAh71USUUk9NBlNskyoAToYMC6r7KwmUSk2ypreddq4O43aHb958lftM98XUqWkmTdBh3G7LFZ+vpTzLriI3v0HMPGfD3LtNb88st5W7c2q/HrVsQvtl35qh2MX2q/48x3GZb/x+YzLei3znFh20jaY5nLMdZt/F2zk5bSV8NNno+KDoYRSlOBhrQ6Qi4VVz4quiqB54JGo/UVpWHTAQzlhNhCkK579ayyPZOdzsGwkC60MmX8OoSj0N3hPMLGpWwKQuDRv3jx27twJQE1NDUop3nzzTb766qvDyi1fvtxWvRKIiYTkdrt5543XuOtPd3P9DTdRW+vjphvGOt0sEeNylUWGVmwlRCu5PB6VQtEEF98RYjdhmiIJcZNCEqevAHj11Vd59dVXD/vZ888/X29ZZeO1yZVGJLS77vw932zaxF/uvU8CMWGkRLn5XAdojouUOPtD0diKcPM1QXKxbG37I+JUEn8fnnnmmajVLYGYSHh/++v/Y8rUaXzw4XzOOH2g080RMS5NWeTrunQW7ZX5PpTJKAuLLCw+w086iiwsUlF4UXhQeHXdDgZaa/ah2bl/H0sviqZYZMiG6yJO9OnTJ2p1SyAmEl6zZs3o2aMH4397C0v+u8Dp5og40ES5+EqbzxFNZiW4KcZFJZpKwuwljB/w758ll67VwdmjLbBwo6hBs4oAqVpRips0CcjiQ5IPTUaLBGIiKTw2aQKn9h/IW2+/ww/OHeJ0c0QMC2nNWh2grZLLoykXihwUOd+bGO+mbpskBWSiDps3U6xdfEeYLwnQRrsp1i5b82qESBRypRFJoecpp3DB0KFc8bOr2L5lI1ak7+xEwqggjAdFcyUT0E+UWymyjzJ3TClFAS6ytGItQfbpMO3wkKoUYa3ZTZgaNM2wpMcsVkT6c5DAG5A8YiKJTJ82hcqqKm694/dON0XEKK01FVrLGsBGlKEsuuIhS1ks1T4+D/v5VPv5Voeo1ZrlOiBJdmOCqhuajORDABKIiSSSnp7O3+/5K/948J/Mfe99p5sjYky1DrNM+yknTDuZpN+oLKVordz0USkUKRdlykNXy0uZqsu4VZmwWdmESOahSX8t+GoaLuNJbfj3h9A2onvlsvG2m9YbttHFe4LJCI/KTjdz2MYGy5V7zMumZzf463HXX8tHCxZw3gUX8c3yTynIzz92nc1aGB9eFRQYlz3l9DbGZfnwG+Oiq2pqjcu29JoHHO1Szb4Pn1cd43t1iBwbyV89Ns6vnQHz5MI7AuGDPS/Fyk0LLBSKUD1/+yUcsMdOwt6K/UlaPfuHMg9k7c/WFl/ipwwP3v3ngM/G9c409Wu2y/xczHaZH99Xz3vgj9Y1OJoUkR9KlKFJQHrERBKaPnUK2dnZ/Plv9zvdFBEDtNas0n4KlYt8JRPGY00+FjlYrCAgm7KLhCSBmEhKF11wPrNeed3pZogYEARq0bSUmWExSSlFkXLTGherCVIuwZhzIj5HTG56QAIxkaTu+N0tfPvdd6xZt87ppogYoL6XWkHEnjzlomx/Jv/VOsDXOshOHbK1X6o4QZHe9Fu+coAEYiJJlZaW0rVTJ358xc+cboqIAVpmf8WFrAMrLFF4gO8IsRQ/m3UQvwRkIk5JICaS1kvTp/DV6jU8/ex0p5siHCQ35fHFpRQtlZsi5aaz8tIRDz40y/CzSgfYo0MEtUZrjW//f0WERHpoUnqhgWReNSmSXmmbNvxqzHWMvunXnHFaP9qVljrdJOEAC/OVdSL2ZCiLdli00ZpdhNlCiGqChAEXkBm26Gp5SJeksCcu4qs9JRADCcREkvvH3X9k3ocf0f+coWxd9QVut3wlko1C0lIkArdS5OMiH9dhvWDbVZjvdIhSCcREjEravzq6phpd7W2wjErNMK/QZWPFVcBvXtb44mHjImOnO9jONi+2hgDM8zzpsHl/hQrZyE+WkgbAB3PfobC0PUMuGc57bx25ktJq1924yvDuneaH77HPuGynb8uNy7bzZRmXzWnb1Lisp9gsn1rGjCXGdb6/2/w9cNs4b/M95udtQGtWBAK0cltYxzjG7qB5G3bYyGVmmm8r3gLGkI0W28k5dsw0Yod8jhkhxVcESAupBnvFUmycXyEbPUP1nYnxuT5XRWGLo8hWF6/kFkEkvfT0dD6Y8xYfzP+IP/6/vzrdHOEAi/gLcoSZTGVRgpuVBKiV+WIiBkkgJgTQrWsXHv7H3/jTX+7B77fRYykSggxPJrZmykUhLlYSkNWVx0shk/WjRAIxIfYbc91oPB4Pz05/3ummiEYU0nXJK+JzuEiYaqncNKduuyTpGTtOSkX2IYAkniMmRH26dDqZac89z1U/G+V0U0QjqUGTIgldk0Ir5catFV/gp1C7SDlkkpKlIQOLGur2HvUDPupSYPjR1GhNhlIUK7dshSUiSgIxIQ6hLEvyDiWZ7eEQzWRFXdIoUC5ytGILISr3D0groDqsqdaaNKVIRZGiFCkospWFV0Eqir06zDodZF0oSFvLTUGyBWRWpCfrJ9F71wAJxIQ4xJdfruAf98qE/WTh15pvwiG6uzxON0U0ojRlUfa9mTnNDVa+pyuLAu2iQmnWhgN8TZAyy0MzZSVHQBbxG5YkeM8MSCAmxH6rVq+mpraWn40c4XRTRCP5KhigmbLIs2SGmDCjlKKpZZGnLLbrMKvDATaiONklSWPF8ZFATIj9Jj/xNM2bNyM9Pd3ppohG4lF2MtoJ8T9KKfKVi+bKYmM4yCdBH20sN60tN66E7B2LRh4x++9TVVUVDzzwAG+++SYVFRWUlZUxduxYBg8e3ODzZs6cybvvvsuqVavYtWsXBQUFnHHGGYwZM4a8vLzjfQURkbyBmA7XPRoSDJjXZ2Ps3M4MJGVar60krVEqG61FuGEbSVp91eZlPakH/3fRkiU8+9zz9O/dG4LfO543zbzO/FbmZbduNC6a1bvMvGyGeSJiVdzauCwFZq+ta5l5W7t8+aVx2Xef+9S47JpasxQk2dpilw5RpcNkGPyRyXCZn+M1NjKU1oTMytrZYcZOgtRopXQwfFkAuKL02lIMK660kTg6RR9eZz4uspRifSjIulCALpaXnP3nU0o9H1pA5qEet3HjxrFixQp++9vf0qpVK2bNmsW4ceN49NFHGTRo0FGf989//pO+ffvy61//mvz8fNauXcsjjzzC3LlzmT17NtnZ2Y34Kg6XvIGYEPv9+rY7ePCRSZS1LeWeP/7B6eaIRuRWiubKxa5w2FaQJcT3pSuLLi4v23WIleEAvS1v4vWMRXyvSXvmzZvHggULmDBhAkOGDAGgX79+bNq0iXvuuafBQGz27Nk0bfq/nUT69OlDWVkZo0aN4qWXXmLUKOdWysuVRyS9r1atxuv1MueV2ZzcsYPTzRGNLM+y2H2s3nEhDLVQLtJRfKsTcNBbWRF+2Avs3nnnHbKysg4bhlRKcfHFF7N+/XrWrl171OceGoQd0LVrVwC2bdtmqx2RJoGYSHqv/ud5SloXc/6lw51uinBAnrLYrUOEZbhIREhry83WRAzEHLZmzRrKysqwvjdlp0OHuhvo1atX26pv4cKFALRv3z4yDTxOMjQpkp5lWVw49DymPTfD6aYIB6Qri1xl8WUoQFe31+nmiASQjaIaTUhrEiZFw4EtjiJapyIQCLB58+YjfpWdnX3EvK3y8nJKSkqOKJuTk3Pw96bKy8u5++67KSkpYejQobaaHWkSiAlB3RfZJ3tMJq1uLi8fBGspD4fJjfQfG5F0atB4kSEnE+vXr693xeO4ceO44YYbjvh5Q/naTHO51dTUMHbsWPbu3cu0adPwep29AZNATAigebOmVOzbx8ZNm2hdXOx0c0QjcytFieVmsw6Si/SKiROzMhygULkTL8lrFBK6tm3blkmTJh3xm/pWMebm5tbb67V3717gfz1jDamtreX6669nxYoVPPnkk3Ts2NF+syNMAnYhgJ9fMYKTO5xE++69eGvOu043RzSy4P69BStlnpg4QX6tqUbTRiVgkuBIT9YHPB4PrVq1OuJRXyBWVlbGunXrCH8v1ciBuWEnnXRSg833+XyMGTOGZcuWMXnyZHr27BmhN+bESCAmBOD1evl84Udc9KPzueCyywl+P5eYSFh7w2HmBWup1mFOtmSrI3Fi3NTlipQrSOQNGTKEiooK5s6de9jPZ8+eTWlpKWUN5DD0+/2MGTOGxYsXM3HiRPr06RPt5hqTockG6ECtcdlodUBrl9lHpOx0GUcroWu0cszYWH2kbSRlVKEjE/Y+9+SjZLRsw73/uJ87fju+7ocGe9AdrDMv37isLi41rzfVRlLZFBtlm7UwL5ueaVaueYFxlaqsk3HZc1qZJ8vNffA147JP7dlLkXJTtn+/yWCEOsXSovB98NnIZGrn8F4bV7BoJX9NsXGtseyUNSxn53M/1ueQoy0WB/2crDzkuo9sgd+Kx55XFflrvM2h20GDBtG3b1/uuOMOysvLadWqFbNnz2bJkiVMnDjxYLlRo0bxySefsGrVqoM/u/HGG5k/fz5jx44lPT2dZcuWHfxdXl4erVvbSG4dYRKICXEIy7L41fWjueuevzFq+GW0Li5yukkiynxo8mSPQBFBpbhZToDdhMlNoIEnWzf8UTm+YuLEidx///088MADB7c4mjBhAmeffXaDz33vvfcAeOSRR3jkkUcO+93FF1/MPffcE7V2H4sEYkJ8z1/v+j9ee3sOp/1gKBuXL02Uxefie7TWfBnwsyccor1bLoUicpRSNMWiHEkUHGmZmZnceeed3HnnnUctM3Xq1CN+dmjvWKxJnFBdiAj64PWX2L17DyNHX+90U0SULPL7WB0M0NudQpr0iIkIy8ZiX6Lt2OBwZv1EJVcfIeqRm5vLjH89wXMvzGbDN5ucbo6IsI3BAGuDAYampZMuQZiIggwUfnTU5tSJxCFXICGO4kc/PJf27doyaux4p5siIujrYIB5vlrOSU0jVYIwESVKKXKw2KwTZP3kgcz6kXxIjxgggZgQDXpm0gQ+XryUX46/1emmiAhZHQjQ35tKC8MVyUIcr1LlYXMi7TkZ8TxiEoiBBGJCNKhv717MnjKZaTNn0fG0cygvr3C6SeIEBLVmWzhIoY2UJEIcLy8Qom5hiBBHk7y3hAE/+H0Nl3GbJ3e08zWzdQ9gOHRi6/ixsJeeZeMPoZ2LWNh8GMB0xODCH13AhmW96Xfu+RR178eMpyfzox+cW3/hXBt5uYraGhfVOU3M6z3WeX0I1cRGe02/D3aG+zLNX5cekGFctue6DUf8bHdtgNc37aCPymNgWcuDP98wc6lxvftC5udirsv8fdgZMOs12WVj8nfYxvfGTnqogI2vYyyEH6a513w23q80w2uoUqpuz0mlcB8yDOeOy54gJUOJURIDf5GFiH2FLQv4+rNFXHjeuVw44ud0HXAWK/dvqyHiwxubdlCYnsLwtuYJZ4U4UW6UZNkXDZJATAhDlmXx3JOTWbnwAyzLonP/M7lk1NVON0sY2lkboEfTbFzR2gFCiHq4FARjom8wAmSyflRIICaETR3al/HZh+/y2vPTePWtdxh/+9ETC4rYURsKkV7PdjNCRJMbRcJM15c8YlEhVyUhjtN555zN5Af+xkOTn2DREvN5RsIZTVI8bNhX43QzRJJxkUA9YiIqJBAT4gRcdcVPOfv0Afxg2OUEgzITJJYNadWUtzbvpMIvn5OIHq01Ya0J6rpkrorIbSTvuEgPTcblooXIk0BMiBP0+oxnCYc1rbudyqp6VuuJ2FCalU6f5jn8e+1WaoIJM1gkYsiCcC0fax//1T6WaB+faT9VWuNJlHgj4kOTTr+g2CCBmBAnyOv18vWyTyhqWUDns87n6edfdLpJ4ij65+dSmpXO8+u2EQgn2D6AwnGdlRc3ik7KS18rld5WCgPdqeQpyVsnjk4CMSEiIDc3h0Xvvsn1V17OmNvuorq62ukmiXoopTi3VVM8lmLZzn1ON0ckmBxlcZLysFoHqE60Db9Rklk/SpI3oauvFmq9DZfxmCd0tcNW8tVorCqxk3DzGG/R4fXGwpcqCvN/LPM34aH77mH6S69xxa9uY9YzTzVYVuW3Nm+DnYt6lo27bxvb/KjsPPN6oyFk/tlabYqP+rvd1T62b97L6WVtsJpkUeBdblyvCpi3IctGQldXFL465SHzcyZgmPQU7CV/tZH/1lZC1RTzaqkxfG12XlewgbZmoijCxQrtp7P2klbPLg6BaHzgIm5Jj5gQEWRZFs9M/Ccvv/E2jz8zzenmiO/xB0NM/3wdg0oLKGmS5XRzRIJqoVzk4WI1AUKJsr2Roi5ajeQjJm7enSeBmBARNnTIYO665Tdc95tbue+fjzjdHHGId9ZtoSg7nVOLmjvdFJHginHhQbE8FEicvSYjPjQpQAIxIaLi/24ez123/Ibf/+U+mpZ14qlnpzvdpKS3bV81K3eU88P2rZxuikgCSina4aaGMOts7IErko8EYkJEyf/dPJ7y9SsZes5grh1/C4WdTuHFV15zullJSWvNW2s2M6ikJame5J0aKxqXSym6u7x8nSiBmGTWjwoJxISIovT0dKY++jA7Vi+nT68eDLv6WkpP6cu78z50umlJ5asde6kOBOlV2Mzppogkk4oiDIkxV0wSukaFBGJCNILc3BxmT32aTZ8vpl1pCedeejmdBl/Eos++cLppSWHptzs5vaQASzb8Fo1MKYUH8Ms2R+IoJBATohEVtixgzovPs/qT+eRkZdLvx1fQ+4Kfsru83OmmJbRMr4dK2dpIOMSLwu90I06YQikrwg+5MQIJxIRwRLvSEj6e/SxLXpvBjl27KepzDq++O8/pZiWsk5rl8NWOcqebIZKUVyn8iTA0KaJCZq02pLY2OvXaSM5p+tW1c1+hbSwbjtr9ip0zz85dk7ZR1nACrbbRkaLc5slfdWZTevQZwPpli7jqhvFc9Msb+dlPh/HYA3/D7T78DVKtbGTWtbN1Tz3JJo/KbZjg2EbiVaptZLevrTIv27LwsH+2zy/gtW/3siMzh+ZZGYf97tTe5qsov1iy1bhstY2EqqmGQ6bNPOafV6WN88BnXBKybSSqNU2mCuCzUdZO36ZprXaSz6bYuMzUhDSEYZ8Ok6nr3rvaeB2mlB6sqJAeMSEcZlkWUx55iP/863FmzH6FtMJS+pwzlH/PfJGw7IcYES7LomeblnyywTyQEiJSvCoBhiYVkZ+sL4EdIIGYEDHj4vPPo3LTWmY8/Rher4ef3/Ar0lu1Y/K/pjrdtIRwaklLvtyynVob2xQJEQl1c8TitBdMRJ0EYkLEmIvPP4/5r79E7davGX/9NYy5+TaGjryGYFACiBORlZpCu+ZN+GzTd043RSQZLxBIhDlisul3VEggJkSMsiyLv/7f7cx//SU+WvQpRT1PZ+WadU43K671Li1i0YYtibPljIgLnoRYNSmiRQIxIWJc/969+Hbph7Rt05pugy/g4adkqPJ4Fedl43G5WLd9j9NNEUnEqxSBRBiajPgcMadfUGyQQEyIOJCens7HrzzPnePHMv4Pf+G0C4ez4ZtNTjcr7iil6F1ayIK1m6RXTDQaLyRG+grZ4igqJBATIo783/ixLHx1Jjv3lFM28Fy6nP0j/vLPSVRW2kjtkOS6F+cD8O+FX/DRmk0sLq9kr0zgF1Hkkcn6ogESiAkRZ07t3oXVH77FvBemUtKqiHseeZycjr0o6XsW4+/6C5u/3eZ0E2Oay7K4on9XSps3ocrvZ5svwFMbdzBl0w62+wJON08koAPZ31aFAqwNB9hkJzlhzFB1PViRfMjYJCAJXRvmt5HmMFp72BkmX7Vzr2Ur+auN1xV3XynjxLbmF01b11fL/OunMvOO+NnpZ5/L6WefC8Cyz5fz9wkT+fes13joiWcYPOh0Zk15gszMzIbrNU3SCuBJMSqmayrN6wzamMKcnmVetqDhJK0u4LTC1nX/aNuSUDjM51t2MH3l14we0I28jLR6n9e7/VrjJnz078XGZU3PxCobeeVKUsw/2y02tn9Ks3FNSLGRpLXSTkZVGwKG9dq5hHtsFD6wWrKD5aFWa8IagvE6TClDiVEhPWJCJIAe3bow7bGJbF+3kg9efZEvvlxJs5O6ctuf/4LfL+u1jqW8xse6neW4LIUlf2xEFDRXLootN20sN8U2bsJE4pNATIgEM7BfX7auWMpvx17HhCeeJrN1GRdd8XO+2SST++uzZON3PPXxF+RnZXDTmb3ITU91uklCxKZID03KPQ8ggZgQCcmyLO6+43fs+2YNj/7jXj5fsZK2PfvTdeDZvDX3faebFzPC4TBvr/yaq/t35fSyVnjdNvbeFEKICJBATIgEd/UVl7Nh6X9ZNOcNmuTmMnT4SHoMGsK6DV873TTH+QJBlIKmR5kTJoQ4lBXhh3SJgQRiQiSNnt278sGrL7JiwTxCoRAn9RnIoKEXMuXfzyXt9kmpXg9aQ41fVksKcUwRXzUpQAIxIZJOh/bt+GL+XP7zr8epqqpm9K9+g7d5Ee269+aGm29jzbrk2EZJa82qzd9hKfCHzFcjCiFEJEkgJkSSuvj881g8bw6+7Vv44LWX6HPqKcyc/TIn9epPl36ns3HTFqebGDX7qmv51zsLeP+LVQzr2YGcNLPUHEIktYhP1pdeMUjmPGI11ZASwTjURn4fgiHzsqlRuFM3zp9F3X5ghmzlMrPzBbTTXjuisoTcxhCfNj8PbL23Nj4zwnVtGNivNwP79QZgwzffcN6wK2jbvRezn32aH/2gLlcZvmqz49vITaa95nOzVE4z47LUHH2ngepaH0+/8xY9OpzEGT06wybz3GDKax6w9eyx2bjs6uU7jMq1sDGEvKraPA9ihsv8nLGznKF5inlpO2nENvnM3wd/2Oxa47WRG8xtJ+dYPdc6dzzOjVJI4BQl0iMmhDhMaZs2fPXJfK4eeTk/Hnk1H/33E6ebFDFaa17+8BM6tilm0Cld7N0QCCFEFEggJoSo12MP/p0Lf3gug350CdNfmOV0cyJi/mcr2Fddwzm9uzndFCHij2xxFBUSiAkhjurFqU9xwzVXc8Xosdxwy+1ON+eErN64hUUr1jD8nIG4XJIvTAgRGyQQE0I06IG//IkZT03m0X89Q+uuvZj89DOE7cyJjAFbduzi5Q8/YdjgAWRnpDvdHCHikIrCQ4AEYkIIA5dedAEbli7i1B7dueF3d5Ddpj3zP/6v080yUr6vklnvf8zQ006lOL+5080RIn7JFkdRIYGYEMJIq6KWvDj1Kaq3bmDIoDMYdMElTPn3804366hCoRBvLvyUx196m5LCfE4uaeV0k4QQ4ggSiAkhbHG73cya9jS/GXstV90wnpLuvXl25gtON+swNT4fz7zxPrv27mPcsPP50YDeskJSiBMlk/WjQgIxIcRxue+Pd7J5+ad0bF/Gz8bcRHpRKSOuuZ7NW7Y63TQWLl9NTmY6I849g7QUSdYqhIhdyZvQtWofuI8x4djtjc6xtbMTnbWNhJ/KTjJVG2W1jbK27pk8Nj4zp89+O4lXQ+bJOXU4SisC60mA2zK/BW/MeBa/38/fJzzKpKen0LpLD/r16cOcV18iPb3hifHKZSP5q40eLW9ecyr21VKZkklWRkbDhcvNkqkCkGKegDb97FONy3Zrt9GonLKReHXvvxcbl11d4zcu67GR+LSJ2/xczHObfyFdNi4KK6rN9hGttLHNlWmSWACP58hMtX5bKZpjiPQqR4X0iAkhTpjX6+X2X9/Ipi+W8OlHH7J23XryS9uzZq0z+1b27daJ4oJ8npz5CtU1tY60QYiEo1wRfkhgBxKICSEirEf3bmxdt4riVkUMvfhSR9rgdrsZ3P9UytoU89/Pv3SkDUIIYcLpwRkhRAJyu93MnPoMXXr3JRwOY9kZho2gNkUFfLX+G0eOLURiUZHfnzda+wjHGXkXhBBR0blTRyzLYsnSpY4cPxQKMX/JMrbv2u3I8YVIKAqUZUX0Iasm60ggJoSImpzsbN54e06jH7eyqppnXnoDl2URCoUa/fhCCGFKAjEhRNSc1L6M1958q1GOta+ykqVffMl78z/m8ZkvUVLUkp9ffD4+f4D1m7Y0ShuESGiWK7IPmawPSCAmhIiiv/zxThYt+ZSrrh0T1f0pK6uqeHzac6z7um4+2MVDzuSsvr3wer0MO28wL779Pt9u3xm14wshxPGSQEwIETVnDxrEjGf+xXP/eYGiso58ueKrqBynqqoar8fLpRcM5ayB/SkpannwdyVFLRk66DSmv/Y2e/dVRuX4QiQFy4rsQ3rEAFk12TC/eRJNW8IOJ/OzsYLNTkttfaVioQ3GK3bsJLW10QI7HUS2Vh1GaU6UYXt1zeHBzk/OO4chK5Zy3vCRdOvbn5tvuJ6//t/tACi3eUJXld7kqL9rWpRJpS9ErUolLS0Nqvcd9vvOXbrw9fbdfL5+M2f07XV4e9MzjduAz8Y1oVUb46JWmlmiWL15s3GdvVvnGpet+dp8QcM+G4lPa2z0gnptJIrNtpHYNtdtVtZv47qcYSOjbEo91wR/XE5SV3W5vyJdZ7wmt40g6RETQkRddnY2H73xMg/f+//4xyOTKT2lL3M/nB+x+j0eD21LS/hq9Zqjlmlf0poNm2WumBAitkggJoRoNNdfdSUbP1tE61ZFDLnkp3TuN5Dq6uqI1N22pIRNDfQYtSkqZMu27VRF6HhCJB0ZmowKCcSEEI2qIL8F8155kfWffszOXbtpd0ofKioqTrhey7LQDYxypKR4Oa1XdyY88xxvf7CACpkvJoSIARKICSEc0aa4mHVLP0EpRdsefVi3YcMJ1bfhm28oKmzZYJkz+/Xm2hGXEtaaSc/O4PX3PjyhYwqRVCLeI+b0C4oNEogJIRyTmZnJ2k//S3FRISf16s/df7v/uOrZs6ectevW0/nkjscsm5udzQ8HDWBQ31NZvUG2PxLCiKJugVMkHxKJARKICSEclp6eztIP53LPXb/nrnv+Rpd+p7N9xw7j5weDQWbMmsWZpw+sWzFpaOHSz7n43LOPp8lCCBExEogJIWLCzTeOY92nn1BdU0OrTj14cuqzx3zOjh07efb5meQ1aULf3qfaOl5RfgvZh1IIO5SK/ENIHrEGRSuPmI5ChvFoZS23Ua+2UTZaXz9tnBuM/ZvOmhSMUmvtpOSJVs4xpy+ErsPziLVp25b1yz/jN7f/ntE3/YYZs17mjVn/wTrkNWmt+XbbNpZ9/gXLV6zkjAGn0btXT9Shr8V17Pxkp/bozhvvf8ip559h3FwdCBiXpabKvGxmllk5r9e4Srdh/iyANikpxmXX1dYal3XZOL8qo7QnaKZhzq+gx/z9stOD4atnBYk/LnNnKRu5F4UdEogJIWLOP/5yN1dcNoyBQ35Ih569ueO3v6HWV0soFKK21ofX66XzyR0ZO/qXZGRkHNcxSoqLKK+ooNbnJzXFPMARQohIkkBMCBGTevbozsrF/6VLv9P487338eHbb+B2u3G73DRpknt4D9hxUEqR36wZW3fsom2rhldbCiGIfI+Y0z3yMUICMSFEzGrTpjXLFy6gpEt3CvLzDxuijITS4iI2bPlWAjEhhGNkwFcIEdPatGmNUorlK1ZEvO7C/BZ8t7s84vUKkZAiPlHffo9YVVUVd999NwMHDqRbt25ccsklvPvuu0bP3bhxI2PGjKFXr16ccsopXHPNNaxdu9Z2GyJNAjEhRMxLT0tj4aLFEa+3RbM8dkggJoSZGFgxOW7cOF555RVuuukmJk+eTFlZGePGjWPevHkNPm/Xrl2MGDGCLVu2cO+993L//fezd+9eRo4cybZt246rLZEiQ5NCiJiXnZ3NqjWRv3PNycpiX1U14XA44sOeQojImjdvHgsWLGDChAkMGTIEgH79+rFp0ybuueceBg0adNTnPvnkk1RUVPDCCy+Qn58PQI8ePRg8eDCTJk3ij3/8Y6O8hvrIlUcIEfMsyyIchfQGLpeLrIx0dpWf+F6XQiS8iOcRs3f4d955h6ysLAYPHnxIkxQXX3wx69evb3CYcc6cOZx22mkHgzCAJk2acNZZZ/HOO+/YfisiSQIxIUTMs5QiFKVcee2KC1m9cXNU6hYioTi8xdGaNWsoKys7ove6Q4cOAKxevbre59XW1rJx40ZOOumkI37XoUMHdu3axa5du2y1JZKSd2jS54PaY2TU9NlI6FpP0r6jCtpICmn6xycUNK/TjmgknwW0y/zUUzbK2llebfqJ2bpUeG2UttPBYyf5q47WknDDBkfjlFGgQyEIGX53bAwzdmxbygdLPmNAzx7HLuw5dqLYg7zmSVLx+42KqSzDxK9AZsts47IpWyqNy+a6zU/GFBvfx4Cda6gNKYZzkXJtJMAN22jqruCR35tglF5rNOkotFlrTSAQYPPmI2+EsrOzyc4+/BwuLy+npKTkiLI5OTkHf1+fvXv3orU+WO5Qubm5B5/btGlTey8gQpI3EBNCxA2P20NVdXVU6m7TMp+t23eitT7h3GRCJKKSkhJ27NjBl19+SefOnSNSp9/vZ8GCBRQXFx821HjAuHHjuOGGG474eUPf0WN9f2P1+y2BmBAi5hUVtmTdhg1RqdvjceP1eKip9ZGelhqVYwgRz7p168ZZZ53FAw88wBNPPBGROqdPn05NTQ333nsv4XpGfr7fGwZ1vVf19Xrt3bsXoN4erwM/V0rV+9wDPzvQM+YEmSMmhIh5J5W1Y9OWrVGr3+txU2NnKoIQSeZXv/oV8+fPZ9GiRSdcV1VVFY8++ijXXHMNhYWFtGrV6ohHfYFYWVkZ69atOyJwOzA3rL45YACpqakUFxfXO4ds9erV5OXlOTYsCRKICSHiQI9uXdm5a3fU6u/UroR3Pl5S7525EAI6duzI+eefzwMPPHDC88WmTJmC2+1m5MiRtp43ZMgQKioqmDt37mE/nz17NqWlpZSVlR31ueeccw4LFixgx44dB39WXl7Oe++9dzAVhlMkEBNCxLx+fXpTVV0VtfrP6n0KwVCIGW+9j89w4rwQyeaGG25g2bJlfPDBB8ddR3l5OU8++SRjxowhNdXeVIBBgwbRt29f7rjjDv7zn/+wcOFCbr31VpYsWcItt9xysNyoUaMOrqQ84Be/+AVZWVmMHj2aOXPm8P7773Pttdfidru57rrrjvv1RIIEYkKImNeja1fCYc32Q+5mI8njcXP5eWeTkZbK5Jkvs2nb9qgcR4h4VlJSwqWXXsoDDzxw3L3HTzzxBE2aNOHSSy+1/VylFBMnTjzYM3fNNdewatUqJkyYwNlnn93gc5s1a8azzz5LQUEBt9xyC+PHjycrK4tp06ZRWFh4XK8lUmSyvhAi5rndbrxeLx9+/F9+cuGPonIMl8vFBWeexlcbNvL8m3O55JwzaNvK2Qu0ELFmzJgxDBkyhDfffJOhQ4faeu727duZOnUqf/7zn/HYSQVziMzMTO68807uvPPOo5aZOnVqvT8vKSlh0qRJx3XcaJIeMSFEXMjNyWbxp0ujfpyOpa0Zdu6ZvDjnA9Z8I4lehThUQUEBV1xxBQ899BDBoL38lZMmTaJ169acf/75UWpdfEreHjGfD2qPEYfamStiZ/sVO3cCpvVGKfGqrddlp6yNyZ52poXayhJjmGxS20gOaiv5rNtGa7WNeyY754KykynWWSeVlfHe/AXgMvj+2EkYnJp+xM9K2rblpxdl8Pzr79BzdwWnn9oDj8cN3jTjerXHa1wWy/BcaN7CuMrUdgXGZZttMF8IEdhp/o302Ri+8kXpEpbmMnxv7SRYtvHVLfC4qEWzV4fZqzV7w2F2qfheFDJ69Gief/55Zs2axbBhw4yes2nTJmbMmME///lPXK74ue40BukRE0LEhZ+PHMGyz79otOMVt8zn2uEXs6t8L4/NmMWuPXsb7dgifvm0Zns4xOpQgEVBH3ODtXwU8LEpHMICSlxuerlsBOkxKC8vj6uvvpoJEybgM0z78vDDD9OlS5djzuVKRhKICSHiws9GXI4/EOD9D+c32jGzMjMYdt5gOrUrZdac9xvtuCI+BLRmZzjE2lCAJUEf7wZqeD9Qy/pQkDCaVpaL09wpDPak0tudQnuXhxaWi1QbWz/Fqquuuora2lqmT59+zLKrV6/m5ZdfZvz48TGb3d5JyTs0KYSIK263m3alpTzy2BOcefrARjtuIBBk7cbNtCtu1WjHFLEnqA8ML9Y9ynUYn9bkKIscZVFgueigPGSgDgs27Ix4xpPMzEyuvfZaJk+ezKWXXkpmZuZRyz700EP079+ffv36NWIL40f8h+VCiKTRrUtnVq1e02jH01rz8twPyMvJ5qx+vRrtuMJZIa0pD4f4OhRgWdDPvEAt7wRqWBkKUK01zZSLU90pnOtJo78nlU5uL0WWm0xlJVWPz4gRI/B4PEyZMuWoZT7//HPmzJnD+PHjG7Fl8UV6xIQQcaNN62IWRmCLFVMLly1nV/lerrrkApRSthaOiNintaYWzT6t2RkKsW9/r1elDpOhLHKVRRNlUWq5yVIKK4mCLBOpqamMHTuW++67jxEjRtCkSZMjytx///0MGTKEbt26OdDC+CA9YkKIuHHh0PP4dtt37Ny5K+rH2vTtd8xfsoxhPxxct2JSJJTNoSCv+Wt431/L6mCASq3JUorOLg/netI4w5NKN7eXNi43OZYlQdhRXHLJJTRt2pTHH3/8iN99/PHHLFy4kJtuusmBlsUPCcSEEHHjzNMH0qJ5M267609RPY7P72fmm+9y4dln0CTnyM2HRXzTWrMmFOBUdwrnpaQz0JtKV7eXUpeHPMuFS4IuYx6PhxtvvJFp06bx3XffHfy51pr777+fiy66iPbt2zvYwtiXvLd5WsMxctxoG3mxojYvwDQPT7SObyc3WAywlXPM9D0zzfEEYNnIj2Nr5ZSNsnbOBTub95rWq6N0zuzPy9W5UydWrl5z8N/1Msk1dkA970EoGMLvD6B1+PDfe1PM621qnvOL2hqzcjbOGZWTY1w2N9f8dVVVmyfx3FcdMC7rC5ufN24b53hqPWV36zAaaONyHbwOuG3k9Qva+N7U21YbuQnjwdChQ3nssceYNGkSd911FwDvvvsuK1eu5P7773e2cXEgsc4GIUTCa9G8Obv37InqMdLTUrnyovN45b35rFi7IarHEo3v61CQEpc7qSbWR5NlWYwfP56ZM2eyceNGQqEQDz74IJdddhnFxcVONy/mSSAmhIgrLpcbfZwbDttRmN+cUReex8tzP6SmtjbqxxONI6g1m8MhSuzsgiGO6cwzz6Rr1648/PDDvPrqq2zatInrrrvO6WbFBTkThRBxRzfS+sWC5k1p1iSHHbvLaV1ovmWQiF2bwyGaKov0BEiqGkuUUvz617/myiuv5OOPP+bKK6+kRQsbw/NJLGkDsS2Vx77D1Tb2mlQuG5uf2tlny3Qugc/GvBw7Zd3mczxs1Ztio95aG/XW2JjXl2r4+aYazt8B8KTaKGtjvpGdu3c755edvSbtzJUzPXyajffWXTcnLBDwo4HNW7YetaiuNN87kfIdR/2Vz+/nm2+/o6rWx+bvdkC1+TZH2mfjte3ZZ1YuYLadDAAG17iDRUPmge128xZQaWPob5+N86vWxmaPvu8N/KwIhWnr9bLne9dWOzMbgzZuBNz1tLXCdP/LONOnTx8GDBjAZ599xi9+8QunmxM3lNZ2ZuvGv4qKCnr37u10M4QQQiSxnJwc3n77bXJzc51uSkRVV1cTCATIsbFYJNklXSAGdcFYRUWF080QQgiRpDIzMxMuCBPHJykDMSGEEEKIWCCzFYUQQgghHCKBmBBCCCGEQyQQE0IIIYRwiARiQgghhBAO+f8ONx6x7fkHpQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lat_16, lon_16, site_16 = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_BCflux_16 = dep_2016['BC flux (mg.m-2.yr-1)']\n",
    "\n",
    "#import format_plots as fp\n",
    "Reds_trans = fp.cmap_trans('Reds')# makes tranparent at lower end\n",
    "Reds_trans_r = fp.cmap_trans('Reds_r')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "((BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])/BCDST_6yravg['BC_flux_wetdepnorm']).plot(ax=ax, cmap=Reds_trans, vmin=0, vmax=1,add_colorbar=True)\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "plt.title('BC flux fire:total ratio for the Andes. [wet dep norm]', fontsize=20, y=1.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plot total BC from different sectors & Dust too\n",
    "#NOT IN PAPER\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=[15, 6], subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "\n",
    "fig.subplots_adjust(left=None, bottom=None, right=None, top=None,hspace = .15, wspace=.8)\n",
    "\n",
    "\n",
    "#plots for BC dep per month\n",
    "titles= ['Wet deposition [normalized]','Dry deposition']\n",
    "lat= Dep_therm_14_15['lat'].values\n",
    "lon= Dep_therm_14_15['lon'].values\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "#first row of plots\n",
    "bounds =  np.linspace(0, 20, 26-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "bounds1 =  np.linspace(0, 20, 26-1)\n",
    "norm1 = matplotlib.colors.BoundaryNorm(boundaries=bounds1,ncolors=256)\n",
    "\n",
    "\n",
    "pcm= axes[0].pcolormesh(lon,lat,avg_prec_rat_huas_que*BCDST_6yravg['WetLossTotal_BC'] ,cmap=BuPu_trans, norm=norm )\n",
    "pcm1= axes[1].pcolormesh(lon,lat, BCDST_6yravg['DryDep_BC'] ,cmap=BuPu_trans, norm=norm1 )\n",
    "\n",
    "\n",
    "for i in range(0,2):\n",
    "    axes[i].set_title(titles[i])\n",
    "    axes[i].set_extent([-84, -60, -22, 3])\n",
    "    axes[i].coastlines()\n",
    "    axes[i].add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "    axes[i].scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8, label = 'Obs.')\n",
    "    #get the symbols and the labels for legend\n",
    "    handles, labels = axes[i].get_legend_handles_labels()\n",
    "    axes[i].legend(handles, labels,\n",
    "              loc='lower left', ncol=1, edgecolor='black',\n",
    "              borderpad=0.25)\n",
    "\n",
    "       \n",
    "cbar=fig.colorbar(pcm, ax=axes[0], shrink=0.9,label='BC flux (mg/m² yr) ', fraction=0.045, pad=0.04 )\n",
    "cbar=fig.colorbar(pcm1, ax=axes[1], shrink=0.9,label='BC flux (mg/m² yr)',fraction=0.045, pad=0.04 )\n",
    "fig.suptitle('Annual mean BC fluxes for 2014-2019.', y=1.005, fontsize=22);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2afb79c19370>"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##getting precipiatation yearly avgs scaled\n",
    "prectot_1419_avg= xr.Dataset()\n",
    "\n",
    "prectot_1419_avg['Met_PRECTOT']= prectot_2014_19y['Met_PRECTOT'].mean(dim='time')\n",
    "prectot_1419_avg['Met_PRECTOT'].attrs['units']='mm yr-1'\n",
    "prectot_1419_norm= xr.Dataset()\n",
    "prectot_1419_norm['Met_PRECTOT']=prectot_1419_avg['Met_PRECTOT']*avg_rat_andes/1000 #### normalized & turned to meters\n",
    "prectot_1419_norm['Met_PRECTOT'].attrs['units']='m yr-1'\n",
    "prectot_1419_norm['Met_PRECTOT'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2afb79cc3640>"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### getting BC fluxes to units for SNICAR (ng/gr of water)\n",
    "## BCDST_6yravg['BC_flux_wetdepnorm'] units of (mg m-2 yr-1)\n",
    "## prectot_1419_norm['Met_PRECTOT'] units of (m yr-1)\n",
    "## (mg m-2 yr-1) / (m yr-1) = (mg/m3) / (997 kg /m3density of water) = (mg/kg of water) *(10**6 (ng/mg))* (1/1000 (kg/gr))\n",
    "BC_ppb_Andes=xr.Dataset()\n",
    "BC_ppb_Andes['BC_ppb_huas'] = (BCDST_6yravg['BC_flux_wetdepnorm']/avg_huas_snow)*(1/997)*(10**6)*(1/1000)\n",
    "BC_ppb_Andes['BC_ppb_huas_fires'] = ((BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])/avg_huas_snow)*(1/997)*(10**6)*(1/1000)\n",
    "\n",
    "BC_ppb_Andes['BC_ppb_que'] = (BCDST_6yravg['BC_flux_wetdepnorm']/avg_que_snow)*(1/997)*(10**6)*(1/1000)\n",
    "BC_ppb_Andes['BC_ppb_que_fires'] = ((BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])/avg_que_snow)*(1/997)*(10**6)*(1/1000)\n",
    "\n",
    "BC_ppb_Andes['BC_ppb_arte'] = (BCDST_6yravg['BC_flux_wetdepnorm']/avg_arte_snow)*(1/997)*(10**6)*(1/1000)\n",
    "BC_ppb_Andes['BC_ppb_arte_fires'] = ((BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])/avg_arte_snow)*(1/997)*(10**6)*(1/1000)\n",
    "\n",
    "#BC_ppb_Andes['BC_ppb_arun'] = (BCDST_6yravg['BC_flux_wetdepnorm']/avg_arun_snow)*(1/997)*(10**6)*(1/1000)\n",
    "#BC_ppb_Andes['BC_ppb_arun_fires'] = ((BCDST_6yravg['BC_flux_wetdepnorm']-BCDST_6yravg_noGFED['BC_flux_wetdepnorm'])/avg_arun_snow)*(1/997)*(10**6)*(1/1000)\n",
    "\n",
    "### this is with wet depoisition not normalized\n",
    "BC_ppb_Andes['BC_ppb_Andes_total'] = (BCDST_6yravg['BC_flux']/avg_huas_snow)*(1/997)*(10**6)*(1/1000)\n",
    "BC_ppb_Andes['BC_ppb_Andes_total_fires'] = ((BCDST_6yravg['BC_flux']-BCDST_6yravg_noGFED['BC_flux'])/avg_huas_snow)*(1/997)*(10**6)*(1/1000)\n",
    "\n",
    "BC_ppb_Andes['BC_ppb_huas'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n",
      "/n/home10/ebonilla/.conda/envs/pie_research/lib/python3.8/site-packages/xarray/core/indexes.py:234: FutureWarning: Passing method to Float64Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead.\n",
      "  indexer = self.index.get_loc(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location</th>\n",
       "      <th>BC - Fire [ppb]- huas. accu.</th>\n",
       "      <th>BC - Total [ppb]- huas. accu.</th>\n",
       "      <th>BC - Fire [ppb]- que. accu.</th>\n",
       "      <th>BC - Total [ppb]- que. accu.</th>\n",
       "      <th>BC - Fire [ppb]- arte. accu.</th>\n",
       "      <th>BC - Total [ppb]- arte. accu.</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>0.733612</td>\n",
       "      <td>3.139839</td>\n",
       "      <td>2.193971</td>\n",
       "      <td>9.390136</td>\n",
       "      <td>1.105141</td>\n",
       "      <td>4.729975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>2.073686</td>\n",
       "      <td>4.906018</td>\n",
       "      <td>6.201655</td>\n",
       "      <td>14.672145</td>\n",
       "      <td>3.123881</td>\n",
       "      <td>7.390616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yanapaccha</td>\n",
       "      <td>0.733612</td>\n",
       "      <td>3.139839</td>\n",
       "      <td>2.193971</td>\n",
       "      <td>9.390136</td>\n",
       "      <td>1.105141</td>\n",
       "      <td>4.729975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shallap</td>\n",
       "      <td>0.405672</td>\n",
       "      <td>2.665109</td>\n",
       "      <td>1.213220</td>\n",
       "      <td>7.970387</td>\n",
       "      <td>0.611120</td>\n",
       "      <td>4.014823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Illimani</td>\n",
       "      <td>4.534293</td>\n",
       "      <td>6.768049</td>\n",
       "      <td>13.560449</td>\n",
       "      <td>20.240817</td>\n",
       "      <td>6.830634</td>\n",
       "      <td>10.195652</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Location  BC - Fire [ppb]- huas. accu.  BC - Total [ppb]- huas. accu.  \\\n",
       "0   Huascaran                      0.733612                       3.139839   \n",
       "1   Quelccaya                      2.073686                       4.906018   \n",
       "2  Yanapaccha                      0.733612                       3.139839   \n",
       "3     Shallap                      0.405672                       2.665109   \n",
       "4    Illimani                      4.534293                       6.768049   \n",
       "\n",
       "   BC - Fire [ppb]- que. accu.  BC - Total [ppb]- que. accu.  \\\n",
       "0                     2.193971                      9.390136   \n",
       "1                     6.201655                     14.672145   \n",
       "2                     2.193971                      9.390136   \n",
       "3                     1.213220                      7.970387   \n",
       "4                    13.560449                     20.240817   \n",
       "\n",
       "   BC - Fire [ppb]- arte. accu.  BC - Total [ppb]- arte. accu.  \n",
       "0                      1.105141                       4.729975  \n",
       "1                      3.123881                       7.390616  \n",
       "2                      1.105141                       4.729975  \n",
       "3                      0.611120                       4.014823  \n",
       "4                      6.830634                      10.195652  "
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### create table with BC in snow concentrations for different estimates of snowfall\n",
    "## snowfall yearly averages used include: Huascaran ice core, Quelccaya snowpit, Arentinu & Artesonraju weather stations\n",
    "\n",
    "SNICAR_table = pd.DataFrame()\n",
    "SNICAR_table['Location'] = ['Huascaran', \"Quelccaya\", 'Yanapaccha', 'Shallap', 'Illimani']\n",
    "SNICAR_table[\"BC - Fire [ppb]- huas. accu.\"] =[float(BC_ppb_Andes['BC_ppb_huas_fires'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    "                                  float(BC_ppb_Andes['BC_ppb_huas_fires'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "                                  float(BC_ppb_Andes['BC_ppb_huas_fires'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_huas_fires'].sel(lat=-9.488, lon=-77.3, method='nearest').values),\n",
    "                                         float(BC_ppb_Andes['BC_ppb_huas_fires'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "SNICAR_table[\"BC - Total [ppb]- huas. accu.\"] =[float(BC_ppb_Andes['BC_ppb_huas'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_huas'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_huas'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_huas'].sel(lat=-9.488, lon=-77.3, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_huas'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "SNICAR_table[\"BC - Fire [ppb]- que. accu.\"] =[float(BC_ppb_Andes['BC_ppb_que_fires'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    "                                  float(BC_ppb_Andes['BC_ppb_que_fires'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "                                  float(BC_ppb_Andes['BC_ppb_que_fires'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_que_fires'].sel(lat=-9.488, lon=-77.3, method='nearest').values),\n",
    "                                         float(BC_ppb_Andes['BC_ppb_que_fires'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "SNICAR_table[\"BC - Total [ppb]- que. accu.\"] =[float(BC_ppb_Andes['BC_ppb_que'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_que'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_que'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_que'].sel(lat=-9.488, lon=-77.3, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_que'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "SNICAR_table[\"BC - Fire [ppb]- arte. accu.\"] =[float(BC_ppb_Andes['BC_ppb_arte_fires'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    "                                  float(BC_ppb_Andes['BC_ppb_arte_fires'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "                                  float(BC_ppb_Andes['BC_ppb_arte_fires'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_arte_fires'].sel(lat=-9.488, lon=-77.3, method='nearest').values),\n",
    "                                         float(BC_ppb_Andes['BC_ppb_arte_fires'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "SNICAR_table[\"BC - Total [ppb]- arte. accu.\"] =[float(BC_ppb_Andes['BC_ppb_arte'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_arte'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_arte'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_arte'].sel(lat=-9.488, lon=-77.3, method='nearest').values),\n",
    "                                   float(BC_ppb_Andes['BC_ppb_arte'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "#SNICAR_table[\"BC - Fire [ppb]- arun. accu.\"] =[float(BC_ppb_Andes['BC_ppb_arun_fires'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    " #                                 float(BC_ppb_Andes['BC_ppb_arun_fires'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "  #                                float(BC_ppb_Andes['BC_ppb_arun_fires'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "   #                                float(BC_ppb_Andes['BC_ppb_arun_fires'].sel(lat=-9.488, lon=-67.78, method='nearest').values),\n",
    "    #                                     float(BC_ppb_Andes['BC_ppb_arun_fires'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "#SNICAR_table[\"BC - Total [ppb]- arun. accu.\"] =[float(BC_ppb_Andes['BC_ppb_arun'].sel(lat=-9.1, lon=-77.6, method='nearest').values),\n",
    " #                                  float(BC_ppb_Andes['BC_ppb_arun'].sel(lat=-13.9, lon=-70.9, method='nearest').values),\n",
    "  #                                 float(BC_ppb_Andes['BC_ppb_arun'].sel(lat=-9.028, lon=-77.582, method='nearest').values),\n",
    "   #                                float(BC_ppb_Andes['BC_ppb_arun'].sel(lat=-9.488, lon=-67.78, method='nearest').values),\n",
    "    #                               float(BC_ppb_Andes['BC_ppb_arun'].sel(lat=-16.6, lon=-67.78, method='nearest').values)]\n",
    "\n",
    "SNICAR_table\n",
    "\n",
    "###columns (glacier, lat, lon, BC flux, BC ppb, SNICAR RF, BC flux fires, BC from fires (ppb),SNICAR RF  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC ppb for Huascarán & Quelccaya the assuming huas snow 2014-2019.')"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lat_16, lon_16, site_16 = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_BCflux_14_19 = [dep_2014_9['Average BC concentration (ng.g-1)'][0:5].mean(), dep_2014_9['Average BC concentration (ng.g-1)'][5:7].mean()]\n",
    "\n",
    "#import format_plots as fp\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "bounds =  np.linspace(0, 15, 16-1)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "(BC_ppb_Andes['BC_ppb_huas']).plot(ax=ax, cmap='BuPu', vmin=0, vmax=15,add_colorbar=True)\n",
    "\n",
    "\n",
    "plt.scatter(lon_16, lat_16,c=dep_BCflux_14_19, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "            norm=norm,s=200,\n",
    "            cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "\n",
    "\n",
    "plt.title('BC ppb for Huascara\\u0301n & Quelccaya the assuming huas snow 2014-2019.', fontsize=20, y=1.05)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### masking based on altitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(151, 89)"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "met_dt['geo_height'][0,:,:].shape\n",
    "#np.shape(height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2afb79e3b4c0>"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#subsetting due to altitude greater than 2 km\n",
    "height = np.squeeze(met_dt['geo_height'].values.copy())\n",
    "height[height<2000] = np.nan\n",
    "plt.imshow(height)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [],
   "source": [
    "met_dt['geo_height'][0,:,:] = height"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'GEOS-Chem vs. observation altitude (m)')"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "####MASKINNNNNGGG\n",
    "\n",
    "viridis_trans = fp.cmap_trans('viridis')# makes tranparent at lower end\n",
    "viridis_trans_r = fp.cmap_trans('viridis_r')\n",
    "\n",
    "dep_data_lat, dep_data_lon, dep_data_site =dep_data.lat, dep_data.lon, dep_data['loc']\n",
    "dep_data_alt = dep_data['Altitude (m a.s.l.)']\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "\n",
    "ax.set_extent([-85, -60, -20, 5])\n",
    "\n",
    "met_dt['geo_height'].plot(ax=ax, vmin=0, vmax=6500,cmap=viridis_trans_r,add_colorbar=False)\n",
    "\n",
    "bounds =  np.linspace(0, 6500, 29)\n",
    "norm = matplotlib.colors.BoundaryNorm(boundaries=bounds,ncolors=256)\n",
    "\n",
    "plt.scatter(dep_data_lon, dep_data_lat,c=dep_data_alt, transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "           norm=norm, s=200,\n",
    "           cmap=viridis_trans_r, edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "cbar = plt.colorbar(label='Altitude (m)',fraction=0.038, pad=0.04 )\n",
    "cbar.set_ticks([0,2000,4000,6500])\n",
    "cbar.set_ticklabels([0,200,4000,6500])\n",
    "\n",
    "plt.title('GEOS-Chem vs. observation altitude (m)', fontsize=20, y=1.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "height = np.squeeze(met_dt['geo_height'].values.copy())\n",
    "##subsetting BC in snow (ppb) above 2 km\n",
    "##subsetting for BC estimates w/ Huascaran snow accumulation\n",
    "test =BC_ppb_Andes['BC_ppb_huas'].values \n",
    "test[np.isnan(height)] = np.nan\n",
    "BC_ppb_Andes['BC_ppb_huas'][:,:] = test\n",
    "##subsetting for BC estimates w/ Quelccaya snow accumulation\n",
    "test_que =BC_ppb_Andes['BC_ppb_que'].values \n",
    "test_que[np.isnan(height)] = np.nan\n",
    "BC_ppb_Andes['BC_ppb_que'][:,:] = test_que\n",
    "##subsetting for BC estimates w/ Artesonraju snow accumulation\n",
    "test_arte =BC_ppb_Andes['BC_ppb_arte'].values \n",
    "test_arte[np.isnan(height)] = np.nan\n",
    "BC_ppb_Andes['BC_ppb_arte'][:,:] = test_arte\n",
    "##subsetting for BC estimates w/ Aruntani snow accumulation\n",
    "#test_arun =BC_ppb_Andes['BC_ppb_arun'].values \n",
    "#test_arun[np.isnan(height)] = np.nan\n",
    "#BC_ppb_Andes['BC_ppb_arun'][:,:] = test_arun\n",
    "\n",
    "##subsetting for smoke:total BC contributions\n",
    "BCDST_flux2014_19y_avg['smokeratio']=((BCDST_flux2014_19y_avg['BC_flux']-BCDST_flux2014_19y_avg_noGFED['BC_flux'])/BCDST_flux2014_19y_avg['BC_flux'])\n",
    "test_smokeratio=BCDST_flux2014_19y_avg['smokeratio'].values\n",
    "test_smokeratio[np.isnan(height)] = np.nan\n",
    "BCDST_flux2014_19y_avg['smokeratio'][:,:]=test_smokeratio\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;BC_ppb_huas&#x27; (lat: 151, lon: 89)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'BC_ppb_huas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-662ffcc2-dc3d-40c1-8ce5-637698497054' class='xr-array-in' type='checkbox' checked><label for='section-662ffcc2-dc3d-40c1-8ce5-637698497054' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-760beda1-662f-44da-bcbb-377b5130f528' class='xr-section-summary-in' type='checkbox'  checked><label for='section-760beda1-662f-44da-bcbb-377b5130f528' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-969ef2aa-4a72-4496-bad1-2588745dd4a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-969ef2aa-4a72-4496-bad1-2588745dd4a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6f38f48-2c99-4b4c-bdc6-f3520a077a4d' class='xr-var-data-in' type='checkbox'><label for='data-c6f38f48-2c99-4b4c-bdc6-f3520a077a4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-97650523-6709-49b6-aabe-e83ba537abf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97650523-6709-49b6-aabe-e83ba537abf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e6d019-c7f1-44ed-a6f0-7c944cd160e2' class='xr-var-data-in' type='checkbox'><label for='data-95e6d019-c7f1-44ed-a6f0-7c944cd160e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4b0627b7-36be-47d9-8481-96aca13f27fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b0627b7-36be-47d9-8481-96aca13f27fc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'BC_ppb_huas' (lat: 151, lon: 89)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BC_ppb_Andes['BC_ppb_huas']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "height"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(test_arte)\n",
    "cbar = plt.colorbar(fraction=0.038, pad=0.04 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'BC for Huascarán & Quelccaya, 2014-2019.')"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lat_16, lon_16, site_16 = dep_2016.lat, dep_2016.lon, dep_2016['loc']\n",
    "dep_BCflux_14_19 = [dep_2014_9['Average BC concentration (ng.g-1)'][0:5].mean(), dep_2014_9['Average BC concentration (ng.g-1)'][5:7].mean()]\n",
    "\n",
    "#import format_plots as fp\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig = plt.figure(figsize=[16, 8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -20, 5])\n",
    "\n",
    "im =(BC_ppb_Andes['BC_ppb_huas']).plot(ax=ax, cmap='BuPu', vmin=0, vmax=15,add_colorbar=False, label = 'BC (ppb)')\n",
    "\n",
    "plt.scatter(lon_16, lat_16,c=dep_BCflux_14_19,transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "            vmin=0, vmax=15,s=200,\n",
    "            cmap='BuPu', edgecolor= 'dimgrey')#, alpha=0.75)\n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "#labeling location\n",
    "plt.text(-71.5, -14, 'Quelccaya',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "plt.text(-78.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='right',va='top',color='k')#, position=(-69, -10))\n",
    "\n",
    "fig.colorbar(im, ax=ax, label = 'BC (ppb)' )\n",
    "\n",
    "\n",
    "\n",
    "plt.title('BC for Huascara\\u0301n & Quelccaya, 2014-2019.', y=1.05, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/0q9//WuXc88884yWL19uQSoAPaFjT8Df31+JiYmKi4uTzWZTUFCQbrvtNtXU1Dh7AhUVFabnaGxs1MGDB1VSUqLY2FhTT+Ab3/iGYmJiVFZWpoMHDyo7O9v02KNHjzp7AkOGDHHPmwbQb3Q2iA8AAAAAgPNh4BXQC1VWVurf/u3f9Ne//tXlXGpqqj744AOFhIRYkAxAT9i4caN27tzpUn/33XcVFxen5ORkjRkzRqGhoUpKSlJcXJyKior0xRdfKDs7W6dOnVJ5eblqa2vl5+en0NBQBQcHy+FwKDk5WYsXL5bNZlNkZKSGDx+ulJQUvfrqqyopKTG93tatW507trM7C4ALQZMKAAAAAICe9/777+tb3/qWyyYZkvTnP/9Z99xzjwWpAPSE2tpaPfvss2ptbTXVP//8cwUEBCgpKUljxoxRfHy8QkJCNGPGDI0dO1bZ2dnKyMjQoUOHVFdXp9LSUtntdvn5+WnkyJGSJE9PTy1btkwjRoyQJEVHRyslJUXDhw/X+++/r/b2dufrVVVV6bnnntOCBQs0ceJEd719AH3QmcVzZ9A3AAAAAADg0nz44Yd6+OGHlZeX53LuySef1AMPPGBBKgA9oa6uTs8995xaWlpM9S1btsjf31/JyclKTk7WyJEjFRwcrBkzZiglJUX79u0z9QRKSkpcegIeHh668847ncfR0dEaO3asRowYoQ0bNph6AtXV1Vq5cqXmz5+vtLQ09/0LANDndOwJAAAAAABwMRh4BfQiDodDq1ev1ve+9z2dOnXK5fyYMWP04YcfKiIiwoJ0AHqCw+Fw2SHl6+eOHTumY8eO6YMPPlB4eLgaGxvV2NjovMbX11fh4eFqaWlRY2Oj2traFBkZqfT0dNXW1urWW2+VzWYzPW9ISIjuvfderV+/XpmZmaZzZ3ZnWbRokRISErr/DQPoF1i4AgAAAACA+5w4cULf//73tXr16k7P//GPf9RDDz3k5lQAetKhQ4dchl2dUV9fr4yMDGVkZMjHx0cBAQGqqqqS3W53XhMVFSVJCgoKUnV1tby9vTVkyBDFxMRo0qRJzmFXZxiGoSlTpigmJkavvfaaamtrnefa2tq0Zs0aFRUVac6cOfLz8+v+Nwyg36FvAAAAAADAxTl16pS+//3v65VXXun0/O9//3t9+9vfdnMqAD3p8OHDLsOuzmhoaHD2BLy9vRUUFKTKysrz9gQGDx6sIUOGKC0tzTns6usmTZqkQYMG6bXXXlNNTY2z3tbWprVr1zp7Av7+/t38bgH0R/QEAAAArGPYDBnqnwNJ++v7AvBPDLwCegmHw6EHH3xQf/3rXzs9P3nyZK1bt07R0dFuTgagJzU0NKihoaFL11ZUVLjUDMNQUFCQgoKClJCQoPLycoWFhcnPz08LFiw4684Jnp6eWrRokYYOHar33nvPZXeWF198UQkJCZozZ44GDx58cW8OQL/l7e1tOs7Ly9Po0aMtSgMAAAAAQP+1b98+zZo1S2VlZS7nvLy89Pvf/17f+c53LEgGoCd19me+M83NzWpubnape3p6avDgwRo8eLAaGhrU2NgowzA0Z86cc/Yahw0bpm9+85t6/fXXVVhYaDq3e/du7d+/X1dccYUuv/xyeXl5XdibAtCvdewbnDp1SjU1NQoODrYoEQAAAAAAfU9OTo6uueaaTjfO9vT01G9+8xs98sgjFiQD0JO62hNoaWnR6dOnXeoeHh6KiYlRTEyMGhsbVV9fL5vNptmzZ2vQoEFnfb7Y2FhnT+DYsWOmcxkZGc6ewNSpU+kJADDp2BMoLy9XVVWVQkNDrQkEAAAAAOiTGHgF9BJPPPFEp8OuAgIC9Itf/ELf/va35enJH1mgv/n6oKlLZbPZlJKSooULF2r48OHnvd4wDE2ePFkxMTF69dVXTTu2S18NsMnLy1NkZKRzYUxgYKD8/PxkGIbq6+sVEhKiuLg42Wy2bnsfAHq/xMREU4M9IyNDV199NTs5AQAAAADQjSoqKnTjjTd2+iX3K664Qs8884xSUlIsSAagp3Vn7yAgIECzZs3SrFmzXL583pmgoCCtWLFCH3zwgb744gvTuaamJm3atEmff/65c3f4iIgI+fn5ydfXV01NTWpvb1dcXJxCQkK67T0A6P2GDx8uT09PtbW1SZLsdrt27NihuXPnWpwMAAAAAIC+obq6WjfeeGOnw66mT5+uZ555RuPGjbMgGYCe1p09AX9/f1199dWaPXu2fHx8znt9YGCg7rrrLn344YfasWOH6Vxzc7M++ugjbdmyxbmWIDIy0tkTaG5uVltbm4YNG8aQG2CAiYuLk5eXl1pbWyV91RPYvn27rr/+eouTAQAAAAD6EqbnAL3AJ598on/91391qS9atEhPPvmk4uLiLEgFwB2CgoI0YsQIFRQUnPUawzDkcDhMNZvNptDQUAUGBsrX11d+fn6Ki4vThAkTLng4XmxsrB588MFOd2eRvtptoby8XNnZ2Z0+fuLEibrpppsu6DUB9G1Tp07Vzp07ZbfbJUmtra16//339Y1vfEOGYVicDgAAAACAvq+9vV133nmn8vPzTfWwsDD97ne/0z333MMQeqAfS0lJUUZGhvP+W1f5+fkpNDRUfn5+8vPzU3BwsFJTUzV48OALeh4PDw/dcMMNGjp0qN555x3nAJszmpubVVBQcNbehre3t+65554Lfl0AfZe/v7/S0tK0a9cuZ23Xrl0aO3ashg4damEyAAAAAAB6P7vdrmXLlik3N9dUDw0N1W9+8xvdf//99ASAfiwlJUW7d+8+5+CrztYT+Pr6KjQ0VP7+/vL19VVISIjGjx+vIUOGXNDre3h46LrrrtPQoUO1bt065wCbM7rSE1ixYgX3AYEBxM/PT5MmTTINysvIyND48eMVGxtrYTIAAAAAQF/CwCvAYoWFhVq8eLHLzelVq1Zp+fLlFqUC4C6GYWjp0qX6+OOP9cUXX7g0oqSvviCenp6u8PBwBQYGKiIiQiEhIfLw8Oi2HIGBgVqxYoWysrL0ySefqLa2tsuPzcrKUlpamoYPH95teQD0bmea4nv27HHW9u7dKw8PDy1atIihVwAAAAAAXKKf/exnev/99021KVOm6N1331V0dLRFqQC4y8iRI7V8+XJt2LBBZWVlnV6TkJCglJQUeXl5KTw8XOHh4fL39+/WHBMmTNCwYcP08ccfa9++fV1+XEtLi95//33dc8893ZoHQO82ffp0ffnll85+Z2trq1588UUtX76cxW4AAAAAAJzDY489pnfffddUS09P1/r16xUTE2NRKgDuMmLECN11111av369Tp061ek18fHxGjt2rKkn4Ofn163f1z0zqOaTTz7R3r17u/y4Mz2Be++9l+8PAwPI1KlT9cUXX5g20D7TE2DoFQAAAACgK9jmAbBQY2Ojbr75ZpWXl5vqP/vZzxh2BQwgPj4+uv766/XQQw91OjSqvr5en3/+uU6dOqXExESFh4d367CrM2w2m9LT0/Wd73xHc+bMkZ+fX5cfu3nz5m7PA6B3u/LKK+XpaZ6fm5mZqXXr1nU6vA8AAAAAAHTN22+/rccff9xUi46O1ltvvcWwK2AAiY+P10MPPaS5c+fK29vb5XxeXp42b96sqKgoxcbGdvuwqzPCw8N166236pvf/KYSEhK6/Lhjx47p2LFjPZIJQO8UFhamtLQ0U62pqUkvvviiiouLLUoFAAAAAEDv9s477+jnP/+5qRYZGam3336bYVfAADJ8+HA9+OCDuu666+Tj4+NyPj8/X5s3b1ZkZKSzJ9ATw6XCwsJ0880368EHH1RiYmKXH1dUVKSCgoJuzwOg9woNDdWkSZNMtebmZr344os6fvy4RakAAAAGIJvRv38D6Nc8z38JgJ7gcDj08MMPa/fu3ab6ggUL9NOf/tSiVACsNGjQIN19993Kzs7We++9p8bGRtP57du3KzIy0uWmcHfz8vLSFVdcoalTp+rkyZMqKSlRaWmpKioq1NjYqIaGBtXW1poek5eXp5KSEg0ZMqRHswHoPSIjI7V48WK9+uqram9vd9YzMzMlSYsWLWKnJgAAAAAALlBOTo7uuusuU83T01Ovv/46u6ACA5CHh4emT5+u8ePHa8OGDcrJyTGdr66u1quvvqp/+Zd/kZeXV49mGTJkiJYvX67a2lqVlJSopKREJ06cUH19vRoaGlRfX6/m5mbTY7Zs2dLpRh8A+q8bbrhBNTU1OnLkiLN2ZujV8uXLNXToUAvTAQAAAADQuxw+fFjLli0z1Tw8PPTaa68pLi7OolQArOLh4aGpU6dq3Lhxeu+997R//37T+a/3BDrbKKM7DR48WMuWLXP2BEpLS3XixAnV1dWpoaFBDQ0NampqMj1my5Ytio+P79FcAHqXefPmqaqqSrm5uc7amaFXy5cv5zsOAAAAAIBzYuAVYJGnnnpKL7zwgqk2atQovfTSS7LZbBal6p3++z83WR1BkhQ3p+u7VgMXyzAMpaamasSIEVq7dq3y8vJM53ft2tXjA6/O8PT01NChQzv94nlra6ueeOIJ1dfXO2tbt27Vbbfd5pZsAHqH0aNHa8mSJQy9AgAAAACgG1RXV+umm25SXV2dqf6HP/xBV111lUWpeq/HhjxmdQRJkv9P51gdAQNAUFCQFi9erL1792rDhg2mwVJnvkSekpLitixJSUlKSkpyObdz50699957zuPc3FydPHlSgwYNcks2ANbz9PTU7bffrtWrVzP0CgAAAACAc6itrdVNN92kmpoaU/23v/2tZs6caVGq3muRscDqCJIkL6NnNx4AJCkwMFC33nqrkpOTtX79etNgqerqah06dEjjx493S5Zz9QR27dql9evXO4/z8vJUWlqqwYMHuyUbAOt5eno61xIw9AoAAAAAcKGYqgNYYMuWLfre975nqgUGBmrNmjUKCQmxJhSAXiU4OFjLli3T3LlzTfUTJ06orKzMolT/5OXlpalTp5pqBw4cUH5+vkWJAFjlzNArDw8PUz0zM1Pr1q2Tw+GwKBkAAAAAAH2H3W7XXXfdpcOHD5vqd911l7797W9blApAb2IYhiZMmKCHH35Y0dHRpnP79u2zKJVZenq6/P39TbVNmza57PIOoH87M/QqMTHRVD8z9Kq4uNiiZAAAAAAA9A4Oh0N33323cnJyTPWlS5fq+9//vkWpAPQmhmFo/Pjxevjhh102legtPYGJEycqICDAVKMnAAw8Z4ZejRo1ylQ/M/Tq+PHjFiUDAAAAAPR2DLwC3Ky4uFi33nqr2traTPUXXnjBbTsvA+gbDMPQ1KlTFRQUZKrv37/fokRmU6ZMkbe3t/PY4XBo1apVeu2111RZWWlhMgDudq6hV2+++aaam5stSgYAAAAAQN/wi1/8QuvWrTPV0tPT9fTTT8swDItSAeiNQkNDXTakOHz4cK+4B+fl5aXLL7/cVMvNzdWTTz6pjIwM2e12i5IBcLfzDb36+k7vAAAAAAAMNL/+9a/11ltvmWoTJkzQs88+S08AgElISIimTZtmqh05cqRXDJXqbAPtvLw8/e///q++/PJLegLAAHK+oVcdN/4CAAAA0De1traqqKhI+/bt0/bt2/XZZ58pIyNDeXl5Kisrk8PhsDoi+hhPqwMAA0lzc7NuvfVWnTx50lT/0Y9+pJtvvtmiVAB6M5vNppSUFO3cudNZy87O1tVXX215U9vX11eTJ0/Wtm3bTPUDBw7o8OHDSktL0/Tp0xUWFmZRQgDudGbo1auvvqr29nZnfd++fSoqKtKNN96okSNHWpgQAAAAAIDeaf369fr5z39uqkVGRuqtt96Sn5+fNaEA9GpjxozRu+++61ws0tbWppycHE2cONHaYPpqs4ytW7eqpaXFWauvr9e6deu0Y8cOXXHFFRo7dqzL8HwA/c+ZoVerV6/WkSNHnPWmpia9/PLLSk9P17x58+Tj42NhSgAAAAAA3OuDDz7Qf/zHf5hqYWFheuutt+Tv729RKgC9WXJysjw8PJzfzW1vb9eBAweUnp5ucbKvegJbtmwxbcrR0NCgd999V1988YVmzJihcePG0RMABoAzQ69effVV06YXzc3NeuWVV5SWlqZ58+bJ19fXwpQAAAD9kGFI6q8D1Pvr+/qn9vZ2HTlyRHv37lV2drb27dunw4cPq7W1tdPrV61a5bIhZU+x2+06cOCAtm/frgMHDig3N1cFBQVnzSZJQUFBmjBhgiZOnKgZM2b0insX6N0YeAW40Xe/+13t2LHDVJs3b54ee+wxixIB6AvGjRtnGnh1+vRpHTx4UGPGjLEw1VeuueYaHT9+XIWFhaZ6W1ubdu3apS+//FJjx47V9OnTNWTIEItSAnCXsw29qq6u1qpVqzRlyhRde+218vb2tjAlAAAAAAC9R25uru68807TrkY2m02vvvqqhg8fbmEyAL2Zn5+fEhISTF8W37ZtmyZMmGD5Zhn+/v66+eab9frrr5vuEUrSqVOn9NZbb+mjjz7StGnTlJ6ezr1CoJ8729ArSc4dHtkwAwAAAAAwUOTn52vp0qUuPYHVq1fz2RjAWfn6+mrUqFE6ePCgs7Zt2zalpaVZ3hPw9fXVLbfc4vK9YemrnsDbb7+tjz/+WFOnTlV6ejrD74F+7mxDryQpMzPT2RNISEiwKCEAAABgrcLCQmVnZzsHXB04cECNjY1Wx3Kqra3Vpk2b9PHHH2vnzp2qrq6+4Mdv2bJFW7Zs0f/93/8pOTlZy5Yt06JFi7gngE7ZrA4ADBQvv/yynnnmGVNt5MiReuWVV9itAMA5xcbGKjo62lTbsmWLqeFtFW9vb919992aP3++/Pz8XM47HA7t27dPf/nLX7R+/XrnbvMA+q/Ro0fr9ttv73Sh2q5du/TnP/9Zx44dsyAZAAAAAAC9S2trq26++WaXhvBvf/tbzZo1y6JUAPqKSZMmmY5PnTqlw4cPW5TGLDk5Wd/61reUlJTU6fnq6mq9//77evLJJ1VcXOzmdADc7czQq87+TjizYcb69evV0tJiQToAAAAAANyjvb1dt9xyiyorK031xx9/XHPnzrUoFYC+omNPoLy83DQAy0qjR4/Wv/zLvyg5ObnT89XV1frggw/05JNP6vjx425OB8Ddzgy9GjNmjMu5mpoavfjii3r33XfpCQAAAGDA2Lx5s+677z5dfvnluvbaa/XII4/o+eef1+7du3vNsKsNGzbo4Ycf1rRp0/Tv//7v2rhx4wUPu+rMwYMH9eMf/1iLFi3Snj17uiEp+hsGXgFu8uSTT5qO/f399fbbbys8PNyiRAD6CsMwdOWVV5pqxcXFOnr0qEWJzGw2m6ZMmaLvfOc7uvzyy2Wzdf7jxa7kL82xAAEAAElEQVRdu7RmzRqGXgEDwKhRo/Stb31L8fHxLucqKyv1wgsvKCMjw4JkAAAAAAD0Hp999pn27dtnqt1+++165JFHLEoEoC9JSkpSVFSUqfb555/3is0yJCkiIkJLly7V8uXLXTb1OKO2tlarVq1SUVGRm9MBcLczQ68WLlx41g0z/va3v6murs6CdAAAAAAA9LwtW7YoKyvLVLv11lv1b//2b9YEAtCnJCYmatCgQaZab+oJhIeH6/bbb9eKFStccp5RV1enVatWsWkuMAB4enpq8eLFWrRokXx8fFzOf/nll1q5cqVqa2stSAcAAAC41549e7RlyxZVVVVZHeWsHn/8cX388cdqbW3tkecvKCjQ0qVL9T//8z+95l4GegcGXgFu0vFLmw8++KBSU1MtSgOgrxk7dqzCwsJMtc2bN/eqH+z8/Px0/fXX67vf/a6mTZvW6ZfV9+7dq7feekvt7e0WJATgTqGhobrrrrt0ww03yMvLy3TObrdr3bp1+uSTT3rV32MAAAAAALhTZ/fP/vSnP8kwDAvSAOhrOtss4/jx471ms4wzEhIS9PDDD+v2229XbGysy/nm5ma9+OKLLHABBgDDMDRp0qSzbphRWlqqZ599VuXl5RakAwAAAACgZ3XWE/i///s/egIAuqSznkBJSYny8vIsStS5+Ph4PfTQQ1q6dKni4uJczre0tOill17qdb0MAN3PMAylp6fr4Ycf1siRI13OnzhxQs8++6zKysosSAcAAADA3drb2/XUU0/p0UcfZU0xnBh4BbjJpEmTTMdHjhyxKAmAvshms2nGjBmmWkFBgTZs2NDrfrALCQnRvHnz9P3vf1+zZ8+Wh4eH6fy+ffv0xhtvMPQKGAAMw9Bll12mhx9+uNPG9Weffaa1a9fy9wEAAAAAYECaOHGiy0IWegcALsS4ceMUGhpqqr3xxhs6ceKENYHOwjAMJScn67777tO9997rcq/wzAKX/Px8ixICcKdzbZhRVVWl5557ToWFhRalAwAAAACgZ0yYMEE2m3n5Dj0BABciJSVF4eHhptqbb76p0tJSixJ1zjAMJSUl6d5779W9996rESNGmM63trbq5Zdf7nXDugD0jNDQUC1fvlzz5893GQBaXV2t5557jo1xAAAALoVhSLZ++ptB8b1GVFSUbrrpJv30pz/Vyy+/rM8++0yZmZnav3+/tm3bprVr1+pnP/uZZs+e7XIPtKO33npLTzzxhHuCo9dj4BXgJpMnTzYdf/HFF7Lb7RalAdAXTZw4UYGBgabarl279M477/S6oVeS5OfnpyuvvFJLly6Vp6en6VxOTo5ee+01tbW1WZQOgDuFh4fr7rvv1hVXXOFyLisrS6+88opOnjxpQTIAAAAAAKwTHByspKQkU23Hjh0WpQHQF3W2WUZDQ4NeeOEFlZSUWJTq7AzDUFxcnO666y6NHj3adK61tVWvvPIKi/yAAeLMhhkPPvigwsLCTOcaGxu1atUq7dq1Sy0tLRYlBAAAAACge/n7+2vs2LGmGj0BABeis55AY2OjXnjhBRUXF1uU6tzi4uK0fPlyJScnm+ptbW36+9//rtzcXIuSAXAnwzA0ZcoUPfjggy6D+5qamrRq1Sp98cUXam5utighAAAAYC1fX1+lpaVp+fLluuaaa6yOI0mKiIjQihUr9Oabb2rLli36zW9+ozvvvFOTJ09WTEyM/P395enpqYiICCUnJ+uOO+7QU089pQ0bNmjmzJnnfO5nnnlGu3btctM7QW/GwCvATaZMmWI6PnnypFatWmVRGgB9kaenpxYtWuQy3TQjI0Nr167ttUP0EhMTdccdd7js0Hzo0CGtXr1ara2tFiUD4E42m01z5szR/PnzZXSYrp2Xl6c///nPevrpp7Vjxw7V19dblBIAAAAAAPfq2Dv4n//5H77ECeCCpKenu+yOfmZYTG9d4OLp6aklS5ZozJgxpvqZBS6HDx+2KBkAd4uMjNR9992nIUOGmOptbW1av369fv/732vNmjU6evRor9wACAAAAACAC9GxJ/C///u/amxstCgNgL4oLS1NI0eONNXODIspKiqyKNW5eXh46LbbbnMZ+tfW1qbVq1fr4MGDFiUD4G4RERG67777NHToUFO9vb1dGzZs0O9//3u9/fbb9AQAAADQr3l6emrMmDFavHixHnvsMa1Zs0a7d+/W6tWr9eMf/1jjxo2zNN+YMWP029/+Vp9++qkeffTRC84THx+vP//5z/rBD35w1mscDocee+wxfu4HA68Adxk1apTLX+iPPvooAx0AXJDRo0fr1ltvdRl6lZWV1auHXo0cOVJ33nmnvL29TfUjR47o73//O0OvgAFkypQpWrJkicsQPEk6ceKE3n//ff3hD3/QRx991Gv/TgMAAAAAoLvccsstpuP8/Hw9+eSTFqUB0Bd5eHjojjvuUHx8vKneFxa43HrrrS4LXNrb2/Xqq68qJyfHomQA3C0wMFB33323Ro0a5XKupaVFWVlZeuGFF/TUU0+ptLTUgoQAAAAAAHSPjj2BwsJCPfHEE9aEAdAn2Ww2LV261GXoVXNzs1588UUVFhZalOzcPDw8dMstt2j8+PGment7u1577TUdOHDAomQA3C0gIEB33323kpKSXM61trZqz549euGFF/SnP/1JJSUlFiQEAAAAutegQYO0aNEi/cd//IdWr16tjIwMrVmzRo899pgWL16sMWPGyNPT0+qYGjNmjJ5++mmtWbNGN954o8s8gAthGIa++c1v6lvf+tZZrzl06JA+/fTTi34N9A8MvALcxDAM/fa3vzXVSktLXWoAcD4pKSlavHixPDw8TPU9e/bo7bffVnt7u0XJzm3EiBFavny5fHx8TPX8/Hy9/PLLamlpsSgZAHdLTk7WihUr5O/v3+n59vZ2ff7553r55ZfZwQ4AAAAA0K8tWrRI06dPN9Uee+wxlZWVWZQIQF/k7e2tO+6446wLXI4dO2ZRsnM71wKX119/Xfv377coGQB38/b21tKlSzVp0qSzXlNWVqaVK1cqOzvbjckAAAAAAOg+119/va6++mpT7Ze//KVOnjxpUSIAfZGXl5eWLl2qxMREU72lpUUvvfSSjh49alGyc7PZbPrGN76hiRMnmup2u11vvPEG9/2AAcTLy0tLlizR5MmTz3pNeXm5Vq5cqb1797oxGQAAQB9kGDL66W8ZhtX/drvF4sWL9bvf/U533XWX0tLSXNbY9waPPfaY3n77bc2cObNbn/c73/mOUlNTz3p+zZo13fp66HsYeAW40XXXXae5c+eaar/73e90/PhxixIB6KuSk5O1ZMkSl6FX2dnZev7551VbW2tRsnMbNmyYli9fLl9fX1O9oKBAL730ktra2ixKBsDdYmNj9a1vfUtXXnmlgoODO70mLy9Pr7/+uhwOh5vTAQAAAADgHoZh6I9//KOpVlNTo5///OfWBALQZ51rgcuqVau0a9euXnmf7XwLXNjVHRg4bDabFixYoDvuuEOjR4+Wzeb6labW1la99dZbvXbRHgAAAAAA52IYhv7whz98tWDvH+rq6vSTn/zEwlQA+iIvLy/dfvvtGj16tKne0tKiF198UTt37uy1PYEbb7xR6enpprrdbtdbb72lffv2WZQMgLvZbDbNnz9fd955p5KSkjrtCbS1temtt95SXl6eBQkBAACAgWPWrFmme5bdxTAMPfLII2c9v337dtnt9m5/XfQdDLwC3MgwDP33f/+36SZMY2OjHn30UQtTAeirRo8eraVLl8rT09NULyoq0jPPPNNrd2yPjY3VXXfdJT8/P1O9sLBQH3zwgUWpAFghMDBQs2fP1ve+9z0tX75c48ePdxnkl5+fr/z8fIsSAgAAAADQ8y677DLdeeedptozzzzDkBcAF+xsC1za29u1fv16rV27Vq2trRalO7szC1wmTZpkqjscDq1Zs0bl5eUWJQPgboZhaPTo0brjjjv0yCOPaO7cuYqMjDRd43A4tGnTpl65YA8AAAAAgPNJT0/XihUrTLXnnntOe/futSgRgL7K09NTixcvVnJysqlut9v13nvv6e233+6VPQHDMLRw4UJNmTLFVHc4HFq7dq1OnTplUTIA7mYYhkaNGqWlS5fqkUce0bx58xQVFeVy3YcffkhPAAAAAOijLr/8ckVERHR6rrq6WkVFRW5OhN6EgVeAm40bN07f/OY3TbUXX3xRu3btsigRgL4sMTFRd9xxh7y8vEz1uro6vfDCC712l5MhQ4ZoxYoV8vf3N9V37drVazMD6Dk2m00JCQm65ZZbtGLFCgUEBJjOf/LJJzSpAAAAAAD92q9+9Sv5+vo6j9vb2/WDH/zAwkQA+ipPT08tWbLEZYGLJGVlZen5559Xc3OzBcnOzTAMLViwQJdddpmp3tLSotdee61XLsoB0LMCAwM1ffp0Pfzwwy4D8YqLi5Wbm2tRMgAAAAAALs3jjz9u+v6s3W7XD37wA74jB+CCeXp66rbbblNKSorLub1792rlypW9tidwww03aOrUqaZ6a2urXn/9dbW0tFiUDIBVAgMDNW3aND300EMuA/FOnDihQ4cOWZQMAAAAwKWw2WyaPHnyWc8XFha6MQ16GwZeAW5WWlqquLg4l/r3v/99NTU1WZAIQF83cuRI3XvvvQoNDTXVz+zO0lsb4DExMVqxYoXLsK533nlHp0+ftigVAKvFxcVp9uzZptrx48fZsQkAAAAA0G85HA7l5OS47FT6/vvva+3atRalAtCXeXh4aPHixZoxY4bLueLiYmVlZbk/VBcYhqHrr79eaWlppvqpU6f03nvvWZQKgNU8PDw0f/58hYeHm+q7d++2KBEAAAAAABfP4XDowIEDGjRokKm+adMmvfXWWxalAtCXeXh46NZbb9WVV17pcq60tFQZGRkWpDo/wzA0b948l2H3ZWVl2rBhg0WpAFjNw8ND119/vSIjI031L7/80qJEAAAAAC5VdHT0Wc/V1ta6MQl6GwZeAW5UUlKi9PR0Pfrooy7ntm7dqpiYGD3wwAP69NNPZbfbLUgIoK8aPHiwvvnNbyo2NtZUr6+vV0NDg0Wpzm/QoEGaP3++qdbc3Kx169ZZlAhAbzBhwgQFBwebagUFBdaEAQAAAACgh/3iF7/QvHnzVFRU5HLupptu0pQpU/Q///M/OnnypAXpAPRVNptN1157rRYvXuxyrjcPlz+zq3vHBX8ZGRnKy8uzKBUAq9lsNl1xxRWm2rFjx3rtxj8AAAAAAJzNb37zG1177bU6evSoy7lbb71VkydP1h//+EeVlpZakA5AX2Wz2TR79mzdfvvtLud6e0/g+uuvV0xMjKmelZWl3Nxci1IBsFpnPYHCwkLWWgIAAHTGJslm9NPfVv/LRXcJCAg467m2tjY3JkFvwx9zwI3+67/+SydOnDjr+erqaj377LOaOXOmPDw89KMf/UjV1dVuTAigL/P399eKFStc6r19uunEiRM1ceJEU+3YsWO9urkGoGd5eHho5MiRplphYaFFaQAAAAAA6DnHjx/XL37xi3Ne8+WXX+p73/ueYmJiFBAQoPfff99N6QD0BykpKUpJSTHVenvfwMvLS7fddpu8vb1N9V27dlmUCEBvkJiYaDpuamqinwgAAAAA6FNKS0v1n//5n+e8Zvfu3XrkkUc0ZMgQ+fj4aMOGDW5KB6A/SE5O1vjx40213t4T8PT01G233SYfHx9TnZ4AMLB17Am0tLScc00mAAAAgN6rsrLyrOf8/f3dmAS9DQOvADc5duyYVq5ceUGP+fWvf61rrrmGXUkBdFlnN3D7wg978+fPV1BQkKmWkZFhURoAvcHw4cNNx4WFhfxMBAAAAADod371q1+ppaWly9c3NDTo+uuv1xtvvNGDqQD0N62trabjvtA3iIyM1Jw5c0y1w4cPq66uzqJEAKwWHByssLAwU43NMgAAAAAAfclvfvMbNTU1dfn6lpYWzZ8/X6tXr+7BVAD6m469x77QE4iIiNC1115rquXm5qqmpsaiRACsFhgYqIiICFOtqKjIojQAAAAALkVubu5Zzw0dOtSNSdDbMPAKcJPHH3/c5cvkXZGVlaXS0tIeSASgPzp06JDpODo6WsHBwRal6TovLy9NnDjRVNuzZ4/a2tqsCQTAcsOGDTMd19bW0rgGAAAAAPQrRUVFevbZZy/qsezoDqCrWlpadPToUVOt447IvdWECRPk5eXlPLbb7crKyrIuEADLdewdHD9+3KIkAAAAAABcmOLiYj399NMX9dj169d3cxoA/VVra6vy8/NNtb7SE0hNTZW3t7fz2OFw0BMABriOPQEGXgEAAAB9T01NjbKzszs95+Xlpfj4eDcnQm/CwCvADY4ePaq//e1vptrixYt1zz33yNfX95yPHTNmjAYNGtST8QD0I4cPHzYdJyUlWZTkwqWlpZmOGxsbXQZ4ARg4IiIi5OnpaapVVFRYlAYAAAAAgO73y1/+0rTDsre3t373u98pNTX1vI+dNWtWT0YD0I/k5+ebNpew2Wx9ZnGLj4+Pxo4da6plZmbK4XBYlAiA1Tp+d4K+AQAAAACgr/j1r3+t5uZm57GXl5d+97vfuWwW2xl6AgC66ujRo2ptbXUe22w2jRo1ysJEXeft7a1x48aZavQEgIGtY0+gsrLSoiQAAAAALtb69etN9yq+LjU19byzVtC/MfAKcIPHH3/c9EVyX19fPfHEE1q5cqVKSkr0xBNP6IorrlBKSoqmTZum2NhYpaSk6Kc//ak+/PBDeXh4WJgeQF/R3t6uU6dOmWqjR4+2KM2FCw8P14gRI0y1jIwMa8IAsFxNTY3p5ydJCg4OtigNAAAAAADd69ixY3ruuedMtQceeEA//OEPlZWVpW3btunuu+/WuHHjlJaWpssuu0ySdO+99+r111/XsmXLrIgNoA86ceKE6TguLq5PfUkkPT3ddHz69GkVFhZalAaA1ToOuKJvAAAAAADoC44fP66//OUvptq9996rH/7wh8rIyNCOHTt07733OnsCl19+uSTpnnvu0auvvqq7777bgtQA+qKOPYHY2Fj5+flZlObCdewJVFZWqqCgwJowACxHTwAAAKALDKN//0af1tbWpueff/6s56+77jr3hUGv5Gl1AKC/q6ys1KpVq0y1hx9+WIMHD5YkhYWF6bvf/a6++93vWhEPQD9SX1/vUouIiLAgycVLT083NaXy8/NVXV2tkJAQ60IBsEROTo7p2NfXV+Hh4RalAQAAAACgez399NOmHYt8fHz0ox/9SJJkGIamTZumadOmWRUPQD9SV1dnOo6MjLQoycUZNmyYIiMjVV5e7qxlZmZq+PDhFqYCYIW2tjbl5uaaakOHDrUoDQAAAAAAXffMM8+opaXFeezt7a1HH31U0lc9gcsvv9w55AoALkVf7wkMHTpU0dHRpk3AMzMzFR8fb2EqAFZob2/X4cOHTTV6AgAAAEDf8uqrr551kLW/v78WLlzo3kDodWxWBwD6u/fff99l0cr/9//9fxYmAtBfdWxQ2Wy2PrUjiySNGTPGtLO8w+HQoUOHLEwEwAqtra3aunWrqTZixAgZTOUGAAAAAPQT69atMx0/8MADfDkTQI/o2DsIDAy0KMnFMQxDaWlpptqhQ4dkt9stSgTAKpmZmaqpqTHVRowYYU0YAAAAAAAuQMeewL333qu4uDiL0gDoz/prT6C9vd2iRACskpWVperqalONngAAAADQd5w4cUJ//OMfz3r+9ttvV1hYmBsToTfytDoA0N+9++67puM5c+YoJibGojQA+rO2tjbTsc3W9+Zaenl5KSkpSXv27HHWcnNzddlll1mYCoC7FRUVqba21lSbPn26RWkAAAAAAOhe+fn5OnDggKl25513WpQGQH/XH3oH48aN04cffug8bmxsVHFxsYYNG2ZhKgDutn//ftPxiBEjNGTIEIvSAAAAAADQNYWFhdq7d6+pRk8AQE/pOBiqr/YEPvjgA+dxc3OzioqKGHQDDDAdewJxcXFsIgYAAABJUllZWY88b0BAQJ8bHN1b2e12/ehHP3JZI3xGWFiYHn74YTenQm/EwCugB7W1tem9994z1RYsWGBRGgD9XWhoqOm4ra1NdXV1CgoKsibQRRo9erRp4NXRo0fV2toqLy8vC1MBcKeGhgbTsb+/PzvaAQAAAAD6jfXr15uOo6KiNGXKFIvSAOjvOvYOKisrrQlyCUJCQjRo0CCdPHnSWcvNzWXgFTDANDY2mo6Tk5MtSgIAAAAAQNd17AmEh4dr6tSpFqUB0N+FhISYjvtiTyAoKEiDBw9WaWmps5abm8vAK2CA6awnYBiGRWkAAADQm9xyyy098rzf/va39f/+3//rkeceaJ566ilt27btrOf//d//XcHBwW5MhN6q741qB/qQbdu2udwgnj9/vkVpAPR3QUFBLkOhKioqLEpz8UaOHGnaTaatrU15eXkWJgLgbjExMabjhoYG5efnW5QGAAAAAIDu9c4775iOb7jhBnl4eFiUBkB/Fx4ebjrui30DSRo1apTp+ODBg3I4HBalAWCFQYMGmY4PHDig9vZ2i9IAAAAAANA1HXsC119/vTw92bceQM/orz2BQ4cO0RMABpiOPYGcnBx6AgAAAJ2xGf37N/qcjz76SH/605/Oen727Nm66aab3BcIvRp3yoEe9O6775qOJ06cyE7DFyEwNeb8F7lBeJCP1RGAczIMQ2FhYTp16pSzVlFRoeHDh1uY6sL5+flp2LBhOnbsmLP2ySefaPTo0aZBWAD6r4iICPn5+Zl2Znnttdf0wAMPKCIiwsJkAAAAAABcmtraWn366aem2sKFC60J08f535RqdQRJUsjwMKsjAOfUnxa3bNmyxXl86tQp7du3T+PHj7cwFQB3GjZsmPbu3es8Liws1IYNG/hZCgAAAADQa9XX1+vjjz821fgc27dNTpttdQTgnPpTT2Dz5s3O4/Lycu3Zs0cTJ060LhQAtxo2bJiysrKcx0VFRXr33Xd14403WhcKAAAAwDkdPHhQP/zhD2W32zs9P3jwYD3++ONuToXejKkRQA/qOPBqwYIFFiUBMFD0lybVhAkTTMcnT55URkaGRWkAuJthGJo2bZqp1tTU5LIgGAAAAACAvubDDz9Ua2ur89jLy0vXXnuthYkA9Hcd+wa1tbVqaWmxKM3FGzZsmMt72bhxo9ra2ixKBMDdxo8fr8DAQFNt9+7dps2AAAAAAADoTT766CM1Nzc7jz08PDRv3jwLEwHo7zreR6+vrzf9PdRXDB061GWD3E2bNpn6rAD6t3HjxikoKMhUy8zM1IkTJyxKBAAAAOBcSkpK9M1vflMNDQ2dnvfy8tITTzyhsDA2mcU/MfAK6CF5eXnKyckx1Rh4BaCndfxBr7Ky0qIkl2bixImKiYkx1XJzcy1KA8AKV155pcaMGWOq5efny+FwWJQIAAAAAIBL13GjjKuvvlrBwcEWpQEwEHT2BZG+2Duw2WyaO3euqVZbW6uTJ09alAiAu/n6+mrp0qXy8vIy1Y8ePWpRIgAAAAAAzq1jT+DKK69UaGioNWEADAihoaEyDMNU64sbaNtsNl133XWmWl1dnUpLSy1KBMDdfHx8Ou0J5OfnW5QIAAAAwNlUVFTovvvuO+t3+QzD0K9//WtNnDjRvcHQ63laHQDor1544QXTcVRUlKZMmWJRGgADRcddWfpig0r6qkmVkpJi2n2BHVmAgcUwDF177bWmAaL19fWqqKhw2bUJAAAAAIC+oKysTOvXrzfV2CgDQE/z8vJSUFCQamtrnbXKykoNGjTIwlQXJykpSZ6enmpra3PW6B0AA8vQoUM1btw4ZWZmOmuFhYW6/PLLLUwFAAAAAICr06dP65133jHV6AkA6Gmenp4KDg5WdXW1s1ZZWanBgwdbmOriJCYmytvbWy0tLc4aPQFgYBkyZIhSU1O1e/duZ62oqMjCRAAAAL2QzZA6DD7uNxydv68333xTUVFR3f5yAQEB3f6cA0FdXZ3uv//+cw6n/clPfsK9UXSKgVdAN6utrdW3v/1trVq1ylSfP3++bDabRakADBSdDbxyOBwuO7X0BVVVVaZjHx8fa4IAsExYWJj8/f3V0NDgrO3YsUPz58+3MBUAAAAAABfuo48+0vLly3Xq1ClTnQYuAHcIDw83Dbzqq5tl1NfXm4ZdSfQOgIFo6NChpoFXOTk5qqqqUmhoqHWhAAAAAAD4mk8//VTLli0zbfoq0RMA4B7h4eGmgVd9tSfQ1NRkGnYlSb6+vhalAWCVoUOHmgZeHTp0SJWVlQoLC7MwFQAAAKwUFRXVJzd77I+ampr00EMPaf/+/We95vvf/77uvPNON6ZCX8L0HaCbOBwObd26VZMmTXIZdiVJS5cutSAVgIGm48CrpqYmNTY2WpTm0nh5eZmODx48qOPHj1uUBoAVDMPQ+PHjTbWMjAzT4jwAAAAAAHqz2tpaPfroo7r22mtVWlpqOjdlyhQlJCRYlAzAQNLZZhl9kYeHh8sGHx999JEcDodFiQBYITk5WZ6e/9zfz263a8uWLRYmAgAAAADgK3V1dfrJT36iWbNmqbi42HQuLS1No0ePtigZgIGkv/QEbDabbDbzssdNmzbREwAGmKSkJNPaIrvdrs8//9zCRAAAAAAkqaWlRf/v//0/7dq166zXPPDAA3rooYfcmAp9DQOvgEt0+PBh/ed//qfGjBmjK664Qrm5uS7XPPLII5o7d64F6QD0Vw6Ho9NmTUhIiEtjp7Ky0l2xutWUKVNMX1Z3OBxau3aty+7tAPq3GTNmyMPDw3nc3t6unJwcCxMBAAAAAHBuTU1Nevvtt7V48WJFR0frV7/6lcu9vEGDBun555+3JiCAfutsizw67nDcVxe3+Pn5KS0tzVQ7cuSI9uzZY1EiAFYIDAzU5MmTTbX9+/fLbrdblAgAAAAAMJA1Nzdr7dq1WrJkiaKjo/WLX/zC5T5dVFSUXnjhBZdh7gBwKc7WE+gvA698fHw0adIkU+3o0aPKyMiwKBEAKwQEBGjKlCmm2oEDB+gJAAAAABZqb2/XD37wA23evPms19x555364Q9/6MZU6Is8z38JgI6OHz+uV199Va+88so5b5YGBQXpmWee0dKlS92YDkB/l5eXp3feeUdtbW2aMGGCrrrqKvn4+Ej6aieT0NBQU2OqoqJCQ4cOtSruRYuMjNQ1/z979x0W1Zn2D/x7Zui9g3REUFEQe+/dWLGX9MQtKW42+77vZrOb/LItW5Js2u6mqzG22CsW7A07VUVFmhTpVcqU8/vDddYzMyAqzIGZ7+e6uN733M8Bvm4S1HOf537GjEFCQoKuVlJSgmPHjmH8+PEyJiMiU3JxcUGvXr2QkpKiq6WmpmLgwIF8AYiIiIiIiIg6DLVajSNHjmDdunXYunUrqqurm7138uTJWL16NXx9fU2YkIjMmVarxfbt23H16lV06dIFY8eORVhYmG7dXDa3AMCkSZNw48YN1NTU6Gr79u1DeHg4nJ2dZUxGRKY0ZMgQJCYm6q7r6+uRmZmJiIgIGVMRERERERGRpdBoNDh69KiuJ1BZWdnsvRMmTMCaNWvg5+dnuoBEZNa0Wi127tyJ9PR0+Pn5YcyYMQgPD9etm1NPYMKECbh+/Tqqqqp0tQMHDqBbt25wdXWVMRkRmdKQIUNw+vRp3XVDQwNu3LiB7t27y5iKiIiIiMgyabVa/PrXv8aBAweavScuLg6/+93vTJiKOiuF3AGIOouysjJ8+eWXGD16NIKDg/GrX/2qxWFXgwYNQlJSEoddEVGb0mg02LZtGyorK1FbW4tTp07h888/R25uru4ec2pSDRs2DP7+/pLayZMnkZGRIVMiIpJDt27dJNd5eXk4evRos6dTEREREREREZmCKIo4c+YMXn/9dQQEBGDSpElYtWpVs8OurK2t8cEHH2Dv3r0cdkVEberixYtISUmBSqVCbm4uVq9ejR07dkCtVgMw7BtUVVVBo9HIEfWJ2dnZYcaMGZJaQ0MDfvzxR6hUKplSEZGpubm5wcvLS1LbvXs3ysrKZEpERERERERE5k4URZw9exYrVqxAYGAgJkyYgO+++67ZYVdWVlb461//iv3793PYFRG1qcuXLyMpKQkqlQp5eXlYs2YNtm3bpusJuLu7S+6vrq7utM/PbW1tDXoCjY2N+PHHH9HU1CRTKiIyNRcXF/j4+Ehqe/bsQWlpqUyJiIiIiDoOAQIEwUw/IMj9Py/pEUUR7777Lnbu3NnsPU899RT+9Kc/QRD4z48ezkruAEQdWUNDA7Zs2YL169dj//79ugfALQkNDcVPfvITvPnmm7C2tjZBSiKyJLdu3UJtba2kVlNTg++++w4BAQFwdXXFzZs3JeudeeCVQqHArFmz8OWXX0Kr1QK49wfizZs34+mnn0ZwcLDMCYnIFCIiImBnZ4eGhgZd7dixY8jOzsacOXPg5uYmXzgiIiIiIiKyONeuXcP333+P9evXIzs7+6H3W1lZYcqUKXjvvffQr1+/9g9IRBYnJSXFoHb58mUkJycjMjJS8lwNuPecvbKyEp6enqaK2KYiIyMRExMj+XXn5eVh69atiIuLY4+WyELExMTg8OHDuuuqqip88cUXGD9+PAYPHswX54iIiIiIiKhNZGRk4Pvvv8eGDRtw69ath96vVCoxefJkvPfeexgwYIAJEhKRpUlNTTWoJScnIzU1FZGRkUYHQVVWVsLb29sU8dpct27dEBsbi6SkJF0tPz8fW7Zswbx589gTILIQMTExSEhI0F1XV1fjiy++wLhx4zB06FD2BIiIiIiITOBPf/oTfvzxx2bXx48fj7/97W9QKBQmTEWdGQdeETWjuroaw4cPR1pa2kPv9fX1xYIFC7B48WIMGTKED0mIqN1cu3at2bX8/Hzk5+cb1PU3snQ2vr6+GDt2LA4dOqSrqVQqfPfddwgNDcXAgQPRo0cPKJVKGVMSUXuyt7fHzJkzDf4ynJOTg6+++gqLFi3iADwiIiIiIiIyidWrV+P555+HKIot3icIAkaNGoXFixdj3rx5nXaoDBF1fLW1tcjLyzO6ptVqm+0rdPbewZQpU5CTk4Oqqipd7erVq/joo4/Qt29fDBgwAB4eHjImJKL2NmzYMNy4cUPyM1ClUmHfvn0oKCjAzJkzYWXF16KIiIiIiIjo8a1duxbPPPOM7sDWlowcORJLlizBvHnz4OXlZYJ0RGSJ6urqkJOTY3TNnHsCkydPRnZ2NiorK3W1jIwMfPTRR4iNjcWAAQPYjyUyc0OGDMH169eRm5urq6nVahw4cACFhYWYOXMmB+AREREREbWjDz/8EGvWrGl2fcSIEfj444/5rg49Ev7bQtSM3//+9y0Ou3J1dUVcXBwWL16MsWPH8ocvEbU7URRx8+bNR/68rl27tkMa0xoxYgTKysokJ7MAQHZ2NrKzs2Fvb4+QkBDdh5+fHyfAEpmZqKgoTJo0CQcOHJDU7969i9WrV2Pu3LmIioqSKR0RERERERFZgqKiIrz22mstDrvq378/Fi9ejIULFyIwMNCE6YjIUt26deuRP8fZ2bnTb7pzcHDA0qVL8d1330k26tTX1+P06dM4ffo0fH19ERoaqusdODo6ypiYiNqalZUVFi1ahJUrV6K0tFSylpKSgoqKCjz99NOwsbGRKSERERERERF1ZiUlJXj11VdbHHbVt29fLFmyBAsXLkRQUJAJ0xGRpcrKynrowTz6nJyc4O3t3U6JTMPe3h5Lly7Ft99+a9ATOHPmDM6cOQNfX1/JfgInJycZExNRW3uwJ1BSUiJZS01NRXl5OZ555hnY2trKlJCIiIiIyHx9/vnn+Oqrr5pdHzRoEP75z3/yHR16ZJzQQ2TEtWvX8MknnxjU7ezsMGPGDCxevBhTp06FnZ2dDOmIyFJVVFRITioHgPDwcGRmZhq9X6lUYvTo0Rg0aJAp4rUrQRAwY8YM1NTUGP311tfX49q1a7pTaWxtbREcHIyQkBD06tUL7u7upo5MRO1g2LBh8PPzw65du1BRUaGrazQa7NixA927d4dSqZQxIREREREREZmz3/zmN6ipqTGod+/eHYsXL8bixYsRGRkpQzIismT6A6/c3d0hiqLklPMH+fn5IS4uzixe9vbx8cHChQvxww8/QKPRGKzfuXMHd+7cwdmzZwEA3t7eCAkJQdeuXdGjRw8enEFkBhwdHfHyyy/j8OHDOHfunGSzX15eHhITEzFq1CgZExIREREREVFn9dvf/tboM7aIiAhdT6BHjx6mD0ZEFk2/J+Dm5gZBECTv1D7I19cXcXFxZrH3ydvbG4sXL8b333/fYk/g3LlzAAAvLy9dT6Bnz57sCRCZAQcHB11P4OzZs5KeQH5+Ps6cOYMxY8bIF5CIiIiIyAx9++23+Oyzz5pd79u3L7744guzePZApseBV0R6RFHEL37xC6jVal3NxsYGX375JeLi4uDi4iJjOiKyZPoNKicnJyxbtgxlZWW4efMmVCoVNBoNlEol7O3tERERAVdXV5nStj2lUonFixfj5MmTOH/+POrq6pq9t7GxETdu3MCNGzdw5MgRzJgxA7GxsaYLS0TtpmvXrvjpT3+KTZs24ebNm7p6Y2MjysrK4OPjI2M6IiIiIiIiMlfnzp3DypUrJbXJkyfjz3/+M/r27QtBEGRKRkSWTBRFg97BkCFD0L9/f1y/fh0VFRW6nqe1tTW8vb3RtWtXsxoaHxYWhhdeeAGHDx9u9oCQ+0pKSlBSUoILFy4gICAAy5Ytg729vYmSElF7sbW1xdSpUxEeHo5169ZJ1goKCmRKRURERERERJ3ZpUuX8PXXX0tqEyZMwF/+8hf069ePPQEikk1WVpbkevDgwRg4cCBu3LiB8vJyXU/AysoKPj4+ZtcTCAkJwUsvvYRDhw5J3iE2prS0FKWlpbh48SL8/f2xbNkyODg4mCgpEbUXGxsbTJkyBeHh4Vi7dq1kjT0BIiIiskgK4d6HWTLXX1fnsXbtWvztb39rdr137974+uuv4ejoaMJUZE448IpIz+7du7F//35J7Ze//CWee+45eQIREf2H/qaVsLAwCIIALy8veHl5yZTKtKysrDBmzBiMGDECV69exfnz55Gbm9vi52g0GuzYsQNKpRLR0dEmSkpE7cnW1hZLlizB73//e0m9srKSA6+IiIiIiIiozWm1Wrz++uuSmpOTE1auXIkuXbrIlIqICCgrK0N1dbWk1rVrV1hZWSEqKkqmVKYXEBCAp59+GmVlZbh48SIuX76M+vr6Fj8nPz8fa9aswTPPPMPT5YjMRGRkJEaMGIGTJ0/qapWVlfIFIiIiIiIiok5JFEW89tprEEVRV3N0dMSqVasQEBAgYzIisnQVFRWoqKiQ1O73BHr27ClTKtPr0qULli1bhvLycly4cKFVPYGCggJ8//33ePbZZ3kQBpGZiIiIwOjRo3Hs2DFdjT0BIiIiIqK2s3XrVvzhD39odr179+749ttv4ezsbMJUZG448IroAQ0NDfjFL34hqfn7++Ptt9+WJxAR0X+IomhwIkvXrl1lSiM/KysrREdHIzo6GlVVVcjJyUFOTg6ys7NRVlZmcL8oiti2bRuUSqVFbfIhMmeCIMDGxgZNTU26mrW1tYyJiIiIiIiIyFytWbMGZ8+eldTeeecdDrsiItnp9w2cnZ0t5oAMYzw9PTFp0iSMHz8e+fn5ut5Bbm6u5DnifQUFBfjhhx/w9NNPw9bWVobERNTWnJycJNfsGxAREREREdGjWrduHU6fPi2pvf322xx2RUSy0z8829HR0aIPifXw8ND1BAoKCpCdnd1iT6CoqEjXE+BBGETmgT0BIiIiIqL2sXfvXvz2t7+VHArwoPDwcKxatQpubm6mDUZmhwOviB7wzTffGDwE/tvf/mbwAISIyNSKiooMTh6x5IFXD3J1dUVMTAxiYmIAALW1tcjJycHVq1eRlpamu0+r1WLz5s2Ii4tDr169IAiCXJGJqA00NjYaNKT5F2QiIiIiIiJqa2q1Gm+99ZakFhkZiRUrVsiUiIjov/T7ml27duWzbwBKpRLBwcEIDg7GyJEjodVqUVhYiJycHCQmJqK6ulp37+3bt7F27VosXLgQjo6OMqYmorbw4H/fAPsGRERERERE9Gi0Wq1BTyA8PBxvvPGGTImIiP6LPQHjlEolgoKCEBQUZNATOHv2LKqqqnT35ufnY+3atVi0aBF7AkRm4MH/vgH2BIiIiIiI2sLhw4fxv//7v9BoNEbXQ0JCsHLlSnh4eJg4GZkjhdwBiDqSM2fOSK579OiBJUuWyJSGiOi/9BtUHh4ecHV1lSlNx+bk5IRevXph7ty5GDJkiGTt/tCrL7/8EikpKc3+gZuIOj61Wm1QM3YiExEREREREdGTyMvLQ2FhoaT2u9/9DjY2NjIlIiK6R6vVIisrS1ILCwuTKU3HplAoEBAQgGHDhuHZZ5+Fs7OzZD03Nxf/+Mc/sHv3bpSVlcmUkojagn7vQH8AFhEREREREVFLCgoKkJeXJ6n99re/hZ2dnUyJiIjuEUWRPYFW0u8JuLi4SNbz8vLwj3/8A7t27UJpaalMKYmoLbAnQERERETUts6cOYMVK1ZApVIZXQ8ICMDq1avh6+tr4mRkrjjwiugBAwcOlFzfunWLLzUTUYdg7EQWapkgCJg8ebLBz3YAKCoqwtatW/Hvf/8b5eXlMqQjoidlZ2cHa2trSe3YsWMypSEiIiIiIiJzFRQUZNCYvXDhgkxpiIj+q7CwEA0NDZIaewcP5+npiWeeecbg5Ha1Wo0LFy7g888/x5EjRyCKokwJiehJGBtopz+8lIiIiIiIiKg5/v7+8Pf3l9TYEyCijuDOnTu4e/eupMaewMN5eHjgmWeegZOTk6SuVqtx8eJFfP755zh06BB7AkSdlLGBdvn5+TKlISIiIpKJIJj3B5nMpUuX8POf/xxNTU1G1319fbF69Wp06dLFxMnInHHgFdEDnn76acmp7E1NTfj+++9lTEREdK+hkpubK6mxQdU6giBg2rRp6Nevn9H10tJSrFmzBrW1tSZORkRPysrKCr1795bUrly5ghs3bsiUiIiIiIiIiMyRlZUVnn/+eUnt+++/R319vUyJiIju0T/J3cvLy+ClbjLO29sbzzzzDBwcHAzWRFHEsWPHcPr0aRmSEdGT6t27N6ysrHTXoihi165d0Gq1MqYiIiIiIiKizkKhUODFF1+U1NasWWMwZIaIyNT0D8/28PCAm5ubPGE6GS8vLzz77LMGB2Hcd+LECZw4ccLEqYioLURFRRkcoL179272BIiIiIiIHtGVK1ewfPnyZp+Dent7Y/Xq1QgKCjJxMjJ3Vg+/hchyeHp6Yt68eVi3bp2u9tVXX+GNN96AwCmQRCST27dvQ6VS6a4FQUBoaKh8gToZQRAwY8YMBAYG4uTJkygvL5esV1RUYN26dXjuueckQw+JqOObOHEirl27JtlkHB8fj/DwcCgUnO1LREREREREbeOll17CX/7yF911RUUFtmzZgmXLlsmYiogsnf7mFh6U8Wh8fX2xfPlyHDlyBKmpqQYvvh88eBBOTk7o06ePTAmJ6HG4u7tj5MiROHLkiK5WUFCA5ORk9O3bV8ZkRERERERE1Fm8+OKL+OMf/whRFAEA1dXV+PHHH/Hcc8/JG4yILBp7Ak/G29tb0hPQaDSS9cOHD8PZ2ZnPEIk6GTc3N4wePRoJCQm6WmFhIS5fvoz+/fvLmIyIiIiISCozM9PggMvm6D8DeNDFixdRU1PTqq8TFRUFf3//h95XVFSEF198sdmvKwgCli5diszMTGRmZrbqez+KLl26oFevXm3+dalz4MArIj3Lly+XDLzKyMjAyZMnMXLkSBlTEZEl0//DaZcuXYyeOk7NEwQB/fr1Q2xsLK5fv45Dhw6hpKREt15QUIAff/wRixcvhlKplDEpET0KBwcHTJo0CTt27NDVysvLUVhYiICAABmTERERERERkTkJDw/HhAkTJC9Jfv311xx4RUSyUalUyM3NldS4ueXRubm5Yc6cORg/fjwSExNx+vRpyfqOHTvg5OSE8PBwmRIS0eMYPnw4UlNTUVpaqqulpaVxsxoRERERERG1SkhICKZMmYL4+Hhd7euvv+bAKyKSjUajQU5OjqQWFhYmU5rOy9XVFbNnz5b0BO4PNwSAXbt2wcnJCRERETKmJKJHNXToUKSkpKC4uFhXS0tL48ArIiIiIupQ9u7di88///yJv84nn3zS6nvff/99xMXFPfS+nJwclJeXN7suiiI+/vjjVn/fRzVnzhzJocRkWRRyByDqaEaNGoXIyEhJ7auvvpIpDRGR4cArNqgen0KhQI8ePfDss8/Czc1Nsnbz5k18+eWXOHPmDMrLy1FaWor8/HzcunULpaWlkoYWEXUcsbGx8PT0lNRaO+2aiIiIiIiIqLWWL18uuT5+/DiuXbsmUxoisnR5eXlQq9W6a0EQEBoaKl+gTs7FxQWTJk3C5MmTJXWtVov169dj69atuHXrFioqKnDnzh3k5uYiJycHjY2NMiUmopZYWVlhzJgxklpubq7k5yYRERERERFRS15++WXJ9enTp5GWliZTGiKydLdv34ZKpdJdC4LA/QRPwNnZGRMnTsSUKVMkda1Wiw0bNmDLli24desWKisr2RMg6gSUSqVBTyAvL0/yc5OIiIiIiIg6Jiu5AxB1NIIgYPny5fjVr36lq23atAmffPIJPDw8ZExGRJaooaEB+fn5khpPaX9yTk5OWLZsGb777jvcvXtXVy8uLsb+/fuxf/9+g88JCgrCqFGj0K1bNwiCYMq4RNQCQRAQHByMsrIyXe3BE1qIiIiIiIiI2sKsWbPg7e2NkpISXe3rr7/Ghx9+KGMqIrJU+gdl+Pv7w87OTqY05mPo0KGorq7GmTNndDW1Wo2UlBSkpKQY3G9jY4OBAwdi6NChcHJyMmVUInqIkJAQybVKpUJFRQW8vb1lSkRERERERESdyfTp0+Hn54eioiJd7euvv8Ynn3wiYyoislT6PQE/Pz84ODjIlMZ8DB48GNXV1Th16pSuptFokJqaitTUVIP7ra2tMXDgQAwbNow9AaIORr8noFarUV5eDl9fX5kSEREREZmQQrj3YZbM9ddFRPcp5A5A1BE9++yzsLGx0V03NjZizZo1MiYiIkuVk5MDURR110qlEsHBwTImMh9eXl5YsmQJrK2tW3V/Xl4e1q5di6+//hoZGRntnI6IHoX+YEA28omIiIiIiKit2djY4Pnnn5fUVq9ejYaGBpkSEZEly8rKklzzoIy2M2nSJPTq1atV9zY1NeHUqVP45JNPsG/fPtTW1rZzOiJqLf2+AcDeAREREREREbWetbU1XnjhBUnt+++/R319vUyJiMiS6Q+8Yk+g7UyYMAExMTGtulelUuH06dP4+OOPER8fj5qamnZOR0StxZ4AERERERFR58SBV0RGeHl5IS4uTlL76quvJENniIhMQb9BFRwc3OoBTfRwgYGBWLZsGTw8PFr9OQUFBVi/fj0OHjzYjsmIqLWKi4tRXFwsqfXs2VOmNERERERERGTOXnrpJcl1WVkZtm3bJlMaIrJU9fX1KCgokNS4uaXtCIKAOXPmYNCgQVAoWvc6hUqlQmJiIr744guUlZW1c0Iiao20tDTJdXBwMBwdHWVKQ0RERERERJ2Rfk+gsrISmzdvlikNEVmqxsZGg0EuYWFhMqUxP4IgYNasWRg8eDCUSmWrPketVuPs2bP44osvUFpa2s4Jiag19HsCgYGBcHZ2likNERERERERtZaV3AGIOqrly5djw4YNuusrV67g9OnTGD58uIypiMjS8ESW9hcSEoLXXnsN2dnZuHz5Mq5evQqVSgUAsLKygkKhQFNTk8HnnTp1Cj4+PujTp4+pIxPRA3JzcyXXLi4uCA4OlikNERERERERmbOIiAiMGzcOhw8f1tW++uorLF68WMZURGRpsrOzJYf0WFlZISgoSMZE5sfKygrTpk3D6NGjkZKSgqSkJNy5cwfAvc0vtra2aGxsNDgsqba2Fhs2bMBLL70EW1tbOaIT0X/o9w6io6NlSkJERERERESdVVhYGCZNmoQDBw7oal999RWefvppGVMRkaXJycmBVqvVXSuVSr4j28aUSiWmTp0q6QkUFRUBaLknUFdXp+sJ2NnZyRGdiP6DPQEiIiIi6uhee+01vPbaa3LHMGrw4MHIyMiQOwZZKA68ImrGmDFj0K1bN9y8eVNX+/LLLznwSg6tOzy53Y2P8Zc7AlmYmpoalJSUSGo8kaV9CIKAsLAwhIWFQavVorGxETY2NlAqldBoNEhNTcWJEycMTmbftWsXvL294e/Pnw9EcqmpqZFc+/v7QxAEmdIQERERERGRuVu+fLlk4NXRo0dx/fp1REZGypjKQik7xt//X5raQ+4IZGH0D8oIDg6GlRXb/u3B0dERQ4cOxdChQ9HY2AhBEGBtbQ1BEFBeXo4TJ04gOTlZstmopKQE27dvx4IFC/ickkgmWq0WtbW1klpAQIBMaYiIiIiIiKgzW758uWTg1cmTJ3HlyhVERUXJmIrk9NbFV+WOQBZGvycQFBQEGxsbmdKYNwcHBwwZMgRDhgwx2hM4deoUkpKSoNFodJ9TWlqKbdu2YdGiRewJEMlEFEWD/QTsCRAREZElEQTBbP8+Yq6/LiL6rw4yRoao4xEEAS+//LKktnPnTskLy0RE7SkrK0tybWdnx8FKJqBQKGBvbw+lUgng3qktsbGxeOWVVzB58mTJvWq1Ghs3bkRdXZ0cUYkIhgOvnJ2dZUpCRERERERElmD27Nnw9PSU1Hbs2CFTGiKyRPq9g65du8qUxLLY2trCxsZG9yKVh4cHZs2ahddffx2+vr6Se69evYoTJ07IEZOIANy9e9fgvQ72DoiIiIiIiOhxzJgxAz4+PpLa9u3b5QlDRBZJf+AVewKmYawnMGPGDLz++uvo0qWL5N6MjAwcO3ZMjphEBKChoUEyiA4AnJycZEpDREREREREj4IDr4hasGjRIsl1VVWVwUvkRETtRb9BFRoaCoWCv3XLRaFQYOjQoRg0aJCkXlVVhfj4eJlSEZH+Ke1sUBEREREREVF7srW1RVxcnKR26dIlmdIQkaWprq5GaWmppMbNLfJyc3PDokWLYG9vL6kfOXIERUVFMqUismz6fQNBEODo6ChTGiIiIiIiIurMbGxsMG/ePEmNPQEiMpXa2loUFxdLauwJyMvV1RULFy6Eg4ODpH706FEUFBTIlIrIsukfng1wPwEREREREVFnwakZRC0ICgqCl5eXpHb58mWZ0hCRJRFFkSeydFCTJ09GSEiIpJaeno7q6mqZEhFZNv0mFU9pJyIiIiIiovbWv39/yTX7BkRkKvp9A3t7e/j5+cmUhu5zd3fHvHnzdCe9A/f6PGfPnpUxFZHl0u8bODo68lAhIiIiIiIiemzsCRCRXLKysiTXtra28Pf3lykN3efm5ob58+cbPHNkT4BIHvqHYNjb28PKykqmNERERERERPQo+EYXUQsEQUDfvn0lNTapiMgUysrKDAYoceBVx6BUKjF//nzY2NjoaqIo4uLFizKmIrJc+k0qnshCRERERERE7U2/b3D9+nWDv58SEbUH/YFXYWFhHOLSQYSHh2PEiBGSWlpaGurr62VKRGS52DcgIiIiIiKitqTfE7h16xaqqqpkSkNElkS/JxAaGsqeQAcRFhaGkSNHSmrp6em4e/euTImILJd+T4CHZxMREREREXUefNJF9BAceEVEctA/kcXZ2Rmenp4ypSF9Tk5OiImJkdQuXboEjUYjUyIiy6TValFXVyepceMKERERERERtbfo6GgolUrdtSiKSElJkTEREVkCURQNegdhYWEypSFjBg0aJNlspFKp+PsDkQw48IqIiIiIiIjaUq9evWBtbS2pJSUlyROGiCyGKIoGA694eHbHMmjQIEnPWK1WIzk5WcZERJappqZGcs2eABEREVkchWDeH0Rk1jjwiugh9Ade8aVkIjIFYw0qQeAfzjuSAQMGSK5rampw9epVmdIQWaa7d+9Cq9VKajyVhYiIiIiIiNqbvb09evToIamxd0BE7a20tNTghW1ubulYnJ2dDX5/OH/+PA/LIDIx/Z+V7BsQERERERHRk7CxsUGvXr0kNfYEiKi9lZeXo6qqSlJjT6BjcXR0RFRUlKR2/vx5qNVqmRIRWSb9QzDYEyAiIiIiIuo8OPCK6CH0J3vz4SMRtTetVmtwSjsbVB2Pn58fgoKCJLXt27cjIyNDpkRElke/QSUIAhwdHWVKQ0RERERERJaEvQMiMjX9gzJcXV3h4eEhUxpqzsCBAyXXpaWlWLt2LRobG2VKRGR59HsHPM2diIiIiIiInpT+3y054JyI2pt+T8DZ2RleXl4ypaHm6B+gXV5ejh9++AENDQ0yJSKyPPqHYLAnQERERERE1Hlw4BXRQ2RmZkquw8LCZEpCRJaisLDQoMnBnz0dk/7GFbVajQ0bNuDChQsyJSKyLPoNKkdHRygU/CsOERERERERtT/2DojI1PQ3t3Tt2hWCIMiUhpoTGhoKb29vSe3WrVtYuXKlwfNMImof+v+t8TR3IiIiIiIielLsCRCRqekfnh0WFsaeQAcUHBwMX19fSS07OxsrV65EdXW1TKmILIv+IRjsCRAREREREXUe3A1O9BD6L4+Hh4fLlISILIX+zx0vLy+4uLjIlIZaEh0djR49ekhqoihi9+7duH79ukypiCzHnTt3JNeurq4yJSEiIiIiIiJLUl1djdLSUkmNvQMiak9arRbZ2dmSGjfVdUyCIGDmzJmwsbGR1IuKirB+/XpotVqZkhFZBq1Wi+LiYkmNvQMiIiIiIiJ6Enfv3kVhYaGkxp4AEbUnrVZrMPCqa9euMqWhljTXE7hz5w7WrVsHjUYjUzIiyyCKosF+Au69IiIiIiIi6jw48IroIfRPZOGDYiJqb2xQdR6CIGD+/Pno27evwdrJkydlSERkWW7fvi25DggIkCkJERERERERWRL9gfWCICA0NFSeMERkEQoKCtDY2CipsXfQcQUFBeHZZ5+Fo6OjpF5QUGDwewgRta3S0lKDn5f+/v4ypSEiIiIiIiJzoP9OL8Bh9ETUvoqKilBfXy+p8edOxxUQEIDnn38eTk5OknpRURFu3rwpUyoiy1BWVmbw85L7CYiIiMjiCAAUgnl+CHL/j0tE7Y0Dr4geQv+lY57IQkTtSaVSITc3V1LjppWOTalUYubMmRgxYoSknpeXh9raWplSEZk/URQNBl4FBgbKlIaIiIiIiIgsiX7fICAgAHZ2djKlISJLoP9zx8fHx2DjBHUsAQEBePHFF+Hq6iqpX7t2TaZERJZBv2/g5uYGZ2dnmdIQERERERGROdB/Nufn52cw6JyIqC3p/9zx9PQ0eNZMHUuXLl3w4osvws3NTVLPyMiQJxCRhdDvCTg7O8PFxUWmNERERERERPSoOPCKqAVarZYDr4jIpPLy8qBWq3XXgiAgNDRUvkDUKoIgYMyYMbCxsdHVRFHE9evXZUxFZN6qqqoMhsrxRBYiIiIiIiIyhczMTMk1+wZE1N70+5U8KKNz8PDwwKBBgyS1jIwMiKIoUyIi86e/uYV9AyIiIiIiInpS+j0BPpsjovaWlZUluebPnc7B3d0dgwcPltQyMjKg1WplSkRk/vLz8yXXgYGBEARBpjRERERERET0qDjwiqgFhYWFaGxslNT4sJiI2pP+phV/f3/Y2dnJlIYehZWVFSIiIiQ1ntRO1H70N63Y29vDw8NDpjRERERERERkSTh4hohMSaVSIS8vT1ILCwuTKQ09qh49ekiua2pqDF6+J6K2o987CAwMlCkJERERERERmQsenk1EpqRWq5GTkyOpsRfZeXTv3l1yXVdXZ/DMkojaDnsCREREREREnRsHXhG1QP9EFjs7O3Tp0kWmNERk7goLC3H+/HlJjQ2qzkW/SXXr1i2oVCqZ0hCZN2MNKp7IQkRERERERKag3zvg5hYiai+iKCI+Ph4ajUZXUygUCA0NlS8UPRJPT094eXlJatevX5cpDZF5a2xsRElJiaTGzS1ERERERET0pPR7Anyvl4jaiyiK2LdvH9Rqta4mCAJ7Ap2Ih4cHfHx8JDX2BIjaR1NTE+7cuSOpsSdARERERETUuXDgFVELjJ3SzkEKRNQeSktL8cMPP6CxsVFSj4iIkCkRPQ5fX1/JtVqtRlNTk0xpiMwbT2QhIiIiIiIiuRjrHRARtTVRFHHw4EFcunRJUg8ODoatra1Mqehx6PcO6urqZEpCZN7y8/MhiqLuWqlU8kAzIiIiIiIiemL6PQEegkFE7eXQoUO4cOGCpBYUFAR7e3uZEtHjYE+AyDQKCwuh1Wp11wqFgj0BIiIiskyCYN4fRGTWOPCKqAU8pZ2ITKGqqgpr1qwxaGZERUUhODhYplT0OPRfbHBycoKDg4NMaYjMl1qtRmFhoaTGgVdERERERERkCmq1Gjk5OZIaewdE1B5OnDiB06dPS2pWVlaYMGGCTInocWi1WmRlZUlq+qe7E1Hb0D8ow8/PD1ZWVjKlISIiIiIiInNg7NkOD8EgovZw8uRJnDx5UlJTKpXsCXQyoiiyJ0BkIvo9AV9fX9jY2MiUhoiIiIiIiB4HB14RtYAnshBRe6urq8P333+PqqoqST0sLAxxcXEypaLHlZGRIbmOjIyEwCnCRG3uzp070Gg0umtBEBAQECBjIiIiIiIiIrIUeXl5UKvVkhp7B0TU1s6dO4fDhw9LagqFAvPnz+fg907m9u3buHv3rqTWvXt3mdIQmbf8/HzJNX9eEhERERER0ZMqKChAY2OjpMaeABG1tYsXLyIhIUFSEwQB8+bN4+HZnUx+fj5qa2sltcjISJnSEJk3/YFX7AkQERERERF1Phx4RdSCzMxMyTVPZCGitqRSqbB+/XqUlZVJ6gEBAVi0aBFPHO5k6uvrkZubK6lx0wpR+9BvUHl5ecHOzk6mNERERERERGRJ9PsGLi4u8PDwkCkNEZmjjIwMxMfHG9Rnz57NZ86d0PXr1yXXvr6+cHNzkycMkRkTRZGbW4iIiIiIiKjN6fcEHBwc4OvrK1MaIjJHN27cwO7duw3qM2fORM+ePWVIRE9Cvyfg5eUFT09PmdIQmS9jPQEenk1ERERERNT5cJIGUQtu3bolueaJLETUVkRRxI4dOwwesnp7e2Pp0qWwtbWVKRk9rps3b0Kr1equraysOCiRqJ1w0woRERERERHJxVjfQBAEmdIQkbkpLCzEli1bIIqipD5t2jTExMTIlIqeREZGhuSaJ7kTtY/KykrU1dVJauwdEBERERER0ZPS7wl07dqVPQEiajN37tzBpk2bDHoCU6ZMQd++fWVKRU9CvyfAg0yI2kdNTQ1qamokNfYEiIiIyGIphHsf5kg0018XEeko5A5A1FGJooiKigpJjQ0qImorR48eRVpamqTm5uaGZ555Bg4ODjKloieRnZ0tuQ4MDIS1tbU8YYjMXFFRkeSaJ7IQERERERGRqZSXl0uu2TcgorZSXV2N9evXo6mpSVIfO3YsBg0aJFMqehJ1dXUoKSmR1MLCwmRKQ2Te9PsGDg4OcHNzkycMERERERERmQ32BIiovdTW1mLdunUGPYFRo0ZhyJAhMqWiJ1FfX487d+5IauwJELUP/Z6AnZ0dPD09ZUpDREREREREj4sDr4iaIQgCoqOjJbV169bJlIaIzElycjKOHTsmqdna2mLJkiVwdnaWKRU9KVtbW8l1Xl4eKisr5QlDZMbUajXKysokNV9fX5nSEBERERERkaWJiYmRXF+6dAnXrl2TKQ0RmYumpiasX78e1dXVknpsbCxGjRolUyp6UlZWVlAqlZJaamqqTGmIzJv+RjJfX19uQiYiIiIiIqInpr+XIDU11eCwWyKiR6VSqbB+/XpUVVVJ6tHR0Rg7dqxMqehJKZVKWFlZSWrsCRC1D/2BV+wJEBERERERdU4ceEXUgmeeeUZyvWXLFoOHykREjyInJwc7d+6U1BQKBebPnw8fHx+ZUlFbGDRokGTjikajwd69e6FSqWRMRWR+iouLodVqddeCIHDgFREREREREZnMxIkTDf4eumrVKnnCEJFZ0Gq12LJlCwoLCyX10NBQzJgxgy9nd2K2trbo16+fpJaUlIRbt27JlIjIfOlvbvHz85MpCREREREREZmT8ePHw9/fX1JjT4CInoQoiti2bRvy8/Ml9eDgYMyaNYs9gU7MxsYGAwYMkNRSUlJw8+ZNmRIRmS9jh2AQERERERFR58OBV0QtWLp0qWTCfn19PTZt2iRjIiLqzMrLy7FhwwZoNBpJferUqejWrZtMqaituLm5YeDAgZLa9evXsXLlSlRWVsoTisgM6Teo3N3dYWNjI1MaIiIiIiIisjTW1tZYtmyZpLZmzRqDZ35ERK2VkJCAjIwMSc3T0xMLFiyQHLJAndPo0aNhbW2tuxZFEWvWrMHp06chiqKMyYjMCze3EBERERERUXtQKpV4+umnJbU1a9bwIFQiemyHDh3ClStXJDV3d3csXLhQsneJOqeRI0fC1tZWdy2KItauXYtTp06xJ0DUhvR7AjwEg4iIiIiIqHPiwCuiFnh7e2P69OmS2sqVK2VKQ0SdWX19PdauXYv6+npJfejQoQZDkqjz0m9SAUBBQQG++uorpKamslFF1Aa4aYWIiIiIiIjk9txzz0muCwoKcODAAXnCEFGnduHCBZw+fVpSs7e3x5IlS+Dg4CBTKmpLTk5OGDZsmKQmiiIOHDiATZs28cAMojbQ2NiIiooKSY29AyIiIiIiImor+j2B4uJi7Nu3T54wRNSpXb58GSdPnpTU7OzssHTpUjg6OsqUitqSo6Oj0Z7AwYMH8eOPP7InQNQGVCoVysrKJDX2BIiIiMiSCYJg1h9EZN448IroIfSbVKdPnzY4ZZmIqCUajQYbN240eKjavXt3TJw4UaZU1B4cHR0xf/582NjYSOp3797Fli1b8O9//xtXr17l4CuiJ8ATWYiIiIiIiEhuvXv3xoABAyQ1HpZBRI8qMzMTe/fuldSUSiUWLlwIT09PmVJRexg1ahR69OhhUL9y5Qo+++wz7NmzB9XV1TIkIzIPxcXFkmuFQgFvb2+Z0hAREREREZG56dGjB4YMGSKpsSdARI8qKysLu3btktQUCgUWLFgALy8vmVJRexgxYgSioqIM6levXsWnn36K3bt3o6qqSoZkROahuLhYsh9HEAT4+PjImIiIiIiIiIgel5XcAYg6umnTpsHHx0fykuTq1avx5z//WcZURNRZiKKIXbt2ITs7W1L38/PD3LlzoVBw9qS56datG15++WVs2LDBYMhZcXExNm7ciC5duiAmJgbV1dWoqKhAeXk5Ghoa4Ofnh5iYGHTv3h3W1tYy/QqIOi5RFFFUVCSp8UQWIiIiIiIiksPzzz+PCxcu6K537NiB8vJyeHh4yJiKiDqL4uJi/Pjjj9BqtZL6jBkzEBoaKk8oajf3B5kdO3YMR48elaxpNBqcP38ely9fRv/+/eHk5ITy8nKUl5ejoqICdnZ2iIyMRExMDF/WJ2qGft/Ay8sLVlZ8HYqIiIiIiIjazvPPP4/ExETd9a5du1BSUsKBy0TUKqWlpdi4caNBT2D69Ono2rWrTKmovSiVSsyfPx8nTpzAkSNHJIN5tFotLly4oOsJODs763oClZWVsLGx0fUE+H40kXH6h2d7enpy7w0REREREVEnxTe8iB7C2toay5Ytw0cffaSrff/99/jDH/4ApVIpYzLLYeNkK3cEosd28uRJJCUlSWrOzs5YsmQJbGxs5AlF7c7b2xsvv/wytm3bhoyMDIP1wsJCFBYWGtSrq6tx/fp1uLi4YNGiRfD39zdFXKJOo6amBvX19ZIaG7pEREREREQkh8WLF+ONN95AU1MTAKCpqQnr16/HK6+8InMyC+JhL3cCosdSW1uLdevWobGxUVIfOXIkYmNj5QlF7U4QBIwZMwb+/v7YunUrGhoaJOtqtRpnz541+Lzq6moUFxfj5MmTGDBgAKZNm8bDVIj06G9uYd+AiIiIiIiI2trChQuxYsUK3TMdtVqNdevWYcWKFTInI6KO7u7du1i7dq3BM+Hhw4ejX79+MqWi9iYIAkaNGoUuXbpg69atBu8+azQanDt3zujnlpSU4NSpU+jXrx+eeuop7lsj0sPDs4mIiIiIiMwH34QkaoXnnntOcp2fn4+EhAR5whBRp5Geno5Dhw5JatbW1liyZAlcXFxkSkWmYmdnh0WLFmHhwoWPfOp6dXU11q9fb9DcJLJ0+ptWbG1t4ebmJk8YIiIiIiIismju7u6YPXu2pLZq1SpZshBR56FSqbBhwwZUVlZK6r169cK4cePkCUUmFRkZiVdffRWDBw9+5E0qFy5cwOnTp9spGVHnxYFXRERERERE1N5cXV0RFxcnqa1cuVKmNETUWajVamzYsAEVFRWSes+ePTFhwgSZUpEpRURE4JVXXsHQoUNhZWX1SJ976dIlnDp1qp2SEXVe7AkQERERERGZDw68ImqF6Oho9O/fX1Jjk4qIWnL79m1s27ZNUhMEAXPnzkWXLl1kSkWmJggCevbsiZ/97GeYN28evLy8Wv25NTU1BgPTiCydsRNZBEGQKQ0RERERERFZuueff15yfeHCBaSlpcmUhog6OlEUsX37dty+fVtSDwwMxOzZs/mcy4I4OTlh6tSpWLFiBQYMGPBIg6+OHj2K8vLydkxH1LmIomiwucXPz0+mNERERERERGTO9HsCycnJSEpKkicMEXV4oihix44dyM3NldT9/f0RFxfHnoAFcXJywuTJk7FixQoMGjTokXoCx44dQ2lpaTumI+pcjPUEOPCKiIiILJ5CMO8PIjJrjzYenMiCPffcc7h48aLueufOndBoNI988i4Rmb/KykqsX78earVaUp80aRJ69OghUyqSkyAI6N27N6KiopCamoq0tDTU1dXB3d0dHh4e8PDwAAAkJiZKHsCfP38egwYNgre3t1zRiToUNqiIiIiIiIioI5k4cSL8/f1RUFCgq23fvh29e/eWMRURdVRHjhxBenq6pObm5oZFixbB2tpaplQkJxcXF0yfPh0jRozA6dOnUVBQABsbG13fwM3NDbdv38aZM2cgiiIAQK1WIyEhAQsWLJA5PVHHUFFRgaamJkmNvQMiIiIiIiJqD2PHjkVQUBDy8vJ0tW3btiE2Nla+UETUYR07dgypqamSmqurKxYvXsyegIVydnbGtGnTMHz4cJw+fRr5+fm6noC7uzvc3NxQUFCA06dP63oCGo0GCQkJWLRokczpiTqGqqoqNDQ0SGo8BIOIiIiIiKjz4sArolZ66qmn8Nprr+mu6+vrcffuXTg7O8uYiog6moaGBqxbtw51dXWS+oABAzBkyBCZUlFHoVAo0KdPH/Tp08foemhoKP71r39BpVLpaunp6RgzZoyJEhJ1bBx4RURERERERB2JUqnElClT8N133+lqJSUlMiYioo4qKSkJx48fl9RsbW2xZMkSODk5yZSKOgo3NzdMmzbN6FpUVBQ0Gg3Onj2rq12/fh1NTU2wsbExVUSiDku/b+Dg4MCfq0RERERERNQulEolpk6diq+++kpXY0+AiIxJSUnB0aNHJTUbGxssWbKE+48Irq6umDp1qtG1Xr16QavV4syZM7rajRs30NDQADs7O1NFJOqw9HsCdnZ2cHFxkSkNERERERERPSmF3AGIOgt7e3uDmv5JoURk2TQaDTZt2oTi4mJJPTw8HFOnToUgCDIlo87C3d0d/fv3l9SuXbsmUxqijkWlUqG0tFRS44ksREREREREJDf93gH7BkSkLzs7G7t27ZLUFAoFFixYAB8fH5lSUWcyZswYKBT/fbVDrVbj5s2bMiYi6jiKiook135+fuzJEhERERERUbtxcHCQXLMnQET6cnNzsWPHDklNEATMnz+fh7xSq4wZMwZKpVJ3rdFo2BMg+g9jh2ezJ0BERERERNR5ceAVUSsZOyGXTSoiuk8URcTHxyMzM1NS9/b2xvz58yVNB6KW9OjRQ3JdVFSEqqoqmdIQdRwlJSUQRVF3LQgCNwQSERERERGR7PR7B+wbENGDysrKsHHjRmg0Gkl92rRpCA8PlykVdTb29vYIDQ2V1DIyMuQJQ9TBGNvcQkRERERERNRerK2tJdfsCRDRg8rLy7FhwwaDnsDUqVMREREhUyrqbGxtbREWFiapsSdAdI9+T4CHZxMREREREXVuHHhF1EoceEVELUlMTMSFCxckNUdHRyxduhR2dnYypaLOKDg4GPb29pLajRs3ZEpD1HHoN6jc3d2N/vmMiIiIiIiIyJQ48IqImnP37l2sXbsW9fX1kvrQoUMxYMAAmVJRZ6V/WMbNmzeh1WplSkPUcXDgFREREREREZkSewJE1Jz6+nqsW7cOd+/eldQHDx6MQYMGyZSKOiv2BIiMKyoqklyzJ0BEREQEQBDM+4OIzBoHXhG1kv6JLACgUqlkSEJEHU1GRgYOHDggqVlZWWHx4sVwc3OTJxR1WgqFAt26dZPUrl+/LlMaoo5Dv0HFE1mIiIiIiIioI9DvHbBvQEQAoFarsXHjRpSXl0vq3bt3x8SJE2VKRZ1ZRESE5Lqurg4FBQUypSHqGBobG1FRUSGpsXdARERERERE7Ul/4BV7AkQEABqNBj/++CNKS0sl9YiICEyePFmmVNSZ6fcE6uvrcfv2bZnSEHUMTU1NBr1XDrwiIiIiIiLq3DjwiqiVjA28amxslCEJEXUkhYWF2Lx5M0RRlNTnzJmDwMBAmVJRZxcZGSm5vnXrFl+MIIvHU9qJiIiIiIioI9Lf3MK+ARGJoohdu3YhJydHUu/SpQvmzp0LhYItenp07u7u8Pb2ltR4WAZZOv2+gUKhgJeXl0xpiIiIiIiIyBKwJ0BE+kRRxJ49e5CVlSWp+/r6Yt68eewJ0GNxdXU1eE+aPQGydCUlJZJ9W4IgwMfHR8ZERERERERE9KT45IyolYw1pPSbVkRkWaqrq7Fu3TqDQUTjx49Hr169ZEpF5qBbt24QBEF3rVarDRqhRJZEFEUOvCIiIiIiIqIOqaGhQXLNvgERnThxAsnJyZKai4sLFi9ezJ8R9ET0D8vg5haydPp9Ay8vL1hZWcmUhoiIiIiIiCwBewJEpO/UqVO4dOmSpObk5IQlS5bA1tZWplRkDtgTIJIqKiqSXHt6esLa2lqmNERERERERNQWOPCKqJXKy8sNah4eHjIkIaKOoKmpCevWrUNNTY2kHhsbixEjRsiUisyFvb09goODJbUbN27IlIZIftXV1aivr5fUOPCKiIiIiIiIOgL93gH7BkSWLS0tDYcPH5bUbGxssHjxYri4uMiUisyF/uaWoqIiVFdXy5SGSH76m1vYNyAiIiIiIqL2xp4AET3oypUrSEhIkNSsra2xZMkSuLq6ypSKzIV+T6C4uBiVlZXyhCHqAHh4NhERERERkfnhwCuiVqqoqDCoubm5mT4IEclOq9Viy5YtBi9Rh4aGYsaMGRAEQaZkZE6MncoiiqJMaYjkpd+gsrW15Z/DiIiIiIiIqEPQ7x24u7vLlISI5JaXl4ft27dLaoIgYO7cuejSpYs8ocisBAUFwc7OTlLjYRlkyfR7B35+fjIlISIiIiIiIkvBngAR3Zefn4+tW7dKaoIgIC4uDv7+/jKlInMSEBAABwcHSe369esypSGSH3sCRERERM0QBEBhph/cq09k9jjwiqiV9E9kcXV1hVKplCkNEcnp4MGDyMjIkNQ8PT2xYMEC/lygNhMRESG5rqqqQmlpqUxpiORl7EQWDhckIiIiIiKijoCnuRMRcG+j24YNG6BWqyX1yZMno3v37jKlInOjUCjQrVs3Se3mzZsypSGSlyiKKC4ultR4mjsRERERERG1N/YEiAi49073+vXrDXoCEyZMQM+ePWVKRebGWE8gMzNTpjRE8hJF0eh+AiIiIiIiIurcOPCKqJX0T2Rhg4rIMp0/fx5nzpyR1Ozt7bFkyRKDEzSInoS3tzdcXFwktdzcXJnSEMmLDSoiIiIiIiLqqNg7IKKGhgasW7cOdXV1kvrAgQMxePBgmVKRudLf3JKbmwtRFGVKQySfiooKNDU1SWrsHRAREREREVF7Y0+AiBobG7Fu3TrU1tZK6v3798ewYcNkSkXmij0BonuqqqrQ0NAgqbEnQERERERE1Plx4BVRK+mfyOLu7i5Tkid3+fJljB49GsOHD8fJkyfljkPUady8eRPx8fGSmlKpxKJFi+Dp6SlTKjJXgiAgJCREUsvJyZEpDZG8ioqKJNdsUBEREREREVFHYS69A41Gg9/85jeIiYnBihUrDAZIEJFxGo0GmzZtQklJiaTerVs3TJ06FYIgyJSMzJV+36Curg5lZWUypSGSj37fwMHBAU5OTjKlISIiIiIiIkthTj2B3/3ud4iJicFrr71mMECCiIzTarXYvHmzwSGuXbt2xbRp09gToDan3xOor69HcXGxTGmI5KP/c9fOzs7gcHkiIiIiIiLqfKzkDkDUGWg0Gpw+fVpS66wnshQWFmL8+PG6E2YWLVqEzMxM2NraypyMqGMrLi7Gpk2boNVqJfWZM2caNBKI2kpISAhSU1N11xx4RZZIpVIZbNjy8/OTKQ0RERERERHRf924ccPgxcrO2jt477338P777wMAUlNTER4ejtdff13mVEQdmyiK2Lt3LzIzMyV1Hx8fzJ8/HwoFz56itufm5gYXFxdUV1frajk5OfDy8pIxFZHp6f8ZzM/PjxsKiYiIiIiIqF1lZmaioKBAUuusPYE///nP+OMf/wjgXk8gNDQUb775psypiDo2URSxb98+3LhxQ1L38vLCggULoFQqZUpG5szV1RVubm6orKzU1XJzc3lwMFkc/UMw2BMgIiIieoDwnw9zZK6/LiLS4Vu2RA9x7do1jBgxAt98842k3hkbVKIo4pVXXtENuwKA/Px8XLp0ScZURB1fbW0t1q5di8bGRkl91KhR6NOnj0ypyBIEBARIrquqqlBfXy9TGiJ5lJSUQBRF3bUgCPDx8ZExEREREREREVk6jUaDf/zjH4iJiUFdXZ1krTP2DpKTk/GHP/xBUtuxY4dMaYg6jzNnzuDixYuSmqOjI5YsWcKDZqjdCIJg0DvQf8mfyBLoD7ziBi8iIiIiIiJqL1qtFp9++iliYmJQU1MjWeuMPYG0tDS88847khp7AkQPd+7cOZw7d05Sc3R0xNKlS2FnZydTKrIEgYGBkuvCwkKZkhDJhz0BIiIiIiIi88SBV0TN0Gg0+Pvf/47Y2FgkJiYarI8ePVqGVE9m8+bN2LZtm0H9zJkzMqQh6hxUKhXWr1+PqqoqSb13794YO3asTKnIUty6dUtyrVAoYGNjI1MaInnob9by8PDgfwdEREREREQkm4yMDIwcORK//OUv0dDQIFnz8fFBjx49ZEr2eFQqFZ5//nmD+uHDh6HRaGRIRNQ5XLt2DQcPHpTUrKyssHjxYri5uckTiiyCSqVCbm6upMbNVGSJjJ3mTkRERERERNTWbty4gTFjxmDFihW4e/euZM3DwwO9evWSKdnjUavVeOGFFwzqJ06cgEqlkiERUedw/fp17Nu3T1KzsrLCokWL4O7uLlMqsgRqtRrZ2dmSmr29vTxhiGSkP/CKPQEiIiIiIiLzwIFXREYcO3YMw4YNw//+7/+isbFRsiYIAt5880389Kc/lSnd4yktLcUrr7xidO3GjRsmTkPUOdTW1mL9+vXIz8+X1AMDAzFr1iwIgiBTMrIEGo0GZ8+eldR69uwJpVIpU6KOT61Wo7i42OAUNerceCILERERERERdQRVVVV47733EBsba/QQibCwMOzduxfW1tYypHt8H3zwAS5fvmx0TX+QBBHdk5qaii1btkAURUl9zpw5BqdsE7W11NRU1NXVSWq9e/eWKU3nUFVVhZKSEqjVarmjUBtpaGhAZWWlpMbeAREREREREbWlmpoa/PGPf0SfPn1w4sQJg/WQkBDEx8fD1tZWhnSP7+OPP8b58+eNrum/K01E96SlpWHz5s0GPYFZs2YhKChIplRkKdLS0lBbWyupsSfQsurqavYEzExTUxPKy8slNfYEiIiIiIiIzIOV3AGIOpITJ07g3XffxZEjR4yud+vWDd999x1Gjhxp4mRP7i9/+QtKSkqMrnl6epo4DVHHl5mZiW3bthk0CNzc3LBo0aJOt3GNOp/09HRUV1dLasOGDZMpTcelVqtx6dIlZGRkICcnR9ecCgoKQp8+fdCrVy+eZNPJceAVERERERERyammpgaffvopPvzwQ1RUVBi957XXXsP7778PR0dHE6d7MhUVFXjvvfeaXffw8DBhGqKOr6mpCfHx8UaHxI0fPx69evWSIRVZElEUDYYuhoeH85mpEXfu3MGFCxeQmZmp2wRhb2+PXr16ISYmBkFBQTzYphMrLi6WXCsUCnh5ecmUhoiIiIiIiMxJbW0tPvvsM3zwwQcGgxXu+/nPf46//OUvcHZ2NnG6J1NdXY3f/e53za6zJ0AkpVKpEB8fj0uXLhmsjR07FtHR0TKkIktirCcQGhqKLl26yJSo4youLsb58+dx69YtlJWVAQDs7Ox0PYHg4GD2BDqx4uJiydBBQRDg7e0tYyIiIiIiIiJqKxx4RQTgzJkzeOedd5CQkGB0XRAE/OIXv8Af//hHODg4mDhd2zh8+HCza6GhoaYLQtTBaTQaHDlyBCdPnjRYs7W1xdKlS+Hk5CRDMrI0Fy9elFwHBwcjICBApjQd0927d/HDDz+goKDAYC0vLw95eXmIj49HREQEYmNjERERAaVSKUNSelyiKKKoqEhS4+YtIiIiIiIiMoXa2lp8/vnn+Pvf/97sppbw8HB89913GDVqlInTtY0zZ86gsbHR6Jqvry+HiBM9oKioCJs3b0ZpaanBWmxsLEaMGCFDKrI0ubm5BgccDR06VKY0HVdSUhJ27Ngh2fwAAPX19bhw4QIuXLgAd3d3xMTEoE+fPtzM2Qnp9w28vLxgZcXXn4iIiIiIiOjx1dXV4V//+hf+9re/GX0GCABhYWH49ttvMXbsWBOnaxtnz55FQ0OD0TUPDw+4uLiYOBFRx3Xnzh1s3rzZ6IHzffr06bS9Qepcbt++bXBoMA/PNpSamopt27ZBq9VK6g0NDbh48SIuXrwINzc3xMTEIDY2lj2BTkj/vwNPT09YW1vLlIaIiIioAxKEex/myFx/XUSkwze+yOKtWrUKzz//fLPrERERWLlyJYYPH27CVKYVGBgodwSiDqGiogJbtmzB7du3DdacnZ2xYMECngRAJqFSqQz+PRwyZIhMaTqmmpoarFmzxuAUb30ajQbXrl3DtWvX4ODgoGtW+fn5mSipcRUVFaisrISbmxvc3Nx4akwzqqurDV6ykfufHREREREREZm/qqoqjB8/3mAg+X2CIOD111/Hn/70Jzg6Opo4nWmwb0B0jyiKOH/+PA4cOAC1Wm2w3rdvX0yfPp3P98gksrOzJddeXl4IDw+XJ0wHdf78eezZs+eh91VUVODYsWM4duwYQkJCEBsbi6ioKNja2pogpXFqtRqFhYUA7g2etLGxkS1LR6e/uYV9AyIiIiIiInoS1dXVmDhxIs6dO9fsPa+++iref/99sz0wlz0BontEUcTFixexb98+oz2BPn36YMaMGewJkEno9wQ8PDwQEREhT5gO6uLFi9i9e7fBARj6Kisrcfz4cRw/fhzBwcHo27dvh+kJiKIIPz8/9gRaoH8IBnsCRERERERE5oMDr8jivf/++0br/v7+ePvtt/Hiiy/K+hCrrbTUYLt7964JkxB1TOnp6di5cycaGxsN1iIjIzF79mw4ODjIkIwsUX5+PjQaje5aEARuWnlAZWUlvv/+e5SXlz/S5929exeJiYlITEyEn58fYmNj0bdvX5P8Pq/VanHnzh1kZGTg6tWrks0Yjo6OCAoKQmxsLLp3785G+AP0N63Y2trC1dVVpjRERERERERkKQ4cONDssKu4uDi8++67iImJMXGqtse+AVHL6uvrsWPHDly7ds1gzdbWFtOnT0d0dLQMychS5eTkSK4jIiL4PPkBp06dwsGDBx/583JycpCTk4P4+HhERUWhf//+CAoKaoeEhu7evYusrCxcvXoVN27c0PUpFQoFfH19ERYWhqFDh8LZ2dkkeToL/d6Br6+vTEmIiIiIiIjIHBw+fLjZYVezZ8/Gu+++i9jYWNOGagfsCRC1rL6+Hrt27cKVK1cM1mxsbPDUU0+hT58+MiQjS8WeQMvOnDmD/fv3P/Ln5ebmIjc3F3v37tX1BIKDg9shoaH6+npdT+D69euSnoCPj4+uJ+Di4mKSPJ0FewJERERERETmiwOvyOI9OFDkvk8//RQvv/wy7OzsZEjUPlpqUulPOyeyJCqVCvv27TO6gU2pVGLixIkYPHgwmwNkUvo/l319fc1i+GJbKCsrw/fff4+qqipJ3dXVFZMnT0ZISAhu376NlJQUZGRkGD1hCbj3v/G+fftw5swZLFmypM0bHxqNBtnZ2cjNzUVeXh5u376NpqYmo/fW1dXh2rVruHbtGsLCwjBt2jR4e3u3aZ7Oyth/C/x5TERERERERO3NWN9g5syZeO+998xiU8t97BsQNS83NxdbtmwxeA4J3Ds0Z968efDw8JAhGVky/Z/NphrK1NGJooijR4/i2LFjBmsDBgxA//79YWdnh7S0NCQnJ6O0tNTo12lqakJSUhKSkpIwZMgQTJo0CQqFok2zVlZWIisrS9c7aC6LVqtFYWEhCgsLcfHiRYwePRqDBw+GUqls0zyd0f0DRh7EzS1ERERERET0JIz1BJ566in8/ve/R79+/WRI1D7YEyBqXl5eHrZs2YLKykqDtS5dumDevHnw9PQ0fTCyaOwJGCeKIo4fP44jR44YrPXr1w8DBw6Evb09UlNTkZKSgpKSEqNfR6VSITk5GcnJyRg0aBCmTJnSbj2BvLw85ObmttgTKCoqQlFRka4nMGTIEPYEcO+fN3sCRERERERE5osDr8jiDRs2DJmZmbrriRMn4rXXXpMxUftoqUml//CHyFIUFxdj8+bNKC4uNljz8PDAvHnz4O/vL0MysnTW1taS67q6OoiiaPGDfoqKirBmzRrU1dVJ6h4eHnjmmWfg5uYGAOjevTu6d++OhoYGpKenIzk5Gbm5uUa/ZlVVFb777jssXLgQXbt2bZOct2/fxubNm402vh8mKysL//73vzFo0CCMGTPGrIZvPg79P6P4+fnJlISIiIiIiIgsybBhwwxqv/3tb81q2BXQct+goqICjY2NHMJOFker1eLEiRM4evQoRFE0WB82bBjGjx/PF8xJFsZ6B5ZOFEXs27cPZ8+eNVgbO3YsRo0apeutjBw5EiNGjEBhYSGSkpKQmpqK+vp6o183MTERlZWViIuLg42NzRPn1Gg0OHDgAM6dO2f0Z0tLGhsbceDAAVy6dAlTp05FeHj4E+fpzCoqKqBSqSQ19g6IiIiIiIjoSQwdOtSg9pvf/Mashl0BLfcEamtrUVdXB0dHRxMmIpKfKIo4efIkjhw5Aq1Wa7A+ZMgQTJgwAVZW3HpHpqf/bJo9gXv/zR44cABnzpwxWBs9ejTGjBlj0BMoKirS9QTu3r1r9OueO3cOlZWVmDdvXpv1BBISEpCYmPjIPYGmpiYcPHhQ1xPo1q3bE+fpzKqqqtDY2CipsSdARERERERkPtp29DRRJzR69GjJ9cGDB3HixAmZ0rQfnspC9F+iKOLChQv46quvjA67iomJwU9+8hMOuyLZhISESK5rampQVlYmU5qOITc3F6tWrTJo1vn4+OD555/XDbt6kJ2dHfr3748XXngBr732GkaNGgUXFxeD+xobG/HDDz/g4sWLRhvWjyIpKQkrV65s1bCr5jbFabVaJCYm4rPPPsPly5cfudFlTngiCxEREREREckhODgYoaGhktr//d//GT3lvTNzdnZucd3Ys1Mic1ZdXY3vv/8eR44cMXgm5+DggKVLl2LSpEkcdkWy0e8dZGVlyZSkY9Bqtdi+fbvRYVeTJ0/G6NGjDQ4SEQQB/v7+mDZtGt58800sWLAAkZGRRk9tv3btGlatWvVYh1s8qK6uDmvWrMHZs2cf+rxfEIRmT5AvLS3FmjVrsHHjxifO1Jnp9w0cHR25GZeIiIiIiIieiL+/v8EwibfeesvsegIt7SUAeIA2WZ6amhqsWbMGhw4dMnh32MHBAYsXL8aUKVM47Ipkw56AlFarxc6dO40Ou5o4cSLGjh1rtCfQpUsXTJ06FW+++SYWLlyI7t27G30Of/36daxcuRIVFRVPlPPu3bv44YcfcObMmSfqCZSVleGHH37A+vXrnzhTZ6a/39He3v6h7zkQERERWRpBIZj1BxGZNz55I4s3Z84cvPnmm6iqqtLVpk+fjs2bN2PixIkyJmtbLTWpOnqDyt3pySfkE93X0NCAnTt34sqVKwZrNjY2mDZtGvr06WPwsJvIlDw9PeHi4oLq6mpdbcOGDejfvz/69OkDBwcHGdOZ3vXr17Fp0yaDE7v9/f2xbNmyVv3v4enpiXHjxmHMmDHIysrCkSNHcPv2bd26VqvFrl27cPDgQURERGDw4MEIDAxsdUatVosDBw4gMTGxxfs8PDwQGRmJnj17IigoCJWVlcjKysKxY8ck/7yBe5tgduzYgYsXL2Lq1KkICAhodR5zoFKpDAa9ceAVERERERERmcoLL7yAd955R3d95MgRzJ07F2vXrjWboQqt2dwSFBRkojSPzirMXe4IZEauX7+O7du3Gz3ZOSwsDHFxcXx5mmTXtWtXpKSk6K6vXbuGLVu2oF+/fggNDbWo3lZjYyO2bduGa9euSeqCIGD69Ono37//Q7+GlZUVoqKiEBUVhdraWly+fBlHjx6VbGYtKCjAxx9/jC5duiAqKgqDBw9+pNPdi4qKsGHDhhYHVFlbWyM4OBg9e/ZEjx49YGNjg8LCQly+fBlJSUkG91+9ehU3btzAiBEjMHz4cFhbW7c6jznQ39zi6+trUf/uExERERERUft48cUX8dZbb+mujx8/jjlz5mDdunUPfZbeWbSmJ9C1a1cTpXl0gXY8xJjazs2bN7Ft2zaDQ3iBe0OG5s6da/SAXSJTCgsLw+XLl3XX169fx+bNm9G/f3+L6wk0NTVh27ZtuHr1qsHaU089hYEDBz70ayiVSvTs2RM9e/ZEbW0tkpKScOTIEUlPoLCwEJ988gn8/Px0PQFbW9tW57xz5w42bNjQ4oAqKysrSU/Azs4OBQUFSEpKQlJSksGQrIyMDGRmZmLYsGEYOXKkxfUEjB2ebUn/7hMREREREZk7Drwii+fh4YF3330Xv/zlL3W16upqTJ06Ff/+97/x8ssvy5iu7bTUpNJ/KZTIXN2+fRubN282+lK5n58f5s2bBy8vL9MHI9IjCALCwsKQnJysq5WWlmL//v1ISEhAjx49EBsbi65du0KpVMqYtH1pNBokJCQYPYklNDQUixcvfqQmEgAoFAqEh4cjJCQE27ZtQ3p6umS9oaEBqampSEtLw/jx4zF8+PAWmyL19fXIz8/H6dOncevWLYN1Hx8fdOvWDUFBQQgKCjL4/djDwwMeHh6Ijo7GyZMncerUKYOT4W7fvo1vvvkGffv2xfjx481mU+3DFBcXS5p2giDAx8dHxkRERERERERkSd5880189dVXkoHZO3bswOjRo7Fr1y506dJFxnRt42FDxNk7IEugVqtx6NAho88gFQoFxowZgxEjRjR7ujKRKYWFhUmutVotUlNTkZqaCg8PD/Tt2xfR0dFwc3OTJ6CJFBQUYPPmzSgvL5fUFQoF4uLi0Lt370f+mk5OThg5ciSCgoKwYcMGNDQ0SNYLCwtRWFiIlJQULFq0CJ6ens1+La1Wi9LSUmRlZSEhIcHgMA8rKyt0795d1zfw8/Mz6PWEhIQgJCQEAwYMwN69e1FQUCBZV6vVOHr0KJKSkjB58mT06NHDYjZ46G9u8fPzkykJERERERERmZMVK1bgiy++QE5Ojq62a9cujBo1Crt374a/f+cftmRnZweFQgGtVmt0nT0BsgQajQaHDh3C6dOnDdYEQcDo0aMxatQo9gSoQzDWE0hLS0NaWhrc3d11PQF3d/M+JKioqAibNm0yOERZoVBg9uzZiImJeeSv6eTkhBEjRuh6AvX19Qbfs6ioSNcTaGmP0f2eQHZ2NhISEtDU1CRZVyqV6N69O4KDg1vdE8jPz5esq9VqHD9+HMnJyZg0aRKioqLYEyAiIiIiIiKzwIFXRABeffVV7NixA8eOHdPVNBoNli9fjps3b+L999/v9A+tWxp4pf8AiMjciKKIU6dO4fDhw0YbtYMHD8bEiRNhZcXfFqnjiI6Olgy8uk+j0SA9PR3p6elwcHBAr169EB0djaCgoE7duKisrMSRI0eQlZUF4N6GD5VKhZqaGoN7IyMjMX/+/Cc6ocTKygrz5s2Dm5sbTp06ZbAuiiISEhKQn5+Pbt26QRAE3Ud9fT0KCgqQn59vsKHmQUOGDMGkSZNa9WcIGxsbjBs3DrGxsdi/fz8yMjIM8ly6dAlXrlzB2LFjMXDgwE7/Z5OH0f/ziYeHB2xsbGRKQ0RERERERJbGwcEB33zzDWbMmCEZVHHx4kUMHjwYe/bsQXR0tIwJn5xSqYSDgwPu3r1rdJ29AzJ35eXl2Lx5s8EgGQBwdXXF3LlzERwcLEMyIuNcXV0RHByM3Nxcg7Xy8nIcOnQIhw4dQnBwMKKjo9GrV6+HDjfsyERRxOXLl3Hp0iVUVlbCysoKSqUSlZWVBgdHWFlZYeHChYiIiHii7xkaGooXX3wRa9euNXqATklJCb7++muMGjUKdnZ2ur6BKIooLS1Ffn4+CgoKDDa03Ofi4oJFixa1epNsYGAgXn75ZVy+fBkJCQkGv2dXVlZi48aN6Nq1K6ZOnQpvb+9H/jV3NsZOcyciIiIiIiJ6Uvb29vj2228xbdo0yd/rL1++jMGDB2P37t3o06ePjAmfnCAIcHJyQnV1tdF19gTI3FVUVGDz5s0Gg2SAe8/t5s6di5CQEBmSERnn7OyMsLAw3bv1D6qoqMDhw4dx+PBhBAUF6XoCnflQZVEUkZycjAsXLrSqJzB//nx07979ib5nSEgIXnrpJaxdu9bonoDS0lJ8/fXXGD169GP1BJydnbFw4UIEBga2Kk9AQABeeuklJCUlISEhAXV1dZL1qqoqbNq0CWFhYZg6dapFHCStP5CTPQEiIiIiIiLzwskeRACsra0RHx+PZ599Fps2bZKs/e1vf8PNmzfx3nvvoVevXp1imMiVK1dQX1+P2NhY3eT3lgZeFRUVQRTFTvFrI3pUNTU12LZtG27dumWwZm9vj1mzZqFHjx4yJCNqWXh4OGbPno3jx483O1Tp7t27OH/+PM6fP4/AwEAsWLAALi4uj/09GxsbkZOTg4aGBnTp0sUkGyPuD3Lav39/s82eB8XExGDWrFkGJ5s8DkEQMHHiRPj7++PkyZMoLCw0uOfq1au4evXqI31dpVKJ6dOno2/fvo+cycPDA4sXL8aNGzewb98+g9NoGhoaEB8fj8uXL2PhwoVmfSoPG1REREREREQkt8mTJ+PAgQOYM2eOZOhFXl4ehg8fjs8++wxxcXFwdnaWL2QrNTQ04MyZM+jVq5fkxVcnJ6dmB17xNHcyZ8nJydizZ4/RZ5I9e/bEzJkzYW9vL0MyopYtWLAABw4cQHp6usEGj/tyc3ORm5uL/fv3Y+LEiRg8ePBjf7/7mzYKCwtha2uLsLAwkxxMUFVVhZ07dyIzM/Oh99rZ2WHx4sVtthnN29sbL7/8Mg4fPoz09HQ0NDRI1hsaGnDgwIFH/rpBQUFYuHBhi317YwRBQL9+/dCzZ08cPXoU586dgyiKkntu3bqFf//73xgzZgxGjhxptn3/hoYGg0Fk7B0QERERERFRWxk/fjwSEhIwe/ZsyTubt2/fxogRI/Dpp59i7ty5T/SOpqnc7wlERUVJ/u7c0sAr9gTInKWmpmL37t1obGw0WOvevTtmzZrVqQ8PIPM1d+5cHDx4EGlpac32BPLy8pCXl4f9+/djwoQJGDp06GN/P1EUUVZWhoKCApP2BKqrq7Fr1y7cuHHjoffa2tpi0aJFCAsLa5Pv7enpiZdeeknXE6ivr5esNzY2PlZPIDAwEAsXLnzkdwkEQUDfvn0lPQGtViu5JysrC1988QVGjRqF0aNHm21PoKmpCRUVFZIaewJERERERETmhQOviP7D3t4eGzZsQLdu3fD+++9L1rZu3YqtW7ciPDwcs2bNwuzZszFs2LA2GbbRlurq6vDyyy9j/fr1AIBnn30Wq1atAtDywKuGhgbU1NR0igYc0aO4fv06tm/fbnTDVkhICOLi4uDq6ipDMqKHEwQBsbGx6NOnD3JycnDp0iVcuXIFarXa6P23b9/GDz/8gBdeeAF2dnaP9L1KSkqQkJCAGzduSBoivr6+iI6ORu/eveHm5vYkvxyjHmXDipWVFSZNmoSBAwe2eVOmV69e6NWrF6qrq3Hx4kUcP37cYLNIazk5OWHRokWtPomlOREREQgLC0NiYiKOHz9usPGuqKgI33//PV588cVH3hzTWeifGOfn5ydTEiIiIiIiIrJkY8aMQWJiIqZNmyYZql9TU4PnnnsOy5cvx/jx4zF79mzMmDEDXbp0kTGtcYcOHcKSJUtQXFwMZ2dnHDlyBP379wdw71lGcXGx0c/jae5kjhobG7Fnzx6kpKQYrFlZWWHy5MkYMGCA2b4YTp2fk5MT4uLiMGXKFCQnJ+PSpUsoKSkxeq9arUZ8fDyUSiUGDBjwSN9Ho9HgwoULOH36NKqqqnR1GxsbdO/eHdHR0QgPD2/zfvn9E9zj4+ONbj7TFxgYiLlz57b54RCOjo6YMWMGpk2bhtzcXOzbt++Jfl/s168fpk2bBiurx39Fx97eHlOnTkW/fv0QHx+P7OxsybpWq8Xhw4ehUCgwYsSIx/4+HZn+PwOFQmGSw1uIiIiIiIjIcowcORKJiYl46qmnJEM3amtr8cILL+CnP/0pxo0bh1mzZmHmzJnw9/eXMa1xR48exaJFi3Dnzh04Ojri8OHDGDRoEICW9xOwJ0DmqLGxEfHx8UhKSjJYUyqVmDRpEgYNGsSeAHVYTk5OmDNnDiZPnoyUlBRcunSp2d6uRqPB/v37oVQqdT/3W0ur1eLixYs4deqU5NABa2trXU+gW7du7dITSElJQXx8vMHhE8YEBARg7ty58PDwaNMcDg4OmD59uqQn8CSDIGNjYzF9+vQn6gnY2dlhypQpup5AVlaWZF2r1eLo0aNQKBQYNWrUY3+fjqy4uFiyp0MQBMnhXkRERET0H8J/PsyRuf66iEiHA6+IHqBQKPDnP/8Z3bp1w09+8hODoSKZmZn46KOP8NFHH8HLywszZszArFmzMHHiRNlPdMjMzMTMmTNx5coVXW316tX4+OOP4ebm9tCp8MePH8f06dPbOyaRSajVaiQkJCAxMdFgTRAE3UkGCoVChnREj0YQBISGhiI0NBRTp05FamoqUlJScPv2bYN7i4uLsWHDBixbtuyhDRKtVovKykqcPXsW58+fNzj5A7j3AsOdO3eQkJCAoKAgREdHIyoq6okGLFVVVSEnJwc5OTlGT0Y3xsvLC/PmzWv3gUcuLi4YO3YsgoKCsHnz5lZlA+5thOvSpQtCQ0MxePDgNhtAZWVlhREjRiAmJgYHDx5EamqqZL2iogJr167Fc889B1tb2zb5nh2FKIoGL9DwRBYiIiIiIiKSS/fu3ZGYmIjZs2fj9OnTkrWmpibEx8cjPj4eP/nJTzBkyBDdwRk9evSQKfE9oijiww8/xP/8z//oajU1NVi5cqVk4FVzTp48CY1G0+EO/yB6XPn5+di8ebPBScCA6Z5BErUVBwcHDB06FEOGDMHt27eRlJSEK1euGJw8DgB79uyBk5NTq35famhoQG5uLg4ePGh0kFZTUxNSU1ORmpoKe3t7REVFoXfv3ggJCXnsvptarUZBQQFycnJw48YN5ObmPvRzBEHA8OHDMXbs2Hb9fUqpVCIsLAwvvvgidu7cibS0tFZ/rqurKwICAhATE4Pu3bu32aY5X19fPPvss0hPT8eBAwdQXV0tWU9ISICTkxNiY2Pb5Pt1JPp9A29vb/45hYiIiIiIiNpcREQEzpw5gzlz5uDEiROStaamJuzbtw/79u3Dz372MwwaNAizZ8/GrFmz0LNnT1mH5oiiiE8++QRvvPGGrlZXV4fvvvtON/ikpf0Ep06dYk+AzEpBQQE2b96M8vJygzVPT0/MmzevQx5kQ2SMg4MDhgwZgsGDByM/Px9JSUlIT0832hOIj4+Hk5MToqKiHvp1GxsbdT0BY4O0VCoV0tLSkJaWBjs7O11PIDQ09LF7AhqNRtITyMnJeejnCIKAYcOGYdy4ce36+5RCoUBoaChefPFF7Nq1y+gBOs253xOIjo5Gjx492uzPBD4+PnjmmWdw9epV7N+/X3JICQAcPnwYzs7O6Nu3b5t8v45Ef+iYl5fXEw0RIyIiIiIioo6Hf8sjMuKFF15ASEgI5s6da/Aw6L7S0lKsXLkSK1euhIODA95++2289dZbsjSqsrKyMGTIEJSWlhqs3T/59mHDN9544w1MnDjR7AZmkOUpLS3F5s2bjZ6o4OLigri4OISGhpo+GFEbsLe3x6BBgzBo0CCUl5cjLS0NFy5ckGxmyM7Oxueff45u3bqhS5cu0Gg0UKlUUKlUqKurQ0VFBcrLy1FZWWl0yFVz8vLykJeXh/j4eISEhKBnz57o2bMnXFxcDO5taGhAYWEhKisrUV1drfsoKSmRnPpiTL9+/RAVFQW1Wg2NRgNnZ2cEBgaadEDd/cGX586dQ35+PkRRlHwoFAr4+PjA398fAQEB8PHxadfmmYuLC+bOnYsBAwZg165dkt/vCwsLsXHjRowaNQo+Pj6yD+BsK9XV1QYDxzjwioiIiIiIiOTk7e2NQ4cO4bnnnsPGjRubvS8xMRGJiYl46623MHDgQKxcuRK9evUyYdL/+s1vfoO//OUvBvX7fQOg5d7B5cuX8e2332L58uXtko/IVERRxKlTp3D48GGjz0T79euHKVOmwMbGRoZ0RE9GEAQEBQUhKCgI06ZNw82bN5GcnCw5JEkURWzatAkhISHo2rUr7O3tdX2DxsZGVFVVoby8HBUVFbh7926rv3d9fT0uXryIixcv6gZq9ezZE6GhoQbPzEVRRFlZGYqLiyV9g6qqKhQWFhocRPUgZ2dnTJgwAfb29tBoNBBFEcHBwW12+ERr2NjYYO7cuejevTtSU1PR0NAArVYr6R04OjoiICAAAQEB8Pf3b9d8giCgd+/eiIyMxIkTJww23+7cuRMqlQqhoaHw9PQ0m0OAeFAGERERERERmYqnpycOHjyIF198EWvXrm32vnPnzuHcuXP4zW9+g/79+2PlypWIjo42YdL/evfdd/GHP/zBoP7ge3gtPa9ITU3FF198gVdeeaVd8hGZiiiKOHPmDA4dOgSNRmOwHhsbi2nTprEnQJ2SIAgIDAxEYGAgpk6diszMTCQnJyM9PV13jyiK2Lx5s64n4ODgoOsJNDU1obKyUref4FF6Ag0NDbh06RIuXboER0dH9OjRA1FRUa3uCdTU1Oh6AiqVqtnvo98T0Gq1CA4ObnFoY1uztrbGnDlzEBkZidTUVNTX10MURUlfwNHRUbeXICAgoN17AlFRUejWrRtOnjyJEydOQBRF3fquXbugUqkQFhYGDw8PsxleyZ4AERERERGR+ePAK6JmjB8/HsnJyfjwww+xfft25OXlNXvv3bt38fbbbyM/Px+fffaZyV8Y/dWvfmV02BVwbxMO8PCBVzdv3sQHH3yAt99+u83zEZmCKIq4fPky4uPjjT4A79GjB2bOnGk2w2CIPDw8MGrUKERHR+Pbb79FbW2tbq2yshIXLlxol+8riiKys7ORnZ2N+Ph4BAYGomfPnlAqlcjPz0dBQQHKysoe+es6Oztj5syZiIiIaIfUj87d3R2TJ0+WO4ZESEgInnvuOXz77beoqKjQ1W/duoVbt24BuPe/Y1hYGEaPHg1PT0+5oj4x/aGFdnZ2cHV1lSkNERERERER0T12dnZYt24dZs6cidWrV+PIkSMtvox7/vx5jB49GgkJCYiNjTVdUABpaWn429/+ZnQtODhY9/8/rHfw1ltvYe7cuZ36OQNZtpqaGmzbtk33/OxBdnZ2mDFjhmxD6YjamlKpRPfu3dG9e3ccPnwYx48f161pNBrJs+S2VltbiwsXLuDChQuwt7dH9+7dERISgtLSUhQUFKCgoEAycLG1+vTpgylTpsDe3r4dUj8aQRAQHR0t26ZVY2xsbDB+/Hg4ODhg//79urpWq8WePXsA3Pv3wsfHB/369UP//v079fAr/d6Bn5+fTEmIiIiIiIjIEtja2mLNmjWYMWMGVq5cicOHD7fYE7h48SLGjBmDgwcPol+/fiZMCly7dg1/+tOfjK49Sk/gt7/9LebPnw8fH582zUdkKrW1tdi2bRsyMzMN1mxtbTF9+vQO9XyP6EkolUpERkYiMjIS3t7eOHr0qG5Nq9UiKysLWVlZ7fK96+rqdAdi2NnZoXv37ggNDUVZWZluP8Hj9ARiYmIwderUDtMT6N27N3r37i13FB0bGxuMGzcOjo6OiI+P19W1Wi327t0L4L89gb59+6J///6deviV/sAr9gSIiIiIiIjMDwdeEbUgJCQEn376KT755BNcvnwZO3bswI4dO5CcnGz0/n/9619oamrCl19+abIXRRMTE7F161aja926ddPl0G9QKRQKDB48GGfOnNHV/vSnP2HZsmUICQlpv8BE7aChoQG7du2SnExxn5WVFSZPnowBAwZAEAQZ0hG1L3d3dyxduhSrVq16rMbQfVZWVhg2bBiGDx8Oa2tr5OTkIDU1FVevXkV9fX2zn3f79m3cvn37sb8v0LE2rHR0Tk5OWLZsGb799lujp+rU1NQgJSUF6enpGDp0KEaNGtUpT6EydiILf4YTERERERFRR6BQKLBkyRIsWbIEVVVViI+Px44dO7B3715UV1cb3F9WVoZx48bhwIEDGDBggMly/uY3v4FWqzW69uDmFv2TcEeMGIGTJ0/qrsvLy/Gb3/wGX375ZfsEJWpH169fx/bt240+RwsKCsLcuXPh5uZm+mBEJjB27FjU1NTg8uXLT/R1unTpgilTpiA4OBh1dXVIT09HWlpai4dF1dfXIykpCUlJSY/9fZ2cnDB9+nT06NHjsb+GJRk6dChqampw+vRpgzWNRoPCwkLs2bMHFy5cwNSpUxEaGmr6kE9Iq9WiuLhYUuNp7kRERERERNTeBEHAwoULsXDhQlRXV0t6AlVVVQb3l5eXY/z48di/fz8GDRpkspxvv/12q3oC+vsJhg8fjlOnTumuKysr8etf/xrfffdd+wQlakc3b97Etm3bUFdXZ7AWGBiIuXPnwt3dXYZkRO1v9OjRqKmpwcWLF5/o6/j5+WHy5MkIDQ3F3bt3dT2B3NzcZj+noaEBycnJze6zaw1HR0dMnz4dPXv2fOyvYUkGDx6M2tpanDhxwmDtfk+gsLBQ1xMICwuTIeWTEUXR6H4CIiIiIjJCAGCu+y7N9JdFRP/FgVdErSAIAvr164d+/frhvffeQ1ZWFnbu3IkdO3bg2LFjkgbRN998A5VKhW+//bbdJ6GLooj/+7//a3b9wQZVaWmpwed+9tlnGDRokC5/fX093njjjWYHaBF1RHl5ediyZQsqKysN1nx8fDBv3jyeNERmr0uXLli2bBm2b9+OsrKyR/pcW1tb9OjRA2PHjpVs7goLC0NYWBieeuopZGZmIi0tDdeuXUNTU9MT57W3t0dwcDBCQ0MRHh7O/0YfkaenJ5YuXYrVq1c3+89Do9Hg5MmTSE5OxoABAxAbGwtXV1cTJ318bFARERERERFRZ+Dq6opFixZh0aJFaGpqwtGjR7Fjxw5s374dBQUFuvsqKip0G1yGDBnS7rlOnjyJXbt2NbseFBSk+//1ewejR4+Gv78/fvzxR13t66+/xosvvmjSzTlET0KtViMhIQGJiYkGa4IgYNSoURg9erTJDq8hkoMgCJg+fTrs7Oxw9uzZZjc8Nve53t7eGDJkCGJjYyUHLA0ePBiDBw9GZWUl0tPTkZqaiqKiojbJ6+Pjg5CQEISGhqJbt26d8jAHOU2cOBG1tbVISUlp9p47d+5g1apViIyMRP/+/dGtW7dOc7p7RUUFVCqVpMbeAREREREREZmSi4uLbvhVU1MTjh07pusJ5Ofn6+6rrKzEhAkTEB8fj+HDh7d7rpYOzwZa3k8wfPhwhISEYN26dbraypUr8fLLL2Po0KFtH5aoHajVahw6dEhyEPx9giBgxIgRGDNmTKd5Dkb0OARBwFNPPQVbW1skJiY+ck/Ay8sLQ4YMQd++fXU9AUdHRwwaNAiDBg1CVVUV0tLSkJaWhsLCwjbJ7Ovri5CQEISEhCAiIoI9gUc0btw41NTUtHj4SHFxMVavXo2IiAj0798fERERneZnYWVlpcFh8OwJEBERERERmR8OvCJ6DGFhYVixYgVWrFiBTZs2YcmSJVCr1br11atXQ6VSYfXq1bCyar//zOLj43H8+PFm1x/ctPJgIwoAYmJi0L9/f/zsZz/DP//5T11927ZtiI+Px9SpU9s+MFEb0mq1OHHihMHQufsGDhyISZMmwdraWoZ0RKYXFBSEV199FXfu3MGtW7eQlZWFuro6WFtb6z5sbW3h7u4ODw8P3f+1t7eH0MIEZ6VSicjISERGRkKlUiEzMxNXr15FRkYGGhoaWvw8Ly8vuLq6wsXFBc7OznBxcYG/vz98fHxa/J70cAEBAfjZz36GkydPIj8/HyUlJdBoNAb31dTU4MiRIzh69Ci6du2Kvn37okePHu3655O2oL9Bys/PT6YkRERERERERK1jY2ODSZMmYdKkSfjrX/+KGTNm4OjRo7r16upqTJo0CXv37sWIESPaLcfDDsoA/ru55fbt2wY9htjYWPz0pz/Fnj17dCdgi6KIV155BYmJiZ3mBViyXKWlpdi8ebPRATwuLi6Ii4tDaGio6YMRyUCpVGLy5MkYPXo0srKycOvWLRQWFkIQBEnvwMnJSdc3cHd3h5ub20OfIbu5uWH48OEYPnw4ysrKcPXqVVy9elWyudMYZ2dneHh4SPoGHh4eCAoKgr29fVv+8i2OIAiYM2cOwsPDkZqaijt37qCmpsbovdevX8f169fh5OSEmJgY9O3bF97e3iZO/Gj0f647OjrCyclJpjRERERERERk6WxsbDBx4kRMnDgRf/3rXzFr1iwcOnRIt15TU4PJkydj7969GDVqVLvlaE1P4P5+gsLCQhw5ckSy1rdvX6xYsQI7d+5EbW2trv7zn/8cFy5cYE+AOryysjJs3rzZ6AAeZ2dnxMXFISwsTIZkRKanUCgwadIkjBo1CtnZ2bh165bukCYbGxtJT+DB/QSt6Qm4urrqegLl5eW6nsDt27db/DwnJyd4enrq+gEuLi5wd3dHUFAQHBwc2uzXbokEQcCsWbPQtWtXpKSkoLi4GNXV1UbvvXHjBm7cuAFHR0f06dMHsbGxHf7Acv3Ds+3t7eHs7CxTGiIiIiIiImovHXunO1EnMH/+fNjY2GD+/PmSE0XXrVsHlUqFtWvXtsvAHY1Gg1//+tct3nN/08rdu3exZcsWydrSpUsBAH/4wx/w448/oqSkRLf2+uuvIz09nRPyqcOqrq7G1q1bkZ2dbbBmb2+PmTNnomfPnqYPRiQzQRDg5+cHPz8/DBs2rM2/vrW1NXr06IEePXpAo9EgOzsbV65cQW5uLpRKJbp06YKAgAD4+/vD19eXLzu0M3d3d8yYMQPAvSGA5eXluHz5MhITEw2GX4miiMzMTGRmZsLOzg5Dhw7FiBEjOuQ/o6amJpSXl0tqPJGFiIiIiIiIOhMnJyfs2bMHs2bNQkJCgq5eU1ODKVOmYPfu3RgzZky7fO+dO3fi9OnTLd4TGBgI4F4fQxRFXd3FxQVPPfUU7O3t8c4770g2yVy4cAHffvstli9f3i65iZ6UKIq4fPky4uPjJf26+3r06IGZM2fy5XmySHZ2dujZs2e79c48PT0xYsQIjBgxAlVVVbh27RquXbuGqqoqeHh4wN/fH/7+/ggICOBmhHYmCAL69OmDPn36AADq6+uRl5eHw4cPGx0EWFtbi9OnT+P06dMIDg7G1KlT0aVLF1PHbhX9zS08KIOIiIiIiIg6CkdHR+zatQtz5szB/v37dfW6ujpMmTIFu3btwvjx49vlez/s8GzgvwOv1q9fLzlg2MnJSffM9L333sObb76pW0tKSsKXX36Jn//85+2Sm+hJiaKI5ORk7N27F01NTQbrkZGRmD17NnsCZJHs7Ox07/u3Bw8PD93wq+rqaly9elXXE3B3d9f1A/z9/eHi4tIuGegeQRAQExODmJgYAPd6Ardv38bhw4eNDgKsq6vT9QSCgoIwdepU+Pv7mzp2qxg7PJsHrhMREREREZkfDrwiagOzZs3C9u3bERcXh8bGRl1906ZNaGpqwsaNG2Fra9um33PdunVITU1t8Z77A6927twpOb1VEAQsWbIEwL1hGX/729/w/PPP69Zv3ryJAwcOYPr06W2amagtXL16FTt37kR9fb3BWkhICOLi4uDq6ipDMiLLolQqER4ejvDwcLmjEO6dyuPl5YWJEyeib9++2LdvH27evGn03oaGBhw5cgQ3btxAXFwcPDw8TJy2ZSUlJZLNtoIgdPhTZIiIiIiIiIj0OTg4YNeuXYiLi0N8fLyuXldXh2nTpmHnzp2YMGFCm35PtVqNt956q8V7fHx8YGdnB1EUsWbNGsna/PnzYW9vDwD4xS9+gZUrV+LatWu69X/+858ceEUdUkNDA3bt2oX09HSDNSsrK0yePBkDBgzgS9BEJuDq6orBgwdj8ODBckch3DsoKDIyEt26dcPFixdx+PBhoz1WAMjNzcU333yD8ePHY+jQoR3uZ6b+wCselEFEREREREQdib29PbZv34758+dj9+7dunp9fT2mT5+Obdu2YcqUKW36PVtzeLaHhwecnJwAwKAnMHfuXN0woNdeew3fffed5BnrP//5Tw68og6poaEBu3fvRlpamsGalZUVJk2ahIEDB3a451tE5sjFxYU9gQ7E3t4eERERCA8Px+XLl3Ho0CHcvXvX6L15eXn45ptvMG7cOAwbNgwKhcLEaVvGngAREREREZFl6Fh/GyXqxO5vULGzs5PUd+zYgbi4ODQ0NLTZ92poaMDvfvc7Sa13795wd3eX1O4PvNJvUI0fPx4BAQG662eeeQaxsbGSey5fvtxmeYnagkqlwu7du7Fx40aDF7EVCgXGjRuHZ599lsOuiMjieXl5YdmyZXj55ZcxYMCAZodu3r59G1988QWOHj2K0tJSE6dsnv6JLJ6enrC2tpYpDREREREREdHjs7Ozw7Zt2zBz5kxJ/f4GlwcHYbWFVatW4erVq5La6NGjJdf3+wbJyckGGwGefvpp3f9vY2ODv//975L19PR0yaEfRB1Bbm4u/v3vfxsdduXj44Ply5dzYwsRWTyFQoGBAwfiF7/4BWbMmIGgoCCj92k0Ghw4cACrV6/GlStXoFKpTJy0efq9A25uISIiIiIioo7Gzs4OW7ZswZw5cyT1hoYGzJo1C7t27WrT7/fDDz8YHJ7dXE8gLS0NSUlJkrUHewLW1tb44IMPJOtXr15tdnA2kVzuv/dqbNiVl5cXXnrpJQwaNIg9ASKyaAqFAv3798eKFSswc+bMZnsCWq0WCQkJWLVqFdLT09HU1GTipM3jwCsiIiKiR6AQzPuDiMyaldwBiMzJpEmTsGfPHsyYMUMyBX3v3r2YOXMmtm/frjsJ5XGVlpZi7ty5yMnJkdTfeecdLFiwQFILCgpCXl4e9u/fL6k/2KAC7j3MGjlypKSRZWxjAJFciouLsXnzZhQXFxusubq6Yu7cubqmLBER3RMQEICAgABMnjwZV69eRVJSEm7duiW5p6mpCUePHsXRo0fh6+uL6OhoDB48WNYBU2xQERERERERkTmxtbXFpk2bsGTJEmzZskVXb2xsxOzZs7Fp0yaDgViPY8OGDXj11Vcltb59+2Lo0KE4duyYrhYUFARRFPHNN99I7g0ODsbIkSMltVGjRkmuNRoNbty4gd69ez9xXqInpdVqceLECRw9ehSiKBqsDxw4EJMmTeIgdSKiB9ja2qJ///7o378/SkpKkJSUhOTkZNTW1kruy87ORnZ2NqytrREZGYnBgwfL2outr69HVVWVpObn5ydTGiIiIiIiIqLm2djYYOPGjVi2bBl+/PFHXb2pqQlxcXHYuHEj4uLinvj7bNq0CT/96U8ltejoaIwcObJVPYGAgACMGTNGUtPvEYiiiGvXrqFv375PnJfoSWm1Wpw6dQpHjhyBVqs1WO/fvz+mTJnCngAR0QNsbW3Rr18/9OvXD6WlpUhKSkJSUpJBTyA3Nxe5ubm6nsCgQYMQEhIiU+p771KUl5dLauwJEBERERERmSeF3AGIzM24ceOwb98+ODk5SeoHDx7E9OnTUVdX99hf++rVqxg8eDCOHz8uqY8aNQoxMTEG93/88cfo2bMnNBqNrubg4GC0UdarVy/J9ZUrVx47J1FbEEUReXl52LNnD7766iujw6569eqFn/3sZxx2RUTUAmtra8TExOCZZ57B8uXL4enpafS+O3fuICEhAd98842sJ7Nx4BURERERERGZGxsbG2zYsAGLFi2S1JuamjB37lzJIKxHJYoi3n33XSxevBiNjY2Stb/+9a+4ffu2pFZUVIShQ4fin//8p6S+bNkyKBTStqGLiwsCAwMlNfYOSG719fW4ePEivvnmGxw5csRg2JW9vT0WLVqEp556ihtbiIha4O3tjYkTJ+KNN97AiBEjIAiGp2KqVCqkp6fju+++w4ULF2RIeY9+n1ipVMLLy0umNEREREREREQts7a2xtq1a7Fs2TJJXa1WY8GCBdi4ceNjf21RFPHHP/4RCxYsQENDg2TtL3/5C/Lz8yW1kpISDB8+HJ988omkvnTpUiiVSknN0dERoaGhkhp7AiS3hoYGXLp0Cd9++y0OHTpkMOzKzs4OCxYswIwZM9gTICJqgZeXFyZMmIA33ngDo0aNarEnsHLlSpw7d06GlPfo9wQUCgW8vb1lSkNERERERETtyUruAETmaOTIkThw4ACmTJmC6upqXf3IkSOYOnUq9uzZA2dn50f6mgcOHMCCBQsMTi51dHTEZ599hpKSEoPP+eqrrwxqs2fPNhjGBQBRUVGS64yMDKjValhZ8ccEmVZ5eTlSUlKQkpJiMJX/Pmtra0ydOhV9+/Y1+qCViIiM8/f3x09+8hPs27cPly5dMnrPnTt3sG7dOjz99NOwsbExaT5RFA0GXvFEFiIiIiIiIjIHVlZW+OGHH2BtbY01a9bo6mq1GgsXLsQPP/xgMBDrYerr6/H8888b3RyzaNEiTJw4ER9++KGkfubMGaNfS3/jzX1RUVGSoVnp6emPlJGoLWg0Gty4cQMpKSnIyMiQHPTyoJCQEMTFxcHV1dXECYmIOi+lUokJEyagW7du2Lp1q+T9hgft2bMHdnZ26N27t4kT3hvY+SAvLy+DTblEREREREREHYmVlRVWrVoFa2trrFy5UlfXaDRYsmQJVCpVs8/lm9PQ0IAXX3wR69atM1ibN28epk6din//+9+SemJiotGv1VJPIDs7W3fNgVckB41Gg5s3b+p6Amq12uh9wcHBmDt3LnsCRESPQKlUYty4cQgPD8fWrVsN9ijet3fvXtjZ2SEmJsbECQ0Pz/b09OTeRiIiIiIiIjPFv+0RtZOhQ4ciISEBkyZNQmVlpa5+4sQJTJo0Cfv27Wv1w/V//etfeP311w1e4A8ICMCuXbsQExODO3fuwMrKqtkH+sC9U63/53/+x+haeHi45LqpqQk5OTkGdaL2UF9fj/T0dCQnJyMvL6/Fe/38/DBv3jye2ktE9JhsbGwwc+ZM9OvXDykpKbhy5Qpqa2sl9+Tl5WHjxo2YO3cuHBwcTJatqqrK4OQ5X19fk31/IiIiIiIiovakVCqxcuVK2NjY4Ntvv9XVNRoNli5dCpVKhaeffrpVX6uoqAizZs0yerLqz3/+c3z88ccA7m1O2b9/f4tfa/78+ejZs6fRtW7duuHAgQO66+vXr7cqH9GTEkUR+fn5SE5ORnp6Ou7evdvsvQqFAmPGjMGIESOgUChMmJKIyHyEhobi1Vdf1fUNsrKyIIqibl0URWzduhWCICAqKsqkhxLxoAwiIiIiIiLqjJRKJb755htYW1tLDrHWarV45plnoFKp8Pzzz7fqa925cwdz5swxeqjF8uXL8fnnn+v+zr579+4Wv9acOXMQHR1tdK1bt26S64yMjFblI3pSoiiioKAAycnJSEtLa7EnIAgCRo8ejVGjRrEnQET0mEJCQvDKK68gNTUV6enpyM7Ohlarldyzfft2KBQK9OrViz0BIiIiIiIiahcceEXUjgYOHIjDhw9j4sSJKCsr09UTExMxYcIE7Nu3D56ens1+vlqtxhtvvIHPP//cYG3AgAHYsWMH/P39AdwbBvHjjz/ipZdeQnl5ueRepVKJxYsX47e//S26d+9u9Htt377doNZSNqInpVardSeyX79+vdkT2e8TBAGDBw/GhAkTOJ2fiKgNBAYGIjAwEFOmTEFubq7Bye2ZmZn46KOPEB0djYEDB+r+zNGe9BtUdnZ2cHFxaffvS0RERERERGQqSqUSX331FaytrfHFF1/o6lqtFs8++ywaGxvx0ksvtfg1kpOTMWPGDIPDAxQKBT755BO8+uqrutof/vAHZGVlGe0BhIaG4v/+7/+a/X4qlcpgYwz7BtTeKioqkJKSgpSUFElvrTnu7u6YM2cOgoODTZCOiMi82djYYMCAARgwYADq6upw8uRJyUZarVaLTZs2wdvbGwMHDkSfPn1ga2vb7rn0ewc8KIOIiIiIiIg6C4VCgS+++AI2NjaS/QCiKOKFF15AY2MjfvrTn7b4NVJTUzF9+nTk5uYafO0PP/wQK1as0A2hePfdd5GZmYktW7YYfJ2QkBD87//+L15++WWj30etVmPXrl2SGg8npvZWWVmJlJQUJCcnt6on4Obmhjlz5iAkJMQE6YiIzJuNjQ369++P/v37o66uDqdPn8apU6d061qtFps3b8bRo0cxcOBAxMbGmqQnUFRUJLlmT4CIiIioFUw3n5SIqE1xYghRO+vbty+OHDmCCRMmoLi4WFe/cOECevbsiffffx/PP/+80dMlnnnmGaxfv96gPn/+fKxatQoODg6S+pw5czB27Fj8/e9/xxdffAGVSoWlS5fif/7nf9C1a9dmM6rVavz973+X1CZPngw3N7dH/NUStUwURdy+fRspKSlIS0tDfX39Qz/H09MTMTExiImJgbu7uwlSEhFZFoVCgdDQUDz99NP47rvvJD+b1Wo1Ll++jMuXLyMgIAA9evRA165d0aVLl3Y5GUu/QeXn52fSE2GIiIiIiIiITEGhUOBf//oXbGxs8Omnn+rqoiji5Zdfxu7du/HRRx8Zfa6fnJyMESNGoLa2VlJ3cXHBxo0bMWXKFEnd0dER27Ztw7Fjx/DOO+/g5MmTiImJwa9+9SssXLiwxcMF1q9fb7CBZuHChY/zSyZqUX19PdLT05GSkmLw75wxSqUSkZGR6NOnDyIiIqBUKk2QkojIsjg6OmLSpEnQarU4e/asZK2kpAR79+5FQkICoqKiEB4ejq5du8LR0bHNc2i1Wsl7FgA3txAREREREVHnIggCPv30U9jY2OCjjz6SrP3sZz/Dnj178I9//APdunUz+Nz09HQMHz4cNTU1krqzszPWr1+Pp556SlJ3cHDA5s2bceLECbzzzjs4fvw4evfujV/96ldYtGgRrK2tm825adMmZGVlSWrsCVB7aGho0PUEcnJyHnq/UqlERESErifAg7OJiNqeo6MjJkyYAK1WKzkIAwBKS0sRHx+PQ4cO6XoCYWFhcHJyavMcoijyEAwiIiIiIiILwid9RCYQHR2No0ePYty4cZJBDiUlJXjppZfwxRdf4LPPPsOQIUN0a1lZWUaHXf3ud7/D//t//08yZKK4uBhFRUVwcXGBq6srfv/73+P3v/89ALTqJf8ff/wR2dnZktqvf/3rR/1lEjWrvLxcdyJ7eXn5Q+93cHBA7969ERMTg4CAAA47ISIyAW9vbyxbtgyrV69GU1OTwXp+fj7y8/Nx6NAh2NnZITIyEpMmTWrTZhUbVERERERERGQpBEHAxx9/DBsbG3zwwQeStR07dmDfvn341a9+hbfeeksyPOLTTz81GHYVFhaG3bt3IyoqSldTqVS4efMmBEGAm5sbBg0ahKNHj0KtVre4oeU+rVaLv/71r5LasGHDMGLEiMf55RIZ0Gg0uHHjBpKTk3H9+nVoNJqHfk5wcDBiYmLQq1cv2NvbmyAlEZFlEwQBU6ZMQUNDA5KTkw3Wm5qakJSUhKSkJAD3nukPHToUsbGxbZahvLwcKpVKUvPz82uzr09ERERERERkCoIg4IMPPoCNjQ3+8pe/SNZ2796NAwcO4Je//CXefvttyft4n332mcGwq5CQEOzatQvR0dG6mlqtxs2bNwEArq6uGDBgAA4fPtzqnoAoiga5Bg0ahDFjxjzqL5XIqPs9gZSUFGRkZLSqJxAUFKTrCegfFE9ERG1PEARMmjQJDQ0NuHz5ssG6sZ7AkCFD0Ldv3zbLUFlZabCPgT0BIiKi/8/enUdHVd//43/OZN/3kJCEkABJCCEhLAKyBwgGkoALUEApbrXVavVrq621WrV1qbba6kfFiooLIgpCSEhAVgHZlywkkJWQhRCy78vM3N8f/Jxy505IIDNzJ5nn4xzO8b7e9973K+IxM/d13683ERHR4MWGV0QmMnr0aBw4cABxcXGoqKgQjZ08eRJTp07F7Nmz8Zvf/AZLlizB/v37Jff48ssvsWrVKgDXHvqnpqbivffew+7duyXnuru7Iy4uDi+//DLGjBnTY176ClSTJ0/GrFmzbuGnJPqftrY2nDt3DpmZmSgvL+/1fCsrK4SHhyM6Opo7shMRySQgIACPPPII9u/fj9zc3B5fKujo6EBWVhZqamrw4IMPGuz/2Wx4RURERERERJZEoVDgH//4B2xtbfHqq6+Kxjo7O/H3v/8d77//Ph544AH8+te/xogRIyS1g4CAABw7dgw+Pj4AgPLycqxduxYfffQRqqurRefa2NggNDQUDz/8MB5//HHY2tr2mFtqaipyc3NFsT/+8Y/cnID6RRAElJeXIzMzE+fOnUN7e3uv13h6eiI6OhrR0dHw9PQ0QZZERHQ9hUKBJUuWYNiwYThy5Ahqamp6PPfKlSvYunUrbGxsbviOws3QrRs4OzuLmoESERERERERDRQKhQKvvvoqbG1ttRtb/6yrqwuvv/46PvzwQ9x///349a9/jbCwMOzbt090nr+/P44fPw5fX18AQGVlJdauXYu1a9dKvkPb2NggJCQEDz30EJ544gnY2dn1mFtGRgaysrJEMdYEqL8EQUBFRYW2JtDW1tbrNR4eHoiJiWFNgIhIJgqFAsnJyQgKCsJPP/3Ua01g27ZtsLa2FjXi7I+qqirRsaOjo0E35yYiIiIiIiLzwoZXRCYUFhaGo0eP4re//S22bdsmGd+/fz/2798PPz8/SeOI6dOnY9WqVdBoNPjggw/w5ptvorS0tMe5GhoasGXLFmzbtg2PP/44XnzxRbi7u0vO27FjB7Kzs0UxFqjoVqlUKuTn5yMrKwsFBQV93pE9JiYGkZGR3JGdiMgMeHl54e6778aCBQtw+vRpnDx5Ek1NTXrPraysxL59+zBv3rx+z9vV1YW6ujpRjDuyEBERERER0WCnUCjwt7/9DeHh4fj973+Pq1evisbr6+vxz3/+E//85z8xadIkFBcXi8Y///xz+Pj4oLCwEH/+85+xefPmHp/Ldnd348KFC/j973+P//73v/j3v/+NBQsWSM4TBAGvvfaaKBYVFYVFixb186clS1VXV4esrCxkZWVJnv/o4+DggKioKERHRyMwMJA1KyIimSkUCkyYMAHjx49HSUkJjh8/jgsXLkAQBL3nb9++HYGBgXBzc+v33LqLW7hRBhEREREREQ1kCoUCL730EsLCwvD0009LmlQ1NDTg7bffxttvv41JkyYhPz9fNP7pp5/C19cXxcXFeO6557B582aoVCq9c3V3dyM/Px/PPPOMtiaQkJCg91zdmkB4eDgWL17cj5+ULNmt1ATGjBmDmJgY1gSIiMyAQqHA+PHjERsbi4sXL2prAhqNRu/5qampCAwMhIeHR7/n1rd5Nn8vEBERERERDV5seEVkYoGBgdi6dSt27tyJ3/3ud7hw4YLkHN2XNgFgxYoVuHz5MlavXo3du3f3eT61Wo133nkHX331FV577TXcf//9UCqV2vHXX39ddH5ERASSk5Nv4iciSycIAi5duoSsrCycO3cOHR0dvV7j5eWFmJgYjB071iAPNYmIyPCcnZ0xc+ZMTJ8+HUVFRSgsLERxcbFk4e3hw4cRGRmJoUOH9mu+6upq0eIYhUIBHx+fft2TiIiIiIiIaCBQKBRYvXo1kpOT8dJLL+Hdd9/V27TqxIkTouMhQ4Zg2rRp+OKLL/Doo4+ipaWlz3NeuHABd9xxB5KTk/Gvf/0LI0aM0I4dPHgQR48eFZ3/7LPPimoLRL1pa2vDuXPnkJmZifLy8l7Pt7KyQnh4OKKjozFq1CjJxjBERCQ/hUKB0NBQhIaGorGxEXl5eSguLsbFixfR1dWlPa+jowOpqalYtWpVv+fUt7iFiIiIiIiIaKBbtWoVEhMT8corr+Df//633qZVujUBb29vzJo1C19//TUeeeQRNDc393m+goICLFy4EImJiXj77bcxcuRI7djhw4dx8OBB0fmsCdDNam9v19YEysrKej3fysoKYWFh2pqAtTWXthERmRuFQoGQkBCEhISgqalJVBPo7OzUntfZ2YnU1FTcd999/Z6TNQEiIiKiW6BQXPszGA3Wn4uItPhUkEgmCxYsQFZWFt5991288cYbkuYR15s4cSKCgoIQExNzw/Nu5OrVq3jooYewZcsWbN26FTY2Njh06BAOHTokOo8FKuqrmpoa7e4rDQ0NvZ7v6OiIqKgoxMTEYOjQoeyyT0Q0QCiVSowaNQqjRo0CAFRUVODjjz/WNqcSBAHnzp3rd8Mr3QKVl5cXbGxs+nVPIiIiIiIiooHE3d0db7/9Nh5++GH84Q9/wI4dO254/ptvvomHH34YX3zxxS3PmZKSgoyMDKSkpGDBggUApBtlBAcHY/ny5bc8B1kOlUqF/Px8ZGVloaCgQG/jNl3Dhg1DTEwMIiMj4eDgYIIsiYjIENzc3DBlyhRMmTIFarUaW7Zswblz57TjhYWFaG9v7/f/23VrB35+fv26HxEREREREZG5cHNzw1tvvYWHHnoIzzzzDLZv337D899880385je/wWeffXbLc6ampmLXrl34/vvvsXDhQgDAG2+8ITonICDAIE2safBTqVQoKChAZmbmTdUEoqOjMWbMGNYEiIgGEFdXV0yePBmTJ0+GWq3Gtm3bkJWVpR0vLi5GW1sbHB0d+zVPVVWV6Jg1ASIiIiIiosGNDa+IZGRra4unn34av/3tb7Flyxa8//77kgZUDg4OGD9+PJKTk/XeY8KECXj88cexbNkyqFQqNDQ0oLGxEd988w3efPNNUdd0ANixYwdSUlJw9913SwpUgYGBWLlypWF/SBpUWltbkZOTg6ysLFRUVPR6vrW1NcLDwxETE4MRI0ZwR3YiokEgICAAgYGBol242tvb+31fLlohIiIiIiIiuiYyMhJpaWkoKCjA2rVr8cknn6C+vl50zpIlS/Dyyy+jsLBQcr2joyNWr16Nxx57DGFhYWhsbERjYyOKi4vx/PPPS3aF7+rqwpNPPom8vDycPXsW6enpovHf//73bEpNPRIEAZcuXUJWVhbOnTuHjo6OXq/x8vJCTEwMxo4dCw8PDxNkSURExmRlZYX58+eLGl4JgoDOzs5+LVxsb29HY2OjKMbd3ImIiIiIiGiwiYiIQEpKCoqKirB27VqsW7cOdXV1onOSkpLw2muvIT8/X3K9o6Mj7rvvPjz22GMIDw/X1gQuXryI559/HseOHROd39XVhSeeeAILFy5ETk6OpNHW008/DVtbW8P/oDQoCIKAsrIybU2gL++Oenp6IiYmBtHR0awJEBENAlZWVoiPjxc1vBIEAe3t7f1qeNXZ2Sl5L4I1ASIiIiIiosGNDa+IzICdnR1WrFiBFStWIDs7Gx988AHS0tJga2uLP/zhD3oLAQEBAfjss88wd+5cKBQKbdzFxQVBQUGIioqCk5MT/vSnP0mutbKyQnZ2NlJTU0VxFqhIn+7ubuTn5yMzMxOFhYXQaDS9XjN8+HBER0cjMjIS9vb2JsiSiIhMpaOjQ1JMsrOz6/d9dXdkYYGKiIiIiIiILN2oUaPw1ltv4ZVXXsE333yD//73vygqKsKcOXPwu9/9Dvfdd5/kmgcffBBvvfUW3N3dtTEfHx/4+Phg5MiRmDRpEqKjo1FeXi667ufNCnQ3yvD29sYDDzxg+B+OBrza2lpkZmYiKysLDQ0NvZ7v6OiIsWPHIjo6GkOHDhXVtoiIaODLy8uTxPpbO9DdKMPKygre3t79uicRERERERGRuRoxYgT+8Y9/4KWXXsK3336Ljz76CIWFhZg1axaefPJJ3H///ZJr1qxZg3/961+iJkLX1wQmTpyImJgYXLp0SXSdtfW1ZUT/+Mc/RHEPDw88/PDDRvjpaKCrra1FVlYWsrKyJO+P6uPo6IioqChER0cjICCANQEiokEmNzdXEuvv2rHq6mrRsVKphI+PT7/uSUREREREROaNDa+IzMzYsWPx/vvvAwDq6+sRGBgoeUCzePFirFu3Dl5eXj3e51//+pfeZlfx8fFITk7GL3/5S1Hc09MTDz30kCj21YGiW/0xDGqo5613eKdbIwgCSktLtbuvdHZ29nqNj48PoqOjER0dDTc3NxNkSUREcti9ezdaWlpEsdGjR/frnoIgSBausOEVERERERER0TUODg5Ys2YN1qxZAwB48cUXMW3aNAQFBWnPcXV1xUcffYTly5f3eJ/KykrccccdkmZXtra2ePvtt1FUVIRNmzaJxn73u99JdmH951sH+vkTGYb7WD+5U7A4ra2tyMnJQVZWFioqKno939raGuHh4YiJicGIESO0jdWIiGhwaWhowL59+0Sx4OBgODg49Ou+unUDHx8f/i4hIiIiIiKiQc/BwQGrV6/G6tWrAQB/+9vfMG3aNAQHB2vPcXFxwYcffoiVK1f2eJ+qqiokJCRIml3Z2NjgnXfeQWlpKTZs2CAae/zxx+Hs7CyKJSsS+/sjGcTttyfJnYLFaWtr09YEdGtL+lhbWyMsLAwxMTEYOXIkn+MQEQ1SjY2N2LNnjygWFBQEJyenft1Xd/Nsb29vbZNOIiIiIiIiGpz4rY/IjH300Udoa2tDaWmpNvb666/jmWee6XGXC41Gg2effRZvvfWWZGzZsmX4/PPP0dzcLFm08sQTT0gKVGR5qqurkZ2djaysLDQ2NvZ6vpOTk3ZHdn9/f+6+QkQ0yJWWluLkyZOi2MiRIzFs2LB+3bexsVHSXNHPj4tWiYiIiIiIiHS1t7fjgw8+gEajEdUOzp49i5CQkB6vO3/+PBYsWCBZ2OLi4oKtW7ciLi4Ozz//PDQajXbM2dkZjz32mOF/CBpQurq6kJ+fj6ysLBQWFor+G+nJ8OHDER0djcjIyH7v5EtEROZNEASkpqaiq6tLFJ87d26/782NMoiIiIiIiMjSdXZ24r333oMgCLh48aI2fubMGYwYMaLH6woKCrBgwQKUlJSI4s7OztiyZQvmz5+Pl156CWq1Wjvm6OiIxx9/3OA/Aw0s3d3d2ppAQUFBn2oCwcHBiImJYU2AiMgCCIKAtLQ0yXv/rAkQERERyUj5//8ZjAbrz0VEWmx4RWSmuru78e6774pid911F5599lnJuR0dHdi7dy8OHDiA3bt34/Tp05JznnjiCbz99ttQKpXYsmWL6IVTW1tbLlqxYLW1tcjJyUFOTg6uXr3a6/k2NjaIiIhAdHQ0RowYAaWSnxiJiCyBSqVCSkqKKGZra4vExP7v4Ka7I4uDgwNcXFz6fV8iIiIiIiKiwearr76SPMc9ffq03mZXRUVF+OGHH3DgwAHs2LEDTU1NonE/Pz+kp6dj3LhxAIDvv/9eNP7AAw/Aw8PDsD8ADQgqlQqFhYXIycnBhQsX0N3d3es1Pj4+iI6ORnR0NNzc3EyQJRERmYPs7GwUFhaKYhMnTuz3RhmAtHbAjTKIiIiIiIjI0mzcuFHS/OHYsWN6m10VFxdrawLp6eloaGgQjfv6+mLHjh2YMGECAGlN4Je//CW8vb0N+wPQgKBSqVBUVKStCeg2NtfH29tbWxNwd3c3fpJERGQWzp07h/z8fFEsNjYWw4cP7/e9dT/zsCZAREREREQ0+LHhFZGZOnXqFCoqKkQx3WZXgiDg008/xZ///GfJy57Xe+211/Dss89CoVAAkBao5s6dywKVhWloaMC5c+eQk5ODy5cv93q+QqFASEgIoqOjMXr0aNjZ2ZkgSyIiMic//vgjamtrRbG4uDiDvKygb0eWnz+3EBEREREREdH/bN26VXQcHx+P2NhYUay8vBxPPfUUvvvuux7vM2rUKOzcuVPbKCs/Px+5ubmic5YvX26YpGlAUKvVKCkpQU5ODvLy8iS78urj5OSEsWPHIjo6Gv7+/nyeQ0RkYVpbW5GRkSGKubi4YN68ef2+t0ajQXV1tSjG3dyJiIiIiIjI0ui+8z9nzhzcdtttolhlZSWeeuopbNq0qcf7jBgxAjt37tQ2yiopKUFmZqboHNYELItGoxHVBDo6Onq9xsnJCVFRUYiJiWFNgIjIArW1tSE9PV0Uc3Z2Rnx8fL/vLQiC3vUERERERERENLix4RWRmTp37pzoODw8XFKgWrt2LX7zm9/0eA8rKyt8/PHHWLNmjTbW0dEhecC0ZMmSfudL5q+lpUXb5KqsrKxP1/j6+iImJgZjx46Fq6urkTMkIiJzdeXKFRw6dEgUCwgIkHw26c/9r8cdWYiIiIiIiIj0060d3HfffaLjzs5OzJw5EyUlJT3eY9KkSUhLS4OPj482pttIa8iQIZgyZUr/EyazptFocOnSJeTk5CA3NxdtbW29XmNjY4OIiAhER0djxIgRUCqVJsiUiIjM0c6dOyW/OxYtWgR7e/t+37uurg4qlUoU4+IWIiIiIiIisjS91QS6urowa9YsFBYW9niP8ePHY8eOHaLv1bo1AW9vb0ybNq3/CZNZEwRBWxM4d+5cn2oC1tbWopqAlZWVCTIlIiJztGvXLrS2topiCxcuhIODQ7/vXV9fj66uLlGMNQEiIiIiIqLBjw2viMxUXl6e6HjMmDGScz744IMer/fz88O6deuwcOFCUXzPnj1oaWnRHisUCixevLif2ZK5amtrQ15eHnJycnDx4kUIgtDrNa6uroiKikJ0dDSGDBnC3VeIiCycRqNBSkoKNBqNNqZUKpGcnGywBY1VVVWiYxaoiIiIiIiIiKTa2tpQWloqiunWDnbt2nXDZldLly7FJ598AmdnZ1Fcd5f4xYsXs5HRICUIAioqKrQLWpqbm3u9RqlUIiQkBGPHjsXo0aNhZ2dngkyJiMicFRYWIisrSxSLjIxERESEQe6vWzdwcXGBk5OTQe5NRERERERENBB0dHSguLhYFNOtCezdu/eGza7uuusufPbZZ3BxcRHFdWsCSUlJsLbm0qLBSBAEVFZWIicnBzk5OX2qCSgUClFNwBDNzYmIaGArLi7G2bNnRbGIiAiMHj3aIPfX3TzbyclJ8k4DEREREfVAobj2ZzAarD8XEWnxqTSRmdJteKX7EKi0tFTyAqm/vz8eeOABzJo1C9OnT9fbJV23QHX77bezqcQg09nZifPnzyMnJwdFRUWiBiU9cXJywpgxYxAVFYWgoCA2uSIiIq3jx4+joqJCFJsxY4bBPj90dXWhvr5eFONnEyIiIiIiIiKpCxcuiDY1UCgUCA8PF52TmpoquW7lypWYNWsW5syZg1GjRknGKysrcfToUVHszjvvNFDWZA4EQcCVK1e0C1oaGhp6vUahUGDYsGGIiopCZGQkm4wQEZFWV1eX5DOHvb29ZDOu/tBd3MK6AREREREREVmagoICyTvguo2mt2/fLrluxYoV2ppAWFiYZLy6uhqHDh0SxVgTGFwEQUB1dbW2JqD7fmZPgoODERUVhdGjR7PJCBERaXV3d0s+c9jZ2WHhwoUGW3umb/NsrmsjIiIiIiIa/NjwishM9dbwSvcFUisrK1y6dOmGu6uo1WqkpKSIYixQDQ7d3d3Iz89HTk4OCgoKoFKper3GwcEBo0ePRlRUFIYPHw6lUmmCTImIaCCpr6/Hnj17RDFvb2/MmDHDYHNUV1dLFuv6+PgY7P5EREREREREg4Vu3SA4OBiOjo7aY0EQJLWDF154AS+99NIN77tt2zbRsaurK+Li4vqZLZmDmpoa7YKWmpqaPl0TGBiobXLl6upq5AyJiGgg2rt3r6R5Ynx8vEEXQrLhFREREREREVk63ZpAQECA6JmtIAiS5hN//OMf8dprr93wvikpKaL39ZycnDB//nwDZExyq62t1dYErl692qdrAgICtDUBNzc3I2dIREQD0b59+yTNE+fPn2/QWjJrAkRERERERJaJDa+IzFB7ezsuXrwoiuk2vNItUP3iF7+4YbMrADh8+LCkeMGGVwOXSqVCUVERcnJycOHCBXR1dfV6ja2tLSIiIhAVFYURI0bAysrKBJkSEdFA9PMi2e7ublE8OTm5188cN0N3RxZvb2/Y2NgY7P5EREREREREg0VvG2WcPn0alZWVotiKFSt6ve/3338vOl60aBFsbW1vMUuSW0NDg3ZBi+5zl574+fkhKioKY8aMgYeHh5EzJCKigay8vBzHjh0TxUJCQhAbG2vQeXR/h/n5+Rn0/kRERERERETmrreaQFZWFsrKykSxVatW9Xpf3ZpAQkIC7O3tbzFLkltDQwPOnTuHnJwcXL58uU/XDBkyRFsT8PT0NHKGREQ0kFVWVuLIkSOiWHBwMCZMmGDQeXQbXrEmQEREREREZBnY8IrIDF24cEG0cwoAhIeHa/+5paUF+/btE40nJSX1et+tW7eKjqOjoxEaGnrriZLJaTQalJSUICcnB3l5eejo6Oj1Gmtra4SFhSEqKgqjRo1iExEiIuqTrKwsFBUViWKTJk3CsGHDDDoPd2QhIiIiIiIi6pvz58+LjnvbKGPkyJGi2oI+DQ0NknoDN8oYeJqbm7ULWsrLy/t0jZeXF8aOHYsxY8bAx8fHyBkSEdFgoFarkZKSInqXwdraGomJiVAoFAabp729HU1NTaIYawdERERERERkaXqrCaSmpoqOhw8fjjFjxtzwns3Nzdi9e7coxprAwNPc3Izc3Fzk5ORImp71xMvLS9vkytfX18gZEhHRYKCvJmBlZYWkpCSD1gQ6OztRX18virEmQEREREREZBnY8IrIDOnuyBIcHAwnJyft8Q8//ICuri7tsbW1Ne64444b3lMQBMmOLEuWLOl/smR0giDg0qVLyMnJQW5uLlpbW3u9xsrKCiNGjEBUVBTCw8NhZ2dngkyJiGiwaG1tRUZGhijm6uqKuXPnGnwuNrwiIiIiIiIi6pvednPXXdzSlxdN09LSoFKptMd2dna91hvIPLS1tWkXtJSWlko2UtHH3d0dUVFRiIqKwpAhQwz6IjIREQ1+hw8fRnV1tSg2e/ZseHl5GXQe3bqBlZWVwecgIiIiIiIiMne91QR0N8HoS00gPT1dtAbBxsYGixYt6memZArt7e3amsDFixf7VBNwc3PT1gT8/PxYEyAiopty5MgRVFVViWKzZs2Ct7e3QefRrQkolUqDz0FEREQ0mCkUikH7nX+w/lxE9D9seEVkhi5fviw6Dg0NFR1v3bpVdDxz5ky4ubnd8J6ZmZm4ePGiKMYdWcxfa2srvv32W8nfnT4KhQKhoaGIiopCREQEHBwcjJ8gERENShkZGWhvbxfFFi1aBHt7e4POIwiCpEjl5+dn0DmIiIiIiIiIBovKykrR8fW1g7KyMpw6dUo0npSU1Os9dTfKmDdvHlxcXPqRJZlCZmYm0tLSRAuTeuLi4oIxY8ZgzJgxCAwM5EsgRER0S2pqanDgwAFRzM/PD1OnTjX4XLoLaHx8fGBlZWXweYiIiIiIiIjMme56ghEjRmj/ubKyEsePHxeNJyYm9npP3ZpAXFxcr2sQSH7Z2dlITU1FZ2dnr+c6OztrawJBQUGsCRAR0S2pra3F/v37RbEhQ4Zg2rRpBp9Ldy2Bt7c3rK255JmIiIiIiMgS8NsfkRnq7u4WHe/btw+LFi2Cg4OD3odGt7JoZfjw4YiJiel3rmQ8V65cwddff42GhoYbnjds2DBERUUhMjISzs7OpkmOiIgGrYKCAmRnZ4tiY8aMQXh4uMHnamhokLyEMWTIEIPPQ0RERERERDQY6NYOEhISkJCQAAcHB2zcuFE05ubmhunTp9/wfu3t7UhPTxfFuFGGeRMEAXv27MGhQ4dueJ6joyMiIyMRFRWFYcOGQalUmihDIiIajARBQEpKCtRqtTamUCiQnJxslEZU3CiDiIiIiIiISH9NIDExEY6OjpKagLOzM2bNmnXD+3V2diItLU0UY03AvAmCgH379uHHH3+84XkODg7amkBwcDBrAkRE1C+CIGD79u1QqVTamDFrArqbYLAmQEREREREZDnY8IrIDOnbSWPHjh16z7W1tcWyZct6vaduw6s777yTO3aYsfz8fHz33Xc97s4+dOhQREVFYcyYMdxZh4iIDKazsxOpqamimIODAxISEowyn+6iFQcHB7i4uBhlLiIiIiIiIqKBTveZfldXF7Zt26b33BUrVsDGxuaG9/vhhx/Q1tamPVYqlUhOTu5/omQUXV1d+P7775GXl6d33M7ODqNHj0ZUVBRCQkKM8rIxERFZplOnTuHSpUui2NSpUzF06FCjzKdbO+BGGURERERERGSJdGsCGo0GKSkpes/9xS9+ATs7uxveb+/evWhubhbdnzUB89Xd3Y3vv/8eubm5esft7OwQERGBqKgohIaGsiZAREQGc+bMGVy8eFEUmzx5MgICAowyH2sCRERERERElosNr4jM0MyZM/t87kMPPdTri6RFRUXIzs4Wxbgji/k6evQodu7cCUEQRHFXV1dMnDgRUVFR8PT0lCk7IiIazPbu3YvGxkZRLD4+Hs7OzkaZT3dHliFDhrAhJxEREREREVEPZs2aJWlUrY+NjQ3++Mc/9nqe7kYZ06dPh4+Pzy3nR8bT1NSEDRs2SJ6lAEBERARiYmIwatQoWFuz9EtERIbV1NSEH374QRTz8PDAnDlzjDKfRqNBdXW1KMbFLURERERERGSJZs2aJXmOr4+VlRX+9Kc/9Xqe7r2mTJkCf3//W86PjKe5uRlff/01KisrJWPh4eEYN24cRo4c2evGJ0RERDerubkZu3btEsXc3d0RFxdnlPkEQWBNgIiIiIiIyILxrWciMzRlyhRs3LgRf/jDH1BWVtbjeT4+Pn0qUG3dulVy3e23397fNMkIjh8/joyMDEk8KCgIy5cvN1rDESIiovLychw/flwUCwkJwbhx44w2p+6OLH5+fkabi4iIiIiIiGig+/zzz/Hoo49i06ZN0Gg0PZ731FNPITg4+Ib3UqlU2L59uyi2ZMkSQ6RJBtbR0YHPP/8cNTU1orhSqcSiRYswYcIEmTIjIqLBThAEpKWlobOzUxRPSkoy2oLK2tpaqFQqUYy1AyIiIiIiIrJEn376KRwcHLBx48Yb1gSeeOIJhIaG3vBearUa27ZtE8W4ebZ56uzsxOeff46rV6+K4kqlEgkJCZg0aZJMmRERkSVIT09HR0eHKJaYmAhbW1ujzFdfX4+uri5RjDUBIiIiopuk+P//DEaD9eciIi02vCIyU8uXL8ddd92FH374AQUFBWhvbxf9cXd3x7333ovAwMBe76W7I0tycjKsrKyMlTrdoosXL+ptdhUdHY3k5GTuzE5EREajVquRkpICQRC0MWtrayQlJUGhMN6TAd2GV9yRhYiIiIiIiKhnHh4e+Prrr/Haa69hz549aGhoENUNurq6MGHCBPzyl7/s9V6HDh1CbW2tKMbFLeZHo9Fg8+bNkmZXDg4OWLZsGUJCQmTKjIiILEFeXh4uXLggisXGxva6iLY/dOsGLi4ucHR0NNp8RERERERERObKzc0NX331FV599VXs2bMH9fX1kppAbGws1qxZ0+u9jh49iurqalGMNQHzIwgCtmzZIml2ZW9vj6VLl2LEiBEyZUZERJYgLy8Pubm5olhMTAxGjhxptDmrqqpEx05OTnB2djbafERERERERGRe2D2FyIzZ2Nhg4cKF/bpHVVUVfvrpJ1GMBSrz09DQgE2bNkl24ImLi8OMGTOM2myEiIjo0KFDkhda5syZA09PT6PN2dnZibq6OlGMDa+IiIiIiIiIejd8+HA8+OCD/bqH7kYZ48aNw/Dhw/t1TzK8ffv2oaCgQBTz8vLCypUr4eXlJVNWRERkCdrb27Fjxw5RzMnJCfHx8UadV3dxC+sGREREREREZOmCg4PxwAMP9OseujWBqKgoozavoFuzf/9+SfNxT09PrFy5Et7e3jJlRURElqCjo0NSE3B0dMSCBQuMOi83zyYiIiIiIrJsbHhFNMj97W9/gyAI2mNnZ2fMnTtXxoxIV1dXFzZu3Ii2tjZRfObMmZg5c6ZMWRERkaW4evUqfvzxR1HM398fU6dONeq8ug22lEolfH19jTonEREREREREQFlZWVYt26dKMaNMsxPTk4ODh48KIo5OTlh9erVcHNzkykrIiKyFLt27UJLS4sotnDhQjg4OBh1Xt3FLX5+fkadj4iIiIiIiGiwq6ysxEcffSSKsSZgfnJzc3HgwAFRzNHREatXr4a7u7s8SRERkcX44Ycf0NzcLIolJCTA0dHRqPOyJkBERERERGTZlHInQETGc+LECbz//vui2JIlS2Bvby9TRqRLEASkpKRIdqoNDw/HnDlzZMqKiIgsxc+/h9RqtTamVCqRnJwMpdK4XxV0C1ReXl6wtmY/XiIiIiIiIiJje/LJJ9Ha2iqKLVu2TKZsSJ+qqips27ZNFFMqlVi2bBmbXRERkdEVFxfjzJkzolhYWBgiIyONPjd3cyciIiIiIiIyrKeeekrSwII1AfNy5coVbN26VRRTKpVYunQpm10REZHRXbx4EadOnRLFRo0ahaioKKPPrbuWjjUBIiIiIiIiy8IV5USDlEqlwiOPPAJBELQxBwcHvPzyyzJmRboOHz6MnJwcUczHxwd33XUXFAqFTFkREZGlOHnyJMrKykSxqVOnwt/f3+hzc9EKERERERERkemlpqZiy5YtothDDz2EiIgImTIiXa2trdi4cSO6u7tF8YSEBAQHB8uUFRERWYru7m6kpqaKYnZ2dkhMTDR6/bqtrQ1NTU2iGGsHRERERERERLcuIyMDmzZtEsXWrFljkgYW1DdtbW3YuHEjurq6RPEFCxYgJCREpqyIiMhSqFQqbN++XRSztbXFokWLjF4T6OjoQENDgyjGmgARERHRLVAqrv0ZjAbrz0VEWkq5EyAi43jxxRclu66+8MILLHyYkfz8fOzZs0cUs7e3xy9+8QvY2dnJlBUREVmKxsZG7N69WxTz9PTE7NmzTTK/7o4sfn5+JpmXiIiIiIiIyFKVlZXh17/+tSjm7e2NN954Q6aMSJdarca3334rebF3woQJmDhxojxJERGRRdm/fz/q6upEsXnz5sHV1dXoc+tulGFlZQVvb2+jz0tEREREREQ0GFVUVOBXv/qVKObp6Yk333xTpoxIl0ajwbfffov6+npRPDY2FrfddptMWRERkSU5cOAAamtrRbG5c+fC3d3d6HNXV1eLjpVKJXx8fIw+LxEREREREZkPNrwiGoT+7//+D6+++qooFhkZif/3//6fTBmRrpqaGmzevBmCIGhjCoUC99xzD7y8vGTMjIiILIEgCEhLS0NnZ6conpSUBBsbG5PMr7twhTuyEBERERERERlPfX097rjjDlRUVIji//znP+Hp6SlTVqRr586duHjxoig2bNgwLFy40Og76BIREV2+fBlHjhwRxYKCgkzWdFG3buDr6wulkq81EREREREREd2shoYGJCQkoKysTBR/88032VzajOzatQslJSWiWGBgIBYtWsSaABERGV1VVRUOHz4sigUGBmLSpEkmm/96Pj4+sLKyMsncREREREREZB74ZhjRIPPdd9/h8ccfF8WUSiXWrl0LW1tbmbKi63V0dGDjxo2SJiNz587FyJEjZcqKiIgsSW5uLvLz80Wx2NhYhISEmGT+hoYGdHV1iWJseEVERERERERkHO3t7UhOTkZubq4oPnfuXNx3330yZUW6Tp8+jePHj4tirq6uWLZsGV/sJSIio1Or1di2bRs0Go02ZmVlheTkZJMtsORGGURERERERET919HRgcWLFyM7O1sUnzVrFtasWSNPUiRx9uxZHD16VBRzcXHB8uXLYW1tLVNWRERkKTQaDVJSUkQ1AaVSieTkZJNtRMGaABEREREREfFJKNEgkpGRgXvvvReCIIjiH374IaZPny5TVnQ9QRCwdetW1NTUiOJRUVGYNm2aTFkREZElaW9vx44dO0QxZ2dnxMfHmywH3R1ZHB0d4eLiYrL5iYiIiIiIiCxFS0sLVq1ahUOHDoniERER+Oabb7hDuJmoqKhAWlqaKGZtbY1f/OIXcHZ2likrIiKyJEePHpU8u585cyZ8fHxMloPu/FzcQkRERERERHRzWltbcd999+HHH38UxcPCwvDdd9+ZrIEF3djly5eRmpoqillZWWH58uV8j5KIiEzi2LFjqKysFMVmzJgBX19fk+XAhldEREREBqJQXPszGA3Wn4uItPjEmmgQqKmpwZo1a5CQkIDOzk7R2EsvvYSHH35YpsxI16FDh3D+/HlRzN/fH4sXL+bCIiIiMoldu3ahtbVVFEtISICDg4PJctBXoOLvQSIiIiIiIiLDSklJQWRkJFJSUkTxoUOHIiMjA15eXjJlRtdra2vDpk2boFarRfHk5GQMHTpUpqyIiMiS1NXVYd++faKYr6+vSTfV0mg0uHr1qijm5+dnsvmJiIiIiIiIBrrU1FSMGTMG33//vSju5+eHjIwMeHt7y5QZXa+trQ3ffPMNVCqVKJ6YmIjAwECZsiIiIktSX1+PvXv3imLe3t6YMWOGyXIQBEGynoA1ASIiIiIiIsvDhldEA5ggCPj0008RHh6O9evXS8YfeeQR/OUvf5EhM9KnqKhI8lDQ0dERy5cvh42NjUxZERGRJSkuLsaZM2dEsfDwcERGRpo0D+7IQkRERERERGQ8ZWVluPPOO7F48WKUlZWJxtzc3JCRkYHg4GCZsqPraTQafPfdd2hsbBTFp06diujoaJmyIiIiSyIIArZv3y5aZKlQKJCUlAQrKyuT5VFbWytZ6MnaAREREREREVHvKioqcM899yApKQmlpaWiMRcXF6SnpyMkJESm7Oh6Go0GW7ZsQUNDgyh+2223ITY2Vp6kiIjIogiCgNTUVHR3d4viycnJsLa2NlkedXV1khxYEyAiIiIiIrI8pvsmSkQG1dLSgnvvvRfbtm3TO3733Xfj//7v/6BQKG55jlWzRtzytSTW0NCAzZs3QxAEbUyhUOCee+6Bu7u7fIkREZHF6O7uxvbt20UxOzs7LFq0qF+fF25FVVWV6Jg7shAREREREREZRkZGBpYvX46mpibJmKOjI7Zt24axY8f2a46nfz+rX9fT/+zbtw/FxcWiWHBwMObNmydTRkREZGnOnDmDkpISUey2225DUFCQSfPQrRu4uLjA0dHRpDkQERERERERDTQ//PADli1bJmmgBAAODg7YunUrxo0b1685UoTUfl1P/3PgwAEUFhaKYkFBQViwYIFMGRERkaXJyspCUVGRKDZp0iQMGzbMpHnobp7t5OQEZ2dnk+ZARERERERE8lPKnQAR3byysjJMnz5db7MrFxcXvPfee/jmm29MuuMq9ayrqwsbN25EW1ubKD537lyEhobKlBUREVmaffv2ob6+XhSbP38+XF1dTZpHZ2enJA/uyEJERERERETUf++99x4WLVqkt9lVXFwczpw5g1mz2KzKXJw7dw4HDx4UxVxcXLB06VLWd4iIyCRaWlqwa9cuUczNzQ1xcXEmz0V3cQs3yiAiIiIiIiK6sQ8//BAJCQl6m13NmjULp0+fluU7PumXl5eHAwcOiGLOzs5YtmwZawJERGQSra2tyMjIEMVcXV1l2YyJNQEiIiIiIiICAGu5EyCivlOr1di1axceeOAByQ6nALB06VK88847GDp0qAzZkT6CIGDr1q2Sv6+IiAhMmzZNpqyIiMjSVFZW4siRI6LYsGHDMGHCBJPnUl1dLTpWKpXw8fExeR5EREREREREg0VVVRVefvllfPDBB5Ixb29v/Otf/8K9994LhUIhQ3akT2VlJbZu3SqKKZVKLFu2jDvXEhGRyezYsQMdHR2iWGJiIuzs7Eyei+7iFm6UQURERERERKTflStX8Pe//x3vvvuuZMzLywv//Oc/sXr1atYEzMjly5exZcsWUUypVGLp0qVwcXGRKSsiIrI0GRkZaG9vF8UWLVokS01Ad40dawJERERE/cTHQCSDtrY2lJaWorGxEe3t7bC3t4ezszOGDx/OZ17UZ2x4RWTmBEHAqVOn8NVXX2Hjxo16G115enri888/x6JFi2TIkG5k//79yM3NFcW8vLywZMkSFhKJiMgk1Go1UlJSIAiCNmZlZYXk5GRZfhfpLlrx9vaGtTW/lhARERERERHdjMbGRnz//ffYsGED9uzZA41GIzln6dKl+OCDD+Dl5SVDhtST5uZmfP311+ju7hbF77jjDgQFBcmUFRERWZrz589L6thjx47FqFGjZMmHDa+IiIiIiIiIetbU1IStW7fiq6++wu7du/XWBO6880589NFH8Pb2liFD6klLSws2btwoqQnMnz8fwcHBMmVFRESWJj8/H9nZ2aLYmDFjEB4eLks+rAkQEREREV2jVqtRWFiIrKwsZGdnIycnB/n5+ZJnST/7/PPPMXnyZBNn+T+nTp1Ceno6Dh48iNLSUtGa5esNHToU06dPR3x8PKZPn86eGtQjriwnMlP5+fnYsGEDNmzYgIKCgh7PCwsLQ2pqqmwvnlLP8vLycODAAVHM3t4eK1euhL29vUxZERGRpTly5IikYeasWbNke7GFO7IQERERERER3ZqOjg6kp6fjq6++QmpqKjo7O3s898UXX8SLL77IIrGZ0Wg02LhxI5qbm0XxCRMmYNKkSTJlRURElqajowNpaWmimKOjI+644w5Z8mlra0NTU5Mo5ufnJ0suREREREREROais7MT6enp2LBhA7Zv346Ojo4ez/3zn/+Ml19+GUql0oQZUm80Gg2++eYbNDY2iuKxsbGYMmWKTFkREZGl6ezslNQEHBwckJCQIEs+HR0daGhoEMVYEyAiIiIiS3Hp0iVkZ2drG1zl5uaivb1d7rR6dezYMfzjH/9ATk5On86vrKzEpk2bsGnTJoSEhOD//b//h/j4eCNnSQMRG14RmZnU1FS89NJLOHnyZK/nxsXF4bvvvoOHh4cJMqOe/Nx98vqFQ4IgYNeuXaLzlEolli1bBi8vL5PmR0RElqu2thb79+8XxXx9fTFt2jR5EgJ3ZCEiIiIiIiK6WXV1dXjppZewfv16yaIIXXZ2dvjkk0+wcuVKE2VHPREEQdJwLCcnBxUVFaLY8OHDsXDhQjYnIyIik9m9e7ek+eKCBQvg5OQkSz66dQNra2vW1ImIiIiIiMhi1dfX45VXXsGnn34qaQahy8bGBh9//DFWr15tmuSoR/pqArm5uSgrKxPFhg0bhkWLFrEmQEREJrN3717Jewbx8fFwdnaWJR/dmoCVlZVsG3kTEREREZnCjz/+iPXr1yMnJ6fX533mpqurCy+//DK+/fbbW75HSUkJHn/8ccydOxdvvPEGXFxcDJghDXRseEVkJkpKSvDkk08iJSWl13NjY2PxwAMP4JFHHoGNjY0JsiN9cnJycOjQIVRXV8Pe3h6hoaEYN24cRo4cidLSUtTX14vOX7BgAUJDQ2XKloiILI0gCNi+fTtUKpU2plAokJycDCsrK9ly0i1ScUcWIiIiIiIiIv00Gg3Wr1+PZ555BjU1NTc818nJCUuWLMGzzz6LsWPHmihD0tXa2oo9e/YgNzcXnZ2d8Pf3x8iRIzFlyhQ4Ojri7NmzovPd3NywbNky2Z7VEBGR5SktLZVsvjVixAhER0fLlJF0cYuPjw+USqVM2RARERERERHJQxAEfPHFF/jDH/6A6urqG57r5OSExYsX45lnnkFMTIyJMiRdbW1t2LNnD86dO4fOzk74+flh1KhRmDx5MpycnJCZmSk639XVFcuXL4e1NZdxERGRaZSVleH48eOiWEhICMaNGydPQpDWBLy9vVkvJyIiIqJBLTMzE4cOHZI7jZvW2NiIhx9+WPKM61bt2bMHS5cuxaeffgp/f3+D3JMGPj4pJZJZZ2cn3nzzTfz9739HR0dHj+eFhoZi5cqVWLlyJUaPHm3CDEmfrKwsbNmyRXvc1taGnJwc5OTkYNq0aXB0dJRcM3HiRFOmSEREFu7MmTO4ePGiKDZ58mQEBgbKkxCu7T7X1dUlig0ZMkSmbIiIiIiIiIjM19mzZ/HYY4/hp59+6vEcGxsbJCQkYOXKlUhKStL7XJpMRxAEfPrpp6LmZJWVlaisrMSpU6fwwAMPoKKiQnRNYGAg/96IiMhkVCoVtm/fLorZ2NggMTERCoVCpqyAqqoq0TE3yiAiIiIiIiJLk52djUcfffSGC9+sra1xxx13YOXKlUhOToaTk5MJMyRdgiDgs88+EzUnu3z5Mi5fvoyTJ0/i/vvvR3l5ueiagIAA/r0REZHJqNVqpKSkQBAEbcza2hpJSUmy1gS4eTYRERGRgSkV1/4MRoP15xoAWltbDdrs6mclJSVYs2YNNmzYAC8vL4PemwYmNrwiktGuXbvw29/+FgUFBXrHHR0dMXHiRLz44ouYM2eOrA+USCw3N7fHscOHDyMkJEQS37VrFxISEoyZFhEREQCgubkZu3btEsXc3NwQFxcnU0bX6BaoHB0d4ezsLFM2REREREREROansbERL7zwAt577z1oNBq95wQHB+Oee+7Bn/70JxZ8zcjVq1dFza6u19raii+++AIODg7o7OzUxgsKClBTUwNvb29TpUlERBbsxx9/lPyuiouLg4eHh0wZXaNbO+BGGURERERERGQpmpqa8OKLL+Ldd9+FWq3We86wYcNw9913489//jNrAmaktrZW1Ozqem1tbfjyyy9hb2+P9vZ2bbywsBBXr16Fj4+PqdIkIiILdujQIVy9elUUmzNnDjw9PWXK6BrdTTBYEyAiIiIiMj8vvPDCDZtdOTo64u6778bcuXMRHh4OV1dXtLe3o6SkBIcOHcK3336LyspKvddevHgRTz31FD777DMolUpj/Qg0QLDhFZEMysrK8NRTT2Hz5s16xx0dHTF//nxER0dDqVSiu7ubza7MzPXFJ31KSkoksWPHjiEmJgZDhw41VlpEREQAgPT0dHR0dIhiiYmJsLW1lSmja/TtyMLPOERERERERETXdgL/6quv8Pvf/17y/flnERERiI+Ph4eHBxQKBRwcHEycJd1Ib3WDhoYGSayrqwsZGRm49957jZQVERHRNVeuXMGhQ4dEsYCAAEyePFmmjK7RaDSSxaFc3EJERERERESDnSAI2LhxI55++mlcvnxZ7zlhYWFYsGCBtimFnZ2dKVOkXvRWE2hsbJTEuru7kZ6ejtWrVxsrLSIiIgDXNmv68ccfRTF/f39MnTpVpoyuYU2AiIiIiEg/e3t7jB49GlFRUSgrK8P+/ftly2Xr1q1ITU3tcXzWrFl49dVXJRu9uri4IDo6GtHR0XjooYfw7rvv4r///S8EQZDc49ixY/jvf/+LRx55xOD508DChldEJtTV1YV33nkHL7/8MlpbWyXjSqUSK1asQGBgIOzt7bVxfYsgSD5qtVqy4MjX11fy0M3V1RVNTU2iWH5+PhteERGRUZ0/fx65ubmiWHR0NEaNGiVTRv/DHVmIiIiIiIiIpM6dO4fHHnsMBw4c0DseEhKCFStWwMbGRhsTBAGNjY1wdHQ0VZrUC327UQ0dOlQS160dFBUVQaVSwdqaZVsiIjIOjUaDlJQUaDQabUypVCIpKUn2nRJramqgVqtFMdYOiIiIiIiIaDDLy8vDY489hn379ukdDw4OxqpVq0Q1AeDaegJnZ2dTpEh9oK8mEBAQgIqKClFMtyZQXFyM7u5uyd8vERGRoQiCgJSUFNGzd6VSieTkZNlrAvX19eju7hbFWBMgIiIiIktjbW2NUaNGYezYsdo/o0aN0r5D+u6778rW8KqlpQVvvvlmj+OLFy/G66+/3ut3C1tbWzz99NMIDAzECy+8oPecDz74AMnJyfD39+9XzjSwyfstlciC7N+/H+PGjcOzzz6rt9nVlClTcPLkSXz55ZeYM2eOaKyjo8NUaVIflJaWSv5O7r33Xkmne91mVwD0/t0TEREZSkdHB9LS0kQxR0dHLFiwQKaMxHQbRrJARURERERERJaspaUFf/jDHzBu3Di9za7s7e3x8ssvIzc3F3/7298k46wdmJcLFy6IjmNjY7Fq1SrY2tqK4rq1A0EQet0JnoiIqD+OHz8uWWw5bdo0+Pn5yZTR/+jWDVxdXdnQk4iIiIiIiAallpYWPPvss4iOjtbb7MrOzg4vvvgi8vLy8Pe//10y3tnZaYo0qY90awIxMTFYtWoV7OzsRHF96wna2tqMmhsREVm2kydPoqysTBSbOnWqWSwi160JODs7s6EnEREREQ16Q4YMQXJyMv785z9j48aNOH36NLZu3YpXXnkFy5Ytw+jRo81mw9R169ahpqZG71h0dDT+/ve/31Qj3eXLl+OXv/yl3rH29na8++67t5QnDR5seEVkZIIg4I9//CPmzJmDvLw8ybiXlxc+/vhjHD58GLGxsQCu7fh9vcuXL0MQBJPkS707f/686DggIACurq64/fbbe73W3t7eWGkRERFh9+7daG5uFsXuuOMOODk5yZTR/3R2dqK+vl4UY8MrIiIiIiIislT5+fmIjo7GW2+9BZVKJRlPTEzEuXPn8Je//AX29vZQKBTw9fUVnaNv93CSR1tbG0pLS0WxiIgIODk5Ydy4cTe8VqFQSBbAEBERGUpDQwP27t0rinl5eWHWrFkyZSTGjTKIiIiIiIjIEhQWFmLcuHH4xz/+obcmkJCQgJycHPz1r3+Fg4MDAEgaVbMmYD7a29tx8eJFUSw8PByOjo7a9SA3wpoAEREZS2NjI3bv3i2KeXp6Yvbs2fIkpKOqqkp0zJoAERERkQEoBvmfQWDZsmV48803sXr1asTGxprts6H29nZs2LBB75i1tTVeffVV2NjY3PR9n376aQQEBOgdS0lJkbw7RJaFDa+IjEij0eDRRx/FG2+8IRlTKBR45JFHcOHCBTz44IOiboa6Da86Ojpw/Phxo+dLvRMEQdLwKiIiAgDg4uKCkSNH9niti4sLxo8fb9T8iIjIcpWWluLkyZOi2MiRIzF27FiZMhLT/eKpVCrh4+MjUzZERERERERE8snOzsbMmTNRUlIiGQsODsa2bduwfft2hIaGisZ0awfHjh1DR0eHUXOlvsnPzxdtXGJjY6P9+4uJibnhtVOnToWtra1R8yMiIsskCAJSU1PR1dUliiclJZnNzpBc3EJERERERESD3blz5zBjxgwUFRVJxoYNG4bvv/8eaWlpknfQ9dUE2tvbjZor9U1BQQE0Go322NraWvv311tNYMqUKdxAm4iIjEIQBKSlpaGzs1MUT0pKuqVF6cbATTCIiIiIiMxXamoqGhoa9I4lJydj1KhRt3RfOzs7PP7443rHuru7sWnTplu6Lw0ObHhFZCQqlQpr1qzBhx9+KBmbMGECjh49ig8//BBeXl6ScU9PT0kDiH379kGtVhstX+qby5cvo6mpSRQLDw/X/nNycjJcXV1F4wqFApMmTcKvf/1reHh4mCRPIiKyLCqVCtu3bxfFbGxskJiYCIXCPFpZ6xaovL29zWZBDREREREREZGpnDhxArNmzZJ8T7a1tcXzzz+P3NxcJCcn6732+mfRANDU1IQTJ04YLVfqO92NMkaMGKF9aTggIABxcXGSazw9PfGLX/wC8+fPN0mORERkebKzs1FYWCiKTZgwAcOHD5cnIT10PxP5+fnJlAkRERERERGR4Z0+fRqzZs2SNHy2sbHBn/70J+Tm5mLJkiV63/HTrQm0tLRwA20zceHCBdFxaGiodmMLf39/vc/9PTw8sHz5cixYsMAkORIRkeXJzc1Ffn6+KBYbG4uQkBCZMpJiTYCIiIiIyHylpKT0OLZmzZp+3XvRokXw9vbWO6a7LposC1eYExlBV1cXVq5cic2bN4viVlZW+Ne//oXHHnsMVlZWPV6vUCiwcOFCrF+/Xhvr6OjA1atX+TBHZroFKt3mZK6urnjkkUdw9uxZdHd3w9XVFSEhIWx0RURERvXjjz+ipqZGFJs7dy7c3d3lSUgP7shCRERERERElu7gwYNYtGgRmpubRfEJEyZgw4YNCAsLu+H1ERERGDp0KCorK7WxsrIyo+RKfdfd3Y2ioiJRLCIiQnQ8c+ZM+Pv7o6ysDPb29vDx8UFoaOgNa0VERET90draioyMDFHMxcXFrBottrW1ST4XsXZAREREREREg8VPP/2EhIQEyUbLsbGx2LBhg+Q5sq6wsDAEBgaivLxcG2NNQH4qlQoFBQWimO7f5bRp0zBkyBCUlZXBzs4O3t7eCA0N5QahRERkNO3t7dixY4co5uzsjPj4eJkykuro6EBDQ4MoxpoAEREREZF5qKurw8mTJ/WOhYeHS5rz3yxbW1skJCTgiy++kIyVlpYiLy8Po0eP7tccNDDxiSmRgbW3t+Puu+9Genq6KG5jY4ONGzfirrvu6tN9QkJCoFQqodFotDGVSmXQXOnm6e7SHhERIdlVx8nJCdOmTTNlWkREZMGuXLmCQ4cOiWIBAQG47bbbZMpIP91d6tjEk4iIiIiIiCzJrl27sGTJErS3t4vi06dPR1paGlxdXXu9h0KhQGRkpKjhFesG8isuLkZ3d7f2WKFQ6G1eNmrUKIwaNcqUqRERkQXbuXMn2traRLGFCxfC3t5epoykdOsG1tbW8PLykikbIiIiIiIiIsPZs2cPkpOTJd/Nb7/9duzYsQNubm693uPnmsD1Da+ufxZN8igpKUFXV5f2uKeawMiRIzFy5EhTpkZERBZs586daG1tFcUSEhLg4OAgU0ZSuptnW1lZwdvbW6ZsiIiIiIjoej/99JOop8n15s2bZ5A55s2bp7fhFQAcOnSIDa8slFLuBIgGk+bmZixcuFDS7Mre3h4pKSl9bnZ1/XXX0334RKZVX18vecDW2+46RERExqTRaJCSkiL6MqlUKpGcnAyl0nw+6guCgOrqalGMO7IQERERERGRpdi2bRuSkpIkza7mz5+PjIyMPjW7+pm+uoEgCAbJk26N7kYZwcHBcHR0lCkbIiIioLCwEFlZWaLY6NGjze7FMN3au6+vr1nVNoiIiIiIiIhuRWpqKhYtWiRpdhUXF4edO3f2qdnVz3RrAm1tbawJyEy3JhAYGAhnZ2eZsiEiIrq2QdPZs2dFsfDwcERGRsqTUA90awI+Pj6wsrKSKRsiIiKiQUShGNx/yCSOHj3a49jtt99ukDnGjx/f40Z9N5qfBje+KUZkIPX19Zg/fz72798vijs7OyMjIwN33HHHTd/TxcVFdLxv3z6o1er+pEn9kJ+fLzp2cnJCYGCgTNkQEREBx48fR0VFhSg2ffp0s2smVV9fL9rVDGDDKyIiIiIiIrIMX3/9Ne6++27J9+LFixdj+/btcHJyuqn76dYNrly5gnPnzvU7T7o1giBIagfh4eEyZUNERAR0dXUhNTVVFLO3t8fChQtlyqhnuotbWDcgIiIiIiKigW7Tpk2488470dnZKYovWrQIaWlpN90YSbcmcPXqVWRnZ/c7T7o1+moC3DybiIjk1N3dje3bt4tidnZ2WLRoERRm1hygqqpKdMyaABERERGR+ejpmaOVlRWioqIMMoetrW2Pm/XxmaflYsMrIgOorq7GnDlzcOzYMVHc3d0du3fvxqxZs27pvjExMaLjqqoqya4gZDq1tbWi49DQUO4wS0REsmloaMCePXtEMS8vL8ycOVOmjHqmW6BydHTkrmZEREREREQ06H388cdYtWqVZCOLFStW4Ntvv4Wdnd1N3zM0NFTvZhnc0V0eXV1daG1tFcVGjhwpUzZERETA3r170dDQIIrFx8dLPj+YAy5uISIiIiIiosHks88+w4oVK6BSqUTxpUuXYsuWLbC3t7/pew4fPhyurq6iGGsC8lGpVGhubhbFWBMgIiI57du3D/X19aLY/PnzJZ8fzAE3wSAiIiIiMk9dXV0oKirSOzZixIhbeq7ZkzFjxuiNNzY2oqKiwmDz0MDBTi1E/SAIAr755huMHTsWmZmZojEfHx/s378fkydPvuX7T548Gb6+vqIY/2ctH91FSQ4ODjJlQkRElk4QBKSmpqK7u1sUT05OhrW1tUxZ9Uy3QOXn52d2u8YQERERERERGUp1dTVWrlyJhx9+WLLo5KGHHsIXX3wBGxubW7q3jY0NEhISRLHa2lrJbvFkGrp1A4C1AyIikk95eblkk67hw4cjNjZWpox6plarcfXqVVHMz89PpmyIiIiIiIiIbt3Vq1dx33334f7774dGoxGNrVmzBl9//TVsbW1v6d42NjZYuHChKFZfX4/29vZbzpduHWsCRERkTiorK3HkyBFRbNiwYZgwYYJMGfVMo9GgurpaFGNNgIiIiIjIPFy8eFGyTvlnISEhBp3rRvcrLCw06Fw0MJjfaniiAeLSpUt49NFHkZaWJhkbOnQo9uzZg4iIiH7NYWVlheDgYNFDnZ5+YZDx6RaprKysZMqEiIgsXXZ2tuQL3MSJExEcHCxTRjfGHVmIiIiIiIjIEgiCgPXr1+Ppp59GXV2dZPx3v/sd3n777X43gdZX8O3u7jboLkrUN/oWt7B2QEREclCr1di+fbuo2aa1tTWSkpLMcgOK2tpaye9R1g6IiIiIiIhoIBEEAV9++SWeeuop1NbWSsYfe+wx/Oc//4FS2b896nuqCZDpsSZARETmQq1WIyUlRVQTsLKyQnJyslnWBOrq6iSfX1gTICIiIjIMhVIBhdL8PgMawmD9ucxNeXl5j2OGXq8cFBR0S3nQ4NW/p+dEFkitVuM///kPxowZo7fZVUhICA4ePNjvZlc/093lnQUq+bS0tIiOWaAiIiI5tLa2IiMjQxRzcXHBvHnzZMqod2x4RURERERERINdUVER5s+fj/vvv19vs6vnn3/eIM2uAGndAGDtQC4dHR2SGGsHREQkh8OHD0uexc+ePRteXl4yZXRjurm6urrCwcFBpmyIiIiIiIiIbk5JSQnuuOMOrF69Wm+zq2effRbvvvtuv5tdAawJmJPOzk5JjDUBIiKSw5EjR1BVVSWKzZo1C97e3jJldGO6NQFnZ2c4OTnJlA0REREREV2voqKixzFDrwO+0f3Y8MoyseEV0U3Izs7GtGnT8Lvf/U7S/AgAkpKScPjwYYSGhhpsTmtra9GxSqUy2L2p7+rr61FUVCSK2draypQNERFZsp07d6KtrU0UW7RoEezt7WXK6MY6OztRX18virHhFREREREREQ0W3d3deOONNxAVFYU9e/ZIxt3d3fHpp5/ilVdeMdhOqvoWT7B2II+jR4+KjpVKpaSuQ0REZGw1NTU4cOCAKObn54epU6fKlFHvdBfisG5AREREREREA4FKpcJbb72FMWPGYNeuXZJxNzc3fPzxx3jttdcMVhNQKpWSxlmsCcjjyJEjomPWBIiISA61tbXYv3+/KObr64tp06bJk1AfcPNsIiIiIiLzVVNT0+OYoZvq+vr63lIeNHjx6SpRH3R2duKVV17BG2+8obdANGTIELz77ru45557DFac+hkLVObh0KFDEARBFBs5cqRM2RARkaUqKChAVlaWKBYZGYmIiAiZMuqdboFKqVTCx8dHpmyIiIiIiIiIDOf06dN48MEHcfbsWb3jy5Ytw7///W/4+fkZdF6FQgGlUgmNRqONsXZgei0tLTh9+rQoNmLECEldh4iIyJgEQcD27duhVqu1MYVCgeTkZL1NMs2Fbu3A0J+XiIiIiIiIiAzt7NmzePDBByXPhX92zz334D//+Q/8/f0NPjdrAvJra2vDyZMnRbGQkBA2vCIiIpP6uSZw/WeBgVAT0N0EgzUBIiIiIiLzUV9f3+OYm5ubQee60f0aGhoMOhcNDHy6StQLQRCwYsUKfP/993rHH3roIfzjH/+Ah4eHUea/evWq6NjQDbWob8rLy0XHo0aNwtChQ2XKhoiILFFXVxdSU1NFMXt7eyQkJMiUUd/oLlrx9vbmSx5EREREREQ04J04cQKzZs1Ce3u7ZCwwMBAffPABEhMTjTJ3Y2OjaGELwNqBHCoqKiQbZSxYsECmbIiIyFKdOnUKpaWlotjUqVPNvpbN3dyJiIiIiIhoIDlz5gxmzJiB1tZWyVhAQADef/99JCcnG2XupqYmNrgyA5WVlawJEBGR7M6cOYOLFy+KYpMnT0ZgYKA8CfURawJEREREZEi6vTcMxcnJCc7Ozka5tzlramrqcczQ/z6srKxgb2+Pjo4OyVhjY6NB56KBgSvNiXrx9ddf6212FRYWho8++gizZs0y6vyFhYWiYz7UkYfujuwREREyZUJERJZq7969ki9t8fHxcHFxkSmjvuGOLERERERERDTYdHd348EHH5Q0u1IoFPjtb3+Lv//970b9vn7+/HnRsZWVFby9vY02H+mnWzdwcnLi3wMREZlUU1MTfvjhB1HMw8MDs2fPliehPmptbUVzc7MoxtoBERERERERmSuVSoUHH3xQ0uxKoVDg0UcfxauvvgpXV1ejzZ+fny86ViqV8PX1Ndp8pJ/uxiMODg78eyAiIpNqbm7Grl27RDE3NzfExcXJlFHftLe3S9ZAcG0kERERkQEp/v8/g1EPP9fdd99tlOl++9vf4vHHHzfKvc2ZvuZTP3N0dDT4fA4ODnrn1LcBMQ1+bHhFdAP19fV46qmnRDFra2s8++yzeP7552Fvb2/U+TUaDbq6ukQxHx8fo85J+llZWYmOdReyEBERGVN5eTmOHTsmioWEhCA2NlamjPqOO7IQERERERHRYPPOO+8gOztbFIuKisJ///tfTJkyxejzd3Z2io5dXFxgY2Nj9HlJTLduoLvYhYiIyJgEQcCOHTsknwsSExNha2srU1Z9o1s3sLa2hqenp0zZEBEREREREd3Ye++9hzNnzohikZGR+O9//4vbb7/d6PPrfvd3cnIy++/+gxFrAkREJLf09HTJovCBUBOorq4WHXNDLyIiIiIi89Ld3d3jmO4zMUOwttbf4kilUhl8LjJ/bHhFdAPPPfec5MHKxo0bjdb5UZdSqYSfnx8uX76sjdXV1ZlkbvoflUol2ZVHrVbLlA0REVmivXv3QhAEUay5uRklJSUICQkx25cnBEGQfJZiwysiIiIiIiIayEpLS/HXv/5VFIuOjsaJEydM9iKpv7+/6LilpQVqtdoohWXqme4utKwbEBGRKVVUVOD8+fOSeHl5Ofz8/ODk5CRDVn2j2/DK19eXG04RERERERGRWSovL8df/vIXUWzMmDE4deoU7OzsTJKDn5+f6LitrQ3d3d3cCMPEWBMgIiI5VVZWIjc3VxKvqKjA0KFDzbomUFVVJTr28fHhuw1ERERERGbE1A2venqueaM8aPBiwyuiHhw9ehRr164VxZKSknDXXXeZNI+goCBRw6u8vDxMnz7dbBtbDEbp6emor68XxUxVpCQiIgKkhR4AqKmpweeff44hQ4ZgypQpGDt2bI/dja+n0Whw+vRpnD9/Hk1NTWhra0NQUBASEhLg6upq0Lzr6urQ1dUlirHhFREREREREQ1UgiDg8ccfR1tbmzamUCiwdu1ak+6aGhgYKDpWqVQoKChARESEyXKwdLW1tcjIyBDF7O3tZcqGiIgskb66AQDs27cPBw8eRHR0NCZPntznZ/JXr17FsWPHcOXKFTQ1NcHa2hq33347xo8fb/B3E3QbXrFuQERERERERObqd7/7HVpaWkSxtWvXmvQ98sDAQCgUCu2GmWq1GgUFBYiMjDRZDpauvr4e6enpohhrAkREZEo91QT2798vqgnoNsrsSU1NDY4dO4aqqio0NTXBysoKU6dOxcSJE1kTICIiIiKyMKbuWaLRaMwiDzIPbHhFpEd3dzceeeQRbWEIABwdHfHuu++a/H+WI0eOxPHjx7XHlZWVqKiokCxoIeM4c+YMTp06JYp5eXlx4RAREZnUuHHj8NNPP+kdu3LlCrZt24bdu3dj4sSJmDRpEpydnfWe29jYiO+++w5lZWWieF5eHi5evIjFixcb9HecboHKycmpx9yIiIiIiIiIzN3WrVuxfft2UeyRRx7BlClTTJqHg4MDAgMDUV5ero0dP36cz61NpKurC9988w06OztF8enTp8uUERERWaKwsDA4ODigvb1dMqZSqXD69GmcPn0aoaGhmDJlCkaNGqX3XQdBEHDq1ClkZGRApVKJxrZv346CggIsXrwYDg4OBstdd2FOXxfgEBEREREREZlSamoqtmzZIoo99NBDmDZtmknzsLOzQ1BQEC5duqSNHTt2jA2vTKS7uxvffPMNOjo6RHHWBIiIyJTCwsLg6Ogo2pzrZ2q1GmfOnMGZM2cQEhKCKVOmICwsrMeawJkzZ5Ceno7u7m7RWFpaGgoLC7F48WI4OjoaLHfd9QSsCRARERERmRcbG5sex3TfJTIEtVp903nQ4MWGV0R6/Oc//0FWVpYo9te//hXBwcEmz2XkyJFwc3NDY2OjNnbs2DE2vDKBmpoapKWliWI2NjZYvnw5f2kSEZFJzZ8/H8OGDcP58+dx/vx5ycsTANDa2ooDBw7g0KFDiIqKwuTJk+Hr6wtBEFBUVIQLFy4gNzdXshjzZ+3t7di4cSNiY2OxYMECg+xApm9HFnZaJiIiIiIiooGoubkZTzzxhCjm6+uLV199VZZ8Jk6cKGp4VVxcjKtXr8LHx0eWfCzJzp07UV1dLYpFR0dj/PjxMmVERESWyNXVFY899hhOnTqFwsJCyUYXPysuLkZxcTG8vLwwefJkREVFwcHBAXV1dTh//jzy8vJEnyl0nT9/HhUVFUhKSkJYWFi/81ar1bh69aooxt3ciYiIiIiIyNy0trbit7/9rSjm7e2N119/XZZ8Jk6cKGp4VVpaiitXrvA7tQns2rVL0rw7KioKEydOlCkjIiKyRM7OzqKawPWfC65XUlKCkpISeHp6amsCjo6OqKurw4ULF5CXl9djPQEALly4gA8++ACJiYkIDw/vd94ajUZSW+fnFyIiIiIDUwAYrOs1e/ixNm/ebJR3ZZ2cnAx+z4HgRj0zdBvlGkJP92TvDsvEhldEOi5duoQXXnhBFBs7diyefPJJWfJRKpWYNGkSdu/erY3l5uZiwYIFcHZ2liUnS3HkyBFJ58nk5GT4+vrKlBEREVkqhUKBiIgIREREoKurC5mZmTh69Chqa2sl56rVamRmZiIzM1N7rSAIfZ7rzJkzKCoqQmJiYr8Xr+i+6MECFREREREREQ1UL774oqQZxNtvvw0PDw9Z8omKisKuXbtEO7geP34cixYtkiUfS9Hc3IzTp0+LYr6+vkhMTGSTbyIiMjlnZ2fMmjULs2bNwuXLl3Hs2DFkZ2fr3QmxtrYWO3bswI4dO266btDc3IwNGzYgJiYGd9xxBxwcHG4559raWkl+rB0QERERERGRuXn55ZdRWloqiv3zn/+El5eXLPmMGTMGu3btQktLizZ27NgxJCcny5KPpWhtbcWpU6dEMR8fHyQnJ7MmQEREJufk5ISZM2di5syZqKqqwrFjx5CVlaW3JlBXV4f09HSkp6ffUk3g66+/xtixY5GQkABHR8dbzrmurk6ymJ01ASIiIiLqLx8fH36uNKAbfea//h1lQ2ltbdUbt9SGY5ZOKXcCROZEpVLhkUceEf3PV6FQYO3atbJ2BdTdFVytVkuKJ2RY3d3dyMnJEcUmTpyIsWPHypQRERHRNba2tpg0aRJ++9vfYtWqVQgNDb3h+T0VqDw8PHDHHXcgICBAMtbU1IQNGzbg+PHj/cr1ypUromM/P79+3Y+IiIiIiIhIDocPH8a///1vUWzevHlYsWKFTBkB1tbWmDBhgiiWmZmJzs5OmTKyDJmZmaJnLTY2Nli+fDlsbW1lzIqIiAjw9/fHkiVL8NRTT2HWrFk3fAnsRgtbJk2ahMmTJ8POzk4ylpmZiY8++qhfL7PpbpTh5ubWrwZaRERERERERIZ27Ngx/Otf/xLF5syZg/vuu0+mjAArKytJTSA7Oxvt7e0yZWQZsrKyoNFotMfW1tZYtmwZawJERCQ7Pz8/LF68GE899RRmz559yzWBCRMmYMqUKbC3t5eMZWdn46OPPupxMXpf6K4lcHZ25iJ2IiIiIiIzc6ONf69vwG8IXV1dkqa4P3N3dzfoXDQwWMudAJG5UKvVWLNmDTIyMkTxX/3qV5g6dapMWfXs0qVLcqcwqOXl5YkWBikUCsyYMUPGjIiIiMQUCgVGjRqFUTpRjQABAABJREFUUaNGobq6GkePHkVWVhZUKlWv10ZHR2PhwoWwt7fH5MmTcebMGezcuVOyKHbnzp0YM2bMLRWWOjo60NDQIIqxczYRERERERENNKdPn8aiRYtECxrs7Ozw/vvvy7p7tyAIkuYQXV1dqKqqQnBwsExZDW6CIODs2bOiWFRUFLy8vORJiIiISA9nZ2fMmTMHM2bMQHZ2No4ePSpZUNLTdUlJSQgPDwcATJ8+Hdu2bUNhYaHovPr6euzfvx8LFy68pfx0c2HdgIiIiIiIiMxJZmYmEhISRO/g2dra4oMPPpC1JgAAjo6OouPu7m5UVVUhJCREpowGN0EQcObMGVEsMjISPj4+MmVEREQk5ezsjNmzZ2P69OnIycnB0aNHJRtP6OPk5ITExESMHj0awP9qAgUFBaLzGhoasHfvXiQlJd1Sfrq5cPNsIiIiIiLzc6NGU3V1dQadq7a2tscxNzc3g85FAwMbXhEB0Gg0eOSRR/DVV1+J4r6+vnjttddkyupaXkePHsWBAwckY/7+/jJkZDmysrJExyNGjOAvSiIiMlu+vr5ITk7G3LlzcerUKZw8eRJNTU3acaVSiWHDhiE8PBzh4eHw9PTUjikUCowfPx4jRoxASkoKioqKtGNqtRrZ2dmYMmXKTedUXV0tOlYqlfD29r6Fn46IiIiIiIhIHtnZ2Zg/fz4aGxtF8eeeew6jRo2SKatrBd/t27fj4sWLoriVlRUXWhjR5cuXUVNTI4rFxsbKlA0REdGNWVtbIzY2FuPGjcPFixdx5MgRFBYWipp4uri4ICwsDOHh4QgNDYW1tbVobNWqVTh79ix27tyJjo4O7Vh2djbi4+NF5/cVG14RERERERGRucrNzcW8efNQX18vij/77LPaBtFyqKurQ2pqKoqLi0Vx1gSM68qVK5J3IFkTICIic2VtbY1x48YhJiYGpaWlOHr0KPLz80U1AWdnZ+1agpCQENjY2IjGVq5ciaysLKSnp4tqAjk5ObjjjjtE5/cVawJERERERObvRp/Tdd+Z7a8b3Y8Nci0TG16RxRMEAU888QTWrVsnitvb22PTpk3w8PCQJa+GhgZs2bIFly5dkozZ2treUuMJ6puOjg6UlJSIYjExMTJlQ0RE1HdOTk6YOXMmZsyYgba2NnR0dKCrqwvu7u5wcHC44bVubm6499578e233yI3N1cbP3v27C197tDdkcXHx+eWFr8QERERERERyeH8+fOYN2+eZHeihQsX4k9/+pNMWQEnT57Ezp070d3dLRmbNGmSZId3Mpzz58+Ljj09PREUFCRTNkRERH2jUCgQEhKCkJAQqFQqtLa2or29HdbW1vDy8oJCobjhtbGxsQgKCsJ7772njbe3tyM/Px+RkZE3nY/u4ha+rEZERERERETmoKCgAHPnzpUsuIqPj8fzzz8vU1bA6dOnkZGRga6uLsnYhAkT4OzsLENWlkG3JuDu7o7hw4fLkwwREVEfKRQKDB8+HMOHDxfVBKysrODt7d1rTSAmJgaBgYF47733IAgCAKCzsxMXLlxAVFTUTefDhldEREREJqBQAMqeP+cNaDf4/EqGExAQ0ONYZWWlQee60f0CAwMNOhcNDEq5EyCSkyAIeOaZZ/B///d/oritrS22bt2KWbNmyZJXZ2cn1q9fr7fZlVKpxOLFi1mgMqLjx49DrVZrj62srBAWFiZjRkRERDdHoVDAyckJXl5e8Pf377XZ1fXXTZw4URSrqqqSNK/qCxaoiIiIiIiIaKAqKirC3LlzJTt3z507F5s3b76lnUsN4dSpU0hNTdXb7CooKAhz5syRISvL0NzcjKysLFFs9OjRN3whmIiIyNxYW1vDzc0Nfn5+vS5suZ63t7dkQefZs2dvev7W1lY0NzeLYqwdEBERERERkdwuXryIuXPnSt6Rmz17Nr7//nvY2trKkteZM2eQkpKit9lVQEAA4uLiZMjKMrS0tLAmQEREA971NQEfH58+/x7z8vJCSEiIKHYrNYH29nY0NjaKYqwJEBERERGZnxtt/FpaWmrQufT1TulLHjR4WcudAJGcXnzxRbz11luimLW1Nb799lssWLDAKHM2NTVhz549yMvLg6urK8LDwxEREYHAwEDtw6M9e/agvr5edJ1CocDYsWMxc+ZMeHt7GyU3S6fRaJCRkYHjx4+L4qGhobCzs5MpKyIiItMaPnw4XF1d0dTUpI1lZmbe9C7rbHhFREREREREA9GlS5cQFxcn2UVo+vTp2LZtG+zt7Q0+pyAIOHfuHPbv34+WlhYEBwcjIiICYWFhcHJyAgA0NjZi586dkmvd3NwwY8YMxMbGwsrKyuC50bVm4Bs2bBA9KwGAiIgImTIiIiIyvXHjxuHixYva48LCQrS0tNzURl26dQNra2t4enoaKkUiIiIiIiKim1ZeXo64uDiUlZWJ4lOnTkVKSgocHR0NPqcgCMjNzcX+/fvR1NQkqgn8/D27qakJGRkZkmtdXV21NQFray4FMoYrV65gw4YNkgYdrAkQEZElGTduHIqLi7XHRUVFaG5uhouLS5/voVsTsLKy4npIIiIiIiIzFBgYCGdnZ7S0tEjGCgoKDDpXfn5+j2Ph4eEGnYsGBj7lJov12muv4ZVXXhHFlEolvvrqKyQnJxt8PrVajSNHjuDHH3/U7rRSU1ODmpoaHD58GM7OzggODoa1tbVkRxAPDw8sWbIEwcHBBs+L/uenn36SNLsCgIkTJ8qQDRERkTyUSiViYmJw8OBBbSwrKwvz5s3r88JZjUbDhldEREREREQ04FRWViIuLk6yg9Btt92GtLQ0bfMpQ6qursaOHTtEDSQuXLiACxcuQKFQICgoCB4eHrhy5YpkF/dJkyZh/vz5su0ubwk6Ojrw1Vdfobm5WRT38/NDQECATFkRERGZ3ujRo5GWlobu7m4A1+oA2dnZmDp1ap/voVs38PX1hVKpNGieRERERERERH1VVVWFuXPnoqSkRBQfP348duzYcVMNHfrq6tWr2LFjh2jO/Px85OfnQ6FQIDAwEJ6enqiurkZnZ6fo2okTJyI+Pp41ASPq7OzU2+zK19cXQUFBMmVFRERkehEREbC1tdW+oyAIArKysjBt2rQ+30O3JuDj48NNvIiIiIiIzJBCocDo0aNx4sQJydjly5dRV1dnsA3tcnNz9cYDAgLg5uZmkDloYOGbY2SR3nnnHTz33HOimEKhwKeffoply5YZfD6NRoP169dj9+7dkgUpP2tpacG5c+eQmZkJQRC0cRsbG6xevZrNroxMEAQcOXJEEp89ezY7QhIRkcWJiYkRHbe2tkoact5IfX29dtHLz/z8/AySGxEREREREZExVFdXY+7cuSgqKhLFx40bh4yMDLi6uhp8zsLCQqxdu1bU7Op6giDg0qVLyMzMRFVVlWhs/PjxWLRoERe2GNm5c+ckza48PDywdOlSNuggIiKLYmdnh8jISFHs+PHjUKlUfb6H7uIW1g2IiIiIiIhILjU1NZg3bx7y8/NF8bFjx2LXrl1wd3c3+JxFRUX48MMPJQ22fiYIAsrKypCZmYnLly+LxsaNG4fExETWBIwsNzdX0uzK3d0dy5YtY02AiIgsiq2tLcaMGSOKHT9+XLI+4Ea4eTYRERGRiSgG+R8yidjY2B7HTp48aZA56urqJO9o92V+Gtz41JUsztq1a/HUU09J4h9++CFWr15tlDkLCgokO8L3VVxcHDw8PAycEem6cuUKWltbRbE777wTs2fPlichIiIiGXl7e0t2JNu7d2+PjTt16RaonJyc4OzsbLD8iIiIiIiIiAyprq4O8+fPx/nz50XxyMhI7Nq1y2jP6Pft2we1Wn3T17m4uCA+Pt4IGZEu3eK6v78/Hn74YXh5ecmUERERkXzGjRsnOq6vr8fx48f7fL1uA08ubiEiIiIiIiI51NfXIz4+HufOnRPFIyIi8MMPPxjt+e/+/ftvqSbg5OSEBQsWGCEj0lVcXCw69vPzw8MPPwxvb2+ZMiIiIpKPbk2gsbERx44d6/P1rAkQEREREQ0cU6dO7XHs8OHDBpnjyJEjEARB79jtt99ukDlo4GHDK7Io69evx69//WtJ/N///jd+9atfGW1e3YKYQqHA+PHjMXPmTPj6+vZ43bBhwzB58mSj5UX/o1ug8vDwQExMjEzZEBERyW/WrFmi4+bmZuzYsQOdnZ29XssCFREREREREQ0UjY2NWLBgAbKyskTxUaNGYc+ePfDx8THKvPX19aioqBDF3N3dER8fj8jIyB53aVcoFEhMTIS9vb1R8qL/0Wg0KCkpEcVuu+02ODo6ypQRERGRvIYPH45hw4aJYj/++KPk96U+arUaV69eFcVYOyAiIiIiIiJTa25uRkJCAs6cOSOKh4aGYvfu3Ub7rtrY2IiysjJRzM3NDfHx8RgzZkyvNQEHBwej5EX/IwiCZD3BpEmT4OTkJFNGRERE8ho2bBiGDx8uih08eFDy+1IfjUaD6upqUczPz8+Q6RERERERkQFNmDChx3djd+/efUuN/HWlp6frjSsUCkyfPr3f96eByVruBIhM5ZtvvsEDDzwgib/++ut44oknjDavSqXChQsXRLH4+Hhtp8O4uDjU1taisLAQLS0tUKlUUKlUcHd3x6RJk6BUsi+dKej+HYWGhsqUCRERkXkYOXIkRowYgaKiIm3s7NmzKCwsxNy5czFu3DgoFAq91165ckV0zAIVERERERERmaOWlhYsXLgQJ0+eFMWHDx+OPXv2GPX7bG5urujY0dERjz32GGxsbABcqy0UFxejsrIS3d3dUKlUUCqVCA8Pl7xUSsZRVlaG9vZ2UYy1AyIismQKhQILFizAf//7X22so6MD69evx+jRoxEfHw8PDw+919bW1kpefmPDKyIiIiIiIjKl1tZWLFq0CMeOHRPFhw0bhr179yIgIMBoc+vWBOzt7fHYY49pG12pVCqUlJSgoqJCWxNQKBQICwvjc2kTKS8vR2trqyjGf/dERGTJfq4JfPTRRxAEAQDQ2dmJzz//HBEREYiPj4enp6fea+vq6qBSqUQx1gSIiIiIiMyXnZ0d5s2bh5SUFMlYTU0N9u3bh3nz5t3y/WtqanDgwAG9Y5MmTeL3BQvGhldkEbZu3YpVq1ZBo9GI4i+++CKeffZZo85dUVGBzs5O7bFCoUBUVJToHC8vL3h5eRk1D+pZc3MzLl26JIqFhYXJlA0REZH5WLBgAT744ANtkQq4thh427ZtOHHiBO688074+PhIrtNteMUvnERERERERGRu2tvbkZycjJ9++kkUDwwMxN69exEUFGTU+XV3PR09erS22RUAWFtbIywsjM+qZaS7AGnIkCFwc3OTKRsiIiLzEBAQgLFjxyI7O1sUz8vLQ35+PmbMmIGZM2dKNvaqqqoSHbu5ucHBwcHo+RIREREREREB1xo2L1myBAcPHhTF/f39sWfPHgQHBxt1ft2aQEREhLbZFXCtJjBq1CiMGjXKqHlQz3RrAj4+Pj029iYiIrIU/v7+iI6ORmZmpih+/vx5FBQUYNq0aZg9e3avNQFnZ2c4OTkZPV8iIiIiIrp1S5Ys0dvwCgA+/vjjfjW8+vzzz9HV1dXjvGS5lL2fQjSwpaenY9myZZLdQp955hm8+OKLsuSk+yCH5JWXlydq5GFnZ4cRI0bImBEREZF58PX1RVJSkt7PLpWVlVi3bh1KS0tF8Y6ODjQ0NIhibHhFRERERERE5qSzsxN33nkn9u3bJ4r7+flhz549CAkJMXlOCoXC5HNSzwRBkCxuiYyMlCkbIiIi87Jw4UIEBgZK4mq1Gvv378fmzZslO7dzowwiIiIiIiKSS1dXF+655x7s3r1bFPfx8cGePXswcuRIk+fEtQTmhTUBIiKiniUkJOjdMEytVuPHH3/Et99+22tNwM/Pz6g5EhEREVk0hWJw/yGTmTZtWo+b9J45cwY7duy4pfuWl5dj/fr1ese8vb2RlJR0S/elwYFPymlQ27t3L+666y50d3eL4k888QRef/11kywgGTp0qGgHFkEQkJeXZ/R5qe90C1Th4eGwtraWKRsiIiLzMn78eDz66KN6v6x2dHTgiy++EH220S1QKZVK+Pj4GD1PIiIiIiIior7o7u7G8uXLsXPnTlHc29sbu3fv7rFYa2jDhw8XHefl5UGj0ZhkbupdWVkZmpubRTEubiEiIrrGwcEBDzzwABITE+Ho6CgZP3fuHL788kt0dHRoY1zcQkRERERERHJQqVRYsWIF0tLSRHFPT0/s3r0bo0ePNkkeujWB8+fPSzbzJvlUVFSgsbFRFGNNgIiI6Bp7e3vcf//9SEpKgpOTk2Q8Ly8PX3zxxQ1rAtwEg4iIiIhoYPjVr37V49hLL72EysrKm7pfd3c3fv/734u+L1xvzZo1oj4sZHnY8IoGrUOHDiEpKUnyP8CHH34Y77zzjsl2S7exsZEskCkqKjLJ3NS7lpYWlJaWimIsUBERkTlSq9W4evUqamtrJc08eyIIAtra2lBeXo7s7GwcOHAAW7duRVpaGmpqavo8t7e3N1auXIl7771X0rxKpVJh06ZNOHnyJABpgcrHxwdWVlZ9nouIiIiIiIjIWFQqFe69915s27ZNFHd3d8euXbswZswYk+WiO1dra6vkOzXJR3ejDF9fXzb0JiIis/TzZ4iWlhYIgtCna9RqNWpra1FYWIjjx48jIyMDmzdvxokTJ/rcgFOpVGLixIl44oknMHXqVCiV4tePLl68iM8++0zbQLKqqko0zsUtREREREREZGxqtRq//OUvsWXLFlHc1dUVO3fuRHR0tMly0a0JtLW1Sb4rk3x0awLe3t7w9fWVKRsiIqKe3WpNoK6uTlITOH78+E3VBCZMmIDHH38ct99+u6QmUFpaik8++QRNTU0AWBMgIiIiIhqoEhMTMW7cOL1jDQ0NeOCBB/r8XLOzsxNPPfUUzpw5o3d82LBh+OUvf3mrqdIgYS13AkTGcPz4cSxcuBBtbW2i+L333osPPvjAZM2ufjZ8+HDk5ORoj3V3ACH55OXliR7y2draYsSIETJmREREdE1LSwtycnJw+fJlVFVVoaamRrSrm6OjI1xdXeHq6gqlUgmNRgNBELR/2tvbUVdX12P347Nnz2LBggWYMGFCnz8bjRw5EsHBwfjuu+9w4cIFbVwQBKSmpqK9vR0NDQ2ia1igIiIiIiIiInOg0WjwwAMPYNOmTaK4i4sLMjIyEBsba9J8PD094ebmJqoXNDY2wt/f36R5kJQgCJLFLdwog4iIzIEgCCgqKkJJSQmuXLmCqqoqtLS0aMetrKy0dQMHBwdRzUCj0UCtVqOxsRGNjY16F7FkZ2cjOzsbd911F9zd3fuUk729PRYsWIBRo0Zh48aN6Orq0o5VVVVh3bp1WLp0qShPgLUDIiIiIiIiMi6NRoNf/epX2LBhgyju5OSE9PR0TJw40aT5uLu7w8PDA/X19dpYY2MjAgICTJoHSfVUEzD1ehMiIiJdgiCguLgYJSUlqKqqMmpNwMPDo0852dvbIz4+XlsT6Ozs1I5VV1dj3bp1WL58ubbx1c/8/Pxu8d8CEREREdHg8PP7Pn1RXFzc49ipU6e0m8/1JjIyEkOHDu3TuT9TKBR46aWXsHTpUtE7QD8rKSnBnXfeieeeew6JiYk9PkM7e/YsXnrpJclzt+vn+etf/wpbW9ubyo8GHza8okHn5+YNuv+zXrp0KT799FNYWVmZPCdXV1fRcW1tLRobG+Hm5mbyXOh/BEHAyZMnRbHw8HDY2NjIlBEREdE1eXl52LJlC7q7u3s8p62trV87vXV3dyM1NRWFhYVITk6Go6Njn66zsbHB8uXLkZaWhlOnTonG9uzZI/mSyUUrREREREREJDdBEPCb3/wGX3zxhSju6OiItLQ0TJ48WZa8XF1dRQ2viouLERERIUsu9D/5+fmSF3DZ8IqIiOTW2dmJ7777DgUFBT2eo1arUV9fL1o8e7MuXbqEDz/8EImJiYiKiurzdaGhobj//vvx1VdfiRbcNDQ04IsvvoAgCNqX3GxsbODp6XnLORIRERERERHdiCAIePzxx/HJJ5+I4vb29khNTcXtt98uS16urq6i7+xFRUV89mwGCgsLJZt88u+FiIjk1tXVhc2bN4s2qNZliJpAWVkZPvzwQyxatAjR0dF9vi4kJAT3338/vvzyS1FNoLGxEZ9//rmoJmBlZQUvL69bzpGIiIiIaDDYsWMH3nvvvX7f59///nefz33ttddw11133fQcERER+OMf/4iXX35Z73hdXR1+//vf4+2330ZcXBzCw8Ph6uqK9vZ2lJSU4PDhw8jOzr7hHL/61a8wbdq0m86NBh82vKJBJTc3F/Pnz5cUHZKSkvDVV1/B2lqe/+S9vb1Fx52dnfjss88QFBQEa2tr2NjYwNraGs7OzhgzZoykQRYZx4ULF3DlyhVR7GZe2iUiIjI0QRBw+PBh7N6922Rznj9/HtXV1XjooYf63PRKqVQiMTERzs7OOHDggDYuCAIOHTqE2NhYbQNJ7shCREREREREchIEAU8++SQ++ugjUdzOzg4pKSmYMWOGTJldqx2UlZVpj48fP47GxkY4ODiIageBgYEICwvjbuImIAiC6FkHAPj6+sLX11emjIiIiK41jdqwYQOqq6tNMl9HRwe+++47NDc3Y+rUqX2+zt/fHw8++CC++OIL1NXVaeMFBQXQaDQIDg4GcO13q1KpNHjeRERERERERIIg4A9/+APef/99UdzW1hZbt27F7Nmz5UkM12oCpaWl2uNTp06hubkZjo6OoppAQEAAwsPDWRMwAX01AW9vb27ySUREsmpsbMTXX399y5ti36zOzk5s2bIFTU1NmD59ep+v8/Pzw0MPPYQvvvgCtbW12nhhYSFUKhWGDx8OAPDx8YGVlZWh0yYiIiKinyn//z+D0WD9uQaAVatWoaKiAuvWrevxnIqKCslGxH2RlJSEJ598sh/Z0WDChlc0aBQUFGDu3LmoqakRxePj47Fp0yZt0wU5eHp6IiwsDPn5+dpYT13Ujxw5gt/85jdwcHAwZYoWR1+BysfHB2FhYTJlRERElk6tVmP79u04e/aswe+tVCrh7u4OT09PWFtb4/z586Lxuro6HDx4EAsWLOjzPRUKBebMmQNbW1v88MMPAICWlha0tbWhoKBAu8sZX/4gIiIiIiIiuQiCgOeeew7/+c9/RHEbGxts2bIFc+fOlSmzayZNmoTMzExoNBptrKcdWufNm3dTL5fSrSksLERlZaUoxn/vREQkp/Lycnz99ddobW01+L0dHBzg6ekJT09PlJeXS95f2LNnz01v2OXh4YEHH3wQH3/8sfZ+TU1NqKmpgZeXF5ydnVk3ICIiIiIiIqN54YUX8M9//lMUs7a2xrfffntT78YZw6RJk3DmzBlRTeD6tQXXi4uLw8yZM02VmsUqKSlBeXm5KDZ9+nQ2GyMiItlUVFTg66+/RktLi8Hv7eDgAA8PD3h6eqKyslK0cQUA7Nu3D2PHjoWbm1uf7+nu7o4HH3wQ69at0za9ampqwtWrV+Hl5QUXFxdunk1ERERENEA988wzsLe3x/vvvw9BEAxyz+XLl+OFF17gRnmkxYZXNChUVlZi7ty5ku7ls2fPxvfffw97e3uZMvufO++8E+vWrZM05NLV1NSEyspKjBgxwkSZWaaCggJcvnxZFJs5cyYLVEREJAtBEPDNN9/ofYElPDwcoaGh8PPzw5AhQ6BQKNDU1ITGxkY0NTVpC1oKhQJKpRIKhQIKhQI2NjbaopSbm5voS2B+fj62bdsmWiBz8uRJTJs2Dc7OzjeV++23347i4mIUFRWhrKwMAFBdXQ0fHx+Ehobe9P2IiIiIiIiIDOWNN97A66+/LopZWVnhm2++wcKFC2XK6n+GDh2KxMREpKSk9HpuXl4eGy8Zmb6NMjw9PREVFSVTRkREZOnKysqwfv16qFQqUdzR0RETJkzQ1g08PDzQ2toqqh10dXWJagY//7OzszM8PT3h4eEh2oSrs7MTO3bsQGZmpjamUqlw+PBhJCQk3FTeTk5OuOuuu/DJJ5+gtbUVV69eBXDt88zEiRPh7+/fj38rRERERERERPq99dZb+Nvf/iaKKZVKbNiwAcnJyTJl9T9+fn5ITk7G1q1bez03Ly+PDa+MTBAE7N+/XxTz8PDA2LFj5UmIiIgsXnl5OdavX4/u7m5R3MHBARMnTsSQIUPg5+cnqgn8XBfoqSbg5OSk3fhCtyaQnp4u2qhbrVbj4MGDSExMvKm8HR0dcdddd2HdunXamoAgCKwJEBERERENAk888QSioqLw17/+FVeuXLnl+7i7u+OZZ57B3XffbcDsaDBgwysaFJ544gltg4WfTZ06Fdu3b4ejo6NMWYk5ODjg3nvvxbp169Dc3NzjeVZWVnyYY2T6Fq14eXlhzJgxMmVERESW7uDBg5JmVwqFAvPnz8fUqVMlDRl9fHzg4+Nzy/OFhYXhwQcfxHvvvafdMa67uxtbtmzBXXfddVNNqhQKBRYvXoz33nsPbm5uaGpqgqurK9zd3REbG3vLORIRERERERH1R05ODp5//nlRTKFQ4IsvvsCdd94pU1ZS48ePR1NTk2RRha7AwEDTJGTBiouLJTu5z5w5kztJERGRLFpbW/Htt99Kml35+Phg5cqV8PDwEMVdXV3h6up6y58Z7OzscOedd8La2hqnTp3Sxk+ePImhQ4ciOjr6pjaPCgoKwvTp05Geng5fX180NDQgJCQEdnZ2rMsTERERERGRweXl5eFPf/qTKKZQKPDZZ59h6dKlMmUlNW7cODQ1NWHv3r03PI81AeMrLS3FpUuXRLHp06fDyspKpoyIiMiStbW14dtvv5U0u/L29sbKlSvh6ekpiv9cE7hVdnZ2WLJkCWxsbHDixAlt/MyZMwgICMC4ceNuqiYQEBCAGTNmIC0tDb6+vqivr9fWBLjBFBERERHRwBYXF4fJkydj/fr12LBhg3bju75wdXXF0qVL8dBDD0m+1xABbHhFg8C+ffuwefNmUWzChAlIT0+/qWYNpuDu7o5f//rXOHfuHFpbW3Hs2DF0dHSIzpk3b57ZNOkarMrLy1FRUSGKzZgxg4tWiIhIFiUlJdi3b58oZmNjg7vvvhsRERFGm9fT0xPjxo3D6dOntbHi4mJ88MEHSEpKksytVqtx9epVWFlZwdvbW1TEcnV1xfjx47F3715ERETA3t4elZWVmDp1qtHyJyIiIiIiIuqJIAh48sknoVarRfFPPvkEK1askCmrns2ePRvDhg1DeXk5Kisrcf78edG4q6srZs+eLU9yFuTo0aOiY3d3d+7kTkREshAEAd9//z2amppE8REjRmDp0qWwt7c32twzZ87E2bNntZ+j1Go1vv/+e+Tn52PRokWSdxlaWlpQX18PX19f2NnZicZmz56NL7/8Emq1GhMmTEBdXR38/Pz4PgQREREREREZlCAIeOqppyRNo9euXYv77rtPpqx6NnPmTAQFBaGsrAyXL19GXl6eaNzFxQVz5syRKTvLoVsTcHNzw7hx4+RJhoiILJogCNi6dSsaGxtF8dDQUCxduhQODg5Gm3vGjBk4c+aM9nOUWq3Gtm3bkJ+fj6SkpB5rAj4+PpJaxcyZM/Hll1+iu7tbWxPw9fWFk5OT0fInIiIiIhooHn/8cTz++ONyp3HLnJyc8Oijj+Lhhx/GyZMn8eOPP+L8+fMoKSlBY2MjOjs7YWdnB2dnZwQHByMiIgLTpk3D1KlTjfqeEw18bHhFA5pKpcITTzwhinl5eSE9PR1ubm4yZXVjTk5OuO2223Dq1ClJs6sRI0ZgypQpPV6r0Whw+fJllJSUoKqqCg4ODoiKisKwYcNuqnO6pbt+R1qAi1aIiEg+LS0t2Lx5MwRB0MYUCgVWrVqF4cOHG33+mTNnIicnB11dXdpYa2srNm7ciKioKLi4uKCjowNXr15FVVWVtpg1YsQILFy4EF5eXtrrAgMDMXnyZNjY2AAAhg0bZtQCGxEREREREVFPtm7dij179ohizz33HNasWSNPQn0QGhqKwMBAfPTRR6K4QqHAXXfddcPv2K2trbh48SJKSkrQ1dUFPz8/jBs3js0kbkJDQwMKCwtFMe7kTkREcjl48KDk91JoaChWrVpl9E2c3NzcMGnSJMmiz3PnzuHSpUuIjo5GV1cXWlpaUFlZqV2AY2dnh7i4OEyaNEmbo5WVFWJiYlBfXw+FQgF/f3+MHz/eqPkTERERERGR5UlNTcXOnTtFsT/84Q94+OGHZcqodyEhIXprAgBw55133vD5/s81gYsXL6KzsxNDhgxBbGwsawI3oampCfn5+aLYtGnTWBMgIiJZ/PTTT5LfS8OHD8eqVauM/rvJ1dUVkydPxuHDh0XxvLw8lJWVISYmBl1dXWhtbUVlZSUaGhoAALa2tpgzZw4mT54sqQnU1tZqawITJkwwav5EREREBEChuPZnMBqsP9cAZmNjg6lTp2Lq1Klyp0KDBBte0YC2du1a5OTkiGKvvPIKfHx8ZMqob2pqapCRkSGKOTo6YsmSJXobVwmCgCNHjuDHH3+UNMk6ceIEfH19MWnSJERHR0t2TSWx9vZ2yX8zEydOZIGKiIhMrrm5GZ9//jlaWlpE8bi4OJM0uwKuNX1csWIFvvvuO7S2torGdH9fXq+oqAgffPABpk+fjunTp8Pa2honTpzQNrsCru00R0RERERERGRqHR0dePrpp0WxwMBAPPfcczJl1He7du1CTU2NKDZt2rQenxPU1tYiLS0NxcXFonhWVhb27t2LqKgoTJo0CUOHDuWmGb04ffq0qCG5nZ0doqOjZcyIiIgs1fHjx7F3715RzNnZGXfddZfRm139bP78+ejo6MDZs2dF8ebmZsmil591dnYiPT0dZ8+eRWJiIgICAtDS0oKGhgbR5xDWDoiIiIiIiMiQOjs78dRTT4li/v7++Mtf/iJTRn33ww8/4OrVq6LY7bffjtDQUL3n19XVIS0tDUVFRZKxffv2YcyYMZg0aRICAgJYE+jF6dOnodFotMe2traIiYmRMSMiIrJUJ0+exO7du0UxJycn3H333SZb5xYXF4f29nacPn1aFG9paemxJtDV1YWdO3ciMzMTiYmJCAwMRGtrK+rq6lgTICIiIiIioj5jwysasBoaGvDCCy+IYtHR0fjVr34lU0Z9o1arsXnzZnR3d4viS5Ys6fFBzp49e3Do0KEe71ldXY20tDTs3r0bM2bMwNSpU9nAqQeZmZlQqVTaYysrK8TGxsqYERERWaKGhgZ8/vnnqKurE8VHjRqF6dOnmzSXkJAQPProo9i+fTvOnz/f5+tUKhX279+PkydPQhAEScMsZ2dnQ6dKRERERERE1Kt33nkHJSUlotibb74JJycnmTLqm/Pnz+PkyZOi2NChQzFnzhy95zc0NOCzzz5Dc3Oz3nGVSoWzZ8/i7NmzGDZsGBYuXAg/Pz+D5z0YqNVqycu7MTExsLW1lSkjIiKyVIcOHZIsbFEoFLjnnntM+szdysoKS5YsQVhYGLZv34729vY+X3v58mV8/PHHcHd3R1NTk2SctQMiIiIiIiIypHfffVfSAOqNN94w++YK+fn5OH78uCjm5+eHuLg4vec3NjZi/fr1aGxs1DuuUqmQmZmJzMxMBAUFYeHChfD39zd43oOBRqOR1AS46TgREcnhp59+wq5du0QxhUKBu+++26SfZaysrJCcnIxRo0Zh+/btaGtr6/O1VVVVWLduHTw8PFgTICIiIiIiopvGhlc0YKWkpEiaRPznP/8x+0ZPu3fvxuXLl0WxSZMmISwsTO/5R44cuWGzq+t1dnZi9+7dyMrKQlJSEoKCgvqd72CTk5MjOh49erTZL3QiIqLBob29HRUVFSgvL8fp06clRR13d3fceeedsuyu5uTkhOXLl+Ps2bNIT09HV1dXn69taWnRGx85cqSh0iMiIiIiIiLqs08++UR0PGPGDCxfvlymbPqmsbER27ZtE8VsbGx63LW1tbUVX3zxRY/NrnRdunQJH330EaZMmYLZs2ezkZOO0tJSyfONCRMmyJQNERFZEo1Gg5qaGlRUVKCoqEhSywaAuXPnYvjw4aZPDkBkZCSCgoKwbds2FBYW9vk6QRBQX18vibu5ucHHx8eQKRIREREREZGF+/TTT0XHU6ZMwapVq2TKpm+ampqwdetWUczGxgb33HMPrK2ly3va2trw5Zdf9tjsSldZWZm2JjBnzhzWBHRcunRJ8u4mawJERGQKgiCgpqYG5eXlKC4uRnZ2tuScOXPmIDQ0VIbsrq2vCwoKQkpKCvLz8/t8nSAIkvWdAODi4gJfX19DpkhERERERESDDBte0YCl+7Ln/PnzMWvWLJmy6Zvc3FwcOXJEFPPx8UF8fLze87OysrBz505J3MfHB0FBQbh48aLeh0LV1dVYt24dJk6ciLlz58LBwcEwP8AgoPvvKzo6WqZMiIhoMFOr1bhy5QrKy8tRXl6OiooK1NbW9ni+l5cXVq9eDUdHRxNmKaZQKBAbG4uQkBCcOXMGV69ehZ2dHWxtbeHs7IyhQ4fC29sbR48exbFjx6DRaHq81/Tp0zFu3DjTJU9ERERERESEa82mdZsx/O1vf5OluXRfqVQqbNq0Ce3t7aJ4QkICvLy8JOd3dXVhw4YNkucMtra2CA4Ohq2tLc6fPw+1Wi0a12g0+Omnn5Cbm4uFCxf2uAmHJdKtGwwZMgRDhgyRKRsiIhrMWlpatDWD8vJyVFZWorOzs8fz4+LiMG3aNBNmKOXi4oJVq1YhNzcXBQUFUKvVsLOzg52dHby9vREQEIC2tjakpaXh6tWrPd7H3d0dK1euhFKpNGH2RERERERENJh1dXXhwoULotjf/vY3s/7uqVar8e2336KtrU0UX7BgAby9vSXn/1wT0P3ObWtri2HDhsHe3h55eXmSmoAgCDhy5Ii2JhAeHm74H2aA0q0J+Pj4wN/fX6ZsiIhoMGtpadHWAyoqKlBRUXHDmsDs2bMxY8YME2Yo5ezsjBUrViAvLw/5+fmSmsDQoUPR0dGBtLQ0VFdX93gfNzc3rFixQu8GX0REREREREQ/Y8MrGrDOnz8vOp44caJMmfRNTU2NZDcWKysr3H333bCxsZGcX1RUJDkfABYvXozY2FgA14pRxcXFOHHiBC5cuABBEETnnjx5Enl5eZg/fz6io6PNuoBnCiqVSlIgdHd3lycZIiIa0DQaDS5cuICcnBy0tLRAEAQIggCNRgO1Wo2amhqoVKo+3cvX1xerV6+Gs7OzkbPuG3d3d8yZM6fH8QULFiAmJgapqakoLy8Xjbm4uCA+Ph5jx441dppEREREREREEgUFBZLn5Oa+K/euXbtQUVEhikVGRmrrANdTq9XYtGmT5HxfX1/cf//92s0vWltbcebMGZw4cUKy43tDQwM2bNiAyMhIzJs3D56engb+iQae5uZm0bGHh4dMmRAR0UDX1NSEkydPory8HGq1GhqNRls/aGlpkfxevpE77rgDU6ZMMWK2fadQKDBmzBiMGTOmx3N+/etf48iRIzhw4AC6u7tFYxEREUhKSoKTk5OxUyUiIiIiIiILUlRUJGn0ZO7rCX744QeUlZWJYhEREXprGWq1Gt99953kHT0fHx/cf//92s01W1tbcfbsWZw4cQINDQ2icxsbG/H1119j9OjRmDdvnt6NNiwNawJERGQoTU1NOHXqFMrLy6FSqUQ1gdbWVsnv5RuJj4/H7bffbrxkb4JCoUBkZCQiIyN7POeRRx7BsWPHsG/fPklNIDw8HElJSWazNoKIiIhosFMoFGa9KWx/DNafi4j+hw2vaMDS3ZHFnHceEQQBmzdvRldXlyi+cOFC+Pn5Sc6vrKzEN998A41GI4rPmzdPtMhFoVBgxP/H3n2HR1Wn7x+/T3ovEEJJ6CWhhC4gBFSqiEgRAXUVG6uufe2i66qI6xZ/KBZULGBZFFCQjvQmqJRAIHQIJXTSezLz+8Mvs5zM0JM5Ke/Xdc21nOdz5px7XEWcJ+f5NG6sxo0b68iRI5ozZ46OHj1qek92drZmzpypFStWqGvXrmrbtq3LAVtVQXZ2tlPN19fXgiQAgIoqPz9fmzZt0vr165WamnrV14uOjtYdd9zh+OGTiqJWrVq6//77deTIEZ06dUpBQUEKDQ1VtWrV2IkFAAAAAGCZkn2D6Ojocj1YYffu3fr1119NtWrVqumWW25xatTb7Xb99NNP2rNnj6keGhqqP/3pT45hV5IUGBio+Ph4denSRatXr9aqVaucHvrZvn27kpKS1LJlS8XHx7vsVVQVWVlZpmP6BgCAy3XkyBGtW7dO27Ztc+rxXy5PT08NGDBA7du3L6V07uHp6an4+Hi1a9dOycnJstlsCg0NVXh4OA+1AAAAAADKRMmeQM2aNRUaGmpRmovbu3ev1q1bZ6qFh4dr0KBBLnsCc+bM0a5du0z1kJAQ/elPfzL9vGFgYKC6deumzp07a+3atVq5cqXTZp1JSUnasWOHWrRoofj4eNWuXbuUP13FQU8AAHC1UlJStG7dOiUmJpZKT6B///7lfmhnSZ6enuratavatGmjgwcPqri4mJ4AAAAAAOCyMfAKFVJBQYH27t1rqsXGxlqU5uJSU1OdBlG1bNnS6YdUi4uLtWHDBi1btsxpOFaXLl3UrVu3894jKipKo0ePdkxIL/n+1NRUzZ07VytWrFCXLl3UsWNH+fn5XeUnq1j8/f1lGIbsdrujtm7dOvXr18/CVACA8qaoqEgZGRlOr/T0dB04cED5+flXfG0vLy/Vrl1b0dHRql+/vmJiYirspGnDMBQdHa3o6GirowAAAAAAIEnasWOH6bg89w0kadu2bU61ESNGOH13f/LkSS1ZssTp8wUEBOiuu+5SSEiIy+t7eXnp+uuvV6tWrTRnzhwdOHDAtG6325WYmKjExEQ1bdpU8fHxqlevXoX9ruJKlRyKtn37dvXs2bNcPxgFAHAvu92unJwcl72DkydPKiUl5aquHxoaqujoaEVFRalFixYKCwsrneAWCAwMvOCu7wAAAAAAlJbK0BMYPny4aUMLSTp16pSWLFmipKQkU93f31933XXXeb+79vLyUo8ePdSyZUvNnTtX+/btM63b7XZt27ZN27ZtU5MmTRQfH6/69etX+Z5AUlKS0tLSKvT3MQCA0nWhnsCpU6d05MiRq7p+aGiooqKiFB0drebNmys8PLyUkrtfYGCgmjdvbnUMAAAAAEAFxcArVEj79u1z2o08JibGojQXFxgYKA8PD9Pk9lOnTiknJ0eBgYGy2WzasmWLli9frrS0NKf3t2rVSv369btoQ8nDw0PXXnutWrRooXnz5jntXCP9sSvJ4sWLtWrVKnXq1EndunW76OCrs8OzfHx8LuHTll8+Pj6KiYkxNTjXr1+vLl268OAKAFRxNptNe/bs0caNG7V7926nP2dcqYiICEdDKioqSjVr1pSnp2epXBsAAAAAAJiV/E68PPcNJCk4ONiplpqaqsjISBmGodTUVC1fvlxbtmwxbeQgSd7e3rrjjjsUERFx0ftERERo1KhR2rJlixYuXKicnBync3bv3q3du3erbt26uuGGG9SoUaMLXtNutys3N1d+fn7y8PC4aIbyrGXLllq1apXjr3FhYaFWrFihW265xeJkAACrZWRkaPPmzdq8ebPOnDlTKtf08fFRVFSUqXfg6s8EAAAAAADgwipLT6BWrVoyDENpaWlavny5EhISnHoCXl5euv3221WjRo2L3qd69eq66667tHXrVi1YsMBlT2DPnj3as2ePoqOjdcMNN6hx48YXvGZl6gm0aNFCK1eudDzXUVRUpOXLl2vw4MHWBgMAWC4jI0MJCQnatGkTPQEAAAAAANyAgVeokEo2qCIjI8v1rhq+vr6KiorSoUOHHLXjx49rwoQJqlevnk6fPq3Tp0+7fG+jRo00ePDgy9o9JTQ0VCNHjtTu3bu1cuVKHT582Omc/Px8rVq1Sps3b9aAAQNUv359ZWZmOl6nT5/W8ePHdeLECaWlpcnDw0PXXHON+vTpIy+vivtbR9++fU2DTGw2m3bv3q2OHTtanAwA4E52u12ZmZlKS0vT7t27tXnzZmVmZl72dWrXrq24uDh5e3vLw8NDhmHIw8NDwcHBqlOnjtPuawAAAAAAoOxUtIdbGjVqpFWrVplqU6dOVe3atRUUFORy8w/pj80vbrvtNkVHR1/yvQzDUJs2bdS0aVOtWbNGv/32m2Ozi3MdOnRIU6ZMUevWrdWnTx/ZbDZH3yA9PV0nTpxwvAoKClStWjUNHjxY9erVu/y/AOVEzZo11aFDB/3++++O2o4dOzRw4MAqt7M9AFR1BQUFSk9P1/Hjx5WQkKA9e/Y4PWB6Md7e3mrTpo1q1qzp6BkYhiEvLy/VrFlTERERFf7BUAAAAAAAyoOSPYHY2FiLklyaxo0ba8WKFaba999/f9GegGEYuu222y7re3jDMNS6dWtTTyA/P9/pvMOHD+urr75Sq1at1LdvX8fPVZ6vJxAeHq5BgwapQYMGl/35y4vIyEh17NhRv/76q6O2c+dO2e12egIAUMWc7QmcOHFCCQkJ2r179xX1BFq3bu0YYHluTyAyMlI1atSgJwAAAICy5fF/r8qosn4uAA4Vd2oNqrQdO3aYjst7g0qSWrdubRp4JUl5eXnatWvXed8TGxurIUOGXNGAKcMw1KxZMzVt2lQHDhzQ6tWrtXfvXqfzMjMzNXXq1Itez2azaf369Tp48KBuu+02VatW7bIzlQfVqlVTo0aNtHv3bkft0KFDDLwCgErEbrcrOztbWVlZysrKUkZGhtLT05WWlqb09HSlp6crIyPD5Q+HXArDMBQbG6suXbqoXr16/JADAAAAAADlgN1ur3C9g3r16ik0NFTp6emm+tGjR8/7Hn9/fw0cOFDNmjW7onsGBASoT58+io+P12+//aZ169a53N19y5Yt2rJly0Wvd+bMGX355Zfq2bOnunXrVmG/J7n22mtNA69ycnJ05swZVa9e3cJUAIDSVFhYqMzMTGVlZSkzM1MZGRmmvkFaWppyc3Ov+PohISHq1KmTOnTowGYYAAAAAACUMVc9gfK+CUZ0dLTCw8OVmppqql+oJ+Dn56eBAwde8Wfz9/dX7969TT2B7Oxsp/MSExOVmJh40eulpqZq8uTJuuGGG9S9e/cK2xPo2rWraeBVbm6uTp48qcjISAtTAQBKU2FhoaMfkJWVZeoFnP21qz75pQoODnb0BAICAkoxOQAAAAAAVQcDr1AhVbRd2iWpY8eOys/P14oVK1RYWHjBc+vVq6devXqpfv36V31fwzDUsGFDNWzYUCkpKVq9erWSkpIue+r8WUePHtXHH3+sgQMHqlWrVledzwpFRUWm4yv9awEAsE52drZ27dqltLQ00wMqWVlZys7Ols1mu+p7+Pr6KiQkxPQKDQ1Vw4YNFR4eXgqfAgAAAAAAlJajR48qKyvLVCvvvQNPT0/dfffdmjVrlg4ePHjBc318fNSlSxd17dpVfn5+V31vf39/9ejRQ9dee602btyotWvXOg3eulQ2m02LFy9WcnKyBg8erMDAwKvO526uvkuidwAAFYvdbtfBgwd1+PBhU8/g7P/m5+df9T0Mw1BwcLBT7yAiIkKNGzeWp6dnKXwSAAAAAABwMadOnXIaHFXeewIeHh666667NGvWLCUnJ1/wXB8fH3Xu3Fldu3YtlcHafn5+6t69u7p06aLNmzdrzZo1SktLu6Jr2e12LV26VMnJyRoyZIiCgoKuOp+7udoslZ4AAFQsdrtdhw4d0qFDhxybZJ/bFyiLnsDZX9eoUYOeAAAAAAAApYCBV6iQKuLAK8MwFB8fr9atW2vx4sUud0avXbu2evXqpcaNG5fJjid16tTR8OHDderUKS1YsEB79uy5ouvk5+dr+vTpSkxMVP/+/RUaGlrKSctObm6u04NDDRo0sCYMAOCyZWVlac2aNfr9998vOkDySkRFRal9+/Zq3rw5u60AAAAAAFCBlOwb+Pv7Kzo62qI0l6569eq69957tW3bNv38889OQ6e8vLx0zTXXKD4+vkwGSXl7e6tz587q2LGjNm3apMWLFysvL++KrrV79269//776tOnj9q1a1ehdnYv2bMJDg5WtWrVLEoDALgcdrtdu3fv1ooVK3TkyJFSv76vr69atWqldu3aqU6dOvLw8Cj1ewAAAAAAgMtTsifg4+NTIX4evFq1arrnnnu0fft2LVq0yKkn4Onp6egJlMUgKW9vb11zzTVq3769EhIS9PPPPys3N/eKrrV3715HT6B9+/YVuicQGBioGjVqWJQGAHA57Ha79u7dq+XLl+vw4cOlfn0fHx9HTyAqKoqeAAAAAAAAZYiBV6iQduzYYTqOjY21KMnlCwkJ0dChQ9W9e3clJycrNzdXNptNUVFRZTboqqSIiAjdeeed2rp1qxYtWmTa9T4gIMAxdT4yMlI1a9ZUQECAFixYoFOnTpmus2PHDu3bt0+9evVSp06dKkSjavv27aZdWby8vNSiRQsLEwEALkVZDbry8vJSWFiYmjRpovbt2ysyMrLUrg0AAAAAANynZN8gJiamwvzwqWEYatWqlWJiYrR3716lpqYqPz9fAQEBio2NVUhISJln8PT0VMeOHRUbG6v58+dr+/btjt3Mvby8FBwcrKCgIFWvXl2RkZGKjIzU4cOHtWLFCtOu57m5ufrpp5+UkJCgW265RdWrVy/z7FfLbrc7PdwSFxdXYf7+AYCq6uygq+XLlyslJaVUrx0YGKiaNWuqdevWatGihXx8fEr1+gAAAAAA4OqU7Ak0bdpUnp6eFqW5PIZhqGXLlmrWrJlTTyAmJsYtG1F7enqqffv2atasmRYuXKjExETHd/2enp4KDg52bAxRs2ZNRUZG6siRI1q+fLmpJ5CXl6fZs2c7egIRERFlnv1queoJtGrVip4AAJRzdrtde/bs0fLly0t984uAgABHT6Bly5b0BAAAAAAAcBMGXqHCOXXqlM6cOWOqxcTEWJTmytWoUcPSnUAMw1Dr1q0VFxenM2fOyNPTU0FBQfLycv3bwp///GfNmTPHqcFTUFCg+fPnq7CwUPHx8e6IflV2795tOm7WrJn8/PwsSgMAuJicnBytWrVKv/32m4qKii7rvYZhKDAwUMHBwQoNDTW9wsLCFBoaqsDAwAoxsBEAAAAAAFxYyd3cK2LfwNvb2/INPoKCgnTbbbcpLy9PGRkZCg4Olp+fn8vvT5o0aaL69etrxowZpo01JCk5OVmff/65Hn30Ufn7+7sr/hU5efKk0tPTTbXWrVtblAYAcDFnd29funTpFQ268vb2djy0ebZXcPZ/z768vb3LIDkAAAAAACgtJXsCVn+3fiXKS0/g1ltv1c0336z09HQFBQXJ39//gj2B6dOnO/UEDh486OgJBAQEuCv+FTl9+rRSU1NNtTZt2liUBgBwKc72BK5k0JWrnkDJvgA9AQAAAFRshlRpn4+trJ8LwFkMvEKFU7JB5e3trQYNGlgTphIwDOOSdlj38fHRkCFD1LRpUy1YsEDZ2dmm9a1bt5brgVdnd/jdv3+/qW51oxAA4FpRUZF++eUXrV69Wvn5+S7P8fDwUJMmTRQaGqrg4GAFBQUpKCjI8evAwEB23QIAAAAAoIqoDAOvyhM/P79L2iyiYcOGeuihh7RgwQIlJiaa1rKzs7Vv3z61bNmyrGJetbPD1s8VGhqqmjVrWpQIAHAhx44d08KFC516vucKDw9XvXr1TP2Cc3/t6+vrxsQAAAAAAKAs0BMoXb6+voqMjLzoeQ0aNNDDDz+sBQsWaOvWraa1nJwc7dmzp1xvKJGbm+vUEwgODlbt2rUtSgQAuJDjx49r4cKF2rdv33nPCQsLU/369Z16AWf/18fHh82xAQAAAAAopxh4hQpnx44dpuOmTZvKy4u/ld3BMAzFxcWpSZMmmj9/vrZs2eJYK7n7eXly+PBhLVq0SAcPHnRaa9iwoQWJAAAXcuzYMf344486fvy4y3UPDw+1bdtW3bt3V3h4uJvTAQAAAACA8qhk74DNDtwnKChIw4YNU5s2bTRr1izTzu7ltXdQWFioX375RWvWrHEatt6oUSN+6BkAypni4mKtWrVKK1eulM1mc3lOtWrV1KNHD7Vu3ZrNMAAAAAAAqORK9gQYeOU+gYGBuvXWW9W2bVvNnDlTmZmZjrXy2hM4uwHrmjVrlJeXZ1qjJwAA5Y/NZtPq1au1YsUKFRcXuzynWrVq6t69u1q3bi1PT083JwQAAAAAAKWBKUGocNiRxXr+/v667rrrTAOv8vLylJ+fX652xM3JydGSJUu0YcMGl+tRUVEKDg52cyoAwPkUFxc7mlOuHlhh0BUAAAAAAHAlNzdXycnJphq9A/dr2rSpGjdurISEBEctIyPDwkSu7d69W/PmzVNqaqrLdYalAUD5cuLECf344486evSoy/Xq1aurR48eiouLY9AVAAAAAABVQEFBgfbt22eq8b2u+zVu3FhNmjTRpk2bHLXy2BPYu3ev5s6dqzNnzrhcp58EAOXLyZMnNXPmTB05csTlOptfAAAAAABQeTDwChUOA6/Kh5CQEKdaZmZmuRh4ZbfbtXnzZv3888/KyclxeU7NmjU1ePBg9wYDAJzXiRMnNHPmTKWkpDitGYahuLg43XDDDQy6AgAAAAAATvbs2SO73W6qNWvWzKI0VVvJ3kF5erglPT1dCxYsUFJSkst1T09PdevWjb93AKCcsNlsWrt2rZYtW+ZyB/eQkBDdcMMNatOmDQ+1AAAAAABQhezbt8/puwKeJ7BGee4JZGRkaOHChdq2bZvLdQ8PD3Xt2lXNmzd3czIAgCs2m03r1q3T0qVLVVRU5LQeHBysG264QW3btqUnAAAAAABAJcHAK1Q4O3bsMB2zI4s1vL295e/vr9zcXEctIyNDERERFqaSjh8/rrlz5+rgwYMu18PCwnTDDTewwy8AlBPFxcVau3atli9f7vKBlZo1a2rQoEGqU6eOBekAAAAAAEBFULJvEB0draCgIIvSVG3l8eGW4uJirV+/XsuXL1dBQYHTOsPWAaD8OX78uGbPnq3Dhw87rXl4eCg+Pl7du3eXt7e3BekAAAAAAICVSvYEatWqpdDQUIvSVG0lewKZmZkWJfkfm82m9evXa9myZS57ApIcPYFq1aq5OR0AwJUTJ05ozpw5Lp8DMwxD8fHx6tGjBz0BAAAAwBXD+ONVGVXWz4Uqo6ioSLm5ucrPz5efn5/8/f3l6elpdaxyhYFXqFAKCwu1b98+U40dWawTEhLiNPDKKsXFxVqyZInWrVsnm83mtO7j46Prr79enTp1kpcXv/UBQHmwf/9+zZ07V6dOnXJaO/vAynXXXccf4AEAAAAAwAXt3LnTdEzfwDrlbeBVSkqKZs6cqRMnTrhcr1evnm666SbVqlXLzckAAK7k5+dr+fLlWr9+vcueb40aNTRkyBA2yQAAAAAAoAqjJ1B+lLeewNGjRzVz5kwdP37c5XrdunV10003qXbt2m5OBgBwpaCgQCtWrNAvv/zisicQERGhwYMHKzo62oJ0AAAAAABcWEZGhhITE7Vjxw4dOXLE8Tpx4oSys7NVXFzs9B5PT08FBgaqVq1aqlOnjqKiohQdHa2YmBi1atVKwcHBFnwS6zD1BRXK3r17VVRUZKrRpLJOSEiIqSFkVZPKZrNp+vTpSkpKcrneokUL9evXj917AKCcyMrK0qJFi7RlyxaX6zVq1NDgwYMVFRXl5mQAAAAAAKAiKrmbO30D67jazd1ms8nDw8PtWQ4dOqQpU6aosLDQaS0gIEB9+/ZVmzZtZLALGABYzm63KykpSQsWLHDZczYMQ127dtUNN9zA5kYAAAAAAFRx9ATKj5I9gaysLBUXF1uyyemRI0c0efJkFRQUOK35+/urT58+ateuHT0BACgH7Ha7du7cqfnz5ys9Pd1p3TAMdenSRT179pS3t7cFCQEAAAAAcHb8+HGtXLlS69atU2Jiog4ePOh0jt1uv+A1ioqKlJ6ervT0dO3atctpvV69eoqLi1Pnzp3Vo0cP1axZs9Tyl0f8JCAqlFOnTpmOPTw8lJeXZ1EalGxS7d+/Xz169HBrBrvdrp9++snlsKvw8HDddNNNatq0qVszAQBcs9ls+v3337V06VKX//42DEPXXnutevbsyQMrAAAAAADgkpXsHbgacAT3KNk3sNvtSk5OVsOGDd2a4/jx4/rmm29c/r3QoUMH9erVSwEBAW7NBABw7cyZM5o3b5727Nnjcr1atWoaMmSI6tat6+ZkAAAAAACgPKInUH6U7AlI0oEDB9S4cWO35jhx4oS+/vprl8Ou2rdvr969e9MTAIByIjU1VfPnz3f5UK/0R09g0KBBql+/vpuTAQAAAADgbMuWLVq0aJFWrlyp3bt3O+oXGmx1KUP37Xa7y2skJyfr4MGDmjt3riSpadOm6tGjh/r27avWrVtfwSco35gkgAolNjZWnp6eKi4ulvTH4Ixx48ZpwoQJFiermurWrasNGzY4jvfv36/Dhw8rOjrabRkWL16szZs3m2qenp6Kj49XfHw80/wBoJxISUnRnDlzlJKS4nK9Tp06uvnmm1WnTh03JwMAAAAAABVd69attXDhQsfxl19+qTFjxvBDsBYICAhQtWrVdObMGUdt1apVbh14lZ6erq+++spp4HqtWrV08803u7WHAQA4v6KiIq1Zs0arVq1SUVGR0zo9XwAAAAAA4EpcXJzmzJnjOP7qq6/08ssvq1GjRhamqpr8/f0VERFhGkK2cuVKtw68ysjI0FdffaXc3FxTvWbNmrr55psZog4A5URRUZF++eUXrVy50uWwSk9PT3Xr1k3du3enJwAAAAAAsNSxY8c0a9YszZo1S/v375fkPODqUodalXT2fRd6/7nv27Vrl3bv3q3PPvtMDRo00ODBg3XLLbeodu3al/RZyjsPqwMAlyMiIkL33nuvqfbxxx8rOTnZokRVW6tWrRQcHGyqrVy50m33P3nypNasWWOqeXl56a677tINN9zAl5wAUA7k5eVp7ty5+vTTT10Ou/Lz89OAAQP0wAMPMOwKAAAAAABckUcffVQ+Pj6O48LCQr3xxhsWJqq6DMPQtddea6rt27dPhw8fdluGJUuWKCsry1Rr2rSpRo8ezbArACgn9u3bp48++kjLli1zOeyqUaNG+stf/kLPFwAAAAAAOHnkkUfk5+fnOC4qKtLrr79uYaKqrWRPIDk52a3PdixdulSZmZmmWpMmTTR69GiGXQFAObF//35NnDhRS5YscTnsqmHDhnr44YfVs2dPegIAAADA5fKo5C/AjdasWaPRo0erZ8+eGj9+vPbt2ye73e4YQGUYhuMlybF2vpcrl/Ke891n//79Gj9+vHr16qXRo0c7zVmpiPjHHBXOK6+8woMr5YSXl5e6du1qqu3atUvHjh1zy/0TExNNxx4eHho+fLgaNGjglvsDAM7v2LFjmj9/vt5991399ttvLv9w3rp1az366KO65ppr5OHBH0sBAAAAAMCVqVevnh566CFT7csvv9Tu3bstSlS1tWvXzrLNMgoLC5WUlGSq1a9fX8OHD5enp6dbMgAAXCsoKNDmzZv1xRdfaMqUKTp9+rTTOcHBwRo2bJjuuusuVa9e3YKUAAAAAACgvIuKitJf/vIXU+2rr75y+m4Y7tGmTRuFhISYaqtWrXLLvYuKipz+f69bt66GDx8uLy8vt2QAALhWWFiohIQEffnll5o8ebJOnTrldE5QUJBuvfVW3X333YqIiLAgJQAAAACgqissLNSMGTM0cOBAPfDAA1q9erVsNpvsdrtp8JRhGE7DqUqul8brYvew2+2y2WxavXq1HnjgAd18882aPn26CgoKrP5LeUWYLIAKp169enrwwQdNtS+//FKbN2+2JlAV16FDBwUEBJhq7npwpWSDqlOnTmrWrJlb7g0AcJaXl6fffvtNn3zyiSZOnKj169crNzfX6bwaNWronnvu0dChQxUUFGRBUgAAAAAAUNm8+OKL8vf3dxwXFxfrueeeO+8OOSg759ss4+jRo2V+771795p2BTYMQ7fddhs7AQOARex2u44cOaLZs2frP//5j2bOnKnk5GSn8wzDUJcuXfToo4+qVatWjt3pAAAAAAAAXHn++ecVGBjoOLbZbHr22WfpCVjAy8tL3bp1M9X27NmjI0eOlPm99+3bp/z8fMexYRgaPny4aXN1AID72O12paSkaM6cOfr3v/+tH3/8UQcOHHA6zzAMde7cWY8++qji4uLoCQAAAAAA3K64uFj//e9/1atXL7388svavXu305ApSY6aJKfhU+eul8brYvc4d/1sbc+ePXrllVfUq1cvffvttyoqKnL3X8qrwrYFqJBeeuklTZo0yTFEo7i4WEOHDtXvv/+uatWqWZyu8th84MwlnVe9fgvt++V/O7EcW7tBRkgdNY1tUSo52jZw/v80PT1dJ06cMNVatCid+wEALl9iYqJmz55t+uGBkry9vdWjRw917dpVnp6ebkwHAAAAAAAqu1q1aunxxx/X22+/7ajNnDlT77zzjp5++mkLk1U+8zYcvug5hUZNHTxTqPy8/w1Df+Pdz3XjkDvk5VU6w6du6hDtVNu9e7fpuH79+gxcBwCL5Ofna/r06U6/N5cUHR2tAQMGqHbt2m5KBgAAAAAAKrrIyEg9+eSTevPNNx21uXPn6u2339YLL7xgYbLK5z+v/nzRc4qLi/T7+iMqKMhz1Lb8+g91bt9fXp6l0xN4+rU+TrWS3zvVrVtXwcHBpXI/AMDlyc/P1w8//KCdO3de8LyoqCgNGDBAderUcVMyAAAAAAD+x263a9asWfrggw90+PBh0yYK5w5kLjn46mztXLVr11ZMTIwaNmyomjVrKjIyUrVq1VL16tXl5+fnePn4+Cg/P195eXnKz89Xbm6uTp06pRMnTujYsWM6fvy49u/fr507d+r48eOme7jK4GoY1smTJ/XGG2/os88+02OPPaZBgwZViAHTDLxChVSrVi099dRTGjdunKO2f/9+3XHHHZo7dy5DNNysVdv2Stj4qwrOGXKycskCVa8RqWrVI8rknq4GqkRElM29AAAXlpCQoJkzZ15wd7TY2FjdeOONCgsLc18wAAAAAABQpTz33HP65JNPlJqaaqq1a9dOPXv2tDBZ1ePt7aPYuHZK+G2to5Z+5rR+XbVY115/Y5k1UUv2DugbAIA18vLy9PXXX+vw4fMPSQwMDFTPnj3Vvn37CvHDNQAAAAAAoHx55plnNHHiRJ0+fdpRGzNmjNq3b6++fftamKzq8fT0UoPoltq1b4OjlpWdpu271ikuNr7MvvspKCgwHVevXr1M7gMAuLD8/Hx9/fXXOnTo0HnPCQgIcPQEPDw83JgOAAAAqOQM449XZVRZPxcs88svv2jcuHHas2eP43l4V8OkztbPfWY+KChIHTt2VOfOnRUXF6eYmJjLGr5/dvjVWQ0aNHB5Xnp6unbu3KmtW7dq/fr12rBhg7Kzsx3r58t79vjIkSN68cUXNWnSJI0ZM0bXXnvtJWe0AgOvUGH97W9/09KlS7Vu3TpHbeHChfrb3/5m2q0FZc/X10/druulZYvmOWqFhYX6ee5MDR15t7x9fEr9ntWrV5e3t7cKCwsdtUOHDikmJqbU7wUAOL/Nmzdr1qxZLoddhYSEqG3btmrbtq2qVatmQToAAAAAAFCVVKtWTV999ZUGDhzo+K7CZrNp+PDh2rBhg+rXr29xwqoltnUHJe/bpbTTpxy1/buSFFk7Wk1i48rknrVq1VJiYqLj+EI/VA0AKBt5eXn66quvdOTIEac1wzDUuHFjtW/fXs2aNZOXFz+yAgAAAAAArkxYWJi+/vpr3XTTTaaewMiRI/X777+rUaNGFiesWupFx+roif3KzDrjqB09vl/hoTVVt06zMrlnzZo1Tcf0BADA/S407MowDDVq1Ejt27dXTEwMPQEAAAAAgCWOHTumt956S4sWLZLkPCjqrJJDrlq0aKG+ffuqW7duatmypVsGOIeGhqpTp07q1KmT7r//ftlsNiUmJmrNmjVatGiRkpKSTHlL5pf++Hx79uzRfffdp759++qFF15Q7dq1yzz7leCbAlRYvr6+mj59ujp06KDjx4876uPGjVOHDh00dOhQC9NVPTEt4nT0yGHt2LbFUUs9c1orly5Uz343l/rOLJ6enoqKitKBAwcctaNHjzLwCgDcaNOmTfrpp5+chl01a9ZM11xzjRo3bswOLAAAAAAAwK0GDBig1157TX/7298ctdOnT2vo0KFavXq1/P39LUxXtXh5eat774Fa8OM3Kjxnl/XfVy9VtYhIVYuoeYF3X5l69eqZjo8fP67i4mJ5enqW+r0AAM7ON+wqICBAnTt3Vtu2bRUaGmpROgAAAAAAUNnceOONevPNN/XSSy85aqmpqRo6dKjWrl2rgIAAC9NVLZ4enmrbsofWbZinwqL/9QR27PlVIcHVFRpcvdTvWXKjk1OnTqmwsFDe3t6lfi8AgLO8vDx9/fXXOnz4sKnu7+/v6AmEhYVZEw4AAAAAAEkff/yxJk6cqLy8PMez8K7mnpxda9Wqlfr3769+/fopOjrarVld8fDwUOvWrdW6dWs9/PDDOnTokBYtWqT58+c7Ngi+0OCrRYsWaeXKlXrooYf04IMPuj3/xTCBABVaVFSUpk+f7jTlfdSoUdq+fbtFqaqubtf3VvUakaba7h3btX3LplK7h91uV3JyshYtWmQadiWJaf8A4EYbN250Oeyqa9euuv3229W0aVOGXQEAAAAAAEuMGTNGt9xyi6m2ceNGPfTQQ07fZaBshYSFq8t1fU214uJirfp5jvLzckvtPnl5efr99981ffp0U93T07PUN+QAALiWm5urKVOmOA27CgoK0n333afrrruOYVcAAAAAAKDUvfDCC04bZSckJGj06NH0BNwswD9ErWK7mmo2m00J21aooDCv1O5zvp6Ah4cHG2AAgJuc3QCj5LCrwMBA3Xvvvbr++usZdgUAAAAAsNz/+3//zzHsyjAMp58pttvtCgwM1O23366ZM2dq+vTpuv/++8vFsCtX6tatq/vvv1/Tp0/XzJkzdfvttysoKMjld+GGYchutys3N1fjx493f9hLwBQCVHjx8fFO/4BlZWVpyJAhysjIsCZUFeXt7a2+AwbL28fHVF+zYqmOHz1ynnddnuXLl+uLL77Q2rVrndb4MhQA3GPDhg0uh11169ZNffr04SFCAAAAAABgKQ8PD02ZMkUxMTGm+pQpU/TBBx9YlKrqqteomWJatTPVsjLStXbZglJ52CgzM1Mffvih5syZ49QXCg0NZSg7ALjB2WFXKSkppnpwcLDuueceRUREWJQMAAAAAABUdoZh6Msvv1Tz5s1N9W+//VbvvvuuRamqrsiIempQt4WplpuXpa1Jq2Wz2676+tnZ2froo480Z84cpaammtZCQkLoCQCAG5wdduVqA4x77rlHkZGRFiUDAAAAAMC1c597t9vtstvtatSokcaOHavVq1fr1VdfVWxsrIUJL19sbKxeffVVrVq1SmPHjlXjxo0dn+2s8v68P9/molL4y1/+onvuucdU27Vrl15++WVrAlVhoWHhuqHvTaaazVasRXNnKTcn+6quffLkSa1atcrlmmEY5XZSIgBUJr/99ptmz57tVI+Pj1fv3r3L/R9+AQAAAABA1RAaGqoff/xRQUFBpvqzzz6r5ORki1JVXe269FBEzTqmWsrB/UrcuO6qr7148eLzboBSr169q74+AODCsrOzNWXKFB09etRUZ9gVAAAAAABwl+DgYM2cOVMhISGm+gsvvKB9+/ZZlKrqatqwncJDzcNOTp1J0b4DW6762osXL1Z6errLNXoCAFD2zvYEXA27GjVqlGrUqGFRMgAAAKCKMozK/QJK0dlhUK1bt9b777+vuXPnatiwYfLz87M62lXx8/PTsGHDNGfOHL3//vtq27at0+Cr8oqBV6gUDMPQRx99pA4dOpjqH374oRITEy1KVXU1ahKjth07m2rZWZn6ef5PstmubGcWu92uBQsWuHy/r6+vBgwYoLCwsCu6NgDg4oqKivTTTz9p7ty5Tmvdu3dXr169GHYFAAAAAADKlebNm2vKlCmmWl5enp555hmLElVdnp6e6t57gPz8A0z1rRvWKeXQ/iu+7pEjR5SQkOByrUGDBrrhhhuu+NoAgIs7dOiQJk6c6DTsKiQkRPfcc4+qV69uUTIAAAAAAFDVNGvWTF999ZWplp+fr6efftqiRFWXh4enWrfoIV8ff1N9b/IWnTx9+Iqvm5KSos2bN7tcq1+/vnr27HnF1wYAXNzhw4f18ccfKyUlxVQ/uwEGw64AAAAAAOWV3W5X27Zt9eWXX+r7779X7969rY5UJnr37q2pU6dq8uTJjsFX5RkDr1Bp+Pn5adq0aaYJesXFxXryySfL/T+IlVGnrj1Up655l5SUQwc1/ZsvtCtp22UPvtq+fbv27t1rqoWFhenee+/Vc889p44dO151ZgCAa2lpafrss8+0ceNGp7UePXqoZ8+eDLsCAAAAAADl0pAhQ/TII4+YatOnT9eyZcssSlR1BQQFK773ABke/2tP2u12rVg4S+tX/qzM9NTLup7NZtPs2bOd6n379tVTTz2le+65R6GhoVedGwDgzG63a/369friiy+UmZlpWmPYFQAAAAAAsMott9yiJ554wlSbOXOmfv75Z4sSVV1+vgFq0/I6GYb5kaXN25Zr285flJ2TcVnXs9lsmjNnjtNzIb1799ZTTz2le++9l82zAaCM2O12/fbbb/riiy+UkWH+/fvssKuIiAiL0gEAAAAAcGENGjTQhAkTNHXqVHXp0sXqOG7RuXNnTZ06VRMmTFDDhg2tjnNeXlYHAEpTw4YN9eyzz+qNN95w1JYsWaIff/xRQ4cOtTBZ1ePh4aE+/W/R9G8nKzvrfz/kfOb0KS1dOEfr16xQYFCwDMOQYRjy8DAUFl5d9Ro0UlS9BvL29na8Jy8vT/PnzzddPzg4WH/5y1/k4+Pjts8EAFXRnj17NGPGDOXm5jqtXX/99bruuusYdgUAAAAAAMq1119/XVOnTtXp06cdtccff1ybNm2SlxetMneqWaeu2l7TTZvWr3LUbMU27Unaqr07EhUeESkPDw9JhgxD8vH1VWTtuoqq11AhYdVM30OtX79ex44dM12/T58+6tq1q7s+DgBUSQUFBZo9e7a2bt3qtBYaGqpRo0apWrVqFiQDAAAAAACQ/v73v+vbb7/VyZMnHbUnnnhCCQkJpp9PR9kLD41UTOMO2rHnN0fNZrPp8NHdOnJsj4KDwuVheEqGZMiQl5ePwkNrqkb1KAUGhJp6Ar/99ptSUlJM1+/Vq5fi4+Pd9nkAoCoqLCzU7NmztWXLFqe1kJAQjRo1ig0wAAAAAADl1muvvaZhw4bJ09PT6iiW6NOnj3r16qVp06ZZHcUlfooflc4LL7ygL7/8UocOHXLUnn76afXv31/+/v4WJqt6/AMC1XfAIM2a9l/ZbMWmteysTNMgLElKOXxI27dulqenp+pE11P9ho1VLaKGtq7aqqysLNO5/fv3Z9gVAJQhu92uFStWaMWKFU47Yvn4+OiWW25Rq1atLEoHAAAAAABw6apVq6axY8fq4YcfdtQSExP18ccf65FHHrEwWdXUvE1HnT55TAf37TbV7Xa7zpw87nT+keT92rRupYJCQhVVr5Hq1Gug7MwMZR9KMJ0XGRlZZXZeAgCrnD59Wt99951OnDjhtNaoUSPdeuutCgwMtCAZAAAAAADAH8LCwjRu3DiNHj3aUUtKStKHH36oJ554wsJkVVO9qFilZZzUsRMHTHW73a6MzDNO5588fVi79m2Qv1+QalSPVkS1KOXnZ2vp0gzTeREREbr22mvLMjoAVHmnT5/W999/r+PHnXu4DRo00LBhwxQUFGRBMgAAAAAALs2IESOsjmA5Dw+PcvvXwcPqAEBpCwgI0L/+9S9T7cCBA/rPf/5jUaKqrWbtKN08dLiqVY+45PcUFxfrUPJ+rV6+WD9N/6/27t1rWm/atKmaN29e2lEBAP8nNzdX33zzjZYvX+407CoiIkIPPPAAw64AAAAAAECFMnr0aLVp08ZUe+WVV3T69GmLElVdhmGo6w39FRPX7rJ2TMrKSNfOxE1aNu9H/bpqiQoKCkzrAwcOrLI7MAGAOyQlJemTTz5xOeyqe/fu+tOf/sSwKwAAAAAAUC7ce++9at++van26quv6uTJkxYlqroMw1Cr2G5qULeFPD0u/Tv83LwsHTyyQxu3LtG2XeuUn59vWh84cKC8vLxKOy4A4P/s2LFDn3zyicthV926ddPdd9/NsCsAAACgPPCo5C8AlRr/mKNSGj58uHr06GGqjRs3TocOHbIoUdVWJ7qebvvTfeo3cIgia9W5qmt5e3trwIABMgyjlNIBAM514MABffzxx9qzZ4/TWvPmzTV69GhFRkZakAwAAAAAAODKeXp66r333jPVUlNT9corr1iUqGrz9PJSx6436Jbb71eLNh3l5e19Vdfr0KGD6tatW0rpAADnKigo0IIFC/Tdd985PVjo5+enkSNHqlevXvLw4MdPAAAAAABA+eCqJ5Cenq4xY8ZYlKhq8/TwVEzjjureZaga1mslL6+r6wm0a9dO9evXL6V0AIBzFRYWatGiRZo6dapTT8DX11cjRoxQnz596AkAAAAAAICrxpYGqJQMw9C7776rDh06yGazSZJyc3P13HPP6b///a/F6aomwzDUsHEzNWjUVCdPHNOZUydlt9sdr/y8PB0+uF9HU47I/n//n5Xk5+enYcOGKSwszL3hAaAKyMvL088//6wNGzY4rXl4eKh379669tprGTgIAAAAAAAqrB49emjEiBH67rvvHLWPP/5YDz74oNq0aWNhsqorIDBI7br0UMt2nXQs5ZAK8/Nl1//1Dmw2pZ4+qZSD+5WTnXXea8TExKhfv35uTA0AVcfevXs1e/ZspaWlOa3VrFlTI0aMULVq1dwfDAAAAAAA4CK6deumO++8U998842jNmnSJD344IPq0KGDhcmqLl8ffzVr1F4N67XSmdRjKioqkF12yW6XzW5XVnaqTp4+rLz8nPNeo1mzZurfv78bUwNA1bFv3z7Nnj1bqampTmuRkZEaMWKEqlevbkEyAAAAAABQGTHwCpVW27Zt9ec//1kTJ0501KZOnap///vfioqKsjBZ1WYYhiJr1lZkzdpOa+07Xav8/DwdTj6g5P17dHD/PuXl5crPz09dunRRly5d5OfnZ0FqAKi87Ha7kpKSNG/ePGVlOT84GBgYqNtuu00NGjRwfzgAAAAAAIBS9q9//Us//fSTcnNzJUk2m03vvvuuPv/8c4uTVW0+vn6q17CpyzW73f7H4KtD+3Ukeb9Onzgqu92u+vXr6/rrr1eDBg0Y0g4ApSwnJ0cLFy5UQkKCy/U2bdro5ptvlre3t5uTAQAAAAAAXLq3335bM2fOVHZ2tqQ/vm8eP368vvrqK4uTVW3eXj6qWaOeyzW73a6s7DSdPH1Yp84cUVrGH5ts16tXT9dff70aNmxITwAASllOTo4WLVqkzZs3u1yPi4vTwIED5ePj495gAAAAAACgUmPgFSq1Jk2aONUyMjIYeFWO+fr6qXGzWDVuFiubzaaszAx1bVlPXl78dgUApcFutyszM1MpKSk6evSokpOTdeDAAZfn1qtXT7fddpuCg4PdGxIAAAAAAKCMVK9eXeHh4Y6BV5KUnp5uYSJcjGEYqhYRqWoRkWrVrrMK8vNUVFioYdc1tzoaAFQaRUVFOn78uI4ePaqjR48qKSlJOTk5Tud5eXmpX79+6tixIw8WAgAAAACAcq969eqqVq2aY+CVRE+gvDMMQ8FB4QoOClej+nEqLCpQcXGh7rtvsNXRAKDSKCoq0okTJ3T06FGlpKRox44dpn9XnuXp6am+ffuqU6dO9AQAAAAAAECpY4IMKq1Tp05p7NixplqnTp0UGxtrUSJcLg8PD4WEhjHsCgCugt1u1759+5ScnOxoSrlqSJ3Lx8dHvXr10jXXXCMPDw83JQUAAAAAACh7//73v5WSkmKqjRo1yqI0uBI+vn7y8fWzOgYAVGiZmZnauXOnUlJSlJKSohMnTshms13wPfXr19fAgQMVERHhppQAAAAAAABX55133tGhQ4dMNXoCFYu3l4+8vXysjgEAFVpWVpZ27Njh2DD7xIkTKi4uvuB76tWrp4EDB6pGjRpuSgkAAADgihiSKuuA2kr6sQD8D1NkUGn9/e9/V1pamqk2fvx4psoDAKoEu92u3bt3a8mSJTp+/Pglv69p06a6+eabFRoaWobpAAAAAAAA3O/w4cN6++23TbVevXpp4MCBFiUCAMC9cnJytGrVKv32228qKiq6pPf4+fmpT58+at++Pb12AAAAAABQYRw9elTjxo0z1Xr06KGhQ4dalAgAAPfKycnR6tWr9euvv15yT8DX11d9+vRRhw4d6AkAAAAAAIAyxcArVErHjh3TxIkTTbU77rhD1157rUWJAABwn4yMDE2fPl0HDx685PcEBgaqf//+atmyJc0pAAAAAABQKf3nP/9RTk6O49jDw0P/7//9P74LAQBUCb/99psWL16s/Pz8S35PixYt1L9/fwUHB5dhMgAAAAAAgNL3zjvvKDs723FsGAabZwMAqowNGzZo0aJFl9UTiI2N1U033aSQkJAyTAYAAAAAAPAHBl6hUvr5559VXFzsOPbz89Nbb71lYSIAANyjuLhYX331lU6ePHnB8/z8/FS7dm3Vrl1bderUUbNmzeTj4+OmlAAAAAAAAO43b9480/Ho0aMVFxdnURoAANwnMTFRc+fOveh51atXV506dVS7dm01bNhQtWvXdkM6AAAAAACA0jd//nzT8b333qt27dpZlAYAAPdJSkrS7NmzL3pe9erVHc8SNGjQQLVr12YwJAAAAAAApai4uFinTp1SWlqa8vPzVVhYKG9vb/n6+iosLEwRERHy9PS0OqZlGHiFSmnp0qWm4xtvvFH16tWzKA0AAO6zfv16l8OuatSooWbNmjmaUuHh4TSkAAAAAABAlXH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\n",
      "text/plain": [
       "<Figure size 6000x1800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plot BC on snow concentration\n",
    "#Figure in paper:FIGURE 4\n",
    "lat_ice_obs = [-9.1,-13.9,-16.6]\n",
    "lon_ice_obs = [-77.6,-70.8,-67.8]\n",
    "dep_BCppb_obs = [dep_2014_9['Average BC concentration (ng.g-1)'][0:5].mean(), dep_2014_9['Average BC concentration (ng.g-1)'][5:7].mean(),Illimani_dep_data['Concentration rBC (ppb) Annual mean'][0:5].mean()]\n",
    "\n",
    "BuPu_trans = fp.cmap_trans('BuPu')# makes tranparent at lower end\n",
    "BuPu_trans_r = fp.cmap_trans('BuPu')\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=[20, 6], dpi=300,subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "\n",
    "fig.subplots_adjust(left=None, bottom=None, right=None, top=None,hspace = .15, wspace=.001)\n",
    "axes = axes.flatten()\n",
    "\n",
    "titles= ['a) Huascara\\u0301n snowfall', 'b) Artesonraju snowfall',\n",
    "         'c) Quelccaya snowfall']\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "\n",
    "bounds1 =  np.linspace(0, 15, 26-1)\n",
    "norm1 = matplotlib.colors.BoundaryNorm(boundaries=bounds1,ncolors=256)\n",
    "\n",
    "im =(BC_ppb_Andes['BC_ppb_huas']).plot(ax=axes[0], cmap='BuPu', vmin=0, vmax=15,add_colorbar=False, label = 'BC (ppb)')\n",
    "im1 =(BC_ppb_Andes['BC_ppb_arte']).plot(ax=axes[1], cmap='BuPu',vmin=0, vmax=15,add_colorbar=False, label = 'BC (ppb)')\n",
    "im2 =(BC_ppb_Andes['BC_ppb_que']).plot(ax=axes[2], cmap='BuPu', vmin=0, vmax=15,add_colorbar=False, label = 'BC (ppb)')\n",
    "#im3 =(BC_ppb_Andes['BC_ppb_arun']).plot(ax=axes[3], cmap='BuPu', vmin=0, vmax=15,add_colorbar=False, label = 'BC (ppb)')\n",
    "\n",
    "for i in range(0,3):\n",
    "    axes[i].set_title(titles[i])\n",
    "    axes[i].set_extent([-84, -60, -20, 5])\n",
    "    axes[i].coastlines()\n",
    "    axes[i].add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "    axes[i].text(-69, -13.5, 'Quelccaya',fontsize=14,fontweight='light', ha='left',va='bottom',color='k')#, position=(-69, -10))\n",
    "    axes[i].text(-76.5, -9, 'Huascara\\u0301n',fontsize=14,fontweight='light', ha='left',va='bottom',color='k')#, position=(-69, -10))\n",
    "    axes[i].text(-66, -17, 'Illimani',fontsize=14,fontweight='light', ha='left',va='bottom',color='k')\n",
    "    axes[i].scatter(lon_ice_obs, lat_ice_obs,c=dep_BCppb_obs,transform=ccrs.PlateCarree(),#,c=huas_BCflux[3], \n",
    "            vmin=0, vmax=15,s=200,\n",
    "            cmap='BuPu', edgecolor= 'dimgrey') \n",
    "\n",
    "#cbar=fig.colorbar(im, ax=axes[0], shrink=0.9,label=' ',fraction=0.2, pad=0.03 )\n",
    "#cbar=fig.colorbar(im1, ax=axes[1], shrink=0.9,label='',fraction=0.2, pad=0.03 )\n",
    "cbar=fig.colorbar(im2, ax=axes[2],shrink=0.9,label='BC (ppb)',fraction=0.045, pad=0.04 )\n",
    "#cbar=fig.colorbar(im3, ax=axes[3], shrink=0.8,label='BC [ppb]',fraction=0.2, pad=0.04 )\n",
    "\n",
    "fig.suptitle('BC for Peruvian & Bolivian Andean glaciers, 2014-2019.', y=1.05, fontsize=22);\n",
    "fig.savefig('../PP1_figs/BCAndes_Figure4.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figure in paper: S6\n",
    "# Contribution of smoke BC to total BC flux, 2014-2019\n",
    "\n",
    "\n",
    "YlOrRd_trans = fp.cmap_trans('YlOrRd') # makes tranparent at lower end\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=[16,8])\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "ax.grid(linewidth=1, color='black', alpha=0.25, linestyle='--')\n",
    "\n",
    "ax.set_extent([-84, -60, -22, 3])\n",
    "\n",
    "\n",
    "im=(BCDST_flux2014_19y_avg['smokeratio']).plot(ax=ax,  vmin=0, vmax=1, cmap=YlOrRd_trans,add_colorbar=False)\n",
    "\n",
    "ax.scatter(glaciers_df[' lon'], glaciers_df[' lat'], #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),s=50, \n",
    "           c='grey', marker=\"^\", alpha=0.5, label = 'Glaciers')\n",
    "ax.scatter(lon_obs, lat_obs, #latlon=True,\n",
    "           transform=ccrs.PlateCarree(),\n",
    "           s=150, \n",
    "           c='black', marker=\"x\", alpha=0.8, label = 'Obs.')   \n",
    "\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "\n",
    "# get the symbols and the labels for legend\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "ax.legend(handles, labels,\n",
    "          loc='lower left', ncol=1, handlelength=2, edgecolor='black',\n",
    "          borderpad=0.25)\n",
    "\n",
    "\n",
    "ax.text(-74, -5, 'Peru',fontsize=18,fontweight='bold', ha='right',va='top',color='k')\n",
    "ax.text(-62, -4, 'Brazil',fontsize=18,fontweight='bold', ha='right',va='top',color='k')\n",
    "\n",
    "fig.colorbar(im, ax=ax, label = 'Ratio of smoke BC to total BC' )\n",
    "\n",
    "plt.title('Mean contribution of smoke BC to total BC flux, \\n 2014-2019.', y =1.05, fontsize=22);\n",
    "fig.savefig('../PP1_figs/BCAndes_FigureS6.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting SNICAR Radiative forcing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percent error at Huascaran assuming Huascaran ice core accumulation: -33.62107080714483\n",
      "Percent error at Quelccaya assuming Huascaran ice core accumulation: 54.2772892745411\n",
      "Percent error at Huascaran assuming Artesonraju weather station accumulation: -0.00421039739328415\n",
      "Percent error at Quelccaya assuming Artesonraju weather station accumulation: 132.4092934060397\n"
     ]
    }
   ],
   "source": [
    "##obervations at Huascaran and Quelccaya\n",
    "dep_BCppb_14_19 = [dep_2014_9['Average BC concentration (ng.g-1)'][0:5].mean(), dep_2014_9['Average BC concentration (ng.g-1)'][5:7].mean()]\n",
    "\n",
    "##percent error between the modeled BC total with Huascaran accumulation\n",
    "error_huas_obs_huasaccu = ((SNICAR_table[\"BC - Total [ppb]- huas. accu.\"][0]-dep_BCppb_14_19[0])/dep_BCppb_14_19[0])*100\n",
    "error_que_obs_huasaccu = ((SNICAR_table[\"BC - Total [ppb]- huas. accu.\"][1]-dep_BCppb_14_19[1])/dep_BCppb_14_19[1])*100\n",
    "##percent error between the modeled BC total with Artesonraju accumulation\n",
    "error_huas_obs_arteaccu = ((SNICAR_table[\"BC - Total [ppb]- arte. accu.\"][0]-dep_BCppb_14_19[0])/dep_BCppb_14_19[0])*100\n",
    "error_que_obs_arteaccu = ((SNICAR_table[\"BC - Total [ppb]- arte. accu.\"][1]-dep_BCppb_14_19[1])/dep_BCppb_14_19[1])*100\n",
    "\n",
    "print(\"Percent error at Huascaran assuming Huascaran ice core accumulation: \" + str(error_huas_obs_huasaccu) )\n",
    "print(\"Percent error at Quelccaya assuming Huascaran ice core accumulation: \" + str(error_que_obs_huasaccu) )\n",
    "print(\"Percent error at Huascaran assuming Artesonraju weather station accumulation: \" + str(error_huas_obs_arteaccu) )\n",
    "print(\"Percent error at Quelccaya assuming Artesonraju weather station accumulation: \" + str(error_que_obs_arteaccu) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location</th>\n",
       "      <th>BC - Fire [ppb]- huas. accu.</th>\n",
       "      <th>BC - Total [ppb]- huas. accu.</th>\n",
       "      <th>BC - Fire [ppb]- que. accu.</th>\n",
       "      <th>BC - Total [ppb]- que. accu.</th>\n",
       "      <th>BC - Fire [ppb]- arte. accu.</th>\n",
       "      <th>BC - Total [ppb]- arte. accu.</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>0.733612</td>\n",
       "      <td>3.139839</td>\n",
       "      <td>2.193971</td>\n",
       "      <td>9.390136</td>\n",
       "      <td>1.105141</td>\n",
       "      <td>4.729975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>2.073686</td>\n",
       "      <td>4.906018</td>\n",
       "      <td>6.201655</td>\n",
       "      <td>14.672145</td>\n",
       "      <td>3.123881</td>\n",
       "      <td>7.390616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yanapaccha</td>\n",
       "      <td>0.733612</td>\n",
       "      <td>3.139839</td>\n",
       "      <td>2.193971</td>\n",
       "      <td>9.390136</td>\n",
       "      <td>1.105141</td>\n",
       "      <td>4.729975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shallap</td>\n",
       "      <td>0.405672</td>\n",
       "      <td>2.665109</td>\n",
       "      <td>1.213220</td>\n",
       "      <td>7.970387</td>\n",
       "      <td>0.611120</td>\n",
       "      <td>4.014823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Illimani</td>\n",
       "      <td>4.534293</td>\n",
       "      <td>6.768049</td>\n",
       "      <td>13.560449</td>\n",
       "      <td>20.240817</td>\n",
       "      <td>6.830634</td>\n",
       "      <td>10.195652</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Location  BC - Fire [ppb]- huas. accu.  BC - Total [ppb]- huas. accu.  \\\n",
       "0   Huascaran                      0.733612                       3.139839   \n",
       "1   Quelccaya                      2.073686                       4.906018   \n",
       "2  Yanapaccha                      0.733612                       3.139839   \n",
       "3     Shallap                      0.405672                       2.665109   \n",
       "4    Illimani                      4.534293                       6.768049   \n",
       "\n",
       "   BC - Fire [ppb]- que. accu.  BC - Total [ppb]- que. accu.  \\\n",
       "0                     2.193971                      9.390136   \n",
       "1                     6.201655                     14.672145   \n",
       "2                     2.193971                      9.390136   \n",
       "3                     1.213220                      7.970387   \n",
       "4                    13.560449                     20.240817   \n",
       "\n",
       "   BC - Fire [ppb]- arte. accu.  BC - Total [ppb]- arte. accu.  \n",
       "0                      1.105141                       4.729975  \n",
       "1                      3.123881                       7.390616  \n",
       "2                      1.105141                       4.729975  \n",
       "3                      0.611120                       4.014823  \n",
       "4                      6.830634                      10.195652  "
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RF_table = pd.DataFrame()\n",
    "RF_table = SNICAR_table.copy()\n",
    "##deleting the columns and the rows that are not needed for SNICAR results\n",
    "## only keeping the modeled BC estimates using Huascaran accumulation - the ones closest to the observation averages\n",
    "## and simmulation results using Aruntani accumilation which is the max BC estimates \n",
    "#del RF_table[\"BC - Total [ppb]- que. accu.\"], RF_table[\"BC - Fire [ppb]- que. accu.\"]\n",
    "#del RF_table[\"BC - Total [ppb]- arte. accu.\"], RF_table['BC - Fire [ppb]- arte. accu.']\n",
    "#RF_table = RF_table.drop(2)\n",
    "#RF_table = RF_table.drop(3)\n",
    "RF_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Snowfall_scenario</th>\n",
       "      <th>Location</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>BC_Total_wet_percentage</th>\n",
       "      <th>BC_wet</th>\n",
       "      <th>BC_dry</th>\n",
       "      <th>BC_total</th>\n",
       "      <th>RF direct light (annual mean) grain size = 100</th>\n",
       "      <th>RF diffuse grain size = 100</th>\n",
       "      <th>diff</th>\n",
       "      <th>ratio</th>\n",
       "      <th>RF direct light (annual mean) grain size = 1000</th>\n",
       "      <th>RF diffuse grain size = 1000</th>\n",
       "      <th>diff.1</th>\n",
       "      <th>ratio.1</th>\n",
       "      <th>Unnamed: 16</th>\n",
       "      <th>fresh - fre:total percent</th>\n",
       "      <th>aged - fire:total percent</th>\n",
       "      <th>Unnamed: 19</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>huascaran</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-77.60</td>\n",
       "      <td>0.757</td>\n",
       "      <td>2.37698</td>\n",
       "      <td>0.76302</td>\n",
       "      <td>3.14</td>\n",
       "      <td>0.472477</td>\n",
       "      <td>0.449618</td>\n",
       "      <td>0.022859</td>\n",
       "      <td>0.951618</td>\n",
       "      <td>1.455781</td>\n",
       "      <td>1.388984</td>\n",
       "      <td>0.066797</td>\n",
       "      <td>0.954116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.266756</td>\n",
       "      <td>0.268301</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>quelccaya</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.90</td>\n",
       "      <td>0.864</td>\n",
       "      <td>4.238784</td>\n",
       "      <td>0.667216</td>\n",
       "      <td>4.906</td>\n",
       "      <td>0.700246</td>\n",
       "      <td>0.666709</td>\n",
       "      <td>0.033537</td>\n",
       "      <td>0.952107</td>\n",
       "      <td>2.150317</td>\n",
       "      <td>2.052958</td>\n",
       "      <td>0.097359</td>\n",
       "      <td>0.954723</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.479782</td>\n",
       "      <td>0.482421</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>yanapaccha</td>\n",
       "      <td>-9.03</td>\n",
       "      <td>-77.58</td>\n",
       "      <td>0.757</td>\n",
       "      <td>2.37698</td>\n",
       "      <td>0.76302</td>\n",
       "      <td>3.14</td>\n",
       "      <td>0.472651</td>\n",
       "      <td>0.449778</td>\n",
       "      <td>0.022873</td>\n",
       "      <td>0.951608</td>\n",
       "      <td>1.456315</td>\n",
       "      <td>1.389481</td>\n",
       "      <td>0.066834</td>\n",
       "      <td>0.954107</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.266756</td>\n",
       "      <td>0.268302</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>shallap</td>\n",
       "      <td>-9.49</td>\n",
       "      <td>-77.33</td>\n",
       "      <td>0.721</td>\n",
       "      <td>1.921465</td>\n",
       "      <td>0.743535</td>\n",
       "      <td>2.665</td>\n",
       "      <td>0.403276</td>\n",
       "      <td>0.383813</td>\n",
       "      <td>0.019463</td>\n",
       "      <td>0.951737</td>\n",
       "      <td>1.243870</td>\n",
       "      <td>1.186868</td>\n",
       "      <td>0.057002</td>\n",
       "      <td>0.954173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.174540</td>\n",
       "      <td>0.175561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>illimani</td>\n",
       "      <td>-16.60</td>\n",
       "      <td>-67.78</td>\n",
       "      <td>0.873</td>\n",
       "      <td>5.91021</td>\n",
       "      <td>0.85979</td>\n",
       "      <td>6.77</td>\n",
       "      <td>0.898506</td>\n",
       "      <td>0.855808</td>\n",
       "      <td>0.042697</td>\n",
       "      <td>0.952480</td>\n",
       "      <td>2.752377</td>\n",
       "      <td>2.628251</td>\n",
       "      <td>0.124127</td>\n",
       "      <td>0.954902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.724505</td>\n",
       "      <td>0.726799</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>huascaran</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-77.60</td>\n",
       "      <td>0.757</td>\n",
       "      <td>3.58061</td>\n",
       "      <td>1.14939</td>\n",
       "      <td>4.73</td>\n",
       "      <td>0.671888</td>\n",
       "      <td>0.639280</td>\n",
       "      <td>0.032608</td>\n",
       "      <td>0.951468</td>\n",
       "      <td>2.064373</td>\n",
       "      <td>1.969649</td>\n",
       "      <td>0.094724</td>\n",
       "      <td>0.954115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.276196</td>\n",
       "      <td>0.278272</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>quelccaya</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.90</td>\n",
       "      <td>0.864</td>\n",
       "      <td>6.385824</td>\n",
       "      <td>1.005176</td>\n",
       "      <td>7.391</td>\n",
       "      <td>0.981126</td>\n",
       "      <td>0.933898</td>\n",
       "      <td>0.047228</td>\n",
       "      <td>0.951863</td>\n",
       "      <td>3.002560</td>\n",
       "      <td>2.865892</td>\n",
       "      <td>0.136669</td>\n",
       "      <td>0.954483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.491985</td>\n",
       "      <td>0.495240</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>yanapaccha</td>\n",
       "      <td>-9.03</td>\n",
       "      <td>-77.58</td>\n",
       "      <td>0.757</td>\n",
       "      <td>3.58061</td>\n",
       "      <td>1.14939</td>\n",
       "      <td>4.73</td>\n",
       "      <td>0.672136</td>\n",
       "      <td>0.639508</td>\n",
       "      <td>0.032627</td>\n",
       "      <td>0.951457</td>\n",
       "      <td>2.065130</td>\n",
       "      <td>1.970353</td>\n",
       "      <td>0.094777</td>\n",
       "      <td>0.954106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.276196</td>\n",
       "      <td>0.278272</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>shallap</td>\n",
       "      <td>-9.49</td>\n",
       "      <td>-77.33</td>\n",
       "      <td>0.721</td>\n",
       "      <td>2.89121</td>\n",
       "      <td>1.11879</td>\n",
       "      <td>4.01</td>\n",
       "      <td>0.575964</td>\n",
       "      <td>0.548091</td>\n",
       "      <td>0.027874</td>\n",
       "      <td>0.951605</td>\n",
       "      <td>1.771994</td>\n",
       "      <td>1.690790</td>\n",
       "      <td>0.081204</td>\n",
       "      <td>0.954174</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.181462</td>\n",
       "      <td>0.182864</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>illimani</td>\n",
       "      <td>-16.60</td>\n",
       "      <td>-67.78</td>\n",
       "      <td>0.873</td>\n",
       "      <td>8.901108</td>\n",
       "      <td>1.294892</td>\n",
       "      <td>10.196</td>\n",
       "      <td>1.246116</td>\n",
       "      <td>1.186487</td>\n",
       "      <td>0.059628</td>\n",
       "      <td>0.952149</td>\n",
       "      <td>3.801110</td>\n",
       "      <td>3.629304</td>\n",
       "      <td>0.171806</td>\n",
       "      <td>0.954801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.733409</td>\n",
       "      <td>0.736358</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>huascaran</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-77.60</td>\n",
       "      <td>0.757</td>\n",
       "      <td>7.10823</td>\n",
       "      <td>2.28177</td>\n",
       "      <td>9.39</td>\n",
       "      <td>1.177767</td>\n",
       "      <td>1.120145</td>\n",
       "      <td>0.057622</td>\n",
       "      <td>0.951075</td>\n",
       "      <td>3.596236</td>\n",
       "      <td>3.430959</td>\n",
       "      <td>0.165277</td>\n",
       "      <td>0.954042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.295740</td>\n",
       "      <td>0.298995</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>quelccaya</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.90</td>\n",
       "      <td>0.864</td>\n",
       "      <td>12.67488</td>\n",
       "      <td>1.99512</td>\n",
       "      <td>14.67</td>\n",
       "      <td>1.677546</td>\n",
       "      <td>1.595786</td>\n",
       "      <td>0.081760</td>\n",
       "      <td>0.951262</td>\n",
       "      <td>5.093599</td>\n",
       "      <td>4.860925</td>\n",
       "      <td>0.232674</td>\n",
       "      <td>0.954320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.513706</td>\n",
       "      <td>0.518552</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>yanapaccha</td>\n",
       "      <td>-9.03</td>\n",
       "      <td>-77.58</td>\n",
       "      <td>0.757</td>\n",
       "      <td>7.10823</td>\n",
       "      <td>2.28177</td>\n",
       "      <td>9.39</td>\n",
       "      <td>1.178201</td>\n",
       "      <td>1.120546</td>\n",
       "      <td>0.057655</td>\n",
       "      <td>0.951065</td>\n",
       "      <td>3.597553</td>\n",
       "      <td>3.432187</td>\n",
       "      <td>0.165366</td>\n",
       "      <td>0.954034</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.295741</td>\n",
       "      <td>0.298996</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>shallap</td>\n",
       "      <td>-9.49</td>\n",
       "      <td>-77.33</td>\n",
       "      <td>0.721</td>\n",
       "      <td>5.74637</td>\n",
       "      <td>2.22363</td>\n",
       "      <td>7.97</td>\n",
       "      <td>1.019969</td>\n",
       "      <td>0.970253</td>\n",
       "      <td>0.049715</td>\n",
       "      <td>0.951258</td>\n",
       "      <td>3.120239</td>\n",
       "      <td>2.976986</td>\n",
       "      <td>0.143254</td>\n",
       "      <td>0.954089</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.196268</td>\n",
       "      <td>0.198555</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>illimani</td>\n",
       "      <td>-16.60</td>\n",
       "      <td>-67.78</td>\n",
       "      <td>0.873</td>\n",
       "      <td>17.66952</td>\n",
       "      <td>2.57048</td>\n",
       "      <td>20.24</td>\n",
       "      <td>2.097540</td>\n",
       "      <td>1.995523</td>\n",
       "      <td>0.102017</td>\n",
       "      <td>0.951364</td>\n",
       "      <td>6.340571</td>\n",
       "      <td>6.051846</td>\n",
       "      <td>0.288725</td>\n",
       "      <td>0.954464</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.747393</td>\n",
       "      <td>0.751484</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>FIRE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FIRE</td>\n",
       "      <td>FIRE</td>\n",
       "      <td>FIRE</td>\n",
       "      <td>FIRE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>huascaran</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-77.60</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.58353</td>\n",
       "      <td>0.15047</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.126036</td>\n",
       "      <td>0.119969</td>\n",
       "      <td>0.006067</td>\n",
       "      <td>0.951865</td>\n",
       "      <td>0.390588</td>\n",
       "      <td>0.372655</td>\n",
       "      <td>0.017933</td>\n",
       "      <td>0.954087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>quelccaya</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.90</td>\n",
       "      <td>0.908</td>\n",
       "      <td>1.883192</td>\n",
       "      <td>0.190808</td>\n",
       "      <td>2.074</td>\n",
       "      <td>0.335966</td>\n",
       "      <td>0.319979</td>\n",
       "      <td>0.015986</td>\n",
       "      <td>0.952416</td>\n",
       "      <td>1.037358</td>\n",
       "      <td>0.990340</td>\n",
       "      <td>0.047018</td>\n",
       "      <td>0.954675</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>yanapaccha</td>\n",
       "      <td>-9.03</td>\n",
       "      <td>-77.58</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.58353</td>\n",
       "      <td>0.15047</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.126082</td>\n",
       "      <td>0.120012</td>\n",
       "      <td>0.006070</td>\n",
       "      <td>0.951854</td>\n",
       "      <td>0.390732</td>\n",
       "      <td>0.372788</td>\n",
       "      <td>0.017943</td>\n",
       "      <td>0.954078</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>shallap</td>\n",
       "      <td>-9.49</td>\n",
       "      <td>-77.33</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.311808</td>\n",
       "      <td>0.094192</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.070388</td>\n",
       "      <td>0.067008</td>\n",
       "      <td>0.003380</td>\n",
       "      <td>0.951974</td>\n",
       "      <td>0.218375</td>\n",
       "      <td>0.208361</td>\n",
       "      <td>0.010015</td>\n",
       "      <td>0.954140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>illimani</td>\n",
       "      <td>-16.60</td>\n",
       "      <td>-67.78</td>\n",
       "      <td>0.906</td>\n",
       "      <td>4.107804</td>\n",
       "      <td>0.426196</td>\n",
       "      <td>4.534</td>\n",
       "      <td>0.650972</td>\n",
       "      <td>0.620192</td>\n",
       "      <td>0.030780</td>\n",
       "      <td>0.952717</td>\n",
       "      <td>2.000426</td>\n",
       "      <td>1.910606</td>\n",
       "      <td>0.089820</td>\n",
       "      <td>0.955100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>huascaran</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-77.60</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.878475</td>\n",
       "      <td>0.226525</td>\n",
       "      <td>1.105</td>\n",
       "      <td>0.185573</td>\n",
       "      <td>0.176633</td>\n",
       "      <td>0.008940</td>\n",
       "      <td>0.951823</td>\n",
       "      <td>0.574457</td>\n",
       "      <td>0.548087</td>\n",
       "      <td>0.026370</td>\n",
       "      <td>0.954096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>quelccaya</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.90</td>\n",
       "      <td>0.908</td>\n",
       "      <td>2.836592</td>\n",
       "      <td>0.287408</td>\n",
       "      <td>3.124</td>\n",
       "      <td>0.482699</td>\n",
       "      <td>0.459671</td>\n",
       "      <td>0.023028</td>\n",
       "      <td>0.952292</td>\n",
       "      <td>1.486987</td>\n",
       "      <td>1.419580</td>\n",
       "      <td>0.067407</td>\n",
       "      <td>0.954669</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>yanapaccha</td>\n",
       "      <td>-9.03</td>\n",
       "      <td>-77.58</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.878475</td>\n",
       "      <td>0.226525</td>\n",
       "      <td>1.105</td>\n",
       "      <td>0.185641</td>\n",
       "      <td>0.176696</td>\n",
       "      <td>0.008946</td>\n",
       "      <td>0.951812</td>\n",
       "      <td>0.574668</td>\n",
       "      <td>0.548283</td>\n",
       "      <td>0.026385</td>\n",
       "      <td>0.954086</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>shallap</td>\n",
       "      <td>-9.49</td>\n",
       "      <td>-77.33</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.469248</td>\n",
       "      <td>0.141752</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.104515</td>\n",
       "      <td>0.099493</td>\n",
       "      <td>0.005022</td>\n",
       "      <td>0.951951</td>\n",
       "      <td>0.324033</td>\n",
       "      <td>0.309175</td>\n",
       "      <td>0.014858</td>\n",
       "      <td>0.954146</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Artesonraju</td>\n",
       "      <td>illimani</td>\n",
       "      <td>-16.60</td>\n",
       "      <td>-67.78</td>\n",
       "      <td>0.906</td>\n",
       "      <td>6.188886</td>\n",
       "      <td>0.642114</td>\n",
       "      <td>6.831</td>\n",
       "      <td>0.913913</td>\n",
       "      <td>0.870470</td>\n",
       "      <td>0.043443</td>\n",
       "      <td>0.952465</td>\n",
       "      <td>2.798978</td>\n",
       "      <td>2.672757</td>\n",
       "      <td>0.126220</td>\n",
       "      <td>0.954905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>huascaran</td>\n",
       "      <td>-9.10</td>\n",
       "      <td>-77.60</td>\n",
       "      <td>0.795</td>\n",
       "      <td>1.74423</td>\n",
       "      <td>0.44977</td>\n",
       "      <td>2.194</td>\n",
       "      <td>0.348313</td>\n",
       "      <td>0.331492</td>\n",
       "      <td>0.016821</td>\n",
       "      <td>0.951707</td>\n",
       "      <td>1.075258</td>\n",
       "      <td>1.025915</td>\n",
       "      <td>0.049343</td>\n",
       "      <td>0.954111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.295740</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.298995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>quelccaya</td>\n",
       "      <td>-13.90</td>\n",
       "      <td>-70.90</td>\n",
       "      <td>0.908</td>\n",
       "      <td>5.631416</td>\n",
       "      <td>0.570584</td>\n",
       "      <td>6.202</td>\n",
       "      <td>0.861765</td>\n",
       "      <td>0.820371</td>\n",
       "      <td>0.041394</td>\n",
       "      <td>0.951966</td>\n",
       "      <td>2.641298</td>\n",
       "      <td>2.521031</td>\n",
       "      <td>0.120267</td>\n",
       "      <td>0.954467</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>yanapaccha</td>\n",
       "      <td>-9.03</td>\n",
       "      <td>-77.58</td>\n",
       "      <td>0.795</td>\n",
       "      <td>1.74423</td>\n",
       "      <td>0.44977</td>\n",
       "      <td>2.194</td>\n",
       "      <td>0.348442</td>\n",
       "      <td>0.331611</td>\n",
       "      <td>0.016831</td>\n",
       "      <td>0.951696</td>\n",
       "      <td>1.075653</td>\n",
       "      <td>1.026282</td>\n",
       "      <td>0.049371</td>\n",
       "      <td>0.954101</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>shallap</td>\n",
       "      <td>-9.49</td>\n",
       "      <td>-77.33</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.931584</td>\n",
       "      <td>0.281416</td>\n",
       "      <td>1.213</td>\n",
       "      <td>0.200188</td>\n",
       "      <td>0.190555</td>\n",
       "      <td>0.009633</td>\n",
       "      <td>0.951883</td>\n",
       "      <td>0.619539</td>\n",
       "      <td>0.591139</td>\n",
       "      <td>0.028401</td>\n",
       "      <td>0.954158</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>illimani</td>\n",
       "      <td>-16.60</td>\n",
       "      <td>-67.78</td>\n",
       "      <td>0.906</td>\n",
       "      <td>12.28536</td>\n",
       "      <td>1.27464</td>\n",
       "      <td>13.56</td>\n",
       "      <td>1.567686</td>\n",
       "      <td>1.492200</td>\n",
       "      <td>0.075486</td>\n",
       "      <td>0.951849</td>\n",
       "      <td>4.764836</td>\n",
       "      <td>4.548896</td>\n",
       "      <td>0.215940</td>\n",
       "      <td>0.954680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Snowfall_scenario    Location  Latitude  Longitude BC_Total_wet_percentage  \\\n",
       "0          Huascaran   huascaran     -9.10     -77.60                   0.757   \n",
       "1          Huascaran   quelccaya    -13.90     -70.90                   0.864   \n",
       "2          Huascaran  yanapaccha     -9.03     -77.58                   0.757   \n",
       "3          Huascaran     shallap     -9.49     -77.33                   0.721   \n",
       "4          Huascaran    illimani    -16.60     -67.78                   0.873   \n",
       "5        Artesonraju   huascaran     -9.10     -77.60                   0.757   \n",
       "6        Artesonraju   quelccaya    -13.90     -70.90                   0.864   \n",
       "7        Artesonraju  yanapaccha     -9.03     -77.58                   0.757   \n",
       "8        Artesonraju     shallap     -9.49     -77.33                   0.721   \n",
       "9        Artesonraju    illimani    -16.60     -67.78                   0.873   \n",
       "10         Quelccaya   huascaran     -9.10     -77.60                   0.757   \n",
       "11         Quelccaya   quelccaya    -13.90     -70.90                   0.864   \n",
       "12         Quelccaya  yanapaccha     -9.03     -77.58                   0.757   \n",
       "13         Quelccaya     shallap     -9.49     -77.33                   0.721   \n",
       "14         Quelccaya    illimani    -16.60     -67.78                   0.873   \n",
       "15              FIRE         NaN       NaN        NaN                    FIRE   \n",
       "16         Huascaran   huascaran     -9.10     -77.60                   0.795   \n",
       "17         Huascaran   quelccaya    -13.90     -70.90                   0.908   \n",
       "18         Huascaran  yanapaccha     -9.03     -77.58                   0.795   \n",
       "19         Huascaran     shallap     -9.49     -77.33                   0.768   \n",
       "20         Huascaran    illimani    -16.60     -67.78                   0.906   \n",
       "21       Artesonraju   huascaran     -9.10     -77.60                   0.795   \n",
       "22       Artesonraju   quelccaya    -13.90     -70.90                   0.908   \n",
       "23       Artesonraju  yanapaccha     -9.03     -77.58                   0.795   \n",
       "24       Artesonraju     shallap     -9.49     -77.33                   0.768   \n",
       "25       Artesonraju    illimani    -16.60     -67.78                   0.906   \n",
       "26         Quelccaya   huascaran     -9.10     -77.60                   0.795   \n",
       "27         Quelccaya   quelccaya    -13.90     -70.90                   0.908   \n",
       "28         Quelccaya  yanapaccha     -9.03     -77.58                   0.795   \n",
       "29         Quelccaya     shallap     -9.49     -77.33                   0.768   \n",
       "30         Quelccaya    illimani    -16.60     -67.78                   0.906   \n",
       "\n",
       "      BC_wet    BC_dry BC_total  \\\n",
       "0    2.37698   0.76302     3.14   \n",
       "1   4.238784  0.667216    4.906   \n",
       "2    2.37698   0.76302     3.14   \n",
       "3   1.921465  0.743535    2.665   \n",
       "4    5.91021   0.85979     6.77   \n",
       "5    3.58061   1.14939     4.73   \n",
       "6   6.385824  1.005176    7.391   \n",
       "7    3.58061   1.14939     4.73   \n",
       "8    2.89121   1.11879     4.01   \n",
       "9   8.901108  1.294892   10.196   \n",
       "10   7.10823   2.28177     9.39   \n",
       "11  12.67488   1.99512    14.67   \n",
       "12   7.10823   2.28177     9.39   \n",
       "13   5.74637   2.22363     7.97   \n",
       "14  17.66952   2.57048    20.24   \n",
       "15      FIRE      FIRE     FIRE   \n",
       "16   0.58353   0.15047    0.734   \n",
       "17  1.883192  0.190808    2.074   \n",
       "18   0.58353   0.15047    0.734   \n",
       "19  0.311808  0.094192    0.406   \n",
       "20  4.107804  0.426196    4.534   \n",
       "21  0.878475  0.226525    1.105   \n",
       "22  2.836592  0.287408    3.124   \n",
       "23  0.878475  0.226525    1.105   \n",
       "24  0.469248  0.141752    0.611   \n",
       "25  6.188886  0.642114    6.831   \n",
       "26   1.74423   0.44977    2.194   \n",
       "27  5.631416  0.570584    6.202   \n",
       "28   1.74423   0.44977    2.194   \n",
       "29  0.931584  0.281416    1.213   \n",
       "30  12.28536   1.27464    13.56   \n",
       "\n",
       "    RF direct light (annual mean) grain size = 100  \\\n",
       "0                                         0.472477   \n",
       "1                                         0.700246   \n",
       "2                                         0.472651   \n",
       "3                                         0.403276   \n",
       "4                                         0.898506   \n",
       "5                                         0.671888   \n",
       "6                                         0.981126   \n",
       "7                                         0.672136   \n",
       "8                                         0.575964   \n",
       "9                                         1.246116   \n",
       "10                                        1.177767   \n",
       "11                                        1.677546   \n",
       "12                                        1.178201   \n",
       "13                                        1.019969   \n",
       "14                                        2.097540   \n",
       "15                                             NaN   \n",
       "16                                        0.126036   \n",
       "17                                        0.335966   \n",
       "18                                        0.126082   \n",
       "19                                        0.070388   \n",
       "20                                        0.650972   \n",
       "21                                        0.185573   \n",
       "22                                        0.482699   \n",
       "23                                        0.185641   \n",
       "24                                        0.104515   \n",
       "25                                        0.913913   \n",
       "26                                        0.348313   \n",
       "27                                        0.861765   \n",
       "28                                        0.348442   \n",
       "29                                        0.200188   \n",
       "30                                        1.567686   \n",
       "\n",
       "    RF diffuse grain size = 100      diff     ratio  \\\n",
       "0                      0.449618  0.022859  0.951618   \n",
       "1                      0.666709  0.033537  0.952107   \n",
       "2                      0.449778  0.022873  0.951608   \n",
       "3                      0.383813  0.019463  0.951737   \n",
       "4                      0.855808  0.042697  0.952480   \n",
       "5                      0.639280  0.032608  0.951468   \n",
       "6                      0.933898  0.047228  0.951863   \n",
       "7                      0.639508  0.032627  0.951457   \n",
       "8                      0.548091  0.027874  0.951605   \n",
       "9                      1.186487  0.059628  0.952149   \n",
       "10                     1.120145  0.057622  0.951075   \n",
       "11                     1.595786  0.081760  0.951262   \n",
       "12                     1.120546  0.057655  0.951065   \n",
       "13                     0.970253  0.049715  0.951258   \n",
       "14                     1.995523  0.102017  0.951364   \n",
       "15                          NaN       NaN       NaN   \n",
       "16                     0.119969  0.006067  0.951865   \n",
       "17                     0.319979  0.015986  0.952416   \n",
       "18                     0.120012  0.006070  0.951854   \n",
       "19                     0.067008  0.003380  0.951974   \n",
       "20                     0.620192  0.030780  0.952717   \n",
       "21                     0.176633  0.008940  0.951823   \n",
       "22                     0.459671  0.023028  0.952292   \n",
       "23                     0.176696  0.008946  0.951812   \n",
       "24                     0.099493  0.005022  0.951951   \n",
       "25                     0.870470  0.043443  0.952465   \n",
       "26                     0.331492  0.016821  0.951707   \n",
       "27                     0.820371  0.041394  0.951966   \n",
       "28                     0.331611  0.016831  0.951696   \n",
       "29                     0.190555  0.009633  0.951883   \n",
       "30                     1.492200  0.075486  0.951849   \n",
       "\n",
       "    RF direct light (annual mean) grain size = 1000  \\\n",
       "0                                          1.455781   \n",
       "1                                          2.150317   \n",
       "2                                          1.456315   \n",
       "3                                          1.243870   \n",
       "4                                          2.752377   \n",
       "5                                          2.064373   \n",
       "6                                          3.002560   \n",
       "7                                          2.065130   \n",
       "8                                          1.771994   \n",
       "9                                          3.801110   \n",
       "10                                         3.596236   \n",
       "11                                         5.093599   \n",
       "12                                         3.597553   \n",
       "13                                         3.120239   \n",
       "14                                         6.340571   \n",
       "15                                              NaN   \n",
       "16                                         0.390588   \n",
       "17                                         1.037358   \n",
       "18                                         0.390732   \n",
       "19                                         0.218375   \n",
       "20                                         2.000426   \n",
       "21                                         0.574457   \n",
       "22                                         1.486987   \n",
       "23                                         0.574668   \n",
       "24                                         0.324033   \n",
       "25                                         2.798978   \n",
       "26                                         1.075258   \n",
       "27                                         2.641298   \n",
       "28                                         1.075653   \n",
       "29                                         0.619539   \n",
       "30                                         4.764836   \n",
       "\n",
       "    RF diffuse grain size = 1000    diff.1   ratio.1  Unnamed: 16  \\\n",
       "0                       1.388984  0.066797  0.954116          NaN   \n",
       "1                       2.052958  0.097359  0.954723          NaN   \n",
       "2                       1.389481  0.066834  0.954107          NaN   \n",
       "3                       1.186868  0.057002  0.954173          NaN   \n",
       "4                       2.628251  0.124127  0.954902          NaN   \n",
       "5                       1.969649  0.094724  0.954115          NaN   \n",
       "6                       2.865892  0.136669  0.954483          NaN   \n",
       "7                       1.970353  0.094777  0.954106          NaN   \n",
       "8                       1.690790  0.081204  0.954174          NaN   \n",
       "9                       3.629304  0.171806  0.954801          NaN   \n",
       "10                      3.430959  0.165277  0.954042          NaN   \n",
       "11                      4.860925  0.232674  0.954320          NaN   \n",
       "12                      3.432187  0.165366  0.954034          NaN   \n",
       "13                      2.976986  0.143254  0.954089          NaN   \n",
       "14                      6.051846  0.288725  0.954464          NaN   \n",
       "15                           NaN  0.000000       NaN          NaN   \n",
       "16                      0.372655  0.017933  0.954087          NaN   \n",
       "17                      0.990340  0.047018  0.954675          NaN   \n",
       "18                      0.372788  0.017943  0.954078          NaN   \n",
       "19                      0.208361  0.010015  0.954140          NaN   \n",
       "20                      1.910606  0.089820  0.955100          NaN   \n",
       "21                      0.548087  0.026370  0.954096          NaN   \n",
       "22                      1.419580  0.067407  0.954669          NaN   \n",
       "23                      0.548283  0.026385  0.954086          NaN   \n",
       "24                      0.309175  0.014858  0.954146          NaN   \n",
       "25                      2.672757  0.126220  0.954905          NaN   \n",
       "26                      1.025915  0.049343  0.954111          NaN   \n",
       "27                      2.521031  0.120267  0.954467          NaN   \n",
       "28                      1.026282  0.049371  0.954101          NaN   \n",
       "29                      0.591139  0.028401  0.954158          NaN   \n",
       "30                      4.548896  0.215940  0.954680          NaN   \n",
       "\n",
       "    fresh - fre:total percent  aged - fire:total percent  Unnamed: 19  \n",
       "0                    0.266756                   0.268301          NaN  \n",
       "1                    0.479782                   0.482421          NaN  \n",
       "2                    0.266756                   0.268302          NaN  \n",
       "3                    0.174540                   0.175561          NaN  \n",
       "4                    0.724505                   0.726799          NaN  \n",
       "5                    0.276196                   0.278272          NaN  \n",
       "6                    0.491985                   0.495240          NaN  \n",
       "7                    0.276196                   0.278272          NaN  \n",
       "8                    0.181462                   0.182864          NaN  \n",
       "9                    0.733409                   0.736358          NaN  \n",
       "10                   0.295740                   0.298995          NaN  \n",
       "11                   0.513706                   0.518552          NaN  \n",
       "12                   0.295741                   0.298996          NaN  \n",
       "13                   0.196268                   0.198555          NaN  \n",
       "14                   0.747393                   0.751484          NaN  \n",
       "15                        NaN                        NaN          NaN  \n",
       "16                        NaN                        NaN          NaN  \n",
       "17                        NaN                        NaN          NaN  \n",
       "18                        NaN                        NaN          NaN  \n",
       "19                        NaN                        NaN          NaN  \n",
       "20                        NaN                        NaN          NaN  \n",
       "21                        NaN                        NaN          NaN  \n",
       "22                        NaN                        NaN          NaN  \n",
       "23                        NaN                        NaN          NaN  \n",
       "24                        NaN                        NaN          NaN  \n",
       "25                        NaN                        NaN          NaN  \n",
       "26                   0.295740                        NaN     0.298995  \n",
       "27                        NaN                        NaN          NaN  \n",
       "28                        NaN                        NaN          NaN  \n",
       "29                        NaN                        NaN          NaN  \n",
       "30                        NaN                        NaN          NaN  "
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### insert SNICAR results from C. Whicker\n",
    "#\n",
    "BC_RF_xls=pd.ExcelFile('../BC_Andes_files/BC_GEOS_Chem_data_caw_Apr25.xlsx')\n",
    "RF_SNICAR_data= pd.read_excel(BC_RF_xls,\"Sheet2\")\n",
    "RF_SNICAR_data\n",
    "#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location</th>\n",
       "      <th>BC - Fire [ppb]- huas. accu.</th>\n",
       "      <th>BC - Total [ppb]- huas. accu.</th>\n",
       "      <th>BC - Fire [ppb]- que. accu.</th>\n",
       "      <th>BC - Total [ppb]- que. accu.</th>\n",
       "      <th>BC - Fire [ppb]- arte. accu.</th>\n",
       "      <th>BC - Total [ppb]- arte. accu.</th>\n",
       "      <th>RF - Fire [huas.100]</th>\n",
       "      <th>RF - Total [huas.100]</th>\n",
       "      <th>RF - Diffuse. [huas.100]</th>\n",
       "      <th>...</th>\n",
       "      <th>RF - Diffuse. [que.100]</th>\n",
       "      <th>RF - Fire [huas.1000]</th>\n",
       "      <th>RF - Total [huas.1000]</th>\n",
       "      <th>RF - Diffuse. [huas.1000]</th>\n",
       "      <th>RF - Fire [arte.1000]</th>\n",
       "      <th>RF - Total [arte.1000]</th>\n",
       "      <th>RF - Diffuse. [arte.1000]</th>\n",
       "      <th>RF - Fire [que.1000]</th>\n",
       "      <th>RF - Total [que.1000]</th>\n",
       "      <th>RF - Diffuse. [que.1000]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>0.733612</td>\n",
       "      <td>3.139839</td>\n",
       "      <td>2.193971</td>\n",
       "      <td>9.390136</td>\n",
       "      <td>1.105141</td>\n",
       "      <td>4.729975</td>\n",
       "      <td>0.126036</td>\n",
       "      <td>0.472477</td>\n",
       "      <td>0.449618</td>\n",
       "      <td>...</td>\n",
       "      <td>1.120145</td>\n",
       "      <td>0.390588</td>\n",
       "      <td>1.455781</td>\n",
       "      <td>1.388984</td>\n",
       "      <td>0.574457</td>\n",
       "      <td>2.064373</td>\n",
       "      <td>1.969649</td>\n",
       "      <td>1.075258</td>\n",
       "      <td>3.596236</td>\n",
       "      <td>3.430959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>2.073686</td>\n",
       "      <td>4.906018</td>\n",
       "      <td>6.201655</td>\n",
       "      <td>14.672145</td>\n",
       "      <td>3.123881</td>\n",
       "      <td>7.390616</td>\n",
       "      <td>0.335966</td>\n",
       "      <td>0.700246</td>\n",
       "      <td>0.666709</td>\n",
       "      <td>...</td>\n",
       "      <td>1.595786</td>\n",
       "      <td>1.037358</td>\n",
       "      <td>2.150317</td>\n",
       "      <td>2.052958</td>\n",
       "      <td>1.486987</td>\n",
       "      <td>3.002560</td>\n",
       "      <td>2.865892</td>\n",
       "      <td>2.641298</td>\n",
       "      <td>5.093599</td>\n",
       "      <td>4.860925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yanapaccha</td>\n",
       "      <td>0.733612</td>\n",
       "      <td>3.139839</td>\n",
       "      <td>2.193971</td>\n",
       "      <td>9.390136</td>\n",
       "      <td>1.105141</td>\n",
       "      <td>4.729975</td>\n",
       "      <td>0.126082</td>\n",
       "      <td>0.472651</td>\n",
       "      <td>0.449778</td>\n",
       "      <td>...</td>\n",
       "      <td>1.120546</td>\n",
       "      <td>0.390732</td>\n",
       "      <td>1.456315</td>\n",
       "      <td>1.389481</td>\n",
       "      <td>0.574668</td>\n",
       "      <td>2.065130</td>\n",
       "      <td>1.970353</td>\n",
       "      <td>1.075653</td>\n",
       "      <td>3.597553</td>\n",
       "      <td>3.432187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shallap</td>\n",
       "      <td>0.405672</td>\n",
       "      <td>2.665109</td>\n",
       "      <td>1.213220</td>\n",
       "      <td>7.970387</td>\n",
       "      <td>0.611120</td>\n",
       "      <td>4.014823</td>\n",
       "      <td>0.070388</td>\n",
       "      <td>0.403276</td>\n",
       "      <td>0.383813</td>\n",
       "      <td>...</td>\n",
       "      <td>0.970253</td>\n",
       "      <td>0.218375</td>\n",
       "      <td>1.243870</td>\n",
       "      <td>1.186868</td>\n",
       "      <td>0.324033</td>\n",
       "      <td>1.771994</td>\n",
       "      <td>1.690790</td>\n",
       "      <td>0.619539</td>\n",
       "      <td>3.120239</td>\n",
       "      <td>2.976986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Illimani</td>\n",
       "      <td>4.534293</td>\n",
       "      <td>6.768049</td>\n",
       "      <td>13.560449</td>\n",
       "      <td>20.240817</td>\n",
       "      <td>6.830634</td>\n",
       "      <td>10.195652</td>\n",
       "      <td>0.650972</td>\n",
       "      <td>0.898506</td>\n",
       "      <td>0.855808</td>\n",
       "      <td>...</td>\n",
       "      <td>1.995523</td>\n",
       "      <td>2.000426</td>\n",
       "      <td>2.752377</td>\n",
       "      <td>2.628251</td>\n",
       "      <td>2.798978</td>\n",
       "      <td>3.801110</td>\n",
       "      <td>3.629304</td>\n",
       "      <td>4.764836</td>\n",
       "      <td>6.340571</td>\n",
       "      <td>6.051846</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Location  BC - Fire [ppb]- huas. accu.  BC - Total [ppb]- huas. accu.  \\\n",
       "0   Huascaran                      0.733612                       3.139839   \n",
       "1   Quelccaya                      2.073686                       4.906018   \n",
       "2  Yanapaccha                      0.733612                       3.139839   \n",
       "3     Shallap                      0.405672                       2.665109   \n",
       "4    Illimani                      4.534293                       6.768049   \n",
       "\n",
       "   BC - Fire [ppb]- que. accu.  BC - Total [ppb]- que. accu.  \\\n",
       "0                     2.193971                      9.390136   \n",
       "1                     6.201655                     14.672145   \n",
       "2                     2.193971                      9.390136   \n",
       "3                     1.213220                      7.970387   \n",
       "4                    13.560449                     20.240817   \n",
       "\n",
       "   BC - Fire [ppb]- arte. accu.  BC - Total [ppb]- arte. accu.  \\\n",
       "0                      1.105141                       4.729975   \n",
       "1                      3.123881                       7.390616   \n",
       "2                      1.105141                       4.729975   \n",
       "3                      0.611120                       4.014823   \n",
       "4                      6.830634                      10.195652   \n",
       "\n",
       "   RF - Fire [huas.100]  RF - Total [huas.100]  RF - Diffuse. [huas.100]  ...  \\\n",
       "0              0.126036               0.472477                  0.449618  ...   \n",
       "1              0.335966               0.700246                  0.666709  ...   \n",
       "2              0.126082               0.472651                  0.449778  ...   \n",
       "3              0.070388               0.403276                  0.383813  ...   \n",
       "4              0.650972               0.898506                  0.855808  ...   \n",
       "\n",
       "   RF - Diffuse. [que.100]  RF - Fire [huas.1000]  RF - Total [huas.1000]  \\\n",
       "0                 1.120145               0.390588                1.455781   \n",
       "1                 1.595786               1.037358                2.150317   \n",
       "2                 1.120546               0.390732                1.456315   \n",
       "3                 0.970253               0.218375                1.243870   \n",
       "4                 1.995523               2.000426                2.752377   \n",
       "\n",
       "   RF - Diffuse. [huas.1000]  RF - Fire [arte.1000]  RF - Total [arte.1000]  \\\n",
       "0                   1.388984               0.574457                2.064373   \n",
       "1                   2.052958               1.486987                3.002560   \n",
       "2                   1.389481               0.574668                2.065130   \n",
       "3                   1.186868               0.324033                1.771994   \n",
       "4                   2.628251               2.798978                3.801110   \n",
       "\n",
       "   RF - Diffuse. [arte.1000]  RF - Fire [que.1000]  RF - Total [que.1000]  \\\n",
       "0                   1.969649              1.075258               3.596236   \n",
       "1                   2.865892              2.641298               5.093599   \n",
       "2                   1.970353              1.075653               3.597553   \n",
       "3                   1.690790              0.619539               3.120239   \n",
       "4                   3.629304              4.764836               6.340571   \n",
       "\n",
       "   RF - Diffuse. [que.1000]  \n",
       "0                  3.430959  \n",
       "1                  4.860925  \n",
       "2                  3.432187  \n",
       "3                  2.976986  \n",
       "4                  6.051846  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## addding radiative forcing results from SNICAR \n",
    "#grain size 100 - fresh snow scenario\n",
    "RF_table[\"RF - Fire [huas.100]\"] = RF_SNICAR_data['RF direct light (annual mean) grain size = 100'][16:21].values\n",
    "RF_table[\"RF - Total [huas.100]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 100'][0:5].values\n",
    "RF_table[\"RF - Diffuse. [huas.100]\"]= RF_SNICAR_data['RF diffuse grain size = 100'][0:5].values\n",
    "RF_table[\"RF - Fire [arte.100]\"]=  RF_SNICAR_data['RF direct light (annual mean) grain size = 100'][21:26].values\n",
    "RF_table[\"RF - Total [arte.100]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 100'][5:10].values\n",
    "RF_table[\"RF - Diffuse. [arte.100]\"]= RF_SNICAR_data['RF diffuse grain size = 100'][5:10].values                     \n",
    "RF_table[\"RF - Fire [que.100]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 100'][26:].values\n",
    "RF_table[\"RF - Total [que.100]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 100'][10:15].values\n",
    "RF_table[\"RF - Diffuse. [que.100]\"]= RF_SNICAR_data['RF diffuse grain size = 100'][10:15].values\n",
    "                                                \n",
    "##grain size 1000 - aged snow\n",
    "RF_table[\"RF - Fire [huas.1000]\"] = RF_SNICAR_data['RF direct light (annual mean) grain size = 1000'][16:21].values\n",
    "RF_table[\"RF - Total [huas.1000]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 1000'][0:5].values\n",
    "RF_table[\"RF - Diffuse. [huas.1000]\"]= RF_SNICAR_data['RF diffuse grain size = 1000'][0:5].values\n",
    "RF_table[\"RF - Fire [arte.1000]\"]=  RF_SNICAR_data['RF direct light (annual mean) grain size = 1000'][21:26].values\n",
    "RF_table[\"RF - Total [arte.1000]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 1000'][5:10].values\n",
    "RF_table[\"RF - Diffuse. [arte.1000]\"]= RF_SNICAR_data['RF diffuse grain size = 1000'][5:10].values                     \n",
    "RF_table[\"RF - Fire [que.1000]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 1000'][26:].values\n",
    "RF_table[\"RF - Total [que.1000]\"]= RF_SNICAR_data['RF direct light (annual mean) grain size = 1000'][10:15].values\n",
    "RF_table[\"RF - Diffuse. [que.1000]\"]= RF_SNICAR_data['RF diffuse grain size = 1000'][10:15].values\n",
    "\n",
    "RF_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location</th>\n",
       "      <th>BC-obs</th>\n",
       "      <th>BC Fire-model mean</th>\n",
       "      <th>BC Total-model mean</th>\n",
       "      <th>RF Fire-SNICAR_100 mean</th>\n",
       "      <th>RF Total-SNICAR_100 mean</th>\n",
       "      <th>RF Diffuse-SNICAR_100 mean</th>\n",
       "      <th>RF_100 Fire %</th>\n",
       "      <th>RF Fire-SNICAR_1000 mean</th>\n",
       "      <th>RF Total-SNICAR_1000 mean</th>\n",
       "      <th>RF Diffuse-SNICAR_1000 mean</th>\n",
       "      <th>RF_1000 Fire %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Huascaran</td>\n",
       "      <td>4.730175</td>\n",
       "      <td>1.344241</td>\n",
       "      <td>5.753317</td>\n",
       "      <td>0.219974</td>\n",
       "      <td>0.774044</td>\n",
       "      <td>0.736347</td>\n",
       "      <td>0.284188</td>\n",
       "      <td>0.680101</td>\n",
       "      <td>2.372130</td>\n",
       "      <td>2.263197</td>\n",
       "      <td>0.286705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Quelccaya</td>\n",
       "      <td>3.180000</td>\n",
       "      <td>3.799741</td>\n",
       "      <td>8.989593</td>\n",
       "      <td>0.560143</td>\n",
       "      <td>1.119640</td>\n",
       "      <td>1.065464</td>\n",
       "      <td>0.500289</td>\n",
       "      <td>1.721881</td>\n",
       "      <td>3.415492</td>\n",
       "      <td>3.259925</td>\n",
       "      <td>0.504138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yanapaccha</td>\n",
       "      <td>83.952170</td>\n",
       "      <td>1.344241</td>\n",
       "      <td>5.753317</td>\n",
       "      <td>0.220055</td>\n",
       "      <td>0.774329</td>\n",
       "      <td>0.736611</td>\n",
       "      <td>0.284188</td>\n",
       "      <td>0.680351</td>\n",
       "      <td>2.372999</td>\n",
       "      <td>2.264007</td>\n",
       "      <td>0.286705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shallap</td>\n",
       "      <td>174.847234</td>\n",
       "      <td>0.743338</td>\n",
       "      <td>4.883439</td>\n",
       "      <td>0.125030</td>\n",
       "      <td>0.666403</td>\n",
       "      <td>0.634052</td>\n",
       "      <td>0.187620</td>\n",
       "      <td>0.387316</td>\n",
       "      <td>2.045368</td>\n",
       "      <td>1.951548</td>\n",
       "      <td>0.189362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Illimani</td>\n",
       "      <td>4.612016</td>\n",
       "      <td>8.308459</td>\n",
       "      <td>12.401506</td>\n",
       "      <td>1.044190</td>\n",
       "      <td>1.414054</td>\n",
       "      <td>1.345940</td>\n",
       "      <td>0.738438</td>\n",
       "      <td>3.188080</td>\n",
       "      <td>4.298020</td>\n",
       "      <td>4.103134</td>\n",
       "      <td>0.741756</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Location      BC-obs  BC Fire-model mean  BC Total-model mean  \\\n",
       "0   Huascaran    4.730175            1.344241             5.753317   \n",
       "1   Quelccaya    3.180000            3.799741             8.989593   \n",
       "2  Yanapaccha   83.952170            1.344241             5.753317   \n",
       "3     Shallap  174.847234            0.743338             4.883439   \n",
       "4    Illimani    4.612016            8.308459            12.401506   \n",
       "\n",
       "   RF Fire-SNICAR_100 mean  RF Total-SNICAR_100 mean  \\\n",
       "0                 0.219974                  0.774044   \n",
       "1                 0.560143                  1.119640   \n",
       "2                 0.220055                  0.774329   \n",
       "3                 0.125030                  0.666403   \n",
       "4                 1.044190                  1.414054   \n",
       "\n",
       "   RF Diffuse-SNICAR_100 mean  RF_100 Fire %  RF Fire-SNICAR_1000 mean  \\\n",
       "0                    0.736347       0.284188                  0.680101   \n",
       "1                    1.065464       0.500289                  1.721881   \n",
       "2                    0.736611       0.284188                  0.680351   \n",
       "3                    0.634052       0.187620                  0.387316   \n",
       "4                    1.345940       0.738438                  3.188080   \n",
       "\n",
       "   RF Total-SNICAR_1000 mean  RF Diffuse-SNICAR_1000 mean  RF_1000 Fire %  \n",
       "0                   2.372130                     2.263197        0.286705  \n",
       "1                   3.415492                     3.259925        0.504138  \n",
       "2                   2.372999                     2.264007        0.286705  \n",
       "3                   2.045368                     1.951548        0.189362  \n",
       "4                   4.298020                     4.103134        0.741756  "
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RF_table_final = pd.DataFrame()\n",
    "RF_table_final['Location'] = ['Huascaran', 'Quelccaya', 'Yanapaccha', 'Shallap','Illimani']\n",
    "RF_table_final['BC-obs'] = [dep_2014_9['Average BC concentration (ng.g-1)'][0:5].mean(),\n",
    "                           dep_2014_9['Average BC concentration (ng.g-1)'][5:7].mean(),\n",
    "                           ObsGC_monthly_peru['Yanapaccha_avg (ng/gr)'].mean(),\n",
    "                           ObsGC_monthly_peru['Shallap_avg (ng/gr)'].mean(),\n",
    "                           Illimani_dep_data['Concentration rBC (ppb) Annual mean'][0:5].mean()]\n",
    "RF_table_final['BC Fire-model mean']=(RF_table['BC - Fire [ppb]- que. accu.']+RF_table['BC - Fire [ppb]- huas. accu.']+RF_table['BC - Fire [ppb]- arte. accu.'])/3\n",
    "RF_table_final['BC Total-model mean'] =(RF_table['BC - Total [ppb]- que. accu.']+RF_table['BC - Total [ppb]- huas. accu.']+RF_table['BC - Total [ppb]- arte. accu.'])/3\n",
    "\n",
    "RF_table_final['RF Fire-SNICAR_100 mean']=(RF_table['RF - Fire [huas.100]']+RF_table['RF - Fire [que.100]']+RF_table['RF - Fire [arte.100]'])/3\n",
    "RF_table_final['RF Total-SNICAR_100 mean']= (RF_table['RF - Total [arte.100]']+RF_table['RF - Total [huas.100]']+RF_table['RF - Total [que.100]'])/3\n",
    "RF_table_final['RF Diffuse-SNICAR_100 mean'] = (RF_table['RF - Diffuse. [arte.100]']+RF_table['RF - Diffuse. [huas.100]']+RF_table['RF - Diffuse. [que.100]'])/3\n",
    "RF_table_final['RF_100 Fire %'] = RF_table_final['RF Fire-SNICAR_100 mean']/RF_table_final['RF Total-SNICAR_100 mean']\n",
    "\n",
    "RF_table_final['RF Fire-SNICAR_1000 mean']=(RF_table['RF - Fire [huas.1000]']+RF_table['RF - Fire [que.1000]']+RF_table['RF - Fire [arte.1000]'])/3\n",
    "RF_table_final['RF Total-SNICAR_1000 mean']= (RF_table['RF - Total [arte.1000]']+RF_table['RF - Total [huas.1000]']+RF_table['RF - Total [que.1000]'])/3\n",
    "RF_table_final['RF Diffuse-SNICAR_1000 mean'] = (RF_table['RF - Diffuse. [arte.1000]']+RF_table['RF - Diffuse. [huas.1000]']+RF_table['RF - Diffuse. [que.1000]'])/3\n",
    "RF_table_final['RF_1000 Fire %'] = RF_table_final['RF Fire-SNICAR_1000 mean']/RF_table_final['RF Total-SNICAR_1000 mean']\n",
    "\n",
    "\n",
    "RF_table_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
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AAAAAAAAAAAAAAAAALEIBNwAAAAAAAAAAAAAAAAAAAAAAAAAAAABYhAJuAAAAAAAAAAAAAAAAAAAAAAAAAAAAALAIBdwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYJH/B3FiOlOzboaeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 4800x2400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Figure in paper : Figure 5\n",
    "### bar plot for raditiave forcing\n",
    "### using huascaran ice core as the accumulation\n",
    "##Bar plot---Used in paper\n",
    "fig, ax = plt.subplots(2,sharex = True, figsize=(16, 8), dpi=300)\n",
    "x = np.arange(len(RF_table['Location'].unique()))\n",
    "\n",
    "# Define bar width. We'll use this to offset the second bar.\n",
    "bar_width = 0.4\n",
    "\n",
    "fig.subplots_adjust(hspace =.250)\n",
    "\n",
    "width = 0.35\n",
    "\n",
    "##grain size 100 - fresh snow\n",
    "ax[0].scatter(x- bar_width/3, RF_table[\"RF - Fire [huas.100]\"], marker ='*', color ='firebrick', s=300 )\n",
    "ax[0].scatter(x- bar_width/3, RF_table[\"RF - Fire [arte.100]\"], marker ='D', color ='firebrick', s=150  )\n",
    "ax[0].scatter(x- bar_width/3, RF_table[\"RF - Fire [que.100]\"], marker ='^', color ='firebrick', s=150  )\n",
    "ax[0].errorbar(x- bar_width/3, RF_table_final[\"RF Fire-SNICAR_100 mean\"], [(RF_table_final[\"RF Fire-SNICAR_100 mean\"] - RF_table[\"RF - Fire [huas.100]\"]), (RF_table[\"RF - Fire [que.100]\"] - RF_table_final[\"RF Fire-SNICAR_100 mean\"])],\n",
    "             fmt='_k', ecolor='gray', lw=3, markersize=20, markeredgewidth =4)\n",
    "\n",
    "\n",
    "ax[0].scatter(x, RF_table[\"RF - Total [huas.100]\"], marker ='*', color ='peru', s=300 )\n",
    "ax[0].scatter(x, RF_table[\"RF - Total [arte.100]\"], marker ='D', color ='peru', s=150)\n",
    "ax[0].scatter(x, RF_table[\"RF - Total [que.100]\"], marker ='^', color ='peru', s=150 )\n",
    "ax[0].errorbar(x, RF_table_final[\"RF Total-SNICAR_100 mean\"], [(RF_table_final[\"RF Total-SNICAR_100 mean\"] - RF_table[\"RF - Total [huas.100]\"]), (RF_table[\"RF - Total [que.100]\"] - RF_table_final[\"RF Total-SNICAR_100 mean\"])],\n",
    "             fmt='_k', ecolor='gray', lw=3, markersize=20, markeredgewidth =4)\n",
    "\n",
    "ax[0].scatter(x+ bar_width/3, RF_table[\"RF - Diffuse. [huas.100]\"], marker ='*', color ='Blue', s=300 )\n",
    "ax[0].scatter(x+ bar_width/3, RF_table[\"RF - Diffuse. [arte.100]\"], marker ='D', color ='Blue', s=150 )\n",
    "ax[0].scatter(x+ bar_width/3, RF_table[\"RF - Diffuse. [que.100]\"], marker ='^', color ='Blue', s=150)\n",
    "ax[0].errorbar(x+ bar_width/3, RF_table_final[\"RF Diffuse-SNICAR_100 mean\"], [(RF_table_final[\"RF Diffuse-SNICAR_100 mean\"] - RF_table[\"RF - Diffuse. [huas.100]\"]), (RF_table[\"RF - Diffuse. [que.100]\"] - RF_table_final[\"RF Diffuse-SNICAR_100 mean\"])],\n",
    "             fmt='_k', ecolor='gray', lw=3, markersize=20, markeredgewidth =4)\n",
    "ax[0].set_ylim([0,7.5])\n",
    "\n",
    "##grain size 1000 - aged snow\n",
    "ax[1].scatter(x- bar_width/3, RF_table[\"RF - Fire [huas.1000]\"], marker ='*', color ='firebrick', s=300 )\n",
    "ax[1].scatter(x- bar_width/3, RF_table[\"RF - Fire [arte.1000]\"], marker ='D', color ='firebrick', s=150  )\n",
    "ax[1].scatter(x- bar_width/3, RF_table[\"RF - Fire [que.1000]\"], marker ='^', color ='firebrick', s=150  )\n",
    "ax[1].errorbar(x- bar_width/3, RF_table_final[\"RF Fire-SNICAR_1000 mean\"], [(RF_table_final[\"RF Fire-SNICAR_1000 mean\"] - RF_table[\"RF - Fire [huas.1000]\"]), (RF_table[\"RF - Fire [que.1000]\"] - RF_table_final[\"RF Fire-SNICAR_1000 mean\"])],\n",
    "             fmt='_k', ecolor='gray', lw=3, markersize=20, markeredgewidth =4)\n",
    "\n",
    "\n",
    "ax[1].scatter(x, RF_table[\"RF - Total [huas.1000]\"], marker ='*', color ='peru', s=300 )\n",
    "ax[1].scatter(x, RF_table[\"RF - Total [arte.1000]\"], marker ='D', color ='peru', s=150)\n",
    "ax[1].scatter(x, RF_table[\"RF - Total [que.1000]\"], marker ='^', color ='peru', s=150 )\n",
    "ax[1].errorbar(x, RF_table_final[\"RF Total-SNICAR_1000 mean\"], [(RF_table_final[\"RF Total-SNICAR_1000 mean\"] - RF_table[\"RF - Total [huas.1000]\"]), (RF_table[\"RF - Total [que.1000]\"] - RF_table_final[\"RF Total-SNICAR_1000 mean\"])],\n",
    "             fmt='_k', ecolor='gray', lw=3, markersize=20, markeredgewidth =4)\n",
    "\n",
    "ax[1].scatter(x+ bar_width/3, RF_table[\"RF - Diffuse. [huas.1000]\"], marker ='*', color ='Blue', s=300 )\n",
    "ax[1].scatter(x+ bar_width/3, RF_table[\"RF - Diffuse. [arte.1000]\"], marker ='D', color ='Blue', s=150 )\n",
    "ax[1].scatter(x+ bar_width/3, RF_table[\"RF - Diffuse. [que.1000]\"], marker ='^', color ='Blue', s=150)\n",
    "ax[1].errorbar(x+ bar_width/3, RF_table_final[\"RF Diffuse-SNICAR_1000 mean\"], [(RF_table_final[\"RF Diffuse-SNICAR_1000 mean\"] - RF_table[\"RF - Diffuse. [huas.1000]\"]), (RF_table[\"RF - Diffuse. [que.1000]\"] - RF_table_final[\"RF Diffuse-SNICAR_1000 mean\"])],\n",
    "             fmt='_k', ecolor='gray', lw=3, markersize=20, markeredgewidth =4)\n",
    "\n",
    "ax[1].set_ylim([0,7.5])\n",
    "\n",
    "# for legend\n",
    "ax[0].scatter(np.NaN, np.NaN, marker ='^', color ='Black', s=150, label = \"Quelccaya snowfall\")\n",
    "ax[0].scatter(np.NaN, np.NaN, marker ='D', color ='Black', s=150, label = \"Artesonraju snowfall\")\n",
    "ax[0].scatter(np.NaN, np.NaN, marker ='*', color ='Black', s=300, label = \"Huascara\\u0301n snowfall\")\n",
    "\n",
    "\n",
    "ax[0].scatter(np.NaN, np.NaN, marker ='^', color ='firebrick', s=150, label = \"RF fire, clear sky\")\n",
    "ax[0].scatter(np.NaN, np.NaN, marker ='^', color ='peru', s=150, label = \"RF total, clear sky\")\n",
    "ax[0].scatter(np.NaN, np.NaN, marker ='^', color ='Blue', s=150, label = \"RF total, cloudy sky\")\n",
    "\n",
    "##seperators\n",
    "ax[0].axvline(x=.5, color='gray',ls='--', lw=4)\n",
    "ax[0].axvline(x=1.5, color='gray',ls='--', lw=4)\n",
    "ax[0].axvline(x=2.5, color='gray',ls='--', lw=4)\n",
    "ax[0].axvline(x=3.5, color='gray',ls='--', lw=4)\n",
    "ax[1].axvline(x=.5, color='gray',ls='--', lw=4)\n",
    "ax[1].axvline(x=1.5, color='gray',ls='--', lw=4)\n",
    "ax[1].axvline(x=2.5, color='gray',ls='--', lw=4)\n",
    "ax[1].axvline(x=3.5, color='gray',ls='--', lw=4)\n",
    "\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax[0].set_ylabel('RF (W/m²)', fontsize = 18)\n",
    "ax[1].set_ylabel('RF (W/m²)', fontsize = 18)\n",
    "ax[0].set_title('a) RF for fresh snow, grain size 100$\\mu$m.', y=1.05, fontsize = 18);\n",
    "ax[1].set_title('b) RF for aged snow, grain size 1000$\\mu$m.', y=1.05, fontsize = 18);\n",
    "ax[1].set_xticks(x)\n",
    "ax[1].set_xticklabels(['Huascara\\u0301n', 'Quelccaya', 'Yanapaccha', 'Shallap', 'Illimani'], fontsize = 18)\n",
    "\n",
    "fig.suptitle('Radiative forcing estimates for BC concentration on snow, 2014-2019.', y=1.05, fontsize = 22);\n",
    "\n",
    "fig.legend(loc='upper center', bbox_to_anchor=(0.5, -0.005),\n",
    "          ncol=2, borderaxespad=0.25, fontsize = 18 );\n",
    "fig.savefig('../PP1_figs/BC_Andes_Figure5.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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